ICML Papers
5,975 papers found • Page 35 of 120
LightGTS: A Lightweight General Time Series Forecasting Model
Yihang Wang, Yuying Qiu, Peng Chen et al.
LightningDrag: Lightning Fast and Accurate Drag-based Image Editing Emerging from Videos
Yujun Shi, Jun Hao Liew, Hanshu Yan et al.
Lightspeed Geometric Dataset Distance via Sliced Optimal Transport
Khai Nguyen, Hai Nguyen, Tuan Pham et al.
Lightweight Dataset Pruning without Full Training via Example Difficulty and Prediction Uncertainty
Yeseul Cho, Baekrok Shin, Changmin Kang et al.
Lightweight-Mark: Rethinking Deep Learning-Based Watermarking
Yupeng Qiu, Han Fang, Ee-Chien Chang
Lightweight Online Adaption for Time Series Foundation Model Forecasts
Thomas Lee, William Toner, Rajkarn Singh et al.
Lightweight Protocols for Distributed Private Quantile Estimation
Anders Aamand, Fabrizio Boninsegna, Abigail Gentle et al.
LIMEFLDL: A Local Interpretable Model-Agnostic Explanations Approach for Label Distribution Learning
Xiuyi Jia, Jinchi Li, Yunan Lu et al.
Limitations of measure-first protocols in quantum machine learning
Casper Gyurik, Riccardo Molteni, Vedran Dunjko
Linear $Q$-Learning Does Not Diverge in $L^2$: Convergence Rates to a Bounded Set
Xinyu Liu, Zixuan Xie, Shangtong Zhang
Linear Bandits with Partially Observable Features
Wonyoung Kim, Sungwoo PARK, Garud Iyengar et al.
Linear Contextual Bandits With Interference
Yang Xu, Wenbin Lu, Rui Song
Linear convergence of Sinkhorn's algorithm for generalized static Schrödinger bridge
Rahul Choudhary, Hanbaek Lyu
Linearization Turns Neural Operators into Function-Valued Gaussian Processes
Emilia Magnani, Marvin Pförtner, Tobias Weber et al.
Linear Mode Connectivity between Multiple Models modulo Permutation Symmetries
Akira Ito, Masanori Yamada, Atsutoshi Kumagai
Linear Transformers as VAR Models: Aligning Autoregressive Attention Mechanisms with Autoregressive Forecasting
Jiecheng Lu, Shihao Yang
LineFlow: A Framework to Learn Active Control of Production Lines
Kai Müller, Martin Wenzel, Tobias Windisch
LipsNet++: Unifying Filter and Controller into a Policy Network
Xujie Song, Liangfa Chen, Tong Liu et al.
LIVS: A Pluralistic Alignment Dataset for Inclusive Public Spaces
Rashid Mushkani, Perampalli Shravan Nayak, Hugo Berard et al.
LlavaGuard: An Open VLM-based Framework for Safeguarding Vision Datasets and Models
Lukas Helff, Felix Friedrich, Manuel Brack et al.
LLaVA-ReID: Selective Multi-image Questioner for Interactive Person Re-Identification
Yiding Lu, Mouxing Yang, Dezhong Peng et al.
LLM Alignment as Retriever Optimization: An Information Retrieval Perspective
Bowen Jin, Jinsung Yoon, Zhen Qin et al.
LLM-Assisted Semantically Diverse Teammate Generation for Efficient Multi-agent Coordination
Lihe Li, lei yuan, Pengsen Liu et al.
LLM-Augmented Chemical Synthesis and Design Decision Programs
Haorui Wang, Jeff Guo, Lingkai Kong et al.
LLM Data Selection and Utilization via Dynamic Bi-level Optimization
Yang Yu, Kai Han, Hang Zhou et al.
LLM Enhancers for GNNs: An Analysis from the Perspective of Causal Mechanism Identification
Hang Gao, Huang Wenxuan, Fengge Wu et al.
LLMScan: Causal Scan for LLM Misbehavior Detection
Mengdi Zhang, Goh Kiat, Peixin Zhang et al.
LLMs Can Reason Faster Only If We Let Them
Bilgehan Sel, Lifu Huang, Naren Ramakrishnan et al.
LLMs can see and hear without any training
Kumar Ashutosh, Yossi Gandelsman, Xinlei Chen et al.
LLMs on the Line: Data Determines Loss-to-Loss Scaling Laws
Prasanna Mayilvahanan, Thaddäus Wiedemer, Sayak Mallