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Variational Continual Learning
Cuong V. Nguyen, Yingzhen Li, ... (+2 more)
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stat.ML
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8 years ago |
| 152 |
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 |
| 153 |
Learning End-to-End Goal-Oriented Dialog
Antoine Bordes, Y-Lan Boureau, Jason Weston
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cs.CL
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785 |
10 years ago |
| 154 |
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 |
| 155 |
Policy Distillation
Andrei A. Rusu, Sergio Gomez Colmenarejo, ... (+7 more)
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cs.LG
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771 |
10 years ago |
| 156 |
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 |
| 157 |
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 |
| 158 |
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 |
| 159 |
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 |
| 160 |
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 |
8 years ago |
| 161 |
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 |
| 162 |
Emergent Tool Use From Multi-Agent Autocurricula
Bowen Baker, Ingmar Kanitscheider, ... (+5 more)
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cs.LG
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733 |
6 years ago |
| 163 |
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 |
| 164 |
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 |
| 165 |
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 |
| 166 |
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 |
| 167 |
Variational Lossy Autoencoder
Xi Chen, Diederik P. Kingma, ... (+6 more)
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cs.LG
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696 |
9 years ago |
| 168 |
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 |
| 169 |
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 |
| 170 |
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 |
| 171 |
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 |
| 172 |
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 |
| 173 |
The Variational Fair Autoencoder
Christos Louizos, Kevin Swersky, ... (+3 more)
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stat.ML
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666 |
10 years ago |
| 174 |
Neural Text Generation with Unlikelihood Training
Sean Welleck, Ilia Kulikov, ... (+4 more)
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cs.LG
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663 |
6 years ago |
| 175 |
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 |
| 176 |
Parameter Space Noise for Exploration
Matthias Plappert, Rein Houthooft, ... (+7 more)
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cs.LG
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662 |
8 years ago |
| 177 |
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 |
| 178 |
The Goldilocks Principle: Reading Children's Books with Explicit Memory Representations
Felix Hill, Antoine Bordes, ... (+2 more)
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cs.CL
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646 |
10 years ago |
| 179 |
Generating Natural Adversarial Examples
Zhengli Zhao, Dheeru Dua, Sameer Singh
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cs.LG
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646 |
8 years ago |
| 180 |
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 |
| 181 |
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 |
| 182 |
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 |
| 183 |
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 |
| 184 |
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 |
| 185 |
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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3 years ago |
| 186 |
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 |
8 years ago |
| 187 |
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 |
| 188 |
A Baseline for Few-Shot Image Classification
Guneet S. Dhillon, Pratik Chaudhari, ... (+2 more)
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cs.LG
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627 |
6 years ago |
| 189 |
SampleRNN: An Unconditional End-to-End Neural Audio Generation Model
Soroush Mehri, Kundan Kumar, ... (+6 more)
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cs.SD
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9 years ago |
| 190 |
On the Relationship between Self-Attention and Convolutional Layers
Jean-Baptiste Cordonnier, Andreas Loukas, Martin Jaggi
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cs.LG
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619 |
6 years ago |
| 191 |
Learning to Adapt in Dynamic, Real-World Environments Through Meta-Reinforcement Learning
Anusha Nagabandi, Ignasi Clavera, ... (+5 more)
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cs.LG
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618 |
8 years ago |
| 192 |
Your Classifier is Secretly an Energy Based Model and You Should Treat it Like One
Will Grathwohl, Kuan-Chieh Wang, ... (+4 more)
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cs.LG
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618 |
6 years ago |
| 193 |
Learning the Difference that Makes a Difference with Counterfactually-Augmented Data
Divyansh Kaushik, Eduard Hovy, Zachary C. Lipton
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cs.CL
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612 |
6 years ago |
| 194 |
Compositional Attention Networks for Machine Reasoning
Drew A. Hudson, Christopher D. Manning
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cs.AI
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610 |
8 years ago |
| 195 |
DeepCoder: Learning to Write Programs
Matej Balog, Alexander L. Gaunt, ... (+3 more)
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cs.LG
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604 |
9 years ago |
| 196 |
Machine Comprehension Using Match-LSTM and Answer Pointer
Shuohang Wang, Jing Jiang
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cs.CL
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601 |
9 years ago |
| 197 |
Quantifying Language Models' Sensitivity to Spurious Features in Prompt Design or: How I learned to start worrying about prompt formatting
Melanie Sclar, Yejin Choi, ... (+2 more)
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cs.CL
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591 |
2 years ago |
| 198 |
Mode Regularized Generative Adversarial Networks
Tong Che, Yanran Li, ... (+3 more)
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cs.LG
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583 |
9 years ago |
| 199 |
Supervised Contrastive Learning for Pre-trained Language Model Fine-tuning
Beliz Gunel, Jingfei Du, ... (+2 more)
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cs.CL
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580 |
5 years ago |
| 200 |
Order-Embeddings of Images and Language
Ivan Vendrov, Ryan Kiros, ... (+2 more)
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cs.LG
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577 |
10 years ago |