| 401 |
Iterative Machine Teaching
Weiyang Liu, Bo Dai, ... (+6 more)
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stat.ML
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150 |
9 years ago |
| 402 |
Adaptive Reward-Poisoning Attacks against Reinforcement Learning
Xuezhou Zhang, Yuzhe Ma, ... (+2 more)
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cs.LG
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150 |
6 years ago |
| 403 |
Human-Timescale Adaptation in an Open-Ended Task Space
Adaptive Agent Team, Jakob Bauer, ... (+26 more)
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cs.LG
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149 |
3 years ago |
| 404 |
The Ladder: A Reliable Leaderboard for Machine Learning Competitions
Avrim Blum, Moritz Hardt
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cs.LG
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148 |
11 years ago |
| 405 |
Differentially Private Chi-Squared Hypothesis Testing: Goodness of Fit and Independence Testing
Marco Gaboardi, Hyun woo Lim, ... (+2 more)
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math.ST
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146 |
10 years ago |
| 406 |
Infrared Colorization Using Deep Convolutional Neural Networks
Matthias Limmer, Hendrik P. A. Lensch
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cs.CV
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146 |
10 years ago |
| 407 |
Latent Intention Dialogue Models
Tsung-Hsien Wen, Yishu Miao, ... (+2 more)
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cs.CL
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146 |
9 years ago |
| 408 |
Universal Planning Networks
Aravind Srinivas, Allan Jabri, ... (+3 more)
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cs.LG
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146 |
8 years ago |
| 409 |
Retro*: Learning Retrosynthetic Planning with Neural Guided A* Search
Binghong Chen, Chengtao Li, ... (+2 more)
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cs.LG
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146 |
6 years ago |
| 410 |
Mind the duality gap: safer rules for the Lasso
Olivier Fercoq, Alexandre Gramfort, Joseph Salmon
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stat.ML
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145 |
11 years ago |
| 411 |
Augmenting Supervised Neural Networks with Unsupervised Objectives for Large-scale Image Classification
Yuting Zhang, Kibok Lee, Honglak Lee
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cs.LG
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145 |
10 years ago |
| 412 |
On Context-Dependent Clustering of Bandits
Claudio Gentile, Shuai Li, ... (+4 more)
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cs.LG
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145 |
9 years ago |
| 413 |
Deriving Neural Architectures from Sequence and Graph Kernels
Tao Lei, Wengong Jin, ... (+2 more)
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cs.NE
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145 |
9 years ago |
| 414 |
Dual Supervised Learning
Yingce Xia, Tao Qin, ... (+4 more)
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cs.LG
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145 |
9 years ago |
| 415 |
Deep linear neural networks with arbitrary loss: All local minima are global
Thomas Laurent, James von Brecht
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cs.LG
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145 |
8 years ago |
| 416 |
Online Convex Optimization in Adversarial Markov Decision Processes
Aviv Rosenberg, Yishay Mansour
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cs.LG
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145 |
7 years ago |
| 417 |
Enhanced POET: Open-Ended Reinforcement Learning through Unbounded Invention of Learning Challenges and their Solutions
Rui Wang, Joel Lehman, ... (+5 more)
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cs.NE
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145 |
6 years ago |
| 418 |
Spectral MLE: Top-$K$ Rank Aggregation from Pairwise Comparisons
Yuxin Chen, Changho Suh
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cs.LG
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144 |
11 years ago |
| 419 |
Dynamic Evaluation of Neural Sequence Models
Ben Krause, Emmanuel Kahembwe, ... (+2 more)
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cs.NE
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144 |
8 years ago |
| 420 |
Error-Bounded Correction of Noisy Labels
Songzhu Zheng, Pengxiang Wu, ... (+4 more)
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cs.CV
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144 |
5 years ago |
| 421 |
Privacy for Free: How does Dataset Condensation Help Privacy?
