Papers
Skin Deep Unlearning: Artefact and Instrument Debiasing in the Context of Melanoma Classification
Peter Bevan, Amir Atapour-Abarghouei
Smoothed Adaptive Weighting for Imbalanced Semi-Supervised Learning: Improve Reliability Against Unknown Distribution Data
Zhengfeng Lai, Chao Wang, Henrry Gunawan et al.
Smoothed Adversarial Linear Contextual Bandits with Knapsacks
Vidyashankar Sivakumar, Shiliang Zuo, Arindam Banerjee
Soft Truncation: A Universal Training Technique of Score-based Diffusion Model for High Precision Score Estimation
Dongjun Kim, Seungjae Shin, Kyungwoo Song et al.
Solving Stackelberg Prediction Game with Least Squares Loss via Spherically Constrained Least Squares Reformulation
Jiali Wang, Wen Huang, Rujun Jiang et al.
SoQal: Selective Oracle Questioning for Consistency Based Active Learning of Cardiac Signals
Dani Kiyasseh, Tingting Zhu, David A Clifton
SpaceMAP: Visualizing High-Dimensional Data by Space Expansion
Xinrui Zu, Qian Tao
Sparse Double Descent: Where Network Pruning Aggravates Overfitting
Zheng He, Zeke Xie, Quanzhi Zhu et al.
Sparse Invariant Risk Minimization
Xiao Zhou, Yong Lin, Weizhong Zhang et al.
Sparse Mixed Linear Regression with Guarantees: Taming an Intractable Problem with Invex Relaxation
Adarsh Barik, Jean Honorio
Sparsity in Partially Controllable Linear Systems
Yonathan Efroni, Sham Kakade, Akshay Krishnamurthy et al.
Spatial-Channel Token Distillation for Vision MLPs
Yanxi Li, Xinghao Chen, Minjing Dong et al.
SPDY: Accurate Pruning with Speedup Guarantees
Elias Frantar, Dan Alistarh
Spectral Representation of Robustness Measures for Optimization Under Input Uncertainty
Jixiang Qing, Tom Dhaene, Ivo Couckuyt
SPECTRE: Spectral Conditioning Helps to Overcome the Expressivity Limits of One-shot Graph Generators
Karolis Martinkus, Andreas Loukas, Nathanaël Perraudin et al.
SpeqNets: Sparsity-aware permutation-equivariant graph networks
Christopher Morris, Gaurav Rattan, Sandra Kiefer et al.
SQ-VAE: Variational Bayes on Discrete Representation with Self-annealed Stochastic Quantization
Yuhta Takida, Takashi Shibuya, Weihsiang Liao et al.
Stability Based Generalization Bounds for Exponential Family Langevin Dynamics
Arindam Banerjee, Tiancong Chen, Xinyan Li et al.
Stabilizing Off-Policy Deep Reinforcement Learning from Pixels
Edoardo Cetin, Philip J Ball, Stephen Roberts et al.
Stabilizing Q-learning with Linear Architectures for Provable Efficient Learning
Andrea Zanette, Martin Wainwright
Stable Conformal Prediction Sets
Eugene Ndiaye
Staged Training for Transformer Language Models
Sheng Shen, Pete Walsh, Kurt Keutzer et al.
State Transition of Dendritic Spines Improves Learning of Sparse Spiking Neural Networks
Yanqi Chen, Zhaofei Yu, Wei Fang et al.
Statistical inference with implicit SGD: proximal Robbins-Monro vs. Polyak-Ruppert
Yoonhyung Lee, Sungdong Lee, Joong-Ho Won
Steerable 3D Spherical Neurons
Pavlo Melnyk, Michael Felsberg, Mårten Wadenbäck