Papers
Slice Sampling Reparameterization Gradients
David Zoltowski, Diana Cai, Ryan P. Adams
SLOE: A Faster Method for Statistical Inference in High-Dimensional Logistic Regression
Steve Yadlowsky, Taedong Yun, Cory Y McLean et al.
Slow Learning and Fast Inference: Efficient Graph Similarity Computation via Knowledge Distillation
Can Qin, Handong Zhao, Lichen Wang et al.
Smooth Bilevel Programming for Sparse Regularization
Clarice Poon, Gabriel Peyré
SmoothMix: Training Confidence-calibrated Smoothed Classifiers for Certified Robustness
Jongheon Jeong, Sejun Park, Minkyu Kim et al.
Smoothness Matrices Beat Smoothness Constants: Better Communication Compression Techniques for Distributed Optimization
Mher Safaryan, Filip Hanzely, Peter Richtarik
Smooth Normalizing Flows
Jonas Köhler, Andreas Krämer, Frank Noe
SNIPS: Solving Noisy Inverse Problems Stochastically
Bahjat Kawar, Gregory Vaksman, Michael Elad
Snowflake: Scaling GNNs to high-dimensional continuous control via parameter freezing
Charles Blake, Vitaly Kurin, Maximilian Igl et al.
SOAT: A Scene- and Object-Aware Transformer for Vision-and-Language Navigation
Abhinav Moudgil, Arjun Majumdar, Harsh Agrawal et al.
Soft Calibration Objectives for Neural Networks
Archit Karandikar, Nicholas Cain, Dustin Tran et al.
SOFT: Softmax-free Transformer with Linear Complexity
Jiachen Lu, Jinghan Yao, Junge Zhang et al.
SOLQ: Segmenting Objects by Learning Queries
Bin Dong, Fangao Zeng, Tiancai Wang et al.
Solving Graph-based Public Goods Games with Tree Search and Imitation Learning
Victor-Alexandru Darvariu, Stephen Hailes, Mirco Musolesi
Solving Min-Max Optimization with Hidden Structure via Gradient Descent Ascent
Emmanouil-Vasileios Vlatakis-Gkaragkounis, Lampros Flokas, Georgios Piliouras
Solving Soft Clustering Ensemble via $k$-Sparse Discrete Wasserstein Barycenter
Ruizhe Qin, Mengying Li, Hu Ding
SOPE: Spectrum of Off-Policy Estimators
Christina Yuan, Yash Chandak, Stephen Giguere et al.
Space-time Mixing Attention for Video Transformer
Adrian Bulat, Juan Manuel Perez Rua, Swathikiran Sudhakaran et al.
SPANN: Highly-efficient Billion-scale Approximate Nearest Neighborhood Search
Qi Chen, Bing Zhao, Haidong Wang et al.
Sparse Deep Learning: A New Framework Immune to Local Traps and Miscalibration
Yan Sun, Wenjun Xiong, Faming Liang
Sparse Flows: Pruning Continuous-depth Models
Lucas Liebenwein, Ramin Hasani, Alexander Amini et al.
Sparse is Enough in Scaling Transformers
Sebastian Jaszczur, Aakanksha Chowdhery, Afroz Mohiuddin et al.
Sparsely Changing Latent States for Prediction and Planning in Partially Observable Domains
Christian Gumbsch, Martin V. Butz, Georg Martius
Sparse Quadratic Optimisation over the Stiefel Manifold with Application to Permutation Synchronisation
Florian Bernard, Daniel Cremers, Johan Thunberg