GNN for NLP QA
Presenter Papers Paper URL Our Slides QA A Comparison of Current Graph Database Models Pdf...
Reviews by Tag
- generative 15
- graph 10
- relational 10
- attention 10
- GAN 10
- dynamic 10
- RL 10
- QA 9
- Adversarial-Examples 9
- Interpretable 9
- structured 9
- Adversarial 9
- black-box 8
- embedding 7
- NLP 7
- robustness 7
- generalization 7
- visualizing 6
- binary 6
- DNA 6
- optimization 6
- seq2seq 5
- understanding 5
- Variational 5
- discrete 5
- Efficiency 5
- BasicLLM 5
- LLMEvaluate 5
- Mitigate 5
- memory 4
- random 4
- low-rank 4
- protein 4
- Attribution 4
- Autoencoder 4
- molecule 4
- Safety 4
- scalable 3
- sparsity 3
- invariant 3
- software-testing 3
- brain 3
- Expressive 3
- transfer-learning 3
- Composition 3
- noise 3
- Hierarchical 3
- Optimization 3
- RNN 3
- tutorial 3
- AGI 3
- language model 3
- recommendation 2
- BERT 2
- Few-Shot 2
- metric-learning 2
- Certified-Defense 2
- Parallel 2
- RNA 2
- Privacy 2
- learn2learn 2
- white-box 2
- nonparametric 2
- Architecture Search 2
- Model-Criticism 2
- Difference-Analysis 2
- Semi-supervised 2
- Architecture-Search 2
- Hyperparameter 2
- graphical-model 2
- Multi-Task 2
- verification 2
- Genomics 2
- program 2
- EHR 2
- matching 2
- geometric 2
- knowledge-graph 2
- casual 2
- regularization 2
- VAE 2
- adversarial-examples 2
- Relational 2
- Generalization 2
- Protein 2
- Alignment 2
- Agent 2
- text 1
- curriculum 1
- BackProp 1
- NTM 1
- pointer 1
- set 1
- meta-learning 1
- matching net 1
- hash 1
- compression 1
- distributed 1
- dimension reduction 1
- pruning 1
- sketch 1
- secure 1
- Cryptography 1
- EM 1
- propagation 1
- mimic 1
- Metamorphic 1
- Influence Functions 1
- bias-variance 1
- neuroscience 1
- Parsimonious 1
- Associative 1
- Memorization 1
- InfoMax 1
- dialog 1
- blocking 1
- Infomax 1
- Domain-adaptation 1
- Neural-Programming 1
- high-dimensional 1
- Curriculum 1
- Differentiation 1
- Forcing 1
- Autoregressive 1
- Denoising 1
- alphaGO 1
- Planning 1
- Temporal-Difference 1
- Auxiliary 1
- Sampling 1
- Value-Networks 1
- Imitation-Learning 1
- multi-label 1
- Adversarial-loss 1
- Fuzzing 1
- Amortized 1
- trees 1
- interpretable 1
- CRISPR 1
- distillation 1
- heterogeneous 1
- manifold 1
- Beam 1
- imputation 1
- Matrix-Completion 1
- Distributed 1
- mobile 1
- stylometric 1
- binarization 1
- small-data 1
- Quantization 1
- Transfer 1
- Multi-task 1
- encoder-decoder 1
- submodular 1
- safety 1
- model-as-sample 1
- privacy 1
- CNN 1
- loss 1
- analysis 1
- forgetting 1
- training 1
- subspace 1
- informax 1
- normalization 1
- Sample-selection 1
- Graph 1
- Casual 1
- Markov 1
- GCN 1
- graph attention 1
- Generative 1
- mutual-information 1
- Gene-network 1
- Chromatin 1
- language processing 1
- bias 1
- data valuation 1
- shapley 1
- concept 1
- Diffusion 1
- Image synthesis 1
- Human Alignment 1
- Bias 1
- RAG 1
- Hallucination 1
- DomainAdapt 1
- ModelEdit 1
- Interpretibility 1
- Prompting 1
- Reasoning 1
generative
GNN for Graph Generation
Presenter Papers Paper URL Our Slides Generate Maximum-Likelihood Augmented Discrete Generative ...
Generate18- Deep Generative Models for discrete
Presenter Papers Paper URL Our Slides Tkach Boundary-Seeking Generative Adversarial Networks ...
Generate18- Deep Generative Models for Graphs
Presenter Papers Paper URL Our Slides Arshdeep Constrained Graph Variational Autoencoders for Mo...
Application18- DNNs in a Few Bio CRISPR Tasks
Presenter Papers Paper URL Our Slides Arshdeep deepCRISPR: optimized CRISPR guide RNA design by ...
Generative18 -A few more deep discrete Generative Models
Presenter Papers Paper URL Our Slides Arshdeep The Concrete Distribution: A Continuous Relaxatio...
Application18- DNNs in a Few BioMedical Tasks
Presenter Papers Paper URL Our Slides Arshdeep DeepLesion: automated mining of large-scale lesio...
Reliable18- Adversarial Attacks and DNN
Presenter Papers Paper URL Our Slides Bill Intriguing Properties of Adversarial Examples, Ekin D...
Generative18 -Generative Adversarial Network (classified)
Presenter Papers Paper URL Our Slides BrandonLiu Summary of Recent Generative Adversarial Networ...
Application18- Property of DeepNN Models and Discrete tasks
Presenter Papers Paper URL Our Slides Bill Google’s Neural Machine Translation System: Bridging ...
Generative III - GAN training
Presenter Papers Paper URL Our Slides Arshdeep Generalization and Equilibrium in Generative Adve...
Generative II - Deep Generative Models
Presenter Papers Paper URL Our Slides ChaoJiang Courville - Generative Models II DLSS17Sli...
Structure IV - DNN with Attention 2
Presenter Papers Paper URL Our Slides Jack Attend, Adapt and Transfer: Attentive Deep Architectu...
Generative I - GAN tutorial by Ian Goodfellow
Presenter Papers Paper URL Our Slides NIPS 2016 ganerative adversarial network tutorial (NIPS 20...
Generative17- Generative Deep Networks
Presenter Papers Paper URL Our Slides Tobin Energy-Based Generative Adversarial Network 1 ...
graph
GNN for NLP QA
Presenter Papers Paper URL Our Slides QA A Comparison of Current Graph Database Models Pdf...
GNN and scalable
Presenter Papers Paper URL Our Slides Scalable FastGCN: Fast Learning with Graph Convolutional N...
GNN for Graph Generation
Presenter Papers Paper URL Our Slides Generate Maximum-Likelihood Augmented Discrete Generative ...
GNN Robustness
Presenter Papers Paper URL Our Slides Robust Adversarial Attacks on Graph Structured Data ...
Geometric Deep Learning
Presenter Papers Paper URL Our Slides spherical Spherical CNNs Pdf Fuwen PDF + Arsh...
GNN Basics II - Deep Learning Advances on Graphs
Presenter Papers Paper URL Our Slides Matching Deep Learning of Graph Matching, PDF+ PDF ...
Generate18- Deep Generative Models for Graphs
Presenter Papers Paper URL Our Slides Arshdeep Constrained Graph Variational Autoencoders for Mo...
Application18- DNN for QA and MedQA
Presenter Papers Paper URL Our Slides Bill Seq2SQL: Generating Structured Queries from Natural L...
Application18- Graph DNN in a Few Bio Tasks
Presenter Papers Paper URL Our Slides Eric Modeling polypharmacy side effects with graph convolu...
Basic16- Basic DNN Embedding we read for Ranking/QA
Presenter Papers Paper URL Our Slides QA Learning to rank with (a lot of) word features PD...
relational
GNN for BioMed Applications
Presenter Papers Paper URL Our Slides Bio KDEEP: Protein–Ligand Absolute Binding Affinity Predic...
GNN Basics II - Deep Learning Advances on Graphs
Presenter Papers Paper URL Our Slides Matching Deep Learning of Graph Matching, PDF+ PDF ...
Application18- DNN for QA and MedQA
Presenter Papers Paper URL Our Slides Bill Seq2SQL: Generating Structured Queries from Natural L...
Structures18- DNN for Relations
Presenter Papers Paper URL Our Slides Arshdeep Relational inductive biases, deep learning, and g...
Structures18- More Attentions
Presenter Papers Paper URL Our Slides Arshdeep Show, Attend and Tell: Neural Image Caption Gener...
Structure IV - DNN with Attention 2
Presenter Papers Paper URL Our Slides Jack Attend, Adapt and Transfer: Attentive Deep Architectu...
Structure III - DNN with Attention
Presenter Papers Paper URL Our Slides Rita Paying More Attention to Attention: Improving the Per...
