| 201 |
The Numerics of GANs
Lars Mescheder, Sebastian Nowozin, Andreas Geiger
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cs.LG
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474 |
9 years ago |
| 202 |
Understanding and Improving Layer Normalization
Jingjing Xu, Xu Sun, ... (+3 more)
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cs.LG
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473 |
6 years ago |
| 203 |
Triple Generative Adversarial Nets
Chongxuan Li, Kun Xu, ... (+2 more)
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cs.LG
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469 |
9 years ago |
| 204 |
Unsupervised Feature Extraction by Time-Contrastive Learning and Nonlinear ICA
Aapo Hyvarinen, Hiroshi Morioka
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stat.ML
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466 |
10 years ago |
| 205 |
Self-Supervised Learning by Cross-Modal Audio-Video Clustering
Humam Alwassel, Dhruv Mahajan, ... (+4 more)
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cs.CV
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464 |
6 years ago |
| 206 |
Inverse Reward Design
Dylan Hadfield-Menell, Smitha Milli, ... (+3 more)
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cs.AI
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459 |
8 years ago |
| 207 |
Visualizing and Measuring the Geometry of BERT
Andy Coenen, Emily Reif, ... (+5 more)
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cs.LG
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455 |
7 years ago |
| 208 |
Semidefinite relaxations for certifying robustness to adversarial examples
Aditi Raghunathan, Jacob Steinhardt, Percy Liang
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cs.LG
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454 |
7 years ago |
| 209 |
Privacy Amplification by Subsampling: Tight Analyses via Couplings and Divergences
Borja Balle, Gilles Barthe, Marco Gaboardi
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cs.LG
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451 |
8 years ago |
| 210 |
Hyperbolic Graph Neural Networks
Qi Liu, Maximilian Nickel, Douwe Kiela
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cs.LG
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451 |
6 years ago |
| 211 |
Reward learning from human preferences and demonstrations in Atari
Borja Ibarz, Jan Leike, ... (+4 more)
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cs.LG
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449 |
7 years ago |
| 212 |
Measuring Neural Net Robustness with Constraints
Osbert Bastani, Yani Ioannou, ... (+4 more)
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cs.LG
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445 |
10 years ago |
| 213 |
Thinking Fast and Slow with Deep Learning and Tree Search
Thomas Anthony, Zheng Tian, David Barber
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cs.AI
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444 |
9 years ago |
| 214 |
Dense Associative Memory for Pattern Recognition
Dmitry Krotov, John J Hopfield
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cs.NE
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441 |
10 years ago |
| 215 |
PRNet: Self-Supervised Learning for Partial-to-Partial Registration
Yue Wang, Justin M. Solomon
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cs.LG
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441 |
6 years ago |
| 216 |
LightGaussian: Unbounded 3D Gaussian Compression with 15x Reduction and 200+ FPS
Zhiwen Fan, Kevin Wang, ... (+4 more)
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cs.CV
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438 |
2 years ago |
| 217 |
Learning Koopman Invariant Subspaces for Dynamic Mode Decomposition
Naoya Takeishi, Yoshinobu Kawahara, Takehisa Yairi
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cs.LG
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437 |
8 years ago |
| 218 |
Differentiable MPC for End-to-end Planning and Control
Brandon Amos, Ivan Dario Jimenez Rodriguez, ... (+3 more)
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cs.LG
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435 |
7 years ago |
| 219 |
Efficient Formal Safety Analysis of Neural Networks
Shiqi Wang, Kexin Pei, ... (+3 more)
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cs.LG
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433 |
7 years ago |
| 220 |
On the Global Linear Convergence of Frank-Wolfe Optimization Variants
Simon Lacoste-Julien, Martin Jaggi
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math.OC
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431 |
10 years ago |
| 221 |
Neighbourhood Consensus Networks
Ignacio Rocco, Mircea Cimpoi, ... (+4 more)
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cs.CV
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430 |
7 years ago |
| 222 |
Sequential Neural Models with Stochastic Layers
Marco Fraccaro, Søren Kaae Sønderby, ... (+2 more)
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stat.ML
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428 |
10 years ago |
| 223 |
Few-Shot Adversarial Domain Adaptation
Saeid Motiian, Quinn Jones, ... (+2 more)
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cs.CV
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428 |
8 years ago |
| 224 |
Neural Voice Cloning with a Few Samples
Sercan O. Arik, Jitong Chen, ... (+3 more)
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cs.CL
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427 |
8 years ago |
| 225 |
Learning the Number of Neurons in Deep Networks
Jose M Alvarez, Mathieu Salzmann
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cs.CV
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425 |
9 years ago |
| 226 |
Inferring Algorithmic Patterns with Stack-Augmented Recurrent Nets
Armand Joulin, Tomas Mikolov
