Poster Papers
24,624 papers found • Page 150 of 493
Conference
Last Iterate Convergence in Monotone Mean Field Games
Noboru Isobe, Kenshi Abe, Kaito Ariu
Last Iterate Convergence of Incremental Methods as a Model of Forgetting
Xufeng Cai, Jelena Diakonikolas
Last-Iterate Convergence of Smooth Regret Matching$^+$ Variants in Learning Nash Equilibria
Linjian Meng, Youzhi Zhang, Zhenxing Ge et al.
Last-Iterate Convergence Properties of Regret-Matching Algorithms in Games
Yang Cai, Gabriele Farina, Julien Grand-Clément et al.
LAST SToP for Modeling Asynchronous Time Series
Shubham Gupta, Thibaut Durand, Graham Taylor et al.
Latency NMS Attacks: Is It Real Life or Is It Just Fantasy?
Jean-Philippe Monteuuis, Cong Chen, Jonathan Petit
Latent Action Learning Requires Supervision in the Presence of Distractors
Alexander Nikulin, Ilya Zisman, Denis Tarasov et al.
Latent Action Pretraining from Videos
Seonghyeon Ye, Joel Jang, Byeongguk Jeon et al.
Latent Bayesian Optimization via Autoregressive Normalizing Flows
Seunghun Lee, Jinyoung Park, Jaewon Chu et al.
Latent Chain-of-Thought for Visual Reasoning
Guohao Sun, Hang Hua, Jian Wang et al.
Latent Diffusion Models with Masked AutoEncoders
Junho Lee, Jeongwoo Shin, Hyungwook Choi et al.
Latent-EnSF: A Latent Ensemble Score Filter for High-Dimensional Data Assimilation with Sparse Observation Data
Phillip Si, Peng Chen
Latent Expression Generation for Referring Image Segmentation and Grounding
Seonghoon Yu, Junbeom Hong, Joonseok Lee et al.
Latent Harmony: Synergistic Unified UHD Image Restoration via Latent Space Regularization and Controllable Refinement
Yidi Liu, Xueyang Fu, Jie Huang et al.
LatentHOI: On the Generalizable Hand Object Motion Generation with Latent Hand Diffusion.
Muchen Li, Sammy Christen, Chengde Wan et al.
Latent Imputation before Prediction: A New Computational Paradigm for De Novo Peptide Sequencing
Ye DU, Chen Yang, Nanxi Yu et al.
Latent Mamba Operator for Partial Differential Equations
Karn Tiwari, Niladri Dutta, N M Anoop Krishnan et al.
Latent Preference Coding: Aligning Large Language Models via Discrete Latent Codes
Zhuocheng Gong, Jian Guan, Wei Wu et al.
Latent Radiance Fields with 3D-aware 2D Representations
Chaoyi Zhou, Xi Liu, Feng Luo et al.
Latent Refinement via Flow Matching for Training-free Linear Inverse Problem Solving
Hossein Askari, Yadan Luo, Hongfu Sun et al.
Latent-Reframe: Enabling Camera Control for Video Diffusion Models without Training
Zhenghong Zhou, Jie An, Jiebo Luo
Latent Retrieval Augmented Generation of Cross-Domain Protein Binders
Zishen Zhang, Xiangzhe Kong, Wenbing Huang et al.
Latent Safety-Constrained Policy Approach for Safe Offline Reinforcement Learning
Prajwal Koirala, Zhanhong Jiang, Soumik Sarkar et al.
Latent Score-Based Reweighting for Robust Classification on Imbalanced Tabular Data
Yunze Tong, Fengda Zhang, Zihao Tang et al.
Latent Space Chain-of-Embedding Enables Output-free LLM Self-Evaluation
Yiming Wang, Pei Zhang, Baosong Yang et al.
Latent Space Factorization in LoRA
Shashi Kumar, Yacouba Kaloga, John Mitros et al.
Latent Space Imaging
Matheus Souza, Yidan Zheng, Kaizhang Kang et al.
Latent Space Super-Resolution for Higher-Resolution Image Generation with Diffusion Models
Jinho Jeong, Sangmin Han, Jinwoo Kim et al.
Latent Swap Joint Diffusion for 2D Long-Form Latent Generation
Yusheng Dai, Chenxi Wang, Chang Li et al.
Latent Thought Models with Variational Bayes Inference-Time Computation
Deqian Kong, Minglu Zhao, Dehong Xu et al.
Latent Variable Causal Discovery under Selection Bias
Haoyue Dai, Yiwen Qiu, Ignavier Ng et al.
Latent Variable Estimation in Bayesian Black-Litterman Models
Thomas Y.L. Lin, Jerry Yao-Chieh Hu, Wan-Jiun Paul Chiou et al.
Latent Zoning Network: A Unified Principle for Generative Modeling, Representation Learning, and Classification
Zinan Lin, Enshu Liu, Xuefei Ning et al.
LATINO-PRO: LAtent consisTency INverse sOlver with PRompt Optimization
Alessio Spagnoletti, Jean Prost, Andres Almansa et al.
Latte: Collaborative Test-Time Adaptation of Vision-Language Models in Federated Learning
Wenxuan Bao, Ruxi Deng, Ruizhong Qiu et al.
LATTE-MV: Learning to Anticipate Table Tennis Hits from Monocular Videos
Daniel Etaat, Dvij Rajesh Kalaria, Nima Rahmanian et al.
LAuReL: Learned Augmented Residual Layer
Gaurav Menghani, Ravi Kumar, Sanjiv Kumar
LaVin-DiT: Large Vision Diffusion Transformer
Zhaoqing Wang, Xiaobo Xia, Runnan Chen et al.
LawDIS: Language-Window-based Controllable Dichotomous Image Segmentation
Xinyu Yan, Meijun Sun, Ge-Peng Ji et al.
Lawma: The Power of Specialization for Legal Annotation
Ricardo Dominguez-Olmedo, Vedant Nanda, Rediet Abebe et al.
Law of the Weakest Link: Cross Capabilities of Large Language Models
Ming Zhong, Aston Zhang, Xuewei Wang et al.
LawShift: Benchmarking Legal Judgment Prediction Under Statute Shifts
Zhuo Han, Yi Yang, Yi Feng et al.
LaX: Boosting Low-Rank Training of Foundation Models via Latent Crossing
Ruijie (Ray) Zhang, Ziyue (Alvin) Liu, Zhengyang Wang et al.
Lay2Story: Extending Diffusion Transformers for Layout-Togglable Story Generation
Ao Ma, Jiasong Feng, Ke Cao et al.
Layer- and Timestep-Adaptive Differentiable Token Compression Ratios for Efficient Diffusion Transformers
Haoran You, Connelly Barnes, Yuqian Zhou et al.
LayerAnimate: Layer-level Control for Animation
Yuxue Yang, Lue Fan, Zuzeng Lin et al.
Layer as Puzzle Pieces: Compressing Large Language Models through Layer Concatenation
Fei Wang, Li Shen, Liang Ding et al.
LayerCraft: Enhancing Text-to-Image Generation with CoT Reasoning and Layered Object Integration
Yuyao Zhang, Jinghao Li, Yu-Wing Tai
LayerDAG: A Layerwise Autoregressive Diffusion Model for Directed Acyclic Graph Generation
Mufei Li, Viraj Shitole, Eli Chien et al.
LayerD: Decomposing Raster Graphic Designs into Layers
Tomoyuki Suzuki, Kang-Jun Liu, Naoto Inoue et al.