All Papers
34,598 papers found • Page 576 of 692
Conference
Locality-Sensitive Hashing-Based Efficient Point Transformer with Applications in High-Energy Physics
Siqi Miao, Zhiyuan Lu, Mia Liu et al.
Locality Sensitive Sparse Encoding for Learning World Models Online
Zichen Liu, Chao Du, Wee Sun Lee et al.
Localization and Expansion: A Decoupled Framework for Point Cloud Few-shot Semantic Segmentation
Zhaoyang Li, Yuan Wang, Wangkai Li et al.
Localization Is All You Evaluate: Data Leakage in Online Mapping Datasets and How to Fix It
Adam Lilja, Junsheng Fu, Erik Stenborg et al.
Localizing and Editing Knowledge In Text-to-Image Generative Models
Samyadeep Basu, Nanxuan Zhao, Vlad Morariu et al.
Localizing Task Information for Improved Model Merging and Compression
Ke Wang, Nikolaos Dimitriadis, Guillermo Ortiz-Jimenez et al.
Locally Adaptive Neural 3D Morphable Models
Michail Tarasiou, Rolandos Alexandros Potamias, Eimear O' Sullivan et al.
Locally Differentially Private Decentralized Stochastic Bilevel Optimization with Guaranteed Convergence Accuracy
Ziqin Chen, Yongqiang Wang
Locally Estimated Global Perturbations are Better than Local Perturbations for Federated Sharpness-aware Minimization
Ziqing Fan, Shengchao Hu, Jiangchao Yao et al.
Locally Interdependent Multi-Agent MDP: Theoretical Framework for Decentralized Agents with Dynamic Dependencies
Alex DeWeese, Guannan Qu
Locally Rainbow Paths
Till Fluschnik, Leon Kellerhals, Malte Renken
Local Occupancy-Enhanced Object Grasping with Multiple Triplanar Projection
Kangqi Ma, Hao Dong, Yadong Mu
Local Search GFlowNets
Minsu Kim, Yun Taeyoung, Emmanuel Bengio et al.
Local vs. Global Interpretability: A Computational Complexity Perspective
Shahaf Bassan, Guy Amir, Guy Katz
LocLLM: Exploiting Generalizable Human Keypoint Localization via Large Language Model
Dongkai Wang, shiyu xuan, Shiliang Zhang
LoCoCo: Dropping In Convolutions for Long Context Compression
Ruisi Cai, Yuandong Tian, Zhangyang “Atlas” Wang et al.
LoCoNet: Long-Short Context Network for Active Speaker Detection
Xizi Wang, Feng Cheng, Gedas Bertasius
Lodge: A Coarse to Fine Diffusion Network for Long Dance Generation Guided by the Characteristic Dance Primitives
Ronghui Li, Yuxiang Zhang, Yachao Zhang et al.
LoftQ: LoRA-Fine-Tuning-aware Quantization for Large Language Models
Yixiao Li, Yifan Yu, Chen Liang et al.
Logarithmic Lenses: Exploring Log RGB Data for Image Classification
Bruce Maxwell, Sumegha Singhania, Avnish Patel et al.
LogFormer: A Pre-train and Tuning Pipeline for Log Anomaly Detection
hongcheng Guo, Jian Yang, Jiaheng Liu et al.
Logical Languages Accepted by Transformer Encoders with Hard Attention
Pablo Barcelo, Alexander Kozachinskiy, Anthony W. Lin et al.
LogicMP: A Neuro-symbolic Approach for Encoding First-order Logic Constraints
Weidi Xu, Jingwei Wang, Lele Xie et al.
Login
Login
Logistic Variational Bayes Revisited
Michael Komodromos, Marina Evangelou, Sarah Filippi
Logit Standardization in Knowledge Distillation
Shangquan Sun, Wenqi Ren, Jingzhi Li et al.
Log Neural Controlled Differential Equations: The Lie Brackets Make A Difference
Benjamin Walker, Andrew McLeod, Tiexin QIN et al.
LogoSticker: Inserting Logos into Diffusion Models for Customized Generation
Mingkang Zhu, Xi Chen, Zhongdao Wang et al.
LogoStyleFool: Vitiating Video Recognition Systems via Logo Style Transfer
Yuxin Cao, Ziyu Zhao, Xi Xiao et al.
Long-CLIP: Unlocking the Long-Text Capability of CLIP
Beichen Zhang, Pan Zhang, Xiaoyi Dong et al.
Long Is More for Alignment: A Simple but Tough-to-Beat Baseline for Instruction Fine-Tuning
Hao Zhao, Maksym Andriushchenko, Francesco Croce et al.
Longitudinal Targeted Minimum Loss-based Estimation with Temporal-Difference Heterogeneous Transformer
Toru Shirakawa, Yi Li, Yulun Wu et al.
LongLoRA: Efficient Fine-tuning of Long-Context Large Language Models
Yukang Chen, Shengju Qian, Haotian Tang et al.
Long Range Propagation on Continuous-Time Dynamic Graphs
Alessio Gravina, Giulio Lovisotto, Claudio Gallicchio et al.
Long-range Turbulence Mitigation: A Large-scale Dataset and A Coarse-to-fine Framework
Shengqi Xu, Run Sun, Yi Chang et al.
LongRoPE: Extending LLM Context Window Beyond 2 Million Tokens
Yiran Ding, Li Lyna Zhang, Chengruidong Zhang et al.
Long-Short-Range Message-Passing: A Physics-Informed Framework to Capture Non-Local Interaction for Scalable Molecular Dynamics Simulation
Yunyang Li, Yusong Wang, Lin Huang et al.
Long-Tail Class Incremental Learning via Independent Sub-prototype Construction
Xi Wang, Xu Yang, Jie Yin et al.
Long-Tailed Anomaly Detection with Learnable Class Names
Chih-Hui Ho, Kuan-Chuan Peng, Nuno Vasconcelos
Long-tailed Diffusion Models with Oriented Calibration
Tianjiao Zhang, Huangjie Zheng, Jiangchao Yao et al.
Long-Tailed Learning as Multi-Objective Optimization
Weiqi Li, Fan Lyu, Fanhua Shang et al.
Long-Tailed Partial Label Learning by Head Classifier and Tail Classifier Cooperation
10576 Yuheng Jia, Xiaorui Peng, Ran Wang et al.
Long-Tail Learning with Foundation Model: Heavy Fine-Tuning Hurts
Jiang-Xin Shi, Tong Wei, Zhi Zhou et al.
Long-Tail Temporal Action Segmentation with Group-wise Temporal Logit Adjustment
Zhanzhong Pang, Fadime Sener, Shrinivas Ramasubramanian et al.
Long-term Temporal Context Gathering for Neural Video Compression
Linfeng Qi, Zhaoyang Jia, Jiahao Li et al.
Long-Term Typhoon Trajectory Prediction: A Physics-Conditioned Approach Without Reanalysis Data
Young-Jae Park, Minseok Seo, Doyi Kim et al.
LongVLM: Efficient Long Video Understanding via Large Language Models
Yuetian Weng, Mingfei Han, Haoyu He et al.
Lookahead Exploration with Neural Radiance Representation for Continuous Vision-Language Navigation
Zihan Wang, Xiangyang Li, Jiahao Yang et al.
Look Ahead or Look Around? A Theoretical Comparison Between Autoregressive and Masked Pretraining
Qi Zhang, Tianqi Du, Haotian Huang et al.