Basic BioMed Application Reads we finished before 2017
Presenter Papers Paper URL Our Slides DeepBind Predicting the sequence specificities of DNA- and...
Basic16- Basic DNN Reads we finished for NLP/Text
Presenter Papers Paper URL Our Slides NLP A Neural Probabilistic Language Model PDF ...
Basic16- Basic DNN Embedding we read for Ranking/QA
Presenter Papers Paper URL Our Slides QA Learning to rank with (a lot of) word features PD...
attention
Interpretable Deep Learning
Index Papers Our Slides 0 A survey on Interpreting Deep Learning Models Eli Survey ...
GNN to Understand
Presenter Papers Paper URL Our Slides Understand Faithful and Customizable Explanations of Black...
GNN for BioMed Applications
Presenter Papers Paper URL Our Slides Bio KDEEP: Protein–Ligand Absolute Binding Affinity Predic...
Structures18- DNN for Multiple Label Classification
Presenter Papers Paper URL Our Slides Chao Maximizing Subset Accuracy with Recurrent Neural Netw...
Structures18- More Attentions
Presenter Papers Paper URL Our Slides Arshdeep Show, Attend and Tell: Neural Image Caption Gener...
Generative II - Deep Generative Models
Presenter Papers Paper URL Our Slides ChaoJiang Courville - Generative Models II DLSS17Sli...
Structure IV - DNN with Attention 2
Presenter Papers Paper URL Our Slides Jack Attend, Adapt and Transfer: Attentive Deep Architectu...
Structure III - DNN with Attention
Presenter Papers Paper URL Our Slides Rita Paying More Attention to Attention: Improving the Per...
Basic16- Basic Deep NN with Memory
Presenter Papers Paper URL Our Slides seq2seq Sequence to Sequence Learning with Neural Networks...
Basic16- Basic DNN Reads we finished for NLP/Text
Presenter Papers Paper URL Our Slides NLP A Neural Probabilistic Language Model PDF ...
GAN
GNN for NLP QA
Presenter Papers Paper URL Our Slides QA A Comparison of Current Graph Database Models Pdf...
GNN for Graph Generation
Presenter Papers Paper URL Our Slides Generate Maximum-Likelihood Augmented Discrete Generative ...
Generate18- Deep Generative Models for discrete
Presenter Papers Paper URL Our Slides Tkach Boundary-Seeking Generative Adversarial Networks ...
Generate18- Deep Generative Models for Graphs
Presenter Papers Paper URL Our Slides Arshdeep Constrained Graph Variational Autoencoders for Mo...
Reliable18- Understand DNNs
Presenter Papers Paper URL Our Slides Jack A Unified Approach to Interpreting Model Predictions ...
Generative18 -A few more deep discrete Generative Models
Presenter Papers Paper URL Our Slides Arshdeep The Concrete Distribution: A Continuous Relaxatio...
Generative18 -Generative Adversarial Network (classified)
Presenter Papers Paper URL Our Slides BrandonLiu Summary of Recent Generative Adversarial Networ...
Generative I - GAN tutorial by Ian Goodfellow
Presenter Papers Paper URL Our Slides NIPS 2016 ganerative adversarial network tutorial (NIPS 20...
Generative17- Generative Deep Networks
Presenter Papers Paper URL Our Slides Tobin Energy-Based Generative Adversarial Network 1 ...
dynamic
Edge and Dynamic computing
Presenter Papers Paper URL Our Slides Edge MobileNets: Efficient Convolutional Neural Networks f...
GNN and scalable
Presenter Papers Paper URL Our Slides Scalable FastGCN: Fast Learning with Graph Convolutional N...
Geometric Deep Learning
Presenter Papers Paper URL Our Slides spherical Spherical CNNs Pdf Fuwen PDF + Arsh...
Structure18- DNNs Varying Structures
Presenter Papers Paper URL Our Slides Arshdeep Learning Transferable Architectures for Scalable ...
Optimization III - Optimization for DNN
Presenter Papers Paper URL Our Slides GaoJi Forward and Reverse Gradient-Based Hyperparameter Op...
Structure VI - DNN with Adaptive Structures
Presenter Papers Paper URL Our Slides Anant AdaNet: Adaptive Structural Learning of Artificial N...
Structure V - DNN with Attention 3
Presenter Papers Paper URL Our Slides Tianlu Ask Me Anything: Dynamic Memory Networks for Natura...
Structure III - DNN with Attention
Presenter Papers Paper URL Our Slides Rita Paying More Attention to Attention: Improving the Per...
Structures17 - Adaptive Deep Networks II
Presenter Papers Paper URL Our Slides Arshdeep Image Question Answering using Convolutional Neur...
Structures17 -Adaptive Deep Networks I
Presenter Papers Paper URL Our Slides Arshdeep HyperNetworks, David Ha, Andrew Dai, Quoc V. Le I...
RL
RLHF + InstructGPT
Papers Paper URL Abstract Training language models to follow instructions with human feedback URL ...
Decision Transformers
Decision Transformer: Reinforcement Learning via Sequence Modeling Lili Chen, Kevin Lu, Aravind Rajeswaran, Kimin Lee, Aditya Grover, Michael Laskin, Piet...
A Generalist Agent + offline RL + UniMask
Papers Paper URL Abstract
Deep Reinforcement Learning
Index Papers Our Slides 1 Actor-Critic Methods for Control Jake Survey 2 G...
GNN for Graph Generation
Presenter Papers Paper URL Our Slides Generate Maximum-Likelihood Augmented Discrete Generative ...
Reliable18- Testing and Verifying DNNs
Presenter Papers Paper URL Our Slides GaoJi Deep Reinforcement Fuzzing, Konstantin Böttinger, Pa...
RL II - Basic tutorial RLSS17
Presenter Papers Paper URL Our Slides Jack Hasselt - Deep Reinforcement Learning RLSS17.pd...
Optimization II - DNN for Optimization
Presenter Papers Paper URL Our Slides GaoJi Neural Architecture Search with Reinforcement Learni...
Reinforcement I - Pineau - RL Basic Concepts
Pineau - RL Basic Concepts
QA
GNN for NLP QA
Presenter Papers Paper URL Our Slides QA A Comparison of Current Graph Database Models Pdf...
Application18- DNN for QA and MedQA
Presenter Papers Paper URL Our Slides Bill Seq2SQL: Generating Structured Queries from Natural L...
Application18- A few DNN for Question Answering
Presenter Papers Paper URL Our Slides Derrick GloVe: Global Vectors for Word Representation ...
Reliable Applications III - Interesting Tasks
Presenter Papers Paper URL Our Slides Jack Learning to Query, Reason, and Answer Questions On Am...
Structure V - DNN with Attention 3
Presenter Papers Paper URL Our Slides Tianlu Ask Me Anything: Dynamic Memory Networks for Natura...
Structure III - DNN with Attention
Presenter Papers Paper URL Our Slides Rita Paying More Attention to Attention: Improving the Per...
Structure II - DNN with Varying Structures
Presenter Papers Paper URL Our Slides Shijia Outrageously Large Neural Networks: The Sparsely-Ga...
Structure I - Varying DNN structures
Presenter Papers Paper URL Our Slides Jack Learning End-to-End Goal-Oriented Dialog, ICLR17 1 ...
Basic16- Basic DNN Embedding we read for Ranking/QA
Presenter Papers Paper URL Our Slides QA Learning to rank with (a lot of) word features PD...
Adversarial-Examples
GNN Robustness
Presenter Papers Paper URL Our Slides Robust Adversarial Attacks on Graph Structured Data ...
Reliable18- Adversarial Attacks and DNN
Presenter Papers Paper URL Our Slides Jennifer Adversarial Attacks Against Medical Deep Learning...
Reliable18- Adversarial Attacks and DNN
Presenter Papers Paper URL Our Slides Bill Adversarial Examples that Fool both Computer Vision a...
Reliable18- Testing and Verifying DNNs
Presenter Papers Paper URL Our Slides GaoJi Deep Reinforcement Fuzzing, Konstantin Böttinger, Pa...
Reliable18- Adversarial Attacks and DNN and More
Presenter Papers Paper URL Our Slides Bill Seq2Sick: Evaluating the Robustness of Sequence-to-Se...
Reliable18- Adversarial Attacks and DNN
Presenter Papers Paper URL Our Slides Bill Intriguing Properties of Adversarial Examples, Ekin D...
Reliable Applications VI - Robustness2
Presenter Papers Paper URL Our Slides Tianlu Robustness of classifiers: from adversarial to rand...
Reliable Applications IV - Robustness
Presenter Papers Paper URL Our Slides GaoJi Delving into Transferable Adversarial Examples and B...
