Papers
Supported Policy Optimization for Offline Reinforcement Learning
Jialong Wu, Haixu Wu, Zihan Qiu et al.
Support Recovery in Sparse PCA with Incomplete Data
Hanbyul Lee, Qifan Song, Jean Honorio
SurDis: A Surface Discontinuity Dataset for Wearable Technology to Assist Blind Navigation in Urban Environments
Kuan Yew Leong, Siew Mooi Lim
Surprise Minimizing Multi-Agent Learning with Energy-based Models
Karush Suri, Xiao Qi Shi, Konstantinos N Plataniotis et al.
Surprising Instabilities in Training Deep Networks and a Theoretical Analysis
Yuxin Sun, DONG LAO, Ganesh Sundaramoorthi et al.
Sustainable Online Reinforcement Learning for Auto-bidding
Zhiyu Mou, Yusen Huo, Rongquan Bai et al.
SwinTrack: A Simple and Strong Baseline for Transformer Tracking
Liting Lin, Heng Fan, Zhipeng Zhang et al.
Symbolic Distillation for Learned TCP Congestion Control
S P Sharan, Wenqing Zheng, Kuo-Feng Hsu et al.
Symmetry-induced Disentanglement on Graphs
Giangiacomo Mercatali, Andre Freitas, Vikas Garg
Symmetry Teleportation for Accelerated Optimization
Bo Zhao, Nima Dehmamy, Robin Walters et al.
Sym-NCO: Leveraging Symmetricity for Neural Combinatorial Optimization
Minsu Kim, Junyoung Park, Jinkyoo Park
Symplectic Spectrum Gaussian Processes: Learning Hamiltonians from Noisy and Sparse Data
Yusuke Tanaka, Tomoharu Iwata, naonori ueda
Syndicated Bandits: A Framework for Auto Tuning Hyper-parameters in Contextual Bandit Algorithms
QIN DING, Yue Kang, Yi-Wei Liu et al.
Synergy-of-Experts: Collaborate to Improve Adversarial Robustness
Sen Cui, Jingfeng ZHANG, Jian Liang et al.
Synthetic Model Combination: An Instance-wise Approach to Unsupervised Ensemble Learning
Alex Chan, Mihaela van der Schaar
Systematic improvement of neural network quantum states using Lanczos
Hongwei Chen, Douglas Hendry, Phillip Weinberg et al.
TabNAS: Rejection Sampling for Neural Architecture Search on Tabular Datasets
Chengrun Yang, Gabriel Bender, Hanxiao Liu et al.
TA-GATES: An Encoding Scheme for Neural Network Architectures
Xuefei Ning, Zixuan Zhou, Junbo Zhao et al.
TaiSu: A 166M Large-scale High-Quality Dataset for Chinese Vision-Language Pre-training
Yulong Liu, Guibo Zhu, Bin Zhu et al.
Taming Fat-Tailed (“Heavier-Tailed” with Potentially Infinite Variance) Noise in Federated Learning
Haibo Yang, Peiwen Qiu, Jia Liu
TA-MoE: Topology-Aware Large Scale Mixture-of-Expert Training
Chang Chen, Min Li, Zhihua Wu et al.
TANGO: Text-driven Photorealistic and Robust 3D Stylization via Lighting Decomposition
Yongwei Chen, Rui Chen, Jiabao Lei et al.
TANKBind: Trigonometry-Aware Neural NetworKs for Drug-Protein Binding Structure Prediction
Wei Lu, Qifeng Wu, Jixian Zhang et al.
TAP-Vid: A Benchmark for Tracking Any Point in a Video
Carl Doersch, Ankush Gupta, Larisa Markeeva et al.
Target alignment in truncated kernel ridge regression
Arash Amini, Richard Baumgartner, Dai Feng