Interpretable Deep Learning
Index Papers Our Slides 0 A survey on Interpreting Deep Learning Models Eli Survey ...
Index Papers Our Slides 0 A survey on Interpreting Deep Learning Models Eli Survey ...
Index Papers Our Slides 1 BIAS ALSO MATTERS: BIAS ATTRIBUTION FOR DEEP NEURAL NETWORK EXPLANATION ...
Presenter Papers Paper URL Our Slides Understand Faithful and Customizable Explanations of Black...
Presenter Papers Paper URL Our Slides Robust Adversarial Attacks on Graph Structured Data ...
Presenter Papers Paper URL Our Slides Jennifer Adversarial Attacks Against Medical Deep Learning...
Presenter Papers Paper URL Our Slides Bill Adversarial Examples that Fool both Computer Vision a...
Presenter Papers Paper URL Our Slides Jack A Unified Approach to Interpreting Model Predictions ...
Presenter Papers Paper URL Our Slides Arshdeep DeepLesion: automated mining of large-scale lesio...
Presenter Papers Paper URL Our Slides GaoJi Deep Reinforcement Fuzzing, Konstantin Böttinger, Pa...
Presenter Papers Paper URL Our Slides Bill Seq2Sick: Evaluating the Robustness of Sequence-to-Se...
Presenter Papers Paper URL Our Slides Bill Intriguing Properties of Adversarial Examples, Ekin D...
Presenter Papers Paper URL Our Slides Bill Google’s Neural Machine Translation System: Bridging ...
Presenter Papers Paper URL Our Slides Tianlu Robustness of classifiers: from adversarial to rand...
Presenter Papers Paper URL Our Slides GaoJi Delving into Transferable Adversarial Examples and B...
Presenter Papers Paper URL Our Slides Jack Learning to Query, Reason, and Answer Questions On Am...
Presenter Papers Paper URL Our Slides Xueying Semi-supervised Knowledge Transfer for Deep Learni...
Presenter Papers Paper URL Our Slides Rita Visualizing Deep Neural Network Decisions: Prediction...
Presenter Papers Paper URL Our Slides Rita Learning Important Features Through Propagating Activ...
Presenter Papers Paper URL Our Slides GaoJi A few useful things to know about machine learning ...
Presenter Papers Paper URL Our Slides Tobin Summary of A few Papers on: Machine Learning and Cry...
Presenter Papers Paper URL Our Slides AE Intriguing properties of neural networks / PDF ...
Presenter Papers Paper URL Our Slides spherical Spherical CNNs Pdf Fuwen PDF + Arsh...
Presenter Papers Paper URL Our Slides Bill Seq2SQL: Generating Structured Queries from Natural L...
Presenter Papers Paper URL Our Slides Arshdeep Learning Transferable Architectures for Scalable ...
Presenter Papers Paper URL Our Slides Arshdeep Relational inductive biases, deep learning, and g...
Presenter Papers Paper URL Our Slides Derrick GloVe: Global Vectors for Word Representation ...
Presenter Papers Paper URL Our Slides Chao Maximizing Subset Accuracy with Recurrent Neural Netw...
Presenter Papers Paper URL Our Slides Arshdeep Show, Attend and Tell: Neural Image Caption Gener...
Presenter Papers Paper URL Our Slides Anant AdaNet: Adaptive Structural Learning of Artificial N...
Presenter Papers Paper URL Our Slides Tianlu Ask Me Anything: Dynamic Memory Networks for Natura...
Presenter Papers Paper URL Our Slides Jack Attend, Adapt and Transfer: Attentive Deep Architectu...
Presenter Papers Paper URL Our Slides Rita Paying More Attention to Attention: Improving the Per...
Presenter Papers Paper URL Our Slides Shijia Outrageously Large Neural Networks: The Sparsely-Ga...
Presenter Papers Paper URL Our Slides Jack Learning End-to-End Goal-Oriented Dialog, ICLR17 1 ...
Presenter Papers Paper URL Our Slides Arshdeep Image Question Answering using Convolutional Neur...
Presenter Papers Paper URL Our Slides Arshdeep HyperNetworks, David Ha, Andrew Dai, Quoc V. Le I...
Presenter Papers Paper URL Our Slides scalable Sanjiv Kumar (Columbia EECS 6898), Lecture: Intro...
Presenter Papers Paper URL Our Slides seq2seq Sequence to Sequence Learning with Neural Networks...
Presenter Papers Paper URL Our Slides NLP A Neural Probabilistic Language Model PDF ...
Presenter Papers Paper URL Our Slides QA Learning to rank with (a lot of) word features PD...
Index Papers Our Slides 1 Graph Convolutions: More than You Wanted to Know Derrick Survey ...
Index Papers Our Slides 1 A Flexible Generative Framework for Graph-based Semi-supervised Learning ...
Presenter Papers Paper URL Our Slides Understand Faithful and Customizable Explanations of Black...
Presenter Papers Paper URL Our Slides QA A Comparison of Current Graph Database Models Pdf...
Presenter Papers Paper URL Our Slides Edge MobileNets: Efficient Convolutional Neural Networks f...
Presenter Papers Paper URL Our Slides Scalable FastGCN: Fast Learning with Graph Convolutional N...
Presenter Papers Paper URL Our Slides Generate Maximum-Likelihood Augmented Discrete Generative ...
Presenter Papers Paper URL Our Slides Robust Adversarial Attacks on Graph Structured Data ...
Presenter Papers Paper URL Our Slides spherical Spherical CNNs Pdf Fuwen PDF + Arsh...
Presenter Papers Paper URL Our Slides Program Neural network-based graph embedding for cross-pla...
Presenter Papers Paper URL Our Slides Bio KDEEP: Protein–Ligand Absolute Binding Affinity Predic...
Presenter Papers Paper URL Our Slides Matching Deep Learning of Graph Matching, PDF+ PDF ...
Presenter Papers Paper URL Our Notes Basics GraphSAGE: Large-scale Graph Representation Learning...
Presenter Papers Paper URL Our Slides Tkach Boundary-Seeking Generative Adversarial Networks ...
Presenter Papers Paper URL Our Slides Arshdeep Constrained Graph Variational Autoencoders for Mo...
Presenter Papers Paper URL Our Slides Eric Modeling polypharmacy side effects with graph convolu...
Presenter Papers Paper URL Our Slides Arshdeep Relational inductive biases, deep learning, and g...
Presenter Papers Paper URL Our Slides Chao Maximizing Subset Accuracy with Recurrent Neural Netw...
Papers Paper URL Abstract Evolutionary-scale prediction of atomic level protein structure with a language mo...
Index Papers Our Slides 1 Protein 3D Structure Computed from Evolutionary Sequence Variation Ars...
Presenter Papers Paper URL Our Slides QA A Comparison of Current Graph Database Models Pdf...
Presenter Papers Paper URL Our Slides Program Neural network-based graph embedding for cross-pla...
Presenter Papers Paper URL Our Slides Bio KDEEP: Protein–Ligand Absolute Binding Affinity Predic...
Presenter Papers Paper URL Our Slides Bill Seq2SQL: Generating Structured Queries from Natural L...
Presenter Papers Paper URL Our Slides Eric Modeling polypharmacy side effects with graph convolu...
Presenter Papers Paper URL Our Slides Arshdeep deepCRISPR: optimized CRISPR guide RNA design by ...
Presenter Papers Paper URL Our Slides Dr. Qi Making Deep Learning Understandable for Analyzing S...
Presenter Papers Paper URL Our Slides Derrick GloVe: Global Vectors for Word Representation ...
Presenter Papers Paper URL Our Slides Arshdeep The Concrete Distribution: A Continuous Relaxatio...
Presenter Papers Paper URL Our Slides Arshdeep DeepLesion: automated mining of large-scale lesio...
Presenter Papers Paper URL Our Slides Bill Seq2Sick: Evaluating the Robustness of Sequence-to-Se...
Presenter Papers Paper URL Our Slides Bill Intriguing Properties of Adversarial Examples, Ekin D...
