| 51 |
Training Confidence-calibrated Classifiers for Detecting Out-of-Distribution Samples
Kimin Lee, Honglak Lee, ... (+2 more)
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stat.ML
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8 years ago |
| 52 |
Certifying Some Distributional Robustness with Principled Adversarial Training
Aman Sinha, Hongseok Namkoong, ... (+2 more)
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stat.ML
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8 years ago |
| 53 |
What do you learn from context? Probing for sentence structure in contextualized word representations
Ian Tenney, Patrick Xia, ... (+9 more)
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cs.CL
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925 |
7 years ago |
| 54 |
Adversarial Attacks on Neural Network Policies
Sandy Huang, Nicolas Papernot, ... (+3 more)
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cs.LG
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916 |
9 years ago |
| 55 |
Learning to Learn without Forgetting by Maximizing Transfer and Minimizing Interference
Matthew Riemer, Ignacio Cases, ... (+5 more)
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cs.LG
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883 |
7 years ago |
| 56 |
Non-Autoregressive Neural Machine Translation
Jiatao Gu, James Bradbury, ... (+3 more)
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cs.CL
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875 |
8 years ago |
| 57 |
Learning to Represent Programs with Graphs
Miltiadis Allamanis, Marc Brockschmidt, Mahmoud Khademi
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cs.LG
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874 |
8 years ago |
| 58 |
How to train your MAML
Antreas Antoniou, Harrison Edwards, Amos Storkey
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cs.LG
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862 |
7 years ago |
| 59 |
Self-labelling via simultaneous clustering and representation learning
Yuki Markus Asano, Christian Rupprecht, Andrea Vedaldi
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cs.CV
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858 |
6 years ago |
| 60 |
Entropy-SGD: Biasing Gradient Descent Into Wide Valleys
Pratik Chaudhari, Anna Choromanska, ... (+7 more)
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cs.LG
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847 |
9 years ago |
| 61 |
Do Deep Generative Models Know What They Don't Know?
Eric Nalisnick, Akihiro Matsukawa, ... (+3 more)
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stat.ML
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834 |
7 years ago |
| 62 |
Multi-task Sequence to Sequence Learning
Minh-Thang Luong, Quoc V. Le, ... (+3 more)
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cs.LG
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833 |
10 years ago |
| 63 |
PixelDefend: Leveraging Generative Models to Understand and Defend against Adversarial Examples
Yang Song, Taesup Kim, ... (+3 more)
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cs.LG
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827 |
8 years ago |
| 64 |
Learning Robust Rewards with Adversarial Inverse Reinforcement Learning
Justin Fu, Katie Luo, Sergey Levine
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cs.LG
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824 |
8 years ago |
| 65 |
Model compression via distillation and quantization
Antonio Polino, Razvan Pascanu, Dan Alistarh
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cs.NE
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809 |
8 years ago |
| 66 |
Unsupervised Neural Machine Translation
Mikel Artetxe, Gorka Labaka, ... (+2 more)
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cs.CL
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806 |
8 years ago |
| 67 |
Characterizing Adversarial Subspaces Using Local Intrinsic Dimensionality
Xingjun Ma, Bo Li, ... (+7 more)
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cs.LG
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804 |
8 years ago |
| 68 |
Sample Efficient Actor-Critic with Experience Replay
Ziyu Wang, Victor Bapst, ... (+5 more)
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cs.LG
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803 |
9 years ago |
| 69 |
Variational Continual Learning
Cuong V. Nguyen, Yingzhen Li, ... (+2 more)
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stat.ML
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788 |
8 years ago |
| 70 |
Synthetic and Natural Noise Both Break Neural Machine Translation
Yonatan Belinkov, Yonatan Bisk
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cs.CL
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786 |
8 years ago |
| 71 |
Reasoning about Entailment with Neural Attention
Tim Rocktäschel, Edward Grefenstette, ... (+3 more)
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cs.CL
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776 |
10 years ago |
| 72 |
Policy Distillation
Andrei A. Rusu, Sergio Gomez Colmenarejo, ... (+7 more)
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cs.LG
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771 |
10 years ago |
| 73 |
Unsupervised and Semi-supervised Learning with Categorical Generative Adversarial Networks
Jost Tobias Springenberg
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stat.ML
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771 |
10 years ago |
| 74 |
Delving Deeper into Convolutional Networks for Learning Video Representations
Nicolas Ballas, Li Yao, ... (+2 more)
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cs.CV
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764 |
10 years ago |
| 75 |
Large-Scale Study of Curiosity-Driven Learning
Yuri Burda, Harri Edwards, ... (+4 more)
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cs.LG
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748 |
7 years ago |
