Papers
Score-based Source Separation with Applications to Digital Communication Signals
Tejas Jayashankar, Gary C.F. Lee, Alejandro Lancho et al.
SE(3) Diffusion Model-based Point Cloud Registration for Robust 6D Object Pose Estimation
Haobo Jiang, Mathieu Salzmann, Zheng Dang et al.
SE(3) Equivariant Augmented Coupling Flows
Laurence Midgley, Vincent Stimper, Javier Antorán et al.
Searching for Optimal Per-Coordinate Step-sizes with Multidimensional Backtracking
Frederik Kunstner, Victor Sanches Portella, Mark Schmidt et al.
Secure Out-of-Distribution Task Generalization with Energy-Based Models
Shengzhuang Chen, Long-Kai Huang, Jonathan Richard Schwarz et al.
SEEDS: Exponential SDE Solvers for Fast High-Quality Sampling from Diffusion Models
Martin Gonzalez, Nelson Fernandez Pinto, Thuy Tran et al.
Seeing is not always believing: Benchmarking Human and Model Perception of AI-Generated Images
Zeyu Lu, Di Huang, LEI BAI et al.
Seeing is not Believing: Robust Reinforcement Learning against Spurious Correlation
Wenhao Ding, Laixi Shi, Yuejie Chi et al.
SEENN: Towards Temporal Spiking Early Exit Neural Networks
Yuhang Li, Tamar Geller, Youngeun Kim et al.
SEGA: Instructing Text-to-Image Models using Semantic Guidance
Manuel Brack, Felix Friedrich, Dominik Hintersdorf et al.
Segment Any Point Cloud Sequences by Distilling Vision Foundation Models
Youquan Liu, Lingdong Kong, Jun CEN et al.
Segment Anything in 3D with NeRFs
Jiazhong Cen, Zanwei Zhou, Jiemin Fang et al.
Segment Anything in High Quality
Lei Ke, Mingqiao Ye, Martin Danelljan et al.
Segment Everything Everywhere All at Once
Xueyan Zou, Jianwei Yang, Hao Zhang et al.
SegRefiner: Towards Model-Agnostic Segmentation Refinement with Discrete Diffusion Process
Mengyu Wang, Henghui Ding, Jun Hao Liew et al.
Selective Amnesia: A Continual Learning Approach to Forgetting in Deep Generative Models
Alvin Heng, Harold Soh
Selectively Sharing Experiences Improves Multi-Agent Reinforcement Learning
Matthias Gerstgrasser, Tom Danino, Sarah Keren
Selective Sampling and Imitation Learning via Online Regression
Ayush Sekhari, Karthik Sridharan, Wen Sun et al.
Selectivity Drives Productivity: Efficient Dataset Pruning for Enhanced Transfer Learning
Yihua Zhang, Yimeng Zhang, Aochuan Chen et al.
Self-Adaptive Motion Tracking against On-body Displacement of Flexible Sensors
Chengxu Zuo, Fang Jiawei, Shihui Guo et al.
Self-Chained Image-Language Model for Video Localization and Question Answering
Shoubin Yu, Jaemin Cho, Prateek Yadav et al.
Self-Consistent Velocity Matching of Probability Flows
Lingxiao Li, Samuel Hurault, Justin M Solomon
Self-Correcting Bayesian Optimization through Bayesian Active Learning
Carl Hvarfner, Erik Hellsten, Frank Hutter et al.
Self-Evaluation Guided Beam Search for Reasoning
Yuxi Xie, Kenji Kawaguchi, Yiran Zhao et al.
Self-Predictive Universal AI
Elliot Catt, Jordi Grau-Moya, Marcus Hutter et al.