Paper Papers
5,964 papers found • Page 39 of 120
Conference
Last-iterate Convergence in Regularized Graphon Mean Field Game
Jing Dong, Baoxiang Wang, Yaoliang Yu
Latent Diffusion-Enhanced Virtual Try-On via Optimized Pseudo-Label Generation
Chenghu Du, Junyin Wang, Feng Yu et al.
Latent Reward: LLM-Empowered Credit Assignment in Episodic Reinforcement Learning
Yun Qu, Yuhang Jiang, Boyuan Wang et al.
LATTE: Improving Latex Recognition for Tables and Formulae with Iterative Refinement
Nan Jiang, Shanchao Liang, Chengxiao Wang et al.
Laughing Together: A Pilot Study on the Role of Virtual Agents in Emotional Contagion, Conformity, and Opinion Shaping in a Virtual Stand-Up Comedy Club
Similde Mair, Fariba Mostajeran, Joan Llobera et al.
LawFlow: Collecting and Simulating Lawyers’ Thought Processes on Business Formation Case Studies
Debarati Das, Khanh Chi Le, Ritik Sachin Parkar et al.
Law of Vision Representation in MLLMs
Shijia Yang, Bohan Zhai, Quanzeng You et al.
LayerAct: Advanced Activation Mechanism for Robust Inference of CNNs
Kihyuk Yoon, Chiehyeon Lim
Layered-Parameter Perturbation for Zeroth-Order Optimization of Optical Neural Networks
Hiroshi Sawada, Kazuo Aoyama, Masaya Notomi
Layers at Similar Depths Generate Similar Activations Across LLM Architectures
Christopher Wolfram, Aaron Schein
Layerwise Importance Analysis of Feed-Forward Networks in Transformer-based Language Models
Wataru Ikeda, Kazuki Yano, Ryosuke Takahashi et al.
LazyDiT: Lazy Learning for the Acceleration of Diffusion Transformers
Xuan Shen, Zhao Song, Yufa Zhou et al.
LCGC: Learning from Consistency Gradient Conflicting for Class-Imbalanced Semi-Supervised Debiasing
Weiwei Xing, Yue Cheng, Hongzhu Yi et al.
LDP: Generalizing to Multilingual Visual Information Extraction by Language Decoupled Pretraining
Huawen Shen, Gengluo Li, Jinwen Zhong et al.
LeakAgent: RL-based Red-teaming Agent for LLM Privacy Leakage
Yuzhou Nie, Zhun Wang, Ye Yu et al.
Learn2Aggregate: Supervised Generation of Chvatal-Gomory Cuts Using Graph Neural Networks
Arnaud Deza, Elias B. Khalil, Zhenan Fan et al.
Learnability of Parameter-Bounded Bayes Nets
Arnab Bhattacharyya, Davin Choo, Sutanu Gayen et al.
Learned Image Transmission with Hierarchical Variational Autoencoder
Guangyi Zhang, Hanlei Li, Yunlong Cai et al.
Learn How to Query from Unlabeled Data Streams in Federated Learning
Yuchang Sun, Xinran Li, Tao Lin et al.
Learning 2D Invariant Affordance Knowledge for 3D Affordance Grounding
Xianqiang Gao, Pingrui Zhang, Delin Qu et al.
Learning Adaptive Parallel Reasoning with Language Models
Jiayi Pan, Xiuyu Li, Long Lian et al.
Learning by Teaching: Engaging Students as Instructors of Large Language Models in Computer Science Education
Xinming Yang, Haasil Pujara, Jun Li
Learning Causal Transition Matrix for Instance-dependent Label Noise
Jiahui Li, Tai-Wei Chang, Kun Kuang et al.
Learning Complex Heterogeneous Multimodal Fake News via Social Latent Network Inference
Mingxin Li, Yuchen Zhang, Haowei Xu et al.
Learning Complexity of Gradient Descent and Conjugate Gradient Algorithms
Xianqi Jiao, Jia Liu, Zhiping Chen
Learning Concept Prerequisite Relation via Global Knowledge Relation Optimization
Miao Zhang, Jiawei Wang, Kui Xiao et al.
Learning Cross-Domain Representations for Transferable Drug Perturbations on Single-Cell Transcriptional Responses
Hui Liu, Shikai Jin
Learning Deep Dissipative Dynamics
Yuji Okamoto, Ryosuke Kojima
Learning Disentangled Equivariant Representation for Explicitly Controllable 3D Molecule Generation
Haoran Liu, Youzhi Luo, Tianxiao Li et al.
Learning Dynamic Similarity by Bidirectional Hierarchical Sliding Semantic Probe for Efficient Text Video Retrieval
Yang Liu, Shudong Huang, Deng Xiong et al.
Learning Effective Language Representations for Sequential Recommendation via Joint Embedding Predictive Architecture
Nguyen Anh Minh, Dung D. Le
Learning Fine-Grained Alignment for Aerial Vision-Dialog Navigation
Yifei Su, Dong An, Kehan Chen et al.
Learning Fine-grained Domain Generalization via Hyperbolic State Space Hallucination
Qi Bi, Jingjun Yi, Haolan Zhan et al.
Learning from Mistakes: Self-correct Adversarial Training for Chinese Unnatural Text Correction
Xuan Feng, Tianlong Gu, Xiaoli Liu et al.
Learning from Noisy Labels via Self-Taught On-the-Fly Meta Loss Rescaling
Michael Heck, Christian Geishauser, Nurul Lubis et al.
Learning from Summarized Data: Gaussian Process Regression with Sample Quasi-Likelihood
Yuta Shikuri
Learning Generalized Residual Exchange-Correlation-Uncertain Functional for Density Functional Theory
Sizhuo Jin, Shuo Chen, Jianjun Qian et al.
Learning Joint Behaviors with Large Variations
Tianxu Li, Kun Zhu
Learning Local Neighborhoods of Non-Gaussian Graphical Models
Sarah Liaw, Rebecca Morrison, Youssef Marzouk et al.
Learning More Expressive General Policies for Classical Planning Domains
Simon Ståhlberg, Blai Bonet, Hector Geffner
Learning Multiple User Distributions for Recommendation via Guided Conditional Diffusion
Cheng Wu, Liang Su, Chaokun Wang et al.
Learning Nash Equilibrium of Markov Potential Games with a Shared Constraint via Primal-Dual Optimization
Songtao Feng, Michael Dorothy, Jie Fu
Learning Optimal Auctions with Correlated Value Distributions
Da Huo, Zhenzhe Zheng, Fan Wu
Learning Personalized Decision Support Policies
Umang Bhatt, Valerie Chen, Katherine M. Collins et al.
Learning Physics Informed Neural ODEs with Partial Measurements
Paul Ghanem, Ahmet Demirkaya, Tales Imbiriba et al.
Learning Regularization for Graph Inverse Problems
Moshe Eliasof, Md Shahriar Rahim Siddiqui, Carola-Bibiane Schönlieb et al.
Learning Robust and Privacy-Preserving Representations via Information Theory
Binghui Zhang, Sayedeh Leila Noorbakhsh, Yun Dong et al.
Learning Set Functions with Implicit Differentiation
Gözde Özcan, Chengzhi Shi, Stratis Ioannidis
Learning Strategy Representation for Imitation Learning in Multi-Agent Games
Shiqi Lei, Kanghoon Lee, Linjing Li et al.
Learning Structural Causal Models from Ordering: Identifiable Flow Models
Minh Khoa Le, Kien Do, Truyen Tran