Tian Dong, Bo Zhao, Lingjuan Lyu
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cs.CR
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144 |
4 years ago |
| 422 |
On Efficient Optimal Transport: An Analysis of Greedy and Accelerated Mirror Descent Algorithms
Tianyi Lin, Nhat Ho, Michael I. Jordan
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cs.DS
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142 |
7 years ago |
| 423 |
Optimal Regret Analysis of Thompson Sampling in Stochastic Multi-armed Bandit Problem with Multiple Plays
Junpei Komiyama, Junya Honda, Hiroshi Nakagawa
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stat.ML
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141 |
11 years ago |
| 424 |
An optimal algorithm for the Thresholding Bandit Problem
Andrea Locatelli, Maurilio Gutzeit, Alexandra Carpentier
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stat.ML
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141 |
10 years ago |
| 425 |
EDDI: Efficient Dynamic Discovery of High-Value Information with Partial VAE
Chao Ma, Sebastian Tschiatschek, ... (+4 more)
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cs.LG
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141 |
7 years ago |
| 426 |
Provably Efficient Reinforcement Learning for Discounted MDPs with Feature Mapping
Dongruo Zhou, Jiafan He, Quanquan Gu
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cs.LG
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141 |
6 years ago |
| 427 |
BetterV: Controlled Verilog Generation with Discriminative Guidance
Zehua Pei, Hui-Ling Zhen, ... (+3 more)
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cs.AI
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141 |
2 years ago |
| 428 |
Population-Based Black-Box Optimization for Biological Sequence Design
Christof Angermueller, David Belanger, ... (+6 more)
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cs.LG
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140 |
6 years ago |
| 429 |
Retrieval-Augmented Multimodal Language Modeling
Michihiro Yasunaga, Armen Aghajanyan, ... (+7 more)
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cs.CV
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140 |
3 years ago |
| 430 |
Orthogonal Recurrent Neural Networks with Scaled Cayley Transform
Kyle Helfrich, Devin Willmott, Qiang Ye
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stat.ML
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139 |
8 years ago |
| 431 |
Efficient Orthogonal Parametrisation of Recurrent Neural Networks Using Householder Reflections
Zakaria Mhammedi, Andrew Hellicar, ... (+2 more)
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cs.LG
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138 |
9 years ago |
| 432 |
Policy Teaching via Environment Poisoning: Training-time Adversarial Attacks against Reinforcement Learning
Amin Rakhsha, Goran Radanovic, ... (+3 more)
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cs.LG
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138 |
6 years ago |
| 433 |
Recurrent Orthogonal Networks and Long-Memory Tasks
Mikael Henaff, Arthur Szlam, Yann LeCun
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cs.NE
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137 |
10 years ago |
| 434 |
End-to-End Learning for Structured Prediction Energy Networks
David Belanger, Bishan Yang, Andrew McCallum
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stat.ML
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136 |
9 years ago |
| 435 |
Least-Squares Temporal Difference Learning for the Linear Quadratic Regulator
Stephen Tu, Benjamin Recht
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cs.LG
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136 |
8 years ago |
| 436 |
A Game Theoretic Framework for Model Based Reinforcement Learning
Aravind Rajeswaran, Igor Mordatch, Vikash Kumar
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👻
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cs.LG
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136 |
6 years ago |
| 437 |
Language Agents with Reinforcement Learning for Strategic Play in the Werewolf Game
Zelai Xu, Chao Yu, ... (+3 more)
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cs.AI
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136 |
2 years ago |
| 438 |
Learning Policy Representations in Multiagent Systems
Aditya Grover, Maruan Al-Shedivat, ... (+3 more)
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cs.MA
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135 |
8 years ago |
| 439 |
A Sharp Analysis of Model-based Reinforcement Learning with Self-Play
Qinghua Liu, Tiancheng Yu, ... (+2 more)
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cs.LG
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133 |
5 years ago |
| 440 |
Batched High-dimensional Bayesian Optimization via Structural Kernel Learning
Zi Wang, Chengtao Li, ... (+2 more)
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stat.ML
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132 |
9 years ago |
| 441 |
On the Limitation of Convolutional Neural Networks in Recognizing Negative Images
Hossein Hosseini, Baicen Xiao, ... (+2 more)
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cs.CV
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132 |
9 years ago |
| 442 |
Coded Sparse Matrix Multiplication
Sinong Wang, Jiashang Liu, Ness Shroff
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cs.DC
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132 |
8 years ago |
| 443 |
Semi-Supervised Learning with Normalizing Flows
Pavel Izmailov, Polina Kirichenko, ... (+2 more)
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cs.LG
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132 |
6 years ago |
| 444 |
Normalization Propagation: A Parametric Technique for Removing Internal Covariate Shift in Deep Networks
Devansh Arpit, Yingbo Zhou, ... (+2 more)
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stat.ML
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131 |
10 years ago |
| 445 |
Google's Cloud Vision API Is Not Robust To Noise
Hossein Hosseini, Baicen Xiao, Radha Poovendran
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👻
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cs.CV
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131 |
9 years ago |
| 446 |
TAPAS: Tricks to Accelerate (encrypted) Prediction As a Service
Amartya Sanyal, Matt J. Kusner, ... (+2 more)
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cs.CR
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131 |
8 years ago |
| 447 |
Scalable Differentiable Physics for Learning and Control
Yi-Ling Qiao, Junbang Liang, ... (+2 more)
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cs.LG
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131 |
6 years ago |
| 448 |
Variational Boosting: Iteratively Refining Posterior Approximations
Andrew C. Miller, Nicholas Foti, Ryan P. Adams
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stat.ML
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130 |
9 years ago |
| 449 |
SparseMAP: Differentiable Sparse Structured Inference
Vlad Niculae, André F. T. Martins, ... (+2 more)
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stat.ML
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130 |
8 years ago |
| 450 |
On the Quality of the Initial Basin in Overspecified Neural Networks
Itay Safran, Ohad Shamir
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cs.LG
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129 |
10 years ago |