Papers
11,955 papers found
Statistical Perspective of Top-K Sparse Softmax Gating Mixture of Experts
Huy Nguyen, Pedram Akbarian, Fanqi Yan et al.
Statistical Rejection Sampling Improves Preference Optimization
Tianqi Liu, Yao Zhao, Rishabh Joshi et al.
Steve-Eye: Equipping LLM-based Embodied Agents with Visual Perception in Open Worlds
Sipeng Zheng, jiazheng liu, Yicheng Feng et al.
Stochastic Controlled Averaging for Federated Learning with Communication Compression
Xinmeng Huang, Ping Li, Xiaoyun Li
Stochastic Gradient Descent for Gaussian Processes Done Right
Jihao Andreas Lin, Shreyas Padhy, Javier Antoran et al.
Stochastic Modified Equations and Dynamics of Dropout Algorithm
Zhongwang Zhang, Yuqing Li, Tao Luo et al.
Str2Str: A Score-based Framework for Zero-shot Protein Conformation Sampling
Jiarui Lu, Bozitao Zhong, Zuobai Zhang et al.
Strategic Preys Make Acute Predators: Enhancing Camouflaged Object Detectors by Generating Camouflaged Objects
Chunming He, Kai Li, Yachao Zhang et al.
STREAM: Spatio-TempoRal Evaluation and Analysis Metric for Video Generative Models
Pum Jun Kim, Seojun Kim, Jaejun Yoo
StructComp: Substituting propagation with Structural Compression in Training Graph Contrastive Learning
Shengzhong Zhang, Wenjie Yang, Xinyuan Cao et al.
Structural Estimation of Partially Observed Linear Non-Gaussian Acyclic Model: A Practical Approach with Identifiability
Songyao Jin, Feng Xie, Guangyi Chen et al.
Structural Fairness-aware Active Learning for Graph Neural Networks
Haoyu Han, Xiaorui Liu, Li Ma et al.
Structural Inference with Dynamics Encoding and Partial Correlation Coefficients
Aoran Wang, Jun Pang
Structured Video-Language Modeling with Temporal Grouping and Spatial Grounding
Yuanhao Xiong, Long Zhao, Boqing Gong et al.
Structuring Representation Geometry with Rotationally Equivariant Contrastive Learning
Sharut Gupta, Joshua Robinson, Derek Lim et al.
Stylized Offline Reinforcement Learning: Extracting Diverse High-Quality Behaviors from Heterogeneous Datasets
Yihuan Mao, Chengjie Wu, Xi Chen et al.
Submodular Reinforcement Learning
Manish Prajapat, Mojmir Mutny, Melanie Zeilinger et al.
Subtractive Mixture Models via Squaring: Representation and Learning
Lorenzo Loconte, Aleksanteri Mikulus Sladek, Stefan Mengel et al.
Successor Heads: Recurring, Interpretable Attention Heads In The Wild
Rhys Gould, Euan Ong, George Ogden et al.
Sudden Drops in the Loss: Syntax Acquisition, Phase Transitions, and Simplicity Bias in MLMs
Angelica Chen, Ravid Shwartz-Ziv, Kyunghyun Cho et al.
Sufficient conditions for offline reactivation in recurrent neural networks
Nanda H Krishna, Colin Bredenberg, Daniel Levenstein et al.
SUMix: Mixup with Semantic and Uncertain Information
Huafeng Qin, Xin Jin, Hongyu Zhu et al.
Sum-Product-Set Networks: Deep Tractable Models for Tree-Structured Graphs
Milan Papez, Martin Rektoris, Vaclav Smidl et al.
SuperFedNAS: Cost-Efficient Federated Neural Architecture Search for On-Device Inference
Alind Khare, Animesh Agrawal, Aditya Annavajjala et al.
Supervised Knowledge Makes Large Language Models Better In-context Learners
Linyi Yang, Shuibai Zhang, Zhuohao Yu et al.