Papers
11,015 papers found
Segment Any 3D Object with Language
Seungjun Lee, Yuyang Zhao, Gim Hee Lee
Select before Act: Spatially Decoupled Action Repetition for Continuous Control
Buqing Nie, Yangqing Fu, Yue Gao
SelectFormer in Data Markets: Privacy-Preserving and Efficient Data Selection for Transformers with Multi-Party Computation
Xu Ouyang, Felix Xiaozhu Lin, Yangfeng Ji
Selective Aggregation for Low-Rank Adaptation in Federated Learning
Pengxin Guo, Shuang Zeng, Yanran Wang et al.
Selective Attention Improves Transformer
Yaniv Leviathan, Matan Kalman, Yossi Matias
Selective Induction Heads: How Transformers Select Causal Structures in Context
Francesco D'Angelo, Francesco Croce, Nicolas Flammarion
Selective Label Enhancement Learning for Test-Time Adaptation
Yihao Hu, Congyu Qiao, Xin Geng et al.
Selective Task Group Updates for Multi-Task Optimization
Wooseong Jeong, Kuk-Jin Yoon
Selective Unlearning via Representation Erasure Using Domain Adversarial Training
Nazanin Mohammadi Sepahvand, Eleni Triantafillou, Hugo Larochelle et al.
Self-Attention-Based Contextual Modulation Improves Neural System Identification
Isaac Lin, Tianye Wang, Shang Gao et al.
Self-Boosting Large Language Models with Synthetic Preference Data
Qingxiu Dong, Li Dong, Xingxing Zhang et al.
Self-Correcting Decoding with Generative Feedback for Mitigating Hallucinations in Large Vision-Language Models
Ce Zhang, Zifu Wan, Zhehan Kan et al.
SELF-EVOLVED REWARD LEARNING FOR LLMS
Chenghua Huang, Zhizhen Fan, Lu Wang et al.
Self-Evolving Multi-Agent Collaboration Networks for Software Development
Yue Hu, Yuzhu Cai, Yaxin Du et al.
Self-Improvement in Language Models: The Sharpening Mechanism
Audrey Huang, Adam Block, Dylan J Foster et al.
Self-Improving Robust Preference Optimization
Eugene Choi, Arash Ahmadian, Matthieu Geist et al.
Self-Introspective Decoding: Alleviating Hallucinations for Large Vision-Language Models
Fushuo Huo, Wenchao Xu, Zhong Zhang et al.
Self-MoE: Towards Compositional Large Language Models with Self-Specialized Experts
Junmo Kang, Leonid Karlinsky, Hongyin Luo et al.
Self-Normalized Resets for Plasticity in Continual Learning
Vivek Farias, Adam Daniel Jozefiak
Self-Play Preference Optimization for Language Model Alignment
Yue Wu, Zhiqing Sun, Huizhuo Yuan et al.
Self-play with Execution Feedback: Improving Instruction-following Capabilities of Large Language Models
Guanting Dong, Keming Lu, Chengpeng Li et al.
Self-supervised contrastive learning performs non-linear system identification
Rodrigo González Laiz, Tobias Schmidt, Steffen Schneider
Self-Supervised Diffusion Models for Electron-Aware Molecular Representation Learning
Gyoung S. Na, Chanyoung Park
Self-Supervised Diffusion MRI Denoising via Iterative and Stable Refinement
Chenxu Wu, Qingpeng Kong, Zihang Jiang et al.
Self-supervised Monocular Depth Estimation Robust to Reflective Surface Leveraged by Triplet Mining
Wonhyeok Choi, Kyumin Hwang, Wei Peng et al.