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cs.NE
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423 |
11 years ago |
| 227 |
Variational Information Maximisation for Intrinsically Motivated Reinforcement Learning
Shakir Mohamed, Danilo Jimenez Rezende
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stat.ML
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423 |
10 years ago |
| 228 |
End-to-End Differentiable Proving
Tim Rocktäschel, Sebastian Riedel
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cs.NE
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423 |
9 years ago |
| 229 |
Searching for Efficient Multi-Scale Architectures for Dense Image Prediction
Liang-Chieh Chen, Maxwell D. Collins, ... (+6 more)
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cs.CV
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420 |
7 years ago |
| 230 |
Visual Dynamics: Probabilistic Future Frame Synthesis via Cross Convolutional Networks
Tianfan Xue, Jiajun Wu, ... (+2 more)
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cs.CV
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417 |
10 years ago |
| 231 |
MAVEN: Multi-Agent Variational Exploration
Anuj Mahajan, Tabish Rashid, ... (+2 more)
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cs.LG
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414 |
6 years ago |
| 232 |
Randomized Prior Functions for Deep Reinforcement Learning
Ian Osband, John Aslanides, Albin Cassirer
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stat.ML
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413 |
8 years ago |
| 233 |
Adversarial Training and Robustness for Multiple Perturbations
Florian Tramèr, Dan Boneh
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cs.LG
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413 |
7 years ago |
| 234 |
Pareto Multi-Task Learning
Xi Lin, Hui-Ling Zhen, ... (+3 more)
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cs.LG
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410 |
6 years ago |
| 235 |
Learning to Perform Local Rewriting for Combinatorial Optimization
Xinyun Chen, Yuandong Tian
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cs.LG
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408 |
7 years ago |
| 236 |
BERT Loses Patience: Fast and Robust Inference with Early Exit
Wangchunshu Zhou, Canwen Xu, ... (+4 more)
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cs.CL
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408 |
6 years ago |
| 237 |
Gradient Estimation Using Stochastic Computation Graphs
John Schulman, Nicolas Heess, ... (+2 more)
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cs.LG
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407 |
11 years ago |
| 238 |
Unsupervised Learning of 3D Structure from Images
Danilo Jimenez Rezende, S. M. Ali Eslami, ... (+4 more)
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cs.CV
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407 |
10 years ago |
| 239 |
Convergent Learning: Do different neural networks learn the same representations?
Yixuan Li, Jason Yosinski, ... (+3 more)
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cs.LG
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405 |
10 years ago |
| 240 |
Global Optimality of Local Search for Low Rank Matrix Recovery
Srinadh Bhojanapalli, Behnam Neyshabur, Nathan Srebro
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stat.ML
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405 |
10 years ago |
| 241 |
Learning to Dispatch for Job Shop Scheduling via Deep Reinforcement Learning
Cong Zhang, Wen Song, ... (+4 more)
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cs.LG
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400 |
5 years ago |
| 242 |
Beyond Parity: Fairness Objectives for Collaborative Filtering
Sirui Yao, Bert Huang
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cs.IR
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398 |
9 years ago |
| 243 |
Few-shot Video-to-Video Synthesis
Ting-Chun Wang, Ming-Yu Liu, ... (+4 more)
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cs.CV
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397 |
6 years ago |
| 244 |
Robustness of classifiers: from adversarial to random noise
Alhussein Fawzi, Seyed-Mohsen Moosavi-Dezfooli, Pascal Frossard
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cs.LG
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394 |
9 years ago |
| 245 |
High-Quality Self-Supervised Deep Image Denoising
Samuli Laine, Tero Karras, ... (+2 more)
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cs.LG
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391 |
7 years ago |
| 246 |
Spectral Representations for Convolutional Neural Networks
Oren Rippel, Jasper Snoek, Ryan P. Adams
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stat.ML
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385 |
11 years ago |
| 247 |
Adaptive Gradient-Based Meta-Learning Methods
Mikhail Khodak, Maria-Florina Balcan, Ameet Talwalkar
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cs.LG
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385 |
7 years ago |
| 248 |
DRUM: End-To-End Differentiable Rule Mining On Knowledge Graphs
Ali Sadeghian, Mohammadreza Armandpour, ... (+2 more)
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cs.LG
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383 |
6 years ago |
| 249 |
ATOMO: Communication-efficient Learning via Atomic Sparsification
Hongyi Wang, Scott Sievert, ... (+4 more)
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stat.ML
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380 |
8 years ago |
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Levenshtein Transformer
Jiatao Gu, Changhan Wang, Jake Zhao
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cs.CL
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380 |
7 years ago |