Basic16- Basic Deep NN and Robustness
Presenter Papers Paper URL Our Slides AE Intriguing properties of neural networks / PDF ...
Interpretable
Interpretable Deep Learning
Index Papers Our Slides 0 A survey on Interpreting Deep Learning Models Eli Survey ...
GNN to Understand
Presenter Papers Paper URL Our Slides Understand Faithful and Customizable Explanations of Black...
Reliable18- Adversarial Attacks and DNN
Presenter Papers Paper URL Our Slides Jennifer Adversarial Attacks Against Medical Deep Learning...
Reliable18- Adversarial Attacks and DNN
Presenter Papers Paper URL Our Slides Bill Adversarial Examples that Fool both Computer Vision a...
Survey18- My Tutorial Talk at ACM BCB18 - Interpretable Deep Learning for Genomics
Presenter Papers Paper URL Our Slides Dr. Qi Making Deep Learning Understandable for Analyzing S...
Reliable18- Adversarial Attacks and DNN
Presenter Papers Paper URL Our Slides Bill Intriguing Properties of Adversarial Examples, Ekin D...
Reliable Applications I - Understanding
Presenter Papers Paper URL Our Slides Rita Learning Important Features Through Propagating Activ...
Structure II - DNN with Varying Structures
Presenter Papers Paper URL Our Slides Shijia Outrageously Large Neural Networks: The Sparsely-Ga...
Basic16- Basic Deep NN and Robustness
Presenter Papers Paper URL Our Slides AE Intriguing properties of neural networks / PDF ...
structured
GNN Robustness
Presenter Papers Paper URL Our Slides Robust Adversarial Attacks on Graph Structured Data ...
Structures18- DNN for Multiple Label Classification
Presenter Papers Paper URL Our Slides Chao Maximizing Subset Accuracy with Recurrent Neural Netw...
RL IV - RL with varying structures
Presenter Papers Paper URL Our Slides Ceyer Reinforcement Learning with Unsupervised Auxiliary T...
Generative II - Deep Generative Models
Presenter Papers Paper URL Our Slides ChaoJiang Courville - Generative Models II DLSS17Sli...
Structure VI - DNN with Adaptive Structures
Presenter Papers Paper URL Our Slides Anant AdaNet: Adaptive Structural Learning of Artificial N...
Structure III - DNN with Attention
Presenter Papers Paper URL Our Slides Rita Paying More Attention to Attention: Improving the Per...
Structure II - DNN with Varying Structures
Presenter Papers Paper URL Our Slides Shijia Outrageously Large Neural Networks: The Sparsely-Ga...
Structure I - Varying DNN structures
Presenter Papers Paper URL Our Slides Jack Learning End-to-End Goal-Oriented Dialog, ICLR17 1 ...
Adversarial
Safety Benchmark WMDP
The WMDP Benchmark: Measuring and Reducing Malicious Use With Unlearning Nathaniel Li, Alexander Pan, Anjali Gopal, Summer Yue, Daniel Berrios, Alice Gatt...
More FM risk
In this session, our readings cover:
LLM multimodal harm responses
In this session, our readings cover:
FM toxicity / harmful outputs
In this session, our readings cover:
FM fairness / bias issues
In this session, our readings cover:
FM privacy leakage issues
In this session, our readings cover:
FM copyright infrigement
In this session, our readings cover:
Survey AI Risk framework
In this session, our readings cover:
GenAI Guardrails
In this session, our readings cover:
black-box
Interpretable Deep Learning
Index Papers Our Slides 0 A survey on Interpreting Deep Learning Models Eli Survey ...
GNN to Understand
Presenter Papers Paper URL Our Slides Understand Faithful and Customizable Explanations of Black...
Reliable18- Testing and Verifying DNNs
Presenter Papers Paper URL Our Slides GaoJi Deep Reinforcement Fuzzing, Konstantin Böttinger, Pa...
Theoretical17 VI - More about Behaviors of DNN
Presenter Papers Paper URL Our Slides SE Equivariance Through Parameter-Sharing, ICML17 1 ...
Theoretical17 V - More about Behaviors of DNN
Presenter Papers Paper URL Our Slides Ceyer A Closer Look at Memorization in Deep Networks, ICML...
Theoretical17 IV - Investigating Behaviors of DNN
Presenter Papers Paper URL Our Slides Beilun Learning Deep Parsimonious Representations, NIPS16 ...
Theoretical17 III - Investigating Behaviors of DNN
Presenter Papers Paper URL Our Slides Rita On the Expressive Power of Deep Neural Networks 1 ...
Reliable17-Testing and Machine Learning Basics
Presenter Papers Paper URL Our Slides GaoJi A few useful things to know about machine learning ...
embedding
GNN and scalable
Presenter Papers Paper URL Our Slides Scalable FastGCN: Fast Learning with Graph Convolutional N...
GNN for Program Analysis
Presenter Papers Paper URL Our Slides Program Neural network-based graph embedding for cross-pla...
GNN Basics I - Deep Learning Advances on Graphs
Presenter Papers Paper URL Our Notes Basics GraphSAGE: Large-scale Graph Representation Learning...
Application18- A few DNN for Question Answering
Presenter Papers Paper URL Our Slides Derrick GloVe: Global Vectors for Word Representation ...
Application18- Property of DeepNN Models and Discrete tasks
Presenter Papers Paper URL Our Slides Bill Google’s Neural Machine Translation System: Bridging ...
Basic16- Basic DNN Reads we finished for NLP/Text
Presenter Papers Paper URL Our Slides NLP A Neural Probabilistic Language Model PDF ...
Basic16- Basic DNN Embedding we read for Ranking/QA
Presenter Papers Paper URL Our Slides QA Learning to rank with (a lot of) word features PD...
NLP
GNN for NLP QA
Presenter Papers Paper URL Our Slides QA A Comparison of Current Graph Database Models Pdf...
GNN and scalable
Presenter Papers Paper URL Our Slides Scalable FastGCN: Fast Learning with Graph Convolutional N...
GNN for Graph Generation
Presenter Papers Paper URL Our Slides Generate Maximum-Likelihood Augmented Discrete Generative ...
Reliable18- Adversarial Attacks and DNN
Presenter Papers Paper URL Our Slides Jennifer Adversarial Attacks Against Medical Deep Learning...
Application18- Property of DeepNN Models and Discrete tasks
Presenter Papers Paper URL Our Slides Bill Google’s Neural Machine Translation System: Bridging ...
Application18- Property of DeepNN Models and Discrete tasks
Presenter Papers Paper URL Our Slides Bill Google’s Neural Machine Translation System: Bridging ...
Basic16- Basic DNN Reads we finished for NLP/Text
Presenter Papers Paper URL Our Slides NLP A Neural Probabilistic Language Model PDF ...
robustness
Trustworthy Deep Learning
Index Papers Our Slides 1 BIAS ALSO MATTERS: BIAS ATTRIBUTION FOR DEEP NEURAL NETWORK EXPLANATION ...
GNN for Graph Generation
Presenter Papers Paper URL Our Slides Generate Maximum-Likelihood Augmented Discrete Generative ...
Reliable Applications VI - Robustness2
Presenter Papers Paper URL Our Slides Tianlu Robustness of classifiers: from adversarial to rand...
Reliable Applications IV - Robustness
Presenter Papers Paper URL Our Slides GaoJi Delving into Transferable Adversarial Examples and B...
Reliable17-Testing and Machine Learning Basics
Presenter Papers Paper URL Our Slides GaoJi A few useful things to know about machine learning ...
Basic16- Basic Deep NN and Robustness
Presenter Papers Paper URL Our Slides AE Intriguing properties of neural networks / PDF ...
generalization
Generative18 -A few more deep discrete Generative Models
Presenter Papers Paper URL Our Slides Arshdeep The Concrete Distribution: A Continuous Relaxatio...
Generative18 -Generative Adversarial Network (classified)
Presenter Papers Paper URL Our Slides BrandonLiu Summary of Recent Generative Adversarial Networ...
Application18- Property of DeepNN Models and Discrete tasks
Presenter Papers Paper URL Our Slides Bill Google’s Neural Machine Translation System: Bridging ...
Generative III - GAN training
Presenter Papers Paper URL Our Slides Arshdeep Generalization and Equilibrium in Generative Adve...
Theoretical17 VI - More about Behaviors of DNN
Presenter Papers Paper URL Our Slides SE Equivariance Through Parameter-Sharing, ICML17 1 ...
Theoretical17 III - Investigating Behaviors of DNN
Presenter Papers Paper URL Our Slides Rita On the Expressive Power of Deep Neural Networks 1 ...
visualizing
GNN for BioMed Applications
Presenter Papers Paper URL Our Slides Bio KDEEP: Protein–Ligand Absolute Binding Affinity Predic...
