Papers
Simple and Principled Uncertainty Estimation with Deterministic Deep Learning via Distance Awareness
Jeremiah Liu, Zi Lin, Shreyas Padhy et al.
Simple and Scalable Sparse k-means Clustering via Feature Ranking
Zhiyue Zhang, Kenneth Lange, Jason Xu
Simplify and Robustify Negative Sampling for Implicit Collaborative Filtering
Jingtao Ding, Yuhan Quan, Quanming Yao et al.
Simplifying Hamiltonian and Lagrangian Neural Networks via Explicit Constraints
Marc Finzi, Ke Alexander Wang, Andrew G Wilson
Simulating a Primary Visual Cortex at the Front of CNNs Improves Robustness to Image Perturbations
Joel Dapello, Tiago Marques, Martin Schrimpf et al.
Simultaneously Learning Stochastic and Adversarial Episodic MDPs with Known Transition
Tiancheng Jin, Haipeng Luo
Simultaneous Preference and Metric Learning from Paired Comparisons
Austin Xu, Mark Davenport
Sinkhorn Barycenter via Functional Gradient Descent
Zebang Shen, Zhenfu Wang, Alejandro Ribeiro et al.
Sinkhorn Natural Gradient for Generative Models
Zebang Shen, Zhenfu Wang, Alejandro Ribeiro et al.
SIRI: Spatial Relation Induced Network For Spatial Description Resolution
peiyao wang, Weixin Luo, Yanyu Xu et al.
Skeleton-bridged Point Completion: From Global Inference to Local Adjustment
Yinyu Nie, Yiqun Lin, Xiaoguang Han et al.
Sliding Window Algorithms for k-Clustering Problems
Michele Borassi, Alessandro Epasto, Silvio Lattanzi et al.
SLIP: Learning to predict in unknown dynamical systems with long-term memory
Paria Rashidinejad, Jiantao Jiao, Stuart J. Russell
Small Nash Equilibrium Certificates in Very Large Games
Brian Zhang, Tuomas Sandholm
Smooth And Consistent Probabilistic Regression Trees
Sami Alkhoury, Emilie Devijver, Marianne Clausel et al.
Smoothed Analysis of Online and Differentially Private Learning
Nika Haghtalab, Tim Roughgarden, Abhishek Shetty
Smoothed Geometry for Robust Attribution
Zifan Wang, Haofan Wang, Shakul Ramkumar et al.
Smoothly Bounding User Contributions in Differential Privacy
Alessandro Epasto, Mohammad Mahdian, Jieming Mao et al.
SMYRF - Efficient Attention using Asymmetric Clustering
Giannis Daras, Nikita Kitaev, Augustus Odena et al.
SnapBoost: A Heterogeneous Boosting Machine
Thomas Parnell, Andreea Anghel, Małgorzata Łazuka et al.
Soft Contrastive Learning for Visual Localization
Janine Thoma, Danda Pani Paudel, Luc V. Gool
SoftFlow: Probabilistic Framework for Normalizing Flow on Manifolds
Hyeongju Kim, Hyeonseung Lee, Woo Hyun Kang et al.
Softmax Deep Double Deterministic Policy Gradients
Ling Pan, Qingpeng Cai, Longbo Huang
SOLOv2: Dynamic and Fast Instance Segmentation
Xinlong Wang, Rufeng Zhang, Tao Kong et al.
Solver-in-the-Loop: Learning from Differentiable Physics to Interact with Iterative PDE-Solvers
Kiwon Um, Robert Brand, Yun (Raymond) Fei et al.