| 201 |
High Dimensional Bayesian Optimisation and Bandits via Additive Models
Kirthevasan Kandasamy, Jeff Schneider, Barnabas Poczos
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stat.ML
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398 |
11 years ago |
| 202 |
NetGAN: Generating Graphs via Random Walks
Aleksandar Bojchevski, Oleksandr Shchur, ... (+2 more)
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stat.ML
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398 |
8 years ago |
| 203 |
Analogical Inference for Multi-Relational Embeddings
Hanxiao Liu, Yuexin Wu, Yiming Yang
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cs.LG
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395 |
9 years ago |
| 204 |
Decoupled Neural Interfaces using Synthetic Gradients
Max Jaderberg, Wojciech Marian Czarnecki, ... (+5 more)
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cs.LG
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393 |
9 years ago |
| 205 |
Learning to Generate Long-term Future via Hierarchical Prediction
Ruben Villegas, Jimei Yang, ... (+4 more)
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cs.CV
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392 |
9 years ago |
| 206 |
Distributed Mean Estimation with Limited Communication
Ananda Theertha Suresh, Felix X. Yu, ... (+2 more)
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cs.LG
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391 |
9 years ago |
| 207 |
Adaptive Neural Networks for Efficient Inference
Tolga Bolukbasi, Joseph Wang, ... (+2 more)
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cs.LG
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391 |
9 years ago |
| 208 |
Synthesizer: Rethinking Self-Attention in Transformer Models
Yi Tay, Dara Bahri, ... (+4 more)
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cs.CL
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391 |
6 years ago |
| 209 |
Rethinking Lossy Compression: The Rate-Distortion-Perception Tradeoff
Yochai Blau, Tomer Michaeli
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cs.LG
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389 |
7 years ago |
| 210 |
Stochastic Gradient Push for Distributed Deep Learning
Mahmoud Assran, Nicolas Loizou, ... (+2 more)
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cs.LG
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388 |
7 years ago |
| 211 |
Pix2Struct: Screenshot Parsing as Pretraining for Visual Language Understanding
Kenton Lee, Mandar Joshi, ... (+8 more)
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cs.CL
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388 |
3 years ago |
| 212 |
Programmatically Interpretable Reinforcement Learning
Abhinav Verma, Vijayaraghavan Murali, ... (+3 more)
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cs.LG
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384 |
8 years ago |
| 213 |
D$^2$: Decentralized Training over Decentralized Data
Hanlin Tang, Xiangru Lian, ... (+3 more)
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cs.DC
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378 |
8 years ago |
| 214 |
Exploiting Cyclic Symmetry in Convolutional Neural Networks
Sander Dieleman, Jeffrey De Fauw, Koray Kavukcuoglu
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cs.LG
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377 |
10 years ago |
| 215 |
Neural Episodic Control
Alexander Pritzel, Benigno Uria, ... (+6 more)
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cs.LG
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377 |
9 years ago |
| 216 |
Responsive Safety in Reinforcement Learning by PID Lagrangian Methods
Adam Stooke, Joshua Achiam, Pieter Abbeel
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math.OC
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376 |
5 years ago |
| 217 |
Batch Policy Learning under Constraints
Hoang M. Le, Cameron Voloshin, Yisong Yue
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cs.LG
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375 |
7 years ago |
| 218 |
Promptbreeder: Self-Referential Self-Improvement Via Prompt Evolution
Chrisantha Fernando, Dylan Banarse, ... (+3 more)
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cs.CL
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372 |
2 years ago |
| 219 |
Deduplicating Training Data Mitigates Privacy Risks in Language Models
Nikhil Kandpal, Eric Wallace, Colin Raffel
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cs.CR
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371 |
4 years ago |
| 220 |
Flexibly Fair Representation Learning by Disentanglement
Elliot Creager, David Madras, ... (+5 more)
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cs.LG
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365 |
6 years ago |
| 221 |
Sorting out Lipschitz function approximation
Cem Anil, James Lucas, Roger Grosse
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cs.LG
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361 |
7 years ago |
| 222 |
Discrete Distribution Estimation under Local Privacy
Peter Kairouz, Keith Bonawitz, Daniel Ramage
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stat.ML
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359 |
10 years ago |
| 223 |
Opponent Modeling in Deep Reinforcement Learning
He He, Jordan Boyd-Graber, ... (+2 more)
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cs.LG
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358 |
9 years ago |
| 224 |
Averaged-DQN: Variance Reduction and Stabilization for Deep Reinforcement Learning
Oron Anschel, Nir Baram, Nahum Shimkin
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cs.AI
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357 |
9 years ago |
| 225 |
Hierarchical Variational Models
Rajesh Ranganath, Dustin Tran, David M. Blei
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stat.ML
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352 |
10 years ago |
| 226 |
Adversarial Feature Matching for Text Generation