Presenter Papers Paper URL Our Slides DeepBind Predicting the sequence specificities of DNA- and...
Presenter Papers Paper URL Our Slides NLP A Neural Probabilistic Language Model PDF ...
Presenter Papers Paper URL Our Slides QA Learning to rank with (a lot of) word features PD...
Index Papers Our Slides 1 Graph Convolutions: More than You Wanted to Know Derrick Survey ...
Presenter Papers Paper URL Our Slides Edge MobileNets: Efficient Convolutional Neural Networks f...
Presenter Papers Paper URL Our Slides Scalable FastGCN: Fast Learning with Graph Convolutional N...
Presenter Papers Paper URL Our Notes Basics GraphSAGE: Large-scale Graph Representation Learning...
Presenter Papers Paper URL Our Slides Arshdeep Learning Transferable Architectures for Scalable ...
Presenter Papers Paper URL Our Slides Derrick GloVe: Global Vectors for Word Representation ...
Presenter Papers Paper URL Our Slides Anant AdaNet: Adaptive Structural Learning of Artificial N...
Presenter Papers Paper URL Our Slides Shijia Outrageously Large Neural Networks: The Sparsely-Ga...
Presenter Papers Paper URL Our Slides Jack Learning End-to-End Goal-Oriented Dialog, ICLR17 1 ...
Presenter Papers Paper URL Our Slides Arshdeep Image Question Answering using Convolutional Neur...
Presenter Papers Paper URL Our Slides Arshdeep HyperNetworks, David Ha, Andrew Dai, Quoc V. Le I...
Presenter Papers Paper URL Our Slides scalable Sanjiv Kumar (Columbia EECS 6898), Lecture: Intro...
Type Papers Paper URL Our Slides Dr Qi Survey of 10 DeepLearning (DL) trends different from clas...
Presenter Papers Paper URL Our Slides Dr Qi Survey of Recent DeepLearning to 12 Groups / PDF ...
Presenter Papers Paper URL Our Notes Basics GraphSAGE: Large-scale Graph Representation Learning...
Presenter Papers Paper URL Our Slides Dr. Qi A quick and rough survey of Deep-Neural-Networks ...
Presenter Papers Paper URL Our Slides NIPS 2016 ganerative adversarial network tutorial (NIPS 20...
Pineau - RL Basic Concepts
Presenter Papers Paper URL Our Slides NIPS16 Andrew Ng - Nuts and Bolts of Applying Deep Learnin...
Presenter Papers Paper URL Our Slides scalable Sanjiv Kumar (Columbia EECS 6898), Lecture: Intro...
Presenter Papers Paper URL Our Slides AE Intriguing properties of neural networks / PDF ...
Presenter Papers Paper URL Our Slides seq2seq Sequence to Sequence Learning with Neural Networks...
Presenter Papers Paper URL Our Slides NLP A Neural Probabilistic Language Model PDF ...
Presenter Papers Paper URL Our Slides QA Learning to rank with (a lot of) word features PD...
Index Papers Our Slides 1 Beta VAE, Ladder VAE, Causal VAE Arsh Survey 2 L...
Presenter Papers Paper URL Our Slides QA A Comparison of Current Graph Database Models Pdf...
Presenter Papers Paper URL Our Slides Generate Maximum-Likelihood Augmented Discrete Generative ...
Presenter Papers Paper URL Our Slides Tkach Boundary-Seeking Generative Adversarial Networks ...
Presenter Papers Paper URL Our Slides Arshdeep Constrained Graph Variational Autoencoders for Mo...
Presenter Papers Paper URL Our Slides Arshdeep The Concrete Distribution: A Continuous Relaxatio...
Presenter Papers Paper URL Our Slides BrandonLiu Summary of Recent Generative Adversarial Networ...
Presenter Papers Paper URL Our Slides Arshdeep Generalization and Equilibrium in Generative Adve...
Presenter Papers Paper URL Our Slides ChaoJiang Courville - Generative Models II DLSS17Sli...