Reliable18- Adversarial Attacks and DNN
Presenter Papers Paper URL Our Slides Jennifer Adversarial Attacks Against Medical Deep Learning...
Reliable18- Understand DNNs
Presenter Papers Paper URL Our Slides Jack A Unified Approach to Interpreting Model Predictions ...
Reliable Applications V - Understanding2
Presenter Papers Paper URL Our Slides Rita Visualizing Deep Neural Network Decisions: Prediction...
Theoretical17 II - Ganguli - Theoretical Neuroscience and Deep Learning DLSS16
Ganguli - Theoretical Neuroscience and Deep Learning
Basic16- Basic Deep NN and Robustness
Presenter Papers Paper URL Our Slides AE Intriguing properties of neural networks / PDF ...
binary
Edge and Dynamic computing
Presenter Papers Paper URL Our Slides Edge MobileNets: Efficient Convolutional Neural Networks f...
GNN Robustness
Presenter Papers Paper URL Our Slides Robust Adversarial Attacks on Graph Structured Data ...
Structures17 - Adaptive Deep Networks II
Presenter Papers Paper URL Our Slides Arshdeep Image Question Answering using Convolutional Neur...
Structures17 -Adaptive Deep Networks I
Presenter Papers Paper URL Our Slides Arshdeep HyperNetworks, David Ha, Andrew Dai, Quoc V. Le I...
Basic BioMed Application Reads we finished before 2017
Presenter Papers Paper URL Our Slides DeepBind Predicting the sequence specificities of DNA- and...
Basic16- DNN to be Scalable
Presenter Papers Paper URL Our Slides scalable Sanjiv Kumar (Columbia EECS 6898), Lecture: Intro...
DNA
GNN for BioMed Applications
Presenter Papers Paper URL Our Slides Bio KDEEP: Protein–Ligand Absolute Binding Affinity Predic...
Generate18- Deep Generative Models for Graphs
Presenter Papers Paper URL Our Slides Arshdeep Constrained Graph Variational Autoencoders for Mo...
Application18- DNNs in a Few Bio CRISPR Tasks
Presenter Papers Paper URL Our Slides Arshdeep deepCRISPR: optimized CRISPR guide RNA design by ...
Application18- DNNs in a Few BioMedical Tasks
Presenter Papers Paper URL Our Slides Arshdeep DeepLesion: automated mining of large-scale lesio...
Generative18 -Generative Adversarial Network (classified)
Presenter Papers Paper URL Our Slides BrandonLiu Summary of Recent Generative Adversarial Networ...
Basic BioMed Application Reads we finished before 2017
Presenter Papers Paper URL Our Slides DeepBind Predicting the sequence specificities of DNA- and...
optimization
Optimization and New Loss in Deep Learning
Index Papers Our Slides 1 Review on Semi-Supervised Learning Zhe Survey 2 ...
Optimization I - Understanding DNN Optimization
Presenter Papers Paper URL Our Slides Ceyer An overview of gradient optimization algorithms, 1 ...
Structures17 - Adaptive Deep Networks II
Presenter Papers Paper URL Our Slides Arshdeep Image Question Answering using Convolutional Neur...
Structures17 -Adaptive Deep Networks I
Presenter Papers Paper URL Our Slides Arshdeep HyperNetworks, David Ha, Andrew Dai, Quoc V. Le I...
Optimization17- Optimization in DNN
Presenter Papers Paper URL Our Slides Muthu Optimization Methods for Large-Scale Machine Learnin...
seq2seq
GNN to Understand
Presenter Papers Paper URL Our Slides Understand Faithful and Customizable Explanations of Black...
Application18- DNN for QA and MedQA
Presenter Papers Paper URL Our Slides Bill Seq2SQL: Generating Structured Queries from Natural L...
Reliable18- Adversarial Attacks and DNN and More
Presenter Papers Paper URL Our Slides Bill Seq2Sick: Evaluating the Robustness of Sequence-to-Se...
Basic16- Basic Deep NN with Memory
Presenter Papers Paper URL Our Slides seq2seq Sequence to Sequence Learning with Neural Networks...
Basic16- Basic DNN Reads we finished for NLP/Text
Presenter Papers Paper URL Our Slides NLP A Neural Probabilistic Language Model PDF ...
understanding
Reliable18- Understand DNNs
Presenter Papers Paper URL Our Slides Jack A Unified Approach to Interpreting Model Predictions ...
Theoretical17 VI - More about Behaviors of DNN
Presenter Papers Paper URL Our Slides SE Equivariance Through Parameter-Sharing, ICML17 1 ...
Theoretical17 V - More about Behaviors of DNN
Presenter Papers Paper URL Our Slides Ceyer A Closer Look at Memorization in Deep Networks, ICML...
Theoretical17 IV - Investigating Behaviors of DNN
Presenter Papers Paper URL Our Slides Beilun Learning Deep Parsimonious Representations, NIPS16 ...
Theoretical17 III - Investigating Behaviors of DNN
Presenter Papers Paper URL Our Slides Rita On the Expressive Power of Deep Neural Networks 1 ...
Variational
GNN for Graph Generation
Presenter Papers Paper URL Our Slides Generate Maximum-Likelihood Augmented Discrete Generative ...
Generate18- Deep Generative Models for discrete
Presenter Papers Paper URL Our Slides Tkach Boundary-Seeking Generative Adversarial Networks ...
Generate18- Deep Generative Models for Graphs
Presenter Papers Paper URL Our Slides Arshdeep Constrained Graph Variational Autoencoders for Mo...
Generative18 -A few more deep discrete Generative Models
Presenter Papers Paper URL Our Slides Arshdeep The Concrete Distribution: A Continuous Relaxatio...
Structures18- More Attentions
Presenter Papers Paper URL Our Slides Arshdeep Show, Attend and Tell: Neural Image Caption Gener...
discrete
GNN and scalable
Presenter Papers Paper URL Our Slides Scalable FastGCN: Fast Learning with Graph Convolutional N...
GNN for Graph Generation
Presenter Papers Paper URL Our Slides Generate Maximum-Likelihood Augmented Discrete Generative ...
Generate18- Deep Generative Models for discrete
Presenter Papers Paper URL Our Slides Tkach Boundary-Seeking Generative Adversarial Networks ...
Generate18- Deep Generative Models for Graphs
Presenter Papers Paper URL Our Slides Arshdeep Constrained Graph Variational Autoencoders for Mo...
Generative18 -A few more deep discrete Generative Models
Presenter Papers Paper URL Our Slides Arshdeep The Concrete Distribution: A Continuous Relaxatio...
Efficiency
KV Cache and Tooling
KV Caching in LLM:
Advanced Transformer Architectures
In this session, our readings cover:
Recent LLM basics
In this session, our readings cover:
LLM Scaling law and Efficiency
In this session, our readings cover:
Stable diffusion + DreamBooth + LoRA
Stable diffusion URL “High-Resolution Image Synthesis with Latent Diffusion Models”
BasicLLM
Recent LLM basics
In this session, our readings cover:
Open Source LLM - Mistral Data preparation
In this session, our readings cover:
Survey LLMs and Multimodal FMs
In this session, our readings cover:
LLM basics
Required Readings:
NLP Basics Introduction
Readings:
LLMEvaluate
Safety Benchmark WMDP
The WMDP Benchmark: Measuring and Reducing Malicious Use With Unlearning Nathaniel Li, Alexander Pan, Anjali Gopal, Summer Yue, Daniel Berrios, Alice Gatt...
FM privacy leakage issues
In this session, our readings cover:
FM copyright infrigement
In this session, our readings cover:
Survey AI Risk framework
In this session, our readings cover:
LLM evaluating framework
In this session, our readings cover:
Mitigate
Safety Benchmark WMDP
The WMDP Benchmark: Measuring and Reducing Malicious Use With Unlearning Nathaniel Li, Alexander Pan, Anjali Gopal, Summer Yue, Daniel Berrios, Alice Gatt...
FM privacy leakage issues
In this session, our readings cover:
FM copyright infrigement
In this session, our readings cover:
Survey AI Risk framework
In this session, our readings cover:
GenAI Guardrails
In this session, our readings cover:
memory
Structure V - DNN with Attention 3
Presenter Papers Paper URL Our Slides Tianlu Ask Me Anything: Dynamic Memory Networks for Natura...
Structure IV - DNN with Attention 2
Presenter Papers Paper URL Our Slides Jack Attend, Adapt and Transfer: Attentive Deep Architectu...
Theoretical17 IV - Investigating Behaviors of DNN
Presenter Papers Paper URL Our Slides Beilun Learning Deep Parsimonious Representations, NIPS16 ...
