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Are adversarial examples inevitable?
Ali Shafahi, W. Ronny Huang, ... (+3 more)
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cs.LG
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292 |
7 years ago |
| 302 |
Reinforcement Learning through Asynchronous Advantage Actor-Critic on a GPU
Mohammad Babaeizadeh, Iuri Frosio, ... (+3 more)
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🌅
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cs.LG
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291 |
9 years ago |
| 303 |
Cyclical Stochastic Gradient MCMC for Bayesian Deep Learning
Ruqi Zhang, Chunyuan Li, ... (+3 more)
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cs.LG
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290 |
7 years ago |
| 304 |
Hierarchical Generative Modeling for Controllable Speech Synthesis
Wei-Ning Hsu, Yu Zhang, ... (+10 more)
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cs.CL
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290 |
7 years ago |
| 305 |
DreamLLM: Synergistic Multimodal Comprehension and Creation
Runpei Dong, Chunrui Han, ... (+12 more)
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cs.CV
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290 |
2 years ago |
| 306 |
Revisiting Self-Training for Neural Sequence Generation
Junxian He, Jiatao Gu, ... (+2 more)
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cs.LG
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289 |
6 years ago |
| 307 |
Learning to Act by Predicting the Future
Alexey Dosovitskiy, Vladlen Koltun
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cs.LG
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289 |
9 years ago |
| 308 |
CausalGAN: Learning Causal Implicit Generative Models with Adversarial Training
Murat Kocaoglu, Christopher Snyder, ... (+2 more)
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cs.LG
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288 |
8 years ago |
| 309 |
Episodic Curiosity through Reachability
Nikolay Savinov, Anton Raichuk, ... (+5 more)
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🌅
Old Age
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cs.LG
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287 |
7 years ago |
| 310 |
Bag of Tricks for Adversarial Training
Tianyu Pang, Xiao Yang, ... (+3 more)
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cs.LG
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285 |
5 years ago |
| 311 |
Explaining Image Classifiers by Counterfactual Generation
Chun-Hao Chang, Elliot Creager, ... (+2 more)
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cs.CV
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285 |
7 years ago |
| 312 |
Gradient descent aligns the layers of deep linear networks
Ziwei Ji, Matus Telgarsky
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cs.LG
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283 |
7 years ago |
| 313 |
Deep Convolutional Networks as shallow Gaussian Processes
Adrià Garriga-Alonso, Carl Edward Rasmussen, Laurence Aitchison
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stat.ML
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283 |
7 years ago |
| 314 |
A Bayesian Perspective on Generalization and Stochastic Gradient Descent
Samuel L. Smith, Quoc V. Le
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cs.LG
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283 |
8 years ago |
| 315 |
Learning when to Communicate at Scale in Multiagent Cooperative and Competitive Tasks
Amanpreet Singh, Tushar Jain, Sainbayar Sukhbaatar
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cs.LG
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282 |
7 years ago |
| 316 |
Three Mechanisms of Weight Decay Regularization
Guodong Zhang, Chaoqi Wang, ... (+2 more)
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cs.LG
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282 |
7 years ago |
| 317 |
SGD Learns Over-parameterized Networks that Provably Generalize on Linearly Separable Data
Alon Brutzkus, Amir Globerson, ... (+2 more)
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cs.LG
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282 |
8 years ago |
| 318 |
Adaptivity of deep ReLU network for learning in Besov and mixed smooth Besov spaces: optimal rate and curse of dimensionality
Taiji Suzuki
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stat.ML
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281 |
7 years ago |
| 319 |
Learning Invariant Feature Spaces to Transfer Skills with Reinforcement Learning
Abhishek Gupta, Coline Devin, ... (+3 more)
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cs.AI
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281 |
9 years ago |
| 320 |
Discrete Variational Autoencoders
Jason Tyler Rolfe
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stat.ML
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280 |
9 years ago |
| 321 |
A Compare-Aggregate Model for Matching Text Sequences
Shuohang Wang, Jing Jiang
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cs.CL
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280 |
9 years ago |
| 322 |
GraPPa: Grammar-Augmented Pre-Training for Table Semantic Parsing
Tao Yu, Chien-Sheng Wu, ... (+7 more)
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cs.CL
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279 |
5 years ago |
| 323 |
Representation Learning via Invariant Causal Mechanisms
Jovana Mitrovic, Brian McWilliams, ... (+3 more)
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cs.LG
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278 |
5 years ago |
| 324 |
Generative Models and Model Criticism via Optimized Maximum Mean Discrepancy
Danica J. Sutherland, Hsiao-Yu Tung, ... (+5 more)
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stat.ML
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278 |
9 years ago |
| 325 |
VeRA: Vector-based Random Matrix Adaptation
Dawid J. Kopiczko, Tijmen Blankevoort, Yuki M. Asano
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cs.CL
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278 |
2 years ago |
| 326 |
What Can Neural Networks Reason About?
