Papers
Simplifying Constraint Inference with Inverse Reinforcement Learning
Adriana Hugessen, Harley Wiltzer, Glen Berseth
Simplifying Latent Dynamics with Softly State-Invariant World Models
Tankred Saanum, Peter Dayan, Eric Schulz
SimPO: Simple Preference Optimization with a Reference-Free Reward
Yu Meng, Mengzhou Xia, Danqi Chen
Simulation-Free Training of Neural ODEs on Paired Data
Semin Kim, Jaehoon Yoo, Jinwoo Kim et al.
SimVG: A Simple Framework for Visual Grounding with Decoupled Multi-modal Fusion
Ming Dai, Lingfeng Yang, Yihao Xu et al.
Single Image Reflection Separation via Dual-Stream Interactive Transformers
Qiming Hu, Hainuo Wang, Xiaojie Guo
Single Image Unlearning: Efficient Machine Unlearning in Multimodal Large Language Models
Jiaqi Li, Qianshan Wei, Chuanyi Zhang et al.
Single-Loop Stochastic Algorithms for Difference of Max-Structured Weakly Convex Functions
Quanqi Hu, Qi Qi, Zhaosong Lu et al.
SIRIUS : Contexual Sparisty with Correction for Efficient LLMs
Yang Zhou, Zhuoming Chen, Zhaozhuo Xu et al.
Sketched Lanczos uncertainty score: a low-memory summary of the Fisher information
Marco Miani, Lorenzo Beretta, Søren Hauberg
Sketching for Distributed Deep Learning: A Sharper Analysis
Mayank Shrivastava, Berivan Isik, Qiaobo Li et al.
Sketchy Moment Matching: Toward Fast and Provable Data Selection for Finetuning
Yijun Dong, Hoang Phan, Xiang Pan et al.
SkiLD: Unsupervised Skill Discovery Guided by Factor Interactions
Zizhao Wang, Jiaheng Hu, Caleb Chuck et al.
Skill-aware Mutual Information Optimisation for Zero-shot Generalisation in Reinforcement Learning
Xuehui Yu, Mhairi Dunion, Xin Li et al.
Skinned Motion Retargeting with Dense Geometric Interaction Perception
Zijie Ye, Jia-Wei Liu, Jia Jia et al.
SkipPredict: When to Invest in Predictions for Scheduling
Rana Shahout, Michael Mitzenmacher
Slack-Free Spiking Neural Network Formulation for Hypergraph Minimum Vertex Cover
Tam Ngoc-Bang Nguyen, Anh-Dzung Doan, Zhipeng Cai et al.
SLED: Self Logits Evolution Decoding for Improving Factuality in Large Language Models
Jianyi Zhang, Da-Cheng Juan, Cyrus Rashtchian et al.
SleeperNets: Universal Backdoor Poisoning Attacks Against Reinforcement Learning Agents
Ethan Rathbun, Christopher Amato, Alina Oprea
Slice-100K: A Multimodal Dataset for Extrusion-based 3D Printing
Anushrut Jignasu, Kelly O. Marshall, Ankush Kumar Mishra et al.
Slicing Vision Transformer for Flexible Inference
Yitian Zhang, Huseyin Coskun, Xu Ma et al.
Slight Corruption in Pre-training Data Makes Better Diffusion Models
Hao Chen, Yujin Han, Diganta Misra et al.
SlimGPT: Layer-wise Structured Pruning for Large Language Models
Gui Ling, Ziyang Wang, Yuliang Yan et al.
SlimSAM: 0.1% Data Makes Segment Anything Slim
Zigeng Chen, Gongfan Fang, Xinyin Ma et al.
SLIM: Style-Linguistics Mismatch Model for Generalized Audio Deepfake Detection
Yi Zhu, Surya Koppisetti, Trang Tran et al.