Papers
11,015 papers found
Spectral Embedding of Regularized Block Models
Nathan De Lara, Thomas Bonald
Spike-based causal inference for weight alignment
Jordan Guerguiev, Konrad Kording, Blake Richards
SpikeGrad: An ANN-equivalent Computation Model for Implementing Backpropagation with Spikes
Johannes C. Thiele, Olivier Bichler, Antoine Dupret
SQIL: Imitation Learning via Reinforcement Learning with Sparse Rewards
Siddharth Reddy, Anca D. Dragan, Sergey Levine
Stable Rank Normalization for Improved Generalization in Neural Networks and GANs
Amartya Sanyal, Philip H. Torr, Puneet K. Dokania
State Alignment-based Imitation Learning
Fangchen Liu, Zhan Ling, Tongzhou Mu et al.
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.