Keyulu Xu, Jingling Li, ... (+4 more)
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cs.LG
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276 |
7 years ago |
| 327 |
WRPN: Wide Reduced-Precision Networks
Asit Mishra, Eriko Nurvitadhi, ... (+2 more)
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cs.CV
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276 |
8 years ago |
| 328 |
Natural Language Inference over Interaction Space
Yichen Gong, Heng Luo, Jian Zhang
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cs.CL
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276 |
8 years ago |
| 329 |
Neural Map: Structured Memory for Deep Reinforcement Learning
Emilio Parisotto, Ruslan Salakhutdinov
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cs.LG
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274 |
9 years ago |
| 330 |
Learning Visual Predictive Models of Physics for Playing Billiards
Katerina Fragkiadaki, Pulkit Agrawal, ... (+2 more)
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cs.CV
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274 |
10 years ago |
| 331 |
Interpreting Graph Neural Networks for NLP With Differentiable Edge Masking
Michael Sejr Schlichtkrull, Nicola De Cao, Ivan Titov
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cs.CL
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272 |
5 years ago |
| 332 |
Online Learning Rate Adaptation with Hypergradient Descent
Atilim Gunes Baydin, Robert Cornish, ... (+3 more)
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cs.LG
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272 |
9 years ago |
| 333 |
Fast-DetectGPT: Efficient Zero-Shot Detection of Machine-Generated Text via Conditional Probability Curvature
Guangsheng Bao, Yanbin Zhao, ... (+3 more)
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cs.CL
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272 |
2 years ago |
| 334 |
Monotonic Chunkwise Attention
Chung-Cheng Chiu, Colin Raffel
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cs.CL
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269 |
8 years ago |
| 335 |
Neural Programmer: Inducing Latent Programs with Gradient Descent
Arvind Neelakantan, Quoc V. Le, Ilya Sutskever
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cs.LG
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268 |
10 years ago |
| 336 |
Inductive Matrix Completion Based on Graph Neural Networks
Muhan Zhang, Yixin Chen
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cs.IR
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267 |
7 years ago |
| 337 |
Routing Networks: Adaptive Selection of Non-linear Functions for Multi-Task Learning
Clemens Rosenbaum, Tim Klinger, Matthew Riemer
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cs.LG
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267 |
8 years ago |
| 338 |
Learning One-hidden-layer Neural Networks with Landscape Design
Rong Ge, Jason D. Lee, Tengyu Ma
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cs.LG
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267 |
8 years ago |
| 339 |
Stochastic Controlled Averaging for Federated Learning with Communication Compression
Xinmeng Huang, Ping Li, Xiaoyun Li
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math.OC
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266 |
2 years ago |
| 340 |
Deep Multi-task Representation Learning: A Tensor Factorisation Approach
Yongxin Yang, Timothy Hospedales
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cs.LG
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266 |
10 years ago |
| 341 |
Surgical Fine-Tuning Improves Adaptation to Distribution Shifts
Yoonho Lee, Annie S. Chen, ... (+5 more)
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cs.LG
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265 |
3 years ago |
| 342 |
An Exponential Learning Rate Schedule for Deep Learning
Zhiyuan Li, Sanjeev Arora
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cs.LG
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263 |
6 years ago |
| 343 |
Multilingual Neural Machine Translation with Knowledge Distillation
Xu Tan, Yi Ren, ... (+4 more)
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cs.CL
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262 |
7 years ago |
| 344 |
Optimal ANN-SNN Conversion for High-accuracy and Ultra-low-latency Spiking Neural Networks
Tong Bu, Wei Fang, ... (+4 more)
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cs.NE
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261 |
3 years ago |
| 345 |
Deep learning generalizes because the parameter-function map is biased towards simple functions
Guillermo Valle-Pérez, Chico Q. Camargo, Ard A. Louis
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👻
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stat.ML
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261 |
8 years ago |
| 346 |
Support-set bottlenecks for video-text representation learning
Mandela Patrick, Po-Yao Huang, ... (+5 more)
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cs.CV
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260 |
5 years ago |
| 347 |
Pruning Neural Networks at Initialization: Why are We Missing the Mark?
Jonathan Frankle, Gintare Karolina Dziugaite, ... (+2 more)
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cs.LG
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258 |
5 years ago |
| 348 |
Plan Online, Learn Offline: Efficient Learning and Exploration via Model-Based Control
Kendall Lowrey, Aravind Rajeswaran, ... (+3 more)
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cs.LG
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258 |
7 years ago |
| 349 |
There Are Many Consistent Explanations of Unlabeled Data: Why You Should Average
Ben Athiwaratkun, Marc Finzi, ... (+2 more)
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cs.LG
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258 |
8 years ago |
| 350 |
Hyperbolic Attention Networks
Caglar Gulcehre, Misha Denil, ... (+9 more)
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cs.NE
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258 |
8 years ago |