Basic16- Basic Deep NN with Memory
Presenter Papers Paper URL Our Slides seq2seq Sequence to Sequence Learning with Neural Networks...
random
GNN for Graph Generation
Presenter Papers Paper URL Our Slides Generate Maximum-Likelihood Augmented Discrete Generative ...
Reliable Applications I - Understanding
Presenter Papers Paper URL Our Slides Rita Learning Important Features Through Propagating Activ...
Basic BioMed Application Reads we finished before 2017
Presenter Papers Paper URL Our Slides DeepBind Predicting the sequence specificities of DNA- and...
Basic16- DNN to be Scalable
Presenter Papers Paper URL Our Slides scalable Sanjiv Kumar (Columbia EECS 6898), Lecture: Intro...
low-rank
Latent and Generative Deep Learning
Index Papers Our Slides 1 Beta VAE, Ladder VAE, Causal VAE Arsh Survey 2 L...
Structures17 - Adaptive Deep Networks II
Presenter Papers Paper URL Our Slides Arshdeep Image Question Answering using Convolutional Neur...
Structures17 -Adaptive Deep Networks I
Presenter Papers Paper URL Our Slides Arshdeep HyperNetworks, David Ha, Andrew Dai, Quoc V. Le I...
Basic16- DNN to be Scalable
Presenter Papers Paper URL Our Slides scalable Sanjiv Kumar (Columbia EECS 6898), Lecture: Intro...
protein
GNN for BioMed Applications
Presenter Papers Paper URL Our Slides Bio KDEEP: Protein–Ligand Absolute Binding Affinity Predic...
Application18- Graph DNN in a Few Bio Tasks
Presenter Papers Paper URL Our Slides Eric Modeling polypharmacy side effects with graph convolu...
Application18- DNNs in a Few Bio CRISPR Tasks
Presenter Papers Paper URL Our Slides Arshdeep deepCRISPR: optimized CRISPR guide RNA design by ...
Basic BioMed Application Reads we finished before 2017
Presenter Papers Paper URL Our Slides DeepBind Predicting the sequence specificities of DNA- and...
Attribution
Reliable18- Understand DNNs
Presenter Papers Paper URL Our Slides Jack A Unified Approach to Interpreting Model Predictions ...
Reliable Applications V - Understanding2
Presenter Papers Paper URL Our Slides Rita Visualizing Deep Neural Network Decisions: Prediction...
Reliable Applications I - Understanding
Presenter Papers Paper URL Our Slides Rita Learning Important Features Through Propagating Activ...
Autoencoder
GNN for Graph Generation
Presenter Papers Paper URL Our Slides Generate Maximum-Likelihood Augmented Discrete Generative ...
Generate18- Deep Generative Models for discrete
Presenter Papers Paper URL Our Slides Tkach Boundary-Seeking Generative Adversarial Networks ...
Generate18- Deep Generative Models for Graphs
Presenter Papers Paper URL Our Slides Arshdeep Constrained Graph Variational Autoencoders for Mo...
Generative18 -A few more deep discrete Generative Models
Presenter Papers Paper URL Our Slides Arshdeep The Concrete Distribution: A Continuous Relaxatio...
molecule
GNN for Graph Generation
Presenter Papers Paper URL Our Slides Generate Maximum-Likelihood Augmented Discrete Generative ...
GNN for BioMed Applications
Presenter Papers Paper URL Our Slides Bio KDEEP: Protein–Ligand Absolute Binding Affinity Predic...
Generate18- Deep Generative Models for Graphs
Presenter Papers Paper URL Our Slides Arshdeep Constrained Graph Variational Autoencoders for Mo...
Application18- Graph DNN in a Few Bio Tasks
Presenter Papers Paper URL Our Slides Eric Modeling polypharmacy side effects with graph convolu...
Safety
Safety Benchmark WMDP
The WMDP Benchmark: Measuring and Reducing Malicious Use With Unlearning Nathaniel Li, Alexander Pan, Anjali Gopal, Summer Yue, Daniel Berrios, Alice Gatt...
More FM risk
In this session, our readings cover:
LLM multimodal harm responses
In this session, our readings cover:
FM toxicity / harmful outputs
In this session, our readings cover:
scalable
GNN Basics I - Deep Learning Advances on Graphs
Presenter Papers Paper URL Our Notes Basics GraphSAGE: Large-scale Graph Representation Learning...
Optimization17- Optimization in DNN
Presenter Papers Paper URL Our Slides Muthu Optimization Methods for Large-Scale Machine Learnin...
Basic16- DNN to be Scalable
Presenter Papers Paper URL Our Slides scalable Sanjiv Kumar (Columbia EECS 6898), Lecture: Intro...
sparsity
Structure II - DNN with Varying Structures
Presenter Papers Paper URL Our Slides Shijia Outrageously Large Neural Networks: The Sparsely-Ga...
Structure I - Varying DNN structures
Presenter Papers Paper URL Our Slides Jack Learning End-to-End Goal-Oriented Dialog, ICLR17 1 ...
Basic16- DNN to be Scalable
Presenter Papers Paper URL Our Slides scalable Sanjiv Kumar (Columbia EECS 6898), Lecture: Intro...
invariant
Geometric Deep Learning
Presenter Papers Paper URL Our Slides spherical Spherical CNNs Pdf Fuwen PDF + Arsh...
GNN Basics I - Deep Learning Advances on Graphs
Presenter Papers Paper URL Our Notes Basics GraphSAGE: Large-scale Graph Representation Learning...
Basic BioMed Application Reads we finished before 2017
Presenter Papers Paper URL Our Slides DeepBind Predicting the sequence specificities of DNA- and...
software-testing
Reliable18- Adversarial Attacks and DNN
Presenter Papers Paper URL Our Slides Bill Adversarial Examples that Fool both Computer Vision a...
Reliable18- Testing and Verifying DNNs
Presenter Papers Paper URL Our Slides GaoJi Deep Reinforcement Fuzzing, Konstantin Böttinger, Pa...
Reliable17-Testing and Machine Learning Basics
Presenter Papers Paper URL Our Slides GaoJi A few useful things to know about machine learning ...
brain
Application18- DNNs in a Few Bio CRISPR Tasks
Presenter Papers Paper URL Our Slides Arshdeep deepCRISPR: optimized CRISPR guide RNA design by ...
Application18- DNNs in a Few BioMedical Tasks
Presenter Papers Paper URL Our Slides Arshdeep DeepLesion: automated mining of large-scale lesio...
Theoretical17 II - Ganguli - Theoretical Neuroscience and Deep Learning DLSS16
Ganguli - Theoretical Neuroscience and Deep Learning
Expressive
Theoretical17 VI - More about Behaviors of DNN
Presenter Papers Paper URL Our Slides SE Equivariance Through Parameter-Sharing, ICML17 1 ...
Theoretical17 V - More about Behaviors of DNN
Presenter Papers Paper URL Our Slides Ceyer A Closer Look at Memorization in Deep Networks, ICML...
Theoretical17 III - Investigating Behaviors of DNN
Presenter Papers Paper URL Our Slides Rita On the Expressive Power of Deep Neural Networks 1 ...
transfer-learning
Meta Deep Learning
Index Papers Our Slides 1 Invariant Risk Minimization Zhe Survey 2 Causal ...
Structure IV - DNN with Attention 2
Presenter Papers Paper URL Our Slides Jack Attend, Adapt and Transfer: Attentive Deep Architectu...
Structure III - DNN with Attention
Presenter Papers Paper URL Our Slides Rita Paying More Attention to Attention: Improving the Per...
Composition
Generative II - Deep Generative Models
Presenter Papers Paper URL Our Slides ChaoJiang Courville - Generative Models II DLSS17Sli...
Reliable Applications VI - Robustness2
Presenter Papers Paper URL Our Slides Tianlu Robustness of classifiers: from adversarial to rand...
Reliable Applications V - Understanding2
Presenter Papers Paper URL Our Slides Rita Visualizing Deep Neural Network Decisions: Prediction...
noise
GNN to Understand
Presenter Papers Paper URL Our Slides Understand Faithful and Customizable Explanations of Black...
Reliable Applications VI - Robustness2
Presenter Papers Paper URL Our Slides Tianlu Robustness of classifiers: from adversarial to rand...
Reliable Applications III - Interesting Tasks
Presenter Papers Paper URL Our Slides Jack Learning to Query, Reason, and Answer Questions On Am...
Hierarchical
GNN and scalable
Presenter Papers Paper URL Our Slides Scalable FastGCN: Fast Learning with Graph Convolutional N...
RL IV - RL with varying structures
Presenter Papers Paper URL Our Slides Ceyer Reinforcement Learning with Unsupervised Auxiliary T...
