Papers
11,951 papers found
State-only Imitation with Transition Dynamics Mismatch
Tanmay Gangwani, Jian Peng
Stochastic AUC Maximization with Deep Neural Networks
Mingrui Liu, Zhuoning Yuan, Yiming Ying et al.
Stochastic Conditional Generative Networks with Basis Decomposition
Ze Wang, Xiuyuan Cheng, Guillermo Sapiro et al.
Stochastic Weight Averaging in Parallel: Large-Batch Training That Generalizes Well
Vipul Gupta, Santiago Akle Serrano, Dennis DeCoste
Strategies for Pre-training Graph Neural Networks
Weihua Hu*, Bowen Liu*, Joseph Gomes et al.
StructBERT: Incorporating Language Structures into Pre-training for Deep Language Understanding
Wei Wang, Bin Bi, Ming Yan et al.
StructPool: Structured Graph Pooling via Conditional Random Fields
Hao Yuan, Shuiwang Ji
Structured Object-Aware Physics Prediction for Video Modeling and Planning
Jannik Kossen, Karl Stelzner, Marcel Hussing et al.
Sub-policy Adaptation for Hierarchical Reinforcement Learning
Alexander Li, Carlos Florensa, Ignasi Clavera et al.
SUMO: Unbiased Estimation of Log Marginal Probability for Latent Variable Models
Yucen Luo, Alex Beatson, Mohammad Norouzi et al.
SVQN: Sequential Variational Soft Q-Learning Networks
Shiyu Huang, Hang Su, Jun Zhu et al.
Symplectic ODE-Net: Learning Hamiltonian Dynamics with Control
Yaofeng Desmond Zhong, Biswadip Dey, Amit Chakraborty
Symplectic Recurrent Neural Networks
Zhengdao Chen, Jianyu Zhang, Martin Arjovsky et al.
Synthesizing Programmatic Policies that Inductively Generalize
Jeevana Priya Inala, Osbert Bastani, Zenna Tavares et al.
TabFact: A Large-scale Dataset for Table-based Fact Verification
Wenhu Chen, Hongmin Wang, Jianshu Chen et al.
Target-Embedding Autoencoders for Supervised Representation Learning
Daniel Jarrett, Mihaela van der Schaar
Tensor Decompositions for Temporal Knowledge Base Completion
Timothée Lacroix, Guillaume Obozinski, Nicolas Usunier
The asymptotic spectrum of the Hessian of DNN throughout training
Arthur Jacot, Franck Gabriel, Clement Hongler
The Break-Even Point on Optimization Trajectories of Deep Neural Networks
Stanislaw Jastrzebski, Maciej Szymczak, Stanislav Fort et al.
The Curious Case of Neural Text Degeneration
Ari Holtzman, Jan Buys, Li Du et al.
The Early Phase of Neural Network Training
Jonathan Frankle, David J. Schwab, Ari S. Morcos
The Gambler's Problem and Beyond
Baoxiang Wang, Shuai Li, Jiajin Li et al.
The Implicit Bias of Depth: How Incremental Learning Drives Generalization
Daniel Gissin, Shai Shalev-Shwartz, Amit Daniely
The Ingredients of Real World Robotic Reinforcement Learning
Henry Zhu, Justin Yu, Abhishek Gupta et al.