Papers
Simple and Controllable Music Generation
Jade Copet, Felix Kreuk, Itai Gat et al.
Simple, Scalable and Effective Clustering via One-Dimensional Projections
Moses Charikar, Monika Henzinger, Lunjia Hu et al.
Simplicity Bias in 1-Hidden Layer Neural Networks
Depen Morwani, Jatin Batra, Prateek Jain et al.
Simplifying Neural Network Training Under Class Imbalance
Ravid Shwartz-Ziv, Micah Goldblum, Yucen Li et al.
Single-Call Stochastic Extragradient Methods for Structured Non-monotone Variational Inequalities: Improved Analysis under Weaker Conditions
Sayantan Choudhury, Eduard Gorbunov, Nicolas Loizou
Single-Pass Pivot Algorithm for Correlation Clustering. Keep it simple!
Konstantin Makarychev, Sayak Chakrabarty
Single-Stage Visual Query Localization in Egocentric Videos
Hanwen Jiang, Santhosh Kumar Ramakrishnan, Kristen Grauman
SiT Dataset: Socially Interactive Pedestrian Trajectory Dataset for Social Navigation Robots
Jong Wook Bae, Jungho Kim, Junyong Yun et al.
SituatedGen: Incorporating Geographical and Temporal Contexts into Generative Commonsense Reasoning
Yunxiang Zhang, Xiaojun Wan
Sketching Algorithms for Sparse Dictionary Learning: PTAS and Turnstile Streaming
Gregory Dexter, Petros Drineas, David Woodruff et al.
Sketchy: Memory-efficient Adaptive Regularization with Frequent Directions
Vladimir Feinberg, Xinyi Chen, Y. Jennifer Sun et al.
Skill-it! A data-driven skills framework for understanding and training language models
Mayee Chen, Nicholas Roberts, Kush Bhatia et al.
SLaM: Student-Label Mixing for Distillation with Unlabeled Examples
Vasilis Kontonis, Fotis Iliopoulos, Khoa Trinh et al.
SLIBO-Net: Floorplan Reconstruction via Slicing Box Representation with Local Geometry Regularization
Jheng-Wei Su, Kuei-Yu Tung, Chi-Han Peng et al.
Slimmed Asymmetrical Contrastive Learning and Cross Distillation for Lightweight Model Training
Jian Meng, Li Yang, Kyungmin Lee et al.
SlotDiffusion: Object-Centric Generative Modeling with Diffusion Models
Ziyi Wu, Jingyu Hu, Wuyue Lu et al.
Slot-guided Volumetric Object Radiance Fields
DI QI, Tong Yang, Xiangyu Zhang
Slow and Weak Attractor Computation Embedded in Fast and Strong E-I Balanced Neural Dynamics
Xiaohan Lin, Liyuan Li, Boxin Shi et al.
SMACv2: An Improved Benchmark for Cooperative Multi-Agent Reinforcement Learning
Benjamin Ellis, Jonathan Cook, Skander Moalla et al.
Small batch deep reinforcement learning
Johan Obando Ceron, Marc Bellemare, Pablo Samuel Castro
Small Total-Cost Constraints in Contextual Bandits with Knapsacks, with Application to Fairness
Evgenii Chzhen, Christophe Giraud, Zhen LI et al.
SmooSeg: Smoothness Prior for Unsupervised Semantic Segmentation
Mengcheng Lan, Xinjiang Wang, Yiping Ke et al.
Smoothed Analysis of Sequential Probability Assignment
Alankrita Bhatt, Nika Haghtalab, Abhishek Shetty