Presenter Papers Paper URL Our Slides NIPS 2016 ganerative adversarial network tutorial (NIPS 20...
Presenter Papers Paper URL Our Slides Tobin Energy-Based Generative Adversarial Network 1 ...
Papers Paper URL Abstract Training language models to follow instructions with human feedback URL ...
Decision Transformer: Reinforcement Learning via Sequence Modeling Lili Chen, Kevin Lu, Aravind Rajeswaran, Kimin Lee, Aditya Grover, Michael Laskin, Piet...
Papers Paper URL Abstract
Index Papers Our Slides 1 Actor-Critic Methods for Control Jake Survey 2 G...
Presenter Papers Paper URL Our Slides Arshdeep DeepLesion: automated mining of large-scale lesio...
Presenter Papers Paper URL Our Slides GaoJi Deep Reinforcement Fuzzing, Konstantin Böttinger, Pa...
Presenter Papers Paper URL Our Slides Ceyer Reinforcement Learning with Unsupervised Auxiliary T...
Presenter Papers Paper URL Our Slides Anant The Predictron: End-to-End Learning and Planning, IC...
Presenter Papers Paper URL Our Slides Jack Hasselt - Deep Reinforcement Learning RLSS17.pd...
Pineau - RL Basic Concepts
The WMDP Benchmark: Measuring and Reducing Malicious Use With Unlearning Nathaniel Li, Alexander Pan, Anjali Gopal, Summer Yue, Daniel Berrios, Alice Gatt...
Required Readings:
In this session, our readings cover:
In this session, our readings cover:
In this session, our readings cover:
In this session, our readings cover:
In this session, our readings cover:
In this session, our readings cover:
In this session, our readings cover:
In this session, our readings cover:
In this session, our readings cover:
In this session, our readings cover:
In this session, our readings cover:
In this session, our readings cover:
Required Readings:
Readings:
Papers Paper URL Abstract Training language models to follow instructions with human feedback URL ...
Stable diffusion URL “High-Resolution Image Synthesis with Latent Diffusion Models”
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...
In this session, our readings cover:
In this session, our readings cover:
Required Readings:
In this session, our readings cover:
In this session, our readings cover:
In this session, our readings cover:
In this session, our readings cover:
In this session, our readings cover:
Index Papers Our Slides 1 Review on Semi-Supervised Learning Zhe Survey 2 ...
Presenter Papers Paper URL Our Slides Shijia Professor Forcing: A New Algorithm for Training Rec...
Presenter Papers Paper URL Our Slides GaoJi Forward and Reverse Gradient-Based Hyperparameter Op...
Presenter Papers Paper URL Our Slides GaoJi Neural Architecture Search with Reinforcement Learni...
Presenter Papers Paper URL Our Slides Ceyer An overview of gradient optimization algorithms, 1 ...
Presenter Papers Paper URL Our Slides Muthu Optimization Methods for Large-Scale Machine Learnin...
Presenter Papers Paper URL Our Slides SE Equivariance Through Parameter-Sharing, ICML17 1 ...
Presenter Papers Paper URL Our Slides Ceyer A Closer Look at Memorization in Deep Networks, ICML...
Presenter Papers Paper URL Our Slides Beilun Learning Deep Parsimonious Representations, NIPS16 ...
Presenter Papers Paper URL Our Slides Rita On the Expressive Power of Deep Neural Networks 1 ...
Ganguli - Theoretical Neuroscience and Deep Learning
Index Papers Our Slides 1 Invariant Risk Minimization Zhe Survey 2 Causal ...
Presenter Papers Paper URL Our Slides Arshdeep Learning Transferable Architectures for Scalable ...
Presenter Papers Paper URL Our Slides seq2seq Sequence to Sequence Learning with Neural Networks...
KV Caching in LLM:
In this session, our readings cover:
In this session, our readings cover:
In this session, our readings cover:
In this session, our readings cover:
Stable diffusion URL “High-Resolution Image Synthesis with Latent Diffusion Models”
Papers Paper URL Abstract Evolutionary-scale prediction of atomic level protein structure with a language mo...