Reliable Applications III - Interesting Tasks
Presenter Papers Paper URL Our Slides Jack Learning to Query, Reason, and Answer Questions On Am...
Optimization
Optimization IV - change DNN architecture for Optimization
Presenter Papers Paper URL Our Slides Shijia Professor Forcing: A New Algorithm for Training Rec...
Optimization III - Optimization for DNN
Presenter Papers Paper URL Our Slides GaoJi Forward and Reverse Gradient-Based Hyperparameter Op...
Optimization II - DNN for Optimization
Presenter Papers Paper URL Our Slides GaoJi Neural Architecture Search with Reinforcement Learni...
RNN
GNN for Graph Generation
Presenter Papers Paper URL Our Slides Generate Maximum-Likelihood Augmented Discrete Generative ...
Structures18- DNN for Multiple Label Classification
Presenter Papers Paper URL Our Slides Chao Maximizing Subset Accuracy with Recurrent Neural Netw...
tutorial
Introductory reads on DeepLearning
Type Papers Paper URL Our Slides Dr Qi Survey of 10 DeepLearning (DL) trends different from clas...
A general survey
Presenter Papers Paper URL Our Slides Dr Qi Survey of Recent DeepLearning to 12 Groups / PDF ...
Survey18- My Tutorial Talk at ACM BCB18 - Interpretable Deep Learning for Genomics
Presenter Papers Paper URL Our Slides Dr. Qi Making Deep Learning Understandable for Analyzing S...
AGI
RLHF + InstructGPT
Papers Paper URL Abstract Training language models to follow instructions with human feedback URL ...
Decision Transformers
Decision Transformer: Reinforcement Learning via Sequence Modeling Lili Chen, Kevin Lu, Aravind Rajeswaran, Kimin Lee, Aditya Grover, Michael Laskin, Piet...
A Generalist Agent + offline RL + UniMask
Papers Paper URL Abstract
language model
RLHF + InstructGPT
Papers Paper URL Abstract Training language models to follow instructions with human feedback URL ...
Emergent Abilities of LLM + ICLR
Emergent Abilities of Large Language Models URL “an ability to be emergent if it is not present in smaller models but is present in larger models. Thus...
DiffDock + ESMfold
Papers Paper URL Abstract Evolutionary-scale prediction of atomic level protein structure with a language mo...
recommendation
Application18- DNN for QA and MedQA
Presenter Papers Paper URL Our Slides Bill Seq2SQL: Generating Structured Queries from Natural L...
Basic16- Basic DNN Embedding we read for Ranking/QA
Presenter Papers Paper URL Our Slides QA Learning to rank with (a lot of) word features PD...
BERT
Basic16- Basic DNN Reads we finished for NLP/Text
Presenter Papers Paper URL Our Slides NLP A Neural Probabilistic Language Model PDF ...
Few-Shot
Optimization II - DNN for Optimization
Presenter Papers Paper URL Our Slides GaoJi Neural Architecture Search with Reinforcement Learni...
Basic16- Basic Deep NN with Memory
Presenter Papers Paper URL Our Slides seq2seq Sequence to Sequence Learning with Neural Networks...
metric-learning
Application18- A few DNN for Question Answering
Presenter Papers Paper URL Our Slides Derrick GloVe: Global Vectors for Word Representation ...
Basic16- Basic Deep NN with Memory
Presenter Papers Paper URL Our Slides seq2seq Sequence to Sequence Learning with Neural Networks...
Certified-Defense
Reliable18- Adversarial Attacks and DNN and More
Presenter Papers Paper URL Our Slides Bill Seq2Sick: Evaluating the Robustness of Sequence-to-Se...
Basic16- Basic Deep NN and Robustness
Presenter Papers Paper URL Our Slides AE Intriguing properties of neural networks / PDF ...
Parallel
GNN and scalable
Presenter Papers Paper URL Our Slides Scalable FastGCN: Fast Learning with Graph Convolutional N...
Basic16- DNN to be Scalable
Presenter Papers Paper URL Our Slides scalable Sanjiv Kumar (Columbia EECS 6898), Lecture: Intro...
RNA
Application18- DNNs in a Few BioMedical Tasks
Presenter Papers Paper URL Our Slides Arshdeep DeepLesion: automated mining of large-scale lesio...
Basic BioMed Application Reads we finished before 2017
Presenter Papers Paper URL Our Slides DeepBind Predicting the sequence specificities of DNA- and...
Privacy
Reliable Applications II - Data privacy
Presenter Papers Paper URL Our Slides Xueying Semi-supervised Knowledge Transfer for Deep Learni...
Reliable17-Secure Machine Learning
Presenter Papers Paper URL Our Slides Tobin Summary of A few Papers on: Machine Learning and Cry...
learn2learn
Structures17 - Adaptive Deep Networks II
Presenter Papers Paper URL Our Slides Arshdeep Image Question Answering using Convolutional Neur...
Structures17 -Adaptive Deep Networks I
Presenter Papers Paper URL Our Slides Arshdeep HyperNetworks, David Ha, Andrew Dai, Quoc V. Le I...
white-box
Reliable18- Testing and Verifying DNNs
Presenter Papers Paper URL Our Slides GaoJi Deep Reinforcement Fuzzing, Konstantin Böttinger, Pa...
Reliable17-Testing and Machine Learning Basics
Presenter Papers Paper URL Our Slides GaoJi A few useful things to know about machine learning ...
nonparametric
Structure II - DNN with Varying Structures
Presenter Papers Paper URL Our Slides Shijia Outrageously Large Neural Networks: The Sparsely-Ga...
Structure I - Varying DNN structures
Presenter Papers Paper URL Our Slides Jack Learning End-to-End Goal-Oriented Dialog, ICLR17 1 ...
Architecture Search
Optimization II - DNN for Optimization
Presenter Papers Paper URL Our Slides GaoJi Neural Architecture Search with Reinforcement Learni...
Structure VI - DNN with Adaptive Structures
Presenter Papers Paper URL Our Slides Anant AdaNet: Adaptive Structural Learning of Artificial N...
Model-Criticism
Generative III - GAN training
Presenter Papers Paper URL Our Slides Arshdeep Generalization and Equilibrium in Generative Adve...
Reliable Applications I - Understanding
Presenter Papers Paper URL Our Slides Rita Learning Important Features Through Propagating Activ...
Difference-Analysis
Reliable Applications V - Understanding2
Presenter Papers Paper URL Our Slides Rita Visualizing Deep Neural Network Decisions: Prediction...
Reliable Applications I - Understanding
Presenter Papers Paper URL Our Slides Rita Learning Important Features Through Propagating Activ...
Semi-supervised
GNN Basics II - Deep Learning Advances on Graphs
Presenter Papers Paper URL Our Slides Matching Deep Learning of Graph Matching, PDF+ PDF ...
Reliable Applications II - Data privacy
Presenter Papers Paper URL Our Slides Xueying Semi-supervised Knowledge Transfer for Deep Learni...
Architecture-Search
Structure18- DNNs Varying Structures
Presenter Papers Paper URL Our Slides Arshdeep Learning Transferable Architectures for Scalable ...
Optimization III - Optimization for DNN
Presenter Papers Paper URL Our Slides GaoJi Forward and Reverse Gradient-Based Hyperparameter Op...
Hyperparameter
Structure18- DNNs Varying Structures
Presenter Papers Paper URL Our Slides Arshdeep Learning Transferable Architectures for Scalable ...
Optimization III - Optimization for DNN
Presenter Papers Paper URL Our Slides GaoJi Forward and Reverse Gradient-Based Hyperparameter Op...
graphical-model
GNN for Graph Generation
Presenter Papers Paper URL Our Slides Generate Maximum-Likelihood Augmented Discrete Generative ...
Generative II - Deep Generative Models
Presenter Papers Paper URL Our Slides ChaoJiang Courville - Generative Models II DLSS17Sli...
Multi-Task
Meta Deep Learning
Index Papers Our Slides 1 Invariant Risk Minimization Zhe Survey 2 Causal ...
RL II - Basic tutorial RLSS17
Presenter Papers Paper URL Our Slides Jack Hasselt - Deep Reinforcement Learning RLSS17.pd...
verification
Reliable18- Testing and Verifying DNNs
Presenter Papers Paper URL Our Slides GaoJi Deep Reinforcement Fuzzing, Konstantin Böttinger, Pa...
Genomics
Application18- DNNs in a Few Bio CRISPR Tasks
Presenter Papers Paper URL Our Slides Arshdeep deepCRISPR: optimized CRISPR guide RNA design by ...
