| 51 |
Generative Moment Matching Networks
Yujia Li, Kevin Swersky, Richard Zemel
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cs.LG
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899 |
11 years ago |
| 52 |
Actor-Attention-Critic for Multi-Agent Reinforcement Learning
Shariq Iqbal, Fei Sha
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cs.LG
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896 |
7 years ago |
| 53 |
Compressed Sensing using Generative Models
Ashish Bora, Ajil Jalal, ... (+2 more)
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stat.ML
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893 |
9 years ago |
| 54 |
Parallel WaveNet: Fast High-Fidelity Speech Synthesis
Aaron van den Oord, Yazhe Li, ... (+20 more)
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cs.LG
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893 |
8 years ago |
| 55 |
Gated Feedback Recurrent Neural Networks
Junyoung Chung, Caglar Gulcehre, ... (+2 more)
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cs.NE
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884 |
11 years ago |
| 56 |
Preventing Fairness Gerrymandering: Auditing and Learning for Subgroup Fairness
Michael Kearns, Seth Neel, ... (+2 more)
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cs.LG
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866 |
8 years ago |
| 57 |
On the Expressive Power of Deep Neural Networks
Maithra Raghu, Ben Poole, ... (+3 more)
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stat.ML
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859 |
10 years ago |
| 58 |
A Theoretical Analysis of Contrastive Unsupervised Representation Learning
Sanjeev Arora, Hrishikesh Khandeparkar, ... (+3 more)
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cs.LG
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859 |
7 years ago |
| 59 |
Parseval Networks: Improving Robustness to Adversarial Examples
Moustapha Cisse, Piotr Bojanowski, ... (+3 more)
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stat.ML
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857 |
9 years ago |
| 60 |
Adversarial Attack on Graph Structured Data
Hanjun Dai, Hui Li, ... (+5 more)
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cs.LG
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854 |
8 years ago |
| 61 |
Online Tracking by Learning Discriminative Saliency Map with Convolutional Neural Network
Seunghoon Hong, Tackgeun You, ... (+2 more)
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cs.CV
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849 |
11 years ago |
| 62 |
Sharp Minima Can Generalize For Deep Nets
Laurent Dinh, Razvan Pascanu, ... (+2 more)
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cs.LG
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848 |
9 years ago |
| 63 |
Fixed Point Quantization of Deep Convolutional Networks
Darryl D. Lin, Sachin S. Talathi, V. Sreekanth Annapureddy
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Ghosted
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cs.LG
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847 |
10 years ago |
| 64 |
Unitary Evolution Recurrent Neural Networks
Martin Arjovsky, Amar Shah, Yoshua Bengio
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👻
Ghosted
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cs.LG
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847 |
10 years ago |
| 65 |
Minimax Regret Bounds for Reinforcement Learning
Mohammad Gheshlaghi Azar, Ian Osband, Rémi Munos
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Ghosted
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stat.ML
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843 |
9 years ago |
| 66 |
PDE-Net: Learning PDEs from Data
Zichao Long, Yiping Lu, ... (+2 more)
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math.NA
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832 |
8 years ago |
| 67 |
From Softmax to Sparsemax: A Sparse Model of Attention and Multi-Label Classification
André F. T. Martins, Ramón Fernandez Astudillo
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👻
Ghosted
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cs.CL
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813 |
10 years ago |
| 68 |
Learning Representations for Counterfactual Inference
Fredrik D. Johansson, Uri Shalit, David Sontag
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stat.ML
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795 |
10 years ago |
| 69 |
Recommendations as Treatments: Debiasing Learning and Evaluation
Tobias Schnabel, Adith Swaminathan, ... (+3 more)
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cs.LG
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779 |
10 years ago |
| 70 |
Dynamic Memory Networks for Visual and Textual Question Answering
Caiming Xiong, Stephen Merity, Richard Socher
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👻
Ghosted
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cs.NE
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765 |
10 years ago |
| 71 |
The many Shapley values for model explanation
Mukund Sundararajan, Amir Najmi
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cs.AI
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762 |
6 years ago |
| 72 |
Input Convex Neural Networks
Brandon Amos, Lei Xu, J. Zico Kolter
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👻
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cs.LG
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761 |
9 years ago |
| 73 |
Efficient Off-Policy Meta-Reinforcement Learning via Probabilistic Context Variables
Kate Rakelly, Aurick Zhou, ... (+3 more)
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cs.LG
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759 |
7 years ago |
| 74 |
Discriminative Embeddings of Latent Variable Models for Structured Data
Hanjun Dai, Bo Dai, Le Song
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👻
Ghosted
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cs.LG
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748 |
10 years ago |
| 75 |
Towards Fast Computation of Certified Robustness for ReLU Networks
Tsui-Wei Weng, Huan Zhang, ... (+6 more)
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stat.ML