Yizhe Zhang, Zhe Gan, ... (+5 more)
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stat.ML
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352 |
8 years ago |
| 227 |
Temporal Difference Learning for Model Predictive Control
Nicklas Hansen, Xiaolong Wang, Hao Su
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cs.LG
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349 |
4 years ago |
| 228 |
Recovery Guarantees for One-hidden-layer Neural Networks
Kai Zhong, Zhao Song, ... (+3 more)
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cs.LG
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345 |
8 years ago |
| 229 |
Provably Efficient Maximum Entropy Exploration
Elad Hazan, Sham M. Kakade, ... (+2 more)
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cs.LG
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344 |
7 years ago |
| 230 |
Asynchronous Stochastic Gradient Descent with Delay Compensation
Shuxin Zheng, Qi Meng, ... (+5 more)
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cs.LG
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338 |
9 years ago |
| 231 |
Adversarial Attacks on Node Embeddings via Graph Poisoning
Aleksandar Bojchevski, Stephan Günnemann
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cs.LG
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336 |
7 years ago |
| 232 |
A Theory of Generative ConvNet
Jianwen Xie, Yang Lu, ... (+2 more)
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stat.ML
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333 |
10 years ago |
| 233 |
Interactive Learning from Policy-Dependent Human Feedback
James MacGlashan, Mark K Ho, ... (+6 more)
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cs.AI
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331 |
9 years ago |
| 234 |
Discovering Discrete Latent Topics with Neural Variational Inference
Yishu Miao, Edward Grefenstette, Phil Blunsom
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cs.CL
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328 |
8 years ago |
| 235 |
Graphite: Iterative Generative Modeling of Graphs
Aditya Grover, Aaron Zweig, Stefano Ermon
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stat.ML
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322 |
8 years ago |
| 236 |
Transferable Clean-Label Poisoning Attacks on Deep Neural Nets
Chen Zhu, W. Ronny Huang, ... (+5 more)
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stat.ML
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318 |
7 years ago |
| 237 |
Control of Memory, Active Perception, and Action in Minecraft
Junhyuk Oh, Valliappa Chockalingam, ... (+2 more)
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cs.AI
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316 |
10 years ago |
| 238 |
Globally Optimal Gradient Descent for a ConvNet with Gaussian Inputs
Alon Brutzkus, Amir Globerson
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cs.LG
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316 |
9 years ago |
| 239 |
The Power of Interpolation: Understanding the Effectiveness of SGD in Modern Over-parametrized Learning
Siyuan Ma, Raef Bassily, Mikhail Belkin
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cs.LG
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316 |
8 years ago |
| 240 |
Explainability Techniques for Graph Convolutional Networks
Federico Baldassarre, Hossein Azizpour
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cs.LG
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316 |
6 years ago |
| 241 |
Stochastic modified equations and adaptive stochastic gradient algorithms
Qianxiao Li, Cheng Tai, Weinan E
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cs.LG
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314 |
10 years ago |
| 242 |
GMNN: Graph Markov Neural Networks
Meng Qu, Yoshua Bengio, Jian Tang
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👻
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cs.LG
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314 |
7 years ago |
| 243 |
PolyGen: An Autoregressive Generative Model of 3D Meshes
Charlie Nash, Yaroslav Ganin, ... (+2 more)
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cs.GR
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313 |
6 years ago |
| 244 |
Transformer Quality in Linear Time
Weizhe Hua, Zihang Dai, ... (+2 more)
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cs.LG
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312 |
4 years ago |
| 245 |
Learning Physical Intuition of Block Towers by Example
Adam Lerer, Sam Gross, Rob Fergus
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👻
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cs.AI
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309 |
10 years ago |
| 246 |
Sever: A Robust Meta-Algorithm for Stochastic Optimization
Ilias Diakonikolas, Gautam Kamath, ... (+4 more)
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cs.LG
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309 |
8 years ago |
| 247 |
Computational Optimal Transport: Complexity by Accelerated Gradient Descent Is Better Than by Sinkhorn's Algorithm
Pavel Dvurechensky, Alexander Gasnikov, Alexey Kroshnin
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cs.DS
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306 |
8 years ago |
| 248 |
Vulnerability of Deep Reinforcement Learning to Policy Induction Attacks
Vahid Behzadan, Arslan Munir
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cs.LG
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304 |
9 years ago |
| 249 |
Noisy Activation Functions
Caglar Gulcehre, Marcin Moczulski, ... (+2 more)
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cs.LG
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302 |
10 years ago |
| 250 |
The Predictron: End-To-End Learning and Planning
David Silver, Hado van Hasselt, ... (+9 more)
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cs.LG
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302 |
9 years ago |