Application18- DNNs in a Few BioMedical Tasks
Presenter Papers Paper URL Our Slides Arshdeep DeepLesion: automated mining of large-scale lesio...
program
GNN for Program Analysis
Presenter Papers Paper URL Our Slides Program Neural network-based graph embedding for cross-pla...
Generative18 -A few more deep discrete Generative Models
Presenter Papers Paper URL Our Slides Arshdeep The Concrete Distribution: A Continuous Relaxatio...
EHR
Application18- DNN for QA and MedQA
Presenter Papers Paper URL Our Slides Bill Seq2SQL: Generating Structured Queries from Natural L...
Reliable18- Adversarial Attacks and DNN
Presenter Papers Paper URL Our Slides Jennifer Adversarial Attacks Against Medical Deep Learning...
matching
Geometric Deep Learning
Presenter Papers Paper URL Our Slides spherical Spherical CNNs Pdf Fuwen PDF + Arsh...
GNN Basics II - Deep Learning Advances on Graphs
Presenter Papers Paper URL Our Slides Matching Deep Learning of Graph Matching, PDF+ PDF ...
geometric
Geometric Deep Learning
Presenter Papers Paper URL Our Slides spherical Spherical CNNs Pdf Fuwen PDF + Arsh...
GNN for BioMed Applications
Presenter Papers Paper URL Our Slides Bio KDEEP: Protein–Ligand Absolute Binding Affinity Predic...
knowledge-graph
GNN to Understand
Presenter Papers Paper URL Our Slides Understand Faithful and Customizable Explanations of Black...
GNN for NLP QA
Presenter Papers Paper URL Our Slides QA A Comparison of Current Graph Database Models Pdf...
casual
Interpretable Deep Learning
Index Papers Our Slides 0 A survey on Interpreting Deep Learning Models Eli Survey ...
GNN to Understand
Presenter Papers Paper URL Our Slides Understand Faithful and Customizable Explanations of Black...
regularization
Trustworthy Deep Learning
Index Papers Our Slides 1 BIAS ALSO MATTERS: BIAS ATTRIBUTION FOR DEEP NEURAL NETWORK EXPLANATION ...
VAE
Latent and Generative Deep Learning
Index Papers Our Slides 1 Beta VAE, Ladder VAE, Causal VAE Arsh Survey 2 L...
adversarial-examples
Trustworthy Deep Learning
Index Papers Our Slides 1 BIAS ALSO MATTERS: BIAS ATTRIBUTION FOR DEEP NEURAL NETWORK EXPLANATION ...
Relational
Learning Relation from Data with Deep Learning
Index Papers Our Slides 1 A Flexible Generative Framework for Graph-based Semi-supervised Learning ...
Generalization
Meta Deep Learning
Index Papers Our Slides 1 Invariant Risk Minimization Zhe Survey 2 Causal ...
Deep Reinforcement Learning
Index Papers Our Slides 1 Actor-Critic Methods for Control Jake Survey 2 G...
Protein
DiffDock + ESMfold
Papers Paper URL Abstract Evolutionary-scale prediction of atomic level protein structure with a language mo...
A few applications of Deep Learning
Index Papers Our Slides 1 Protein 3D Structure Computed from Evolutionary Sequence Variation Ars...
Alignment
LLM fine tuning
In this session, our readings cover:
Survey human alignment
In this session, our readings cover:
Agent
MultiAgent LLMs
In this session, our readings cover:
LLM Agents
Required Readings:
text
Basic16- Basic DNN Reads we finished for NLP/Text
Presenter Papers Paper URL Our Slides NLP A Neural Probabilistic Language Model PDF ...
curriculum
Basic16- Basic DNN Reads we finished for NLP/Text
Presenter Papers Paper URL Our Slides NLP A Neural Probabilistic Language Model PDF ...
BackProp
Basic16- Basic DNN Reads we finished for NLP/Text
Presenter Papers Paper URL Our Slides NLP A Neural Probabilistic Language Model PDF ...
NTM
Basic16- Basic Deep NN with Memory
Presenter Papers Paper URL Our Slides seq2seq Sequence to Sequence Learning with Neural Networks...
pointer
Basic16- Basic Deep NN with Memory
Presenter Papers Paper URL Our Slides seq2seq Sequence to Sequence Learning with Neural Networks...
set
Basic16- Basic Deep NN with Memory
Presenter Papers Paper URL Our Slides seq2seq Sequence to Sequence Learning with Neural Networks...
meta-learning
Basic16- Basic Deep NN with Memory
Presenter Papers Paper URL Our Slides seq2seq Sequence to Sequence Learning with Neural Networks...
matching net
Basic16- Basic Deep NN with Memory
Presenter Papers Paper URL Our Slides seq2seq Sequence to Sequence Learning with Neural Networks...
hash
Basic16- DNN to be Scalable
Presenter Papers Paper URL Our Slides scalable Sanjiv Kumar (Columbia EECS 6898), Lecture: Intro...
compression
Basic16- DNN to be Scalable
Presenter Papers Paper URL Our Slides scalable Sanjiv Kumar (Columbia EECS 6898), Lecture: Intro...
distributed
Basic16- DNN to be Scalable
Presenter Papers Paper URL Our Slides scalable Sanjiv Kumar (Columbia EECS 6898), Lecture: Intro...
dimension reduction
Basic16- DNN to be Scalable
Presenter Papers Paper URL Our Slides scalable Sanjiv Kumar (Columbia EECS 6898), Lecture: Intro...
pruning
Basic16- DNN to be Scalable
Presenter Papers Paper URL Our Slides scalable Sanjiv Kumar (Columbia EECS 6898), Lecture: Intro...
sketch
Basic16- DNN to be Scalable
Presenter Papers Paper URL Our Slides scalable Sanjiv Kumar (Columbia EECS 6898), Lecture: Intro...
secure
Reliable17-Secure Machine Learning
Presenter Papers Paper URL Our Slides Tobin Summary of A few Papers on: Machine Learning and Cry...
Cryptography
Reliable17-Secure Machine Learning
Presenter Papers Paper URL Our Slides Tobin Summary of A few Papers on: Machine Learning and Cry...
EM
Optimization17- Optimization in DNN
Presenter Papers Paper URL Our Slides Muthu Optimization Methods for Large-Scale Machine Learnin...
propagation
Optimization17- Optimization in DNN
Presenter Papers Paper URL Our Slides Muthu Optimization Methods for Large-Scale Machine Learnin...
mimic
Optimization17- Optimization in DNN
Presenter Papers Paper URL Our Slides Muthu Optimization Methods for Large-Scale Machine Learnin...
Metamorphic
Reliable17-Testing and Machine Learning Basics
Presenter Papers Paper URL Our Slides GaoJi A few useful things to know about machine learning ...
Influence Functions
Reliable17-Testing and Machine Learning Basics
Presenter Papers Paper URL Our Slides GaoJi A few useful things to know about machine learning ...
bias-variance
Basic17 -Andrew Ng - Nuts and Bolts of Applying Deep Learning
Presenter Papers Paper URL Our Slides NIPS16 Andrew Ng - Nuts and Bolts of Applying Deep Learnin...
neuroscience
Theoretical17 II - Ganguli - Theoretical Neuroscience and Deep Learning DLSS16
Ganguli - Theoretical Neuroscience and Deep Learning
Parsimonious
Theoretical17 IV - Investigating Behaviors of DNN
Presenter Papers Paper URL Our Slides Beilun Learning Deep Parsimonious Representations, NIPS16 ...
Associative
Theoretical17 IV - Investigating Behaviors of DNN
Presenter Papers Paper URL Our Slides Beilun Learning Deep Parsimonious Representations, NIPS16 ...
Memorization
Theoretical17 V - More about Behaviors of DNN
Presenter Papers Paper URL Our Slides Ceyer A Closer Look at Memorization in Deep Networks, ICML...
InfoMax
Theoretical17 V - More about Behaviors of DNN
Presenter Papers Paper URL Our Slides Ceyer A Closer Look at Memorization in Deep Networks, ICML...
dialog
Structure I - Varying DNN structures
Presenter Papers Paper URL Our Slides Jack Learning End-to-End Goal-Oriented Dialog, ICLR17 1 ...
blocking
Structure II - DNN with Varying Structures
Presenter Papers Paper URL Our Slides Shijia Outrageously Large Neural Networks: The Sparsely-Ga...
Infomax
Structure IV - DNN with Attention 2
Presenter Papers Paper URL Our Slides Jack Attend, Adapt and Transfer: Attentive Deep Architectu...
Domain-adaptation
Reliable Applications II - Data privacy
Presenter Papers Paper URL Our Slides Xueying Semi-supervised Knowledge Transfer for Deep Learni...