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735 |
8 years ago |
| 76 |
Quantifying Generalization in Reinforcement Learning
Karl Cobbe, Oleg Klimov, ... (+3 more)
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cs.LG
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733 |
7 years ago |
| 77 |
Linear Mode Connectivity and the Lottery Ticket Hypothesis
Jonathan Frankle, Gintare Karolina Dziugaite, ... (+2 more)
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cs.LG
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721 |
6 years ago |
| 78 |
Generalization and Equilibrium in Generative Adversarial Nets (GANs)
Sanjeev Arora, Rong Ge, ... (+3 more)
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cs.LG
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713 |
9 years ago |
| 79 |
SARAH: A Novel Method for Machine Learning Problems Using Stochastic Recursive Gradient
Lam M. Nguyen, Jie Liu, ... (+2 more)
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stat.ML
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685 |
9 years ago |
| 80 |
Invertible Residual Networks
Jens Behrmann, Will Grathwohl, ... (+3 more)
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cs.LG
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685 |
7 years ago |
| 81 |
Doubly Robust Off-policy Value Evaluation for Reinforcement Learning
Nan Jiang, Lihong Li
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👻
Ghosted
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cs.LG
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682 |
10 years ago |
| 82 |
Simple Black-box Adversarial Attacks
Chuan Guo, Jacob R. Gardner, ... (+3 more)
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cs.LG
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676 |
7 years ago |
| 83 |
Count-Based Exploration with Neural Density Models
Georg Ostrovski, Marc G. Bellemare, ... (+2 more)
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cs.AI
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668 |
9 years ago |
| 84 |
Mean Field Multi-Agent Reinforcement Learning
Yaodong Yang, Rui Luo, ... (+4 more)
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cs.MA
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660 |
8 years ago |
| 85 |
Neural Variational Inference for Text Processing
Yishu Miao, Lei Yu, Phil Blunsom
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👻
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cs.CL
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659 |
10 years ago |
| 86 |
Fully Decentralized Multi-Agent Reinforcement Learning with Networked Agents
Kaiqing Zhang, Zhuoran Yang, ... (+3 more)
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cs.LG
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654 |
8 years ago |
| 87 |
Leveraging Procedural Generation to Benchmark Reinforcement Learning
Karl Cobbe, Christopher Hesse, ... (+2 more)
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cs.LG
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654 |
6 years ago |
| 88 |
Stabilising Experience Replay for Deep Multi-Agent Reinforcement Learning
Jakob Foerster, Nantas Nardelli, ... (+5 more)
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cs.AI
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650 |
9 years ago |
| 89 |
Deep Voice: Real-time Neural Text-to-Speech
Sercan O. Arik, Mike Chrzanowski, ... (+10 more)
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cs.CL
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647 |
9 years ago |
| 90 |
Graph networks as learnable physics engines for inference and control
Alvaro Sanchez-Gonzalez, Nicolas Heess, ... (+5 more)
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cs.LG
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642 |
8 years ago |
| 91 |
Adversarial Risk and the Dangers of Evaluating Against Weak Attacks
Jonathan Uesato, Brendan O'Donoghue, ... (+2 more)
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cs.LG
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640 |
8 years ago |
| 92 |
Stochastic Variance Reduction for Nonconvex Optimization
Sashank J. Reddi, Ahmed Hefny, ... (+3 more)
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math.OC
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639 |
10 years ago |
| 93 |
Learning to Explain: An Information-Theoretic Perspective on Model Interpretation
Jianbo Chen, Le Song, ... (+2 more)
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cs.LG
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637 |
8 years ago |
| 94 |
Data-Efficient Off-Policy Policy Evaluation for Reinforcement Learning
Philip S. Thomas, Emma Brunskill
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Ghosted
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cs.LG
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615 |
10 years ago |
| 95 |
Diffusion Models for Adversarial Purification
Weili Nie, Brandon Guo, ... (+4 more)
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cs.LG
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609 |
4 years ago |
| 96 |
Asymmetric Tri-training for Unsupervised Domain Adaptation
Kuniaki Saito, Yoshitaka Ushiku, Tatsuya Harada
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👻
Ghosted
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cs.CV
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606 |
9 years ago |
| 97 |
A Unified Theory of Decentralized SGD with Changing Topology and Local Updates
Anastasia Koloskova, Nicolas Loizou, ... (+3 more)
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cs.LG
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606 |
6 years ago |
| 98 |
Label-Only Membership Inference Attacks
Christopher A. Choquette-Choo, Florian Tramer, ... (+2 more)
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cs.CR
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604 |
5 years ago |
| 99 |
Automated Curriculum Learning for Neural Networks
Alex Graves, Marc G. Bellemare, ... (+3 more)
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cs.NE
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600 |
9 years ago |
| 100 |
Certified Data Removal from Machine Learning Models
Chuan Guo, Tom Goldstein, ... (+2 more)
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cs.LG
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597 |
6 years ago |