Papers
Sound and Complete Causal Identification with Latent Variables Given Local Background Knowledge
Tian-Zuo Wang, Tian Qin, Zhi-Hua Zhou
Sound and Complete Verification of Polynomial Networks
Elias Abad Rocamora, Mehmet Fatih Sahin, Fanghui Liu et al.
SoundSpaces 2.0: A Simulation Platform for Visual-Acoustic Learning
Changan Chen, Carl Schissler, Sanchit Garg et al.
SparCL: Sparse Continual Learning on the Edge
Zifeng Wang, Zheng Zhan, Yifan Gong et al.
Sparse2Dense: Learning to Densify 3D Features for 3D Object Detection
Tianyu Wang, Xiaowei Hu, Zhengzhe LIU et al.
Sparse Fourier Backpropagation in Cryo-EM Reconstruction
Dari Kimanius, Kiarash Jamali, Sjors Scheres
Sparse Gaussian Process Hyperparameters: Optimize or Integrate?
Vidhi Lalchand, Wessel Bruinsma, David Burt et al.
Sparse Hypergraph Community Detection Thresholds in Stochastic Block Model
Erchuan Zhang, David Suter, Giang Truong et al.
Sparse Probabilistic Circuits via Pruning and Growing
Meihua Dang, Anji Liu, Guy Van den Broeck
Sparse Structure Search for Delta Tuning
Shengding Hu, Zhen Zhang, Ning Ding et al.
Sparse Winning Tickets are Data-Efficient Image Recognizers
Mukund Varma T, Xuxi Chen, Zhenyu Zhang et al.
Sparsity in Continuous-Depth Neural Networks
Hananeh Aliee, Till Richter, Mikhail Solonin et al.
Spartan: Differentiable Sparsity via Regularized Transportation
Kai Sheng Tai, Taipeng Tian, Ser Nam Lim
Spatial Mixture-of-Experts
Nikoli Dryden, Torsten Hoefler
Spatial Pruned Sparse Convolution for Efficient 3D Object Detection
Jianhui Liu, Yukang Chen, Xiaoqing Ye et al.
SPD domain-specific batch normalization to crack interpretable unsupervised domain adaptation in EEG
Reinmar Kobler, Jun-ichiro Hirayama, Qibin Zhao et al.
SPD: Synergy Pattern Diversifying Oriented Unsupervised Multi-agent Reinforcement Learning
Yuhang Jiang, Jianzhun Shao, Shuncheng He et al.
Spectral Bias in Practice: The Role of Function Frequency in Generalization
Sara Fridovich-Keil, Raphael Gontijo Lopes, Rebecca Roelofs
Spectral Bias Outside the Training Set for Deep Networks in the Kernel Regime
Benjamin Bowman, Guido F. Montufar
Spectrum Random Masking for Generalization in Image-based Reinforcement Learning
Yangru Huang, Peixi Peng, Yifan Zhao et al.
Spending Thinking Time Wisely: Accelerating MCTS with Virtual Expansions
Weirui Ye, Pieter Abbeel, Yang Gao
Spherical Channels for Modeling Atomic Interactions
Larry Zitnick, Abhishek Das, Adeesh Kolluru et al.
Spherization Layer: Representation Using Only Angles
Hoyong Kim, kangil kim
S-PIFu: Integrating Parametric Human Models with PIFu for Single-view Clothed Human Reconstruction
Kennard Chan, Guosheng Lin, Haiyu Zhao et al.