| 76 |
Large Language Models Cannot Self-Correct Reasoning Yet
Jie Huang, Xinyun Chen, ... (+5 more)
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cs.CL
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748 |
2 years ago |
| 77 |
Deep Gaussian Embedding of Graphs: Unsupervised Inductive Learning via Ranking
Aleksandar Bojchevski, Stephan Günnemann
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stat.ML
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739 |
9 years ago |
| 78 |
Nesterov Accelerated Gradient and Scale Invariance for Adversarial Attacks
Jiadong Lin, Chuanbiao Song, ... (+3 more)
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cs.LG
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733 |
6 years ago |
| 79 |
Visualizing Deep Neural Network Decisions: Prediction Difference Analysis
Luisa M Zintgraf, Taco S Cohen, ... (+2 more)
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cs.CV
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730 |
9 years ago |
| 80 |
Learning Representations from EEG with Deep Recurrent-Convolutional Neural Networks
Pouya Bashivan, Irina Rish, ... (+2 more)
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cs.LG
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723 |
10 years ago |
| 81 |
vq-wav2vec: Self-Supervised Learning of Discrete Speech Representations
Alexei Baevski, Steffen Schneider, Michael Auli
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cs.CL
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721 |
6 years ago |
| 82 |
Net2Net: Accelerating Learning via Knowledge Transfer
Tianqi Chen, Ian Goodfellow, Jonathon Shlens
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cs.LG
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713 |
10 years ago |
| 83 |
Variational Lossy Autoencoder
Xi Chen, Diederik P. Kingma, ... (+6 more)
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cs.LG
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696 |
9 years ago |
| 84 |
Dynamic Coattention Networks For Question Answering
Caiming Xiong, Victor Zhong, Richard Socher
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cs.CL
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694 |
9 years ago |
| 85 |
Fantastic Generalization Measures and Where to Find Them
Yiding Jiang, Behnam Neyshabur, ... (+3 more)
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cs.LG
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687 |
6 years ago |
| 86 |
Scalable Private Learning with PATE
Nicolas Papernot, Shuang Song, ... (+4 more)
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stat.ML
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683 |
8 years ago |
| 87 |
DiffEdit: Diffusion-based semantic image editing with mask guidance
Guillaume Couairon, Jakob Verbeek, ... (+2 more)
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cs.CV
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674 |
3 years ago |
| 88 |
Reducing Transformer Depth on Demand with Structured Dropout
Angela Fan, Edouard Grave, Armand Joulin
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cs.LG
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668 |
6 years ago |
| 89 |
The Variational Fair Autoencoder
Christos Louizos, Kevin Swersky, ... (+3 more)
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stat.ML
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666 |
10 years ago |
| 90 |
An Actor-Critic Algorithm for Sequence Prediction
Dzmitry Bahdanau, Philemon Brakel, ... (+6 more)
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cs.LG
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662 |
9 years ago |
| 91 |
Revisiting Batch Normalization For Practical Domain Adaptation
Yanghao Li, Naiyan Wang, ... (+3 more)
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cs.CV
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656 |
10 years ago |
| 92 |
Generating Natural Adversarial Examples
Zhengli Zhao, Dheeru Dua, Sameer Singh
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cs.LG
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646 |
8 years ago |
| 93 |
Central Moment Discrepancy (CMD) for Domain-Invariant Representation Learning
Werner Zellinger, Thomas Grubinger, ... (+3 more)
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stat.ML
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645 |
9 years ago |
| 94 |
A PAC-Bayesian Approach to Spectrally-Normalized Margin Bounds for Neural Networks
Behnam Neyshabur, Srinadh Bhojanapalli, Nathan Srebro
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cs.LG
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643 |
8 years ago |
| 95 |
All you need is a good init
Dmytro Mishkin, Jiri Matas
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cs.LG
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642 |
10 years ago |
| 96 |
Adversarial Attacks on Graph Neural Networks via Meta Learning
Daniel Zügner, Stephan Günnemann
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cs.LG
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635 |
7 years ago |
| 97 |
Actor-Mimic: Deep Multitask and Transfer Reinforcement Learning
Emilio Parisotto, Jimmy Lei Ba, Ruslan Salakhutdinov
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cs.LG
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633 |
10 years ago |
| 98 |
Zero-Shot Image Restoration Using Denoising Diffusion Null-Space Model
Yinhuai Wang, Jiwen Yu, Jian Zhang
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cs.CV
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631 |
3 years ago |
| 99 |
Decomposing Motion and Content for Natural Video Sequence Prediction
Ruben Villegas, Jimei Yang, ... (+3 more)
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cs.CV
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630 |
9 years ago |
| 100 |
Reward Constrained Policy Optimization
Chen Tessler, Daniel J. Mankowitz, Shie Mannor
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cs.LG
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627 |
8 years ago |