Papers
11,015 papers found
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
Improving Neural Language Generation with Spectrum Control
Lingxiao Wang, Jing Huang, Kevin Huang et al.
Incorporating BERT into Neural Machine Translation
Jinhua Zhu, Yingce Xia, Lijun Wu et al.
Inductive and Unsupervised Representation Learning on Graph Structured Objects
Lichen Wang, Bo Zong, Qianqian Ma et al.
Inductive Matrix Completion Based on Graph Neural Networks
Muhan Zhang, Yixin Chen
Inductive representation learning on temporal graphs
da Xu, chuanwei ruan, evren korpeoglu et al.
Infinite-Horizon Differentiable Model Predictive Control
Sebastian East, Marco Gallieri, Jonathan Masci et al.
Infinite-horizon Off-Policy Policy Evaluation with Multiple Behavior Policies
Xinyun Chen, Lu Wang, Yizhe Hang et al.
Influence-Based Multi-Agent Exploration
Tonghan Wang*, Jianhao Wang*, Yi Wu et al.
InfoGraph: Unsupervised and Semi-supervised Graph-Level Representation Learning via Mutual Information Maximization
Fan-Yun Sun, Jordan Hoffman, Vikas Verma et al.
Information Geometry of Orthogonal Initializations and Training
Piotr Aleksander Sokół, Il Memming Park
Input Complexity and Out-of-distribution Detection with Likelihood-based Generative Models
Joan Serrà, David Álvarez, Vicenç Gómez et al.
In Search for a SAT-friendly Binarized Neural Network Architecture
Nina Narodytska, Hongce Zhang, Aarti Gupta et al.
Intensity-Free Learning of Temporal Point Processes
Oleksandr Shchur, Marin Biloš, Stephan Günnemann