Papers
11,951 papers found
Hidden Markov Nonlinear ICA: Unsupervised Learning from Nonstationary Time Series
Hermanni Hälvä, Aapo Hyvarinen
Hierarchical Foresight: Self-Supervised Learning of Long-Horizon Tasks via Visual Subgoal Generation
Suraj Nair, Chelsea Finn
Higher-Order Function Networks for Learning Composable 3D Object Representations
Eric Mitchell, Selim Engin, Volkan Isler et al.
High Fidelity Speech Synthesis with Adversarial Networks
Mikołaj Bińkowski, Jeff Donahue, Sander Dieleman et al.
HiLLoC: lossless image compression with hierarchical latent variable models
James Townsend, Thomas Bird, Julius Kunze et al.
HOPPITY: LEARNING GRAPH TRANSFORMATIONS TO DETECT AND FIX BUGS IN PROGRAMS
Elizabeth Dinella, Hanjun Dai, Ziyang Li et al.
How fine can fine-tuning be? Learning efficient language models
Evani Radiya-Dixit, Xin Wang
How much Position Information Do Convolutional Neural Networks Encode?
Md Amirul Islam*, Sen Jia*, Neil D. B. Bruce
How Rhythm and Timbre Encode Mooré Language in Bendré Drummed Speech
Laure Dentel, Julien Meyer
How to 0wn the NAS in Your Spare Time
Sanghyun Hong, Michael Davinroy, Yiǧitcan Kaya et al.
Hypermodels for Exploration
Vikranth Dwaracherla, Xiuyuan Lu, Morteza Ibrahimi et al.
Hyper-SAGNN: a self-attention based graph neural network for hypergraphs
Ruochi Zhang, Yuesong Zou, Jian Ma
I Am Going MAD: Maximum Discrepancy Competition for Comparing Classifiers Adaptively
Haotao Wang, Tianlong Chen, Zhangyang Wang et al.
Identifying through Flows for Recovering Latent Representations
Shen Li, Bryan Hooi, Gim Hee Lee
Identity Crisis: Memorization and Generalization Under Extreme Overparameterization
Chiyuan Zhang, Samy Bengio, Moritz Hardt et al.
Image-guided Neural Object Rendering
Justus Thies, Michael Zollhöfer, Christian Theobalt et al.
Imitation Learning via Off-Policy Distribution Matching
Ilya Kostrikov, Ofir Nachum, Jonathan Tompson
IMPACT: Importance Weighted Asynchronous Architectures with Clipped Target Networks
Michael Luo, Jiahao Yao, Richard Liaw et al.
Implementation Matters in Deep RL: A Case Study on PPO and TRPO
Logan Engstrom, Andrew Ilyas, Shibani Santurkar et al.
Implicit Bias of Gradient Descent based Adversarial Training on Separable Data
Yan Li, Ethan X.Fang, Huan Xu et al.
Improved memory in recurrent neural networks with sequential non-normal dynamics
Emin Orhan, Xaq Pitkow
Improving Adversarial Robustness Requires Revisiting Misclassified Examples
Yisen Wang, Difan Zou, Jinfeng Yi et al.
Improving Generalization in Meta Reinforcement Learning using Learned Objectives
Louis Kirsch, Sjoerd van Steenkiste, Juergen Schmidhuber