Neural-Programming
Reliable Applications III - Interesting Tasks
Presenter Papers Paper URL Our Slides Jack Learning to Query, Reason, and Answer Questions On Am...
high-dimensional
Reliable Applications IV - Robustness
Presenter Papers Paper URL Our Slides GaoJi Delving into Transferable Adversarial Examples and B...
Curriculum
Optimization I - Understanding DNN Optimization
Presenter Papers Paper URL Our Slides Ceyer An overview of gradient optimization algorithms, 1 ...
Differentiation
Optimization I - Understanding DNN Optimization
Presenter Papers Paper URL Our Slides Ceyer An overview of gradient optimization algorithms, 1 ...
Forcing
Optimization IV - change DNN architecture for Optimization
Presenter Papers Paper URL Our Slides Shijia Professor Forcing: A New Algorithm for Training Rec...
Autoregressive
Generative II - Deep Generative Models
Presenter Papers Paper URL Our Slides ChaoJiang Courville - Generative Models II DLSS17Sli...
Denoising
Generative III - GAN training
Presenter Papers Paper URL Our Slides Arshdeep Generalization and Equilibrium in Generative Adve...
alphaGO
RL III - Basic tutorial RLSS17 (2)
Presenter Papers Paper URL Our Slides Anant The Predictron: End-to-End Learning and Planning, IC...
Planning
RL III - Basic tutorial RLSS17 (2)
Presenter Papers Paper URL Our Slides Anant The Predictron: End-to-End Learning and Planning, IC...
Temporal-Difference
RL III - Basic tutorial RLSS17 (2)
Presenter Papers Paper URL Our Slides Anant The Predictron: End-to-End Learning and Planning, IC...
Auxiliary
RL IV - RL with varying structures
Presenter Papers Paper URL Our Slides Ceyer Reinforcement Learning with Unsupervised Auxiliary T...
Sampling
RL IV - RL with varying structures
Presenter Papers Paper URL Our Slides Ceyer Reinforcement Learning with Unsupervised Auxiliary T...
Value-Networks
RL IV - RL with varying structures
Presenter Papers Paper URL Our Slides Ceyer Reinforcement Learning with Unsupervised Auxiliary T...
Imitation-Learning
RL IV - RL with varying structures
Presenter Papers Paper URL Our Slides Ceyer Reinforcement Learning with Unsupervised Auxiliary T...
multi-label
Structures18- DNN for Multiple Label Classification
Presenter Papers Paper URL Our Slides Chao Maximizing Subset Accuracy with Recurrent Neural Netw...
Adversarial-loss
Structures18- DNN for Multiple Label Classification
Presenter Papers Paper URL Our Slides Chao Maximizing Subset Accuracy with Recurrent Neural Netw...
Fuzzing
Reliable18- Testing and Verifying DNNs
Presenter Papers Paper URL Our Slides GaoJi Deep Reinforcement Fuzzing, Konstantin Böttinger, Pa...
Amortized
Generative18 -A few more deep discrete Generative Models
Presenter Papers Paper URL Our Slides Arshdeep The Concrete Distribution: A Continuous Relaxatio...
trees
Application18- A few DNN for Question Answering
Presenter Papers Paper URL Our Slides Derrick GloVe: Global Vectors for Word Representation ...
interpretable
Reliable18- Understand DNNs
Presenter Papers Paper URL Our Slides Jack A Unified Approach to Interpreting Model Predictions ...
CRISPR
Application18- DNNs in a Few Bio CRISPR Tasks
Presenter Papers Paper URL Our Slides Arshdeep deepCRISPR: optimized CRISPR guide RNA design by ...
distillation
Reliable18- Adversarial Attacks and DNN
Presenter Papers Paper URL Our Slides Bill Adversarial Examples that Fool both Computer Vision a...
heterogeneous
GNN for Program Analysis
Presenter Papers Paper URL Our Slides Program Neural network-based graph embedding for cross-pla...
manifold
Geometric Deep Learning
Presenter Papers Paper URL Our Slides spherical Spherical CNNs Pdf Fuwen PDF + Arsh...
Beam
GNN for Graph Generation
Presenter Papers Paper URL Our Slides Generate Maximum-Likelihood Augmented Discrete Generative ...
imputation
GNN for Graph Generation
Presenter Papers Paper URL Our Slides Generate Maximum-Likelihood Augmented Discrete Generative ...
Matrix-Completion
GNN for Graph Generation
Presenter Papers Paper URL Our Slides Generate Maximum-Likelihood Augmented Discrete Generative ...
Distributed
GNN and scalable
Presenter Papers Paper URL Our Slides Scalable FastGCN: Fast Learning with Graph Convolutional N...
mobile
Edge and Dynamic computing
Presenter Papers Paper URL Our Slides Edge MobileNets: Efficient Convolutional Neural Networks f...
stylometric
GNN for NLP QA
Presenter Papers Paper URL Our Slides QA A Comparison of Current Graph Database Models Pdf...
binarization
Back to Top ↑small-data
Back to Top ↑Quantization
Back to Top ↑Transfer
Back to Top ↑Multi-task
Back to Top ↑encoder-decoder
Back to Top ↑submodular
Back to Top ↑safety
Back to Top ↑model-as-sample
Back to Top ↑privacy
Back to Top ↑CNN
Back to Top ↑loss
Back to Top ↑analysis
Back to Top ↑forgetting
Back to Top ↑training
Back to Top ↑subspace
Back to Top ↑informax
Back to Top ↑normalization
Back to Top ↑Sample-selection
Back to Top ↑Graph
Learning Relation from Data with Deep Learning
Index Papers Our Slides 1 A Flexible Generative Framework for Graph-based Semi-supervised Learning ...
Casual
Learning Relation from Data with Deep Learning
Index Papers Our Slides 1 A Flexible Generative Framework for Graph-based Semi-supervised Learning ...
Markov
Learning Relation from Data with Deep Learning
Index Papers Our Slides 1 A Flexible Generative Framework for Graph-based Semi-supervised Learning ...
GCN
GNN and Transformer
Index Papers Our Slides 1 Graph Convolutions: More than You Wanted to Know Derrick Survey ...
graph attention
GNN and Transformer
Index Papers Our Slides 1 Graph Convolutions: More than You Wanted to Know Derrick Survey ...
Generative
Latent and Generative Deep Learning
Index Papers Our Slides 1 Beta VAE, Ladder VAE, Causal VAE Arsh Survey 2 L...
mutual-information
Optimization and New Loss in Deep Learning
Index Papers Our Slides 1 Review on Semi-Supervised Learning Zhe Survey 2 ...
Gene-network
A few applications of Deep Learning
Index Papers Our Slides 1 Protein 3D Structure Computed from Evolutionary Sequence Variation Ars...
Chromatin
A few applications of Deep Learning
Index Papers Our Slides 1 Protein 3D Structure Computed from Evolutionary Sequence Variation Ars...
language processing
A few applications of Deep Learning
Index Papers Our Slides 1 Protein 3D Structure Computed from Evolutionary Sequence Variation Ars...
bias
Trustworthy Deep Learning
Index Papers Our Slides 1 BIAS ALSO MATTERS: BIAS ATTRIBUTION FOR DEEP NEURAL NETWORK EXPLANATION ...
data valuation
Trustworthy Deep Learning
Index Papers Our Slides 1 BIAS ALSO MATTERS: BIAS ATTRIBUTION FOR DEEP NEURAL NETWORK EXPLANATION ...
shapley
Interpretable Deep Learning
Index Papers Our Slides 0 A survey on Interpreting Deep Learning Models Eli Survey ...
concept
Interpretable Deep Learning
Index Papers Our Slides 0 A survey on Interpreting Deep Learning Models Eli Survey ...
Diffusion
Stable diffusion + DreamBooth + LoRA
Stable diffusion URL “High-Resolution Image Synthesis with Latent Diffusion Models”
Image synthesis
Stable diffusion + DreamBooth + LoRA
Stable diffusion URL “High-Resolution Image Synthesis with Latent Diffusion Models”
Human Alignment
RLHF + InstructGPT
Papers Paper URL Abstract Training language models to follow instructions with human feedback URL ...
Bias
FM fairness / bias issues
In this session, our readings cover:
RAG
Knowledge Augmented FMs
In this session, our readings cover:
Hallucination
LLM Hallucination
In this session, our readings cover:
DomainAdapt
Domain Centered FMs
In this session, our readings cover:
ModelEdit
Model editing and Disgorgement
In this session, our readings cover:
Interpretibility
LLM interpretibility, trust and knowledge conflicts
Required Readings:
Prompting
Prompt Engineering
In this session, our readings cover:
Reasoning
Self-exam LLM and reasoning
In this session, our readings cover: