Papers
11,951 papers found
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
Interpretable Complex-Valued Neural Networks for Privacy Protection
Liyao Xiang, Hao Zhang, Haotian Ma et al.
Interstellar: Searching Recurrent Architecture for Knowledge Graph Embedding
Yongqi Zhang, Quanming Yao, Lei Chen
Intriguing Properties of Adversarial Training at Scale
Cihang Xie, Alan Yuille
Intrinsically Motivated Discovery of Diverse Patterns in Self-Organizing Systems
Chris Reinke, Mayalen Etcheverry, Pierre-Yves Oudeyer
Intrinsic Motivation for Encouraging Synergistic Behavior
Rohan Chitnis, Shubham Tulsiani, Saurabh Gupta et al.
Is a Good Representation Sufficient for Sample Efficient Reinforcement Learning?
Simon S. Du, Sham M. Kakade, Ruosong Wang et al.
Iterative energy-based projection on a normal data manifold for anomaly localization
David Dehaene, Oriel Frigo, Sébastien Combrexelle et al.
Jacobian Adversarially Regularized Networks for Robustness
Alvin Chan, Yi Tay, Yew Soon Ong et al.
Jelly Bean World: A Testbed for Never-Ending Learning
Emmanouil Antonios Platanios, Abulhair Saparov, Tom Mitchell
Kaleidoscope: An Efficient, Learnable Representation For All Structured Linear Maps
Tri Dao, Nimit Sohoni, Albert Gu et al.
Keep Doing What Worked: Behavior Modelling Priors for Offline Reinforcement Learning
Noah Siegel, Jost Tobias Springenberg, Felix Berkenkamp et al.
Kernelized Wasserstein Natural Gradient
M Arbel, A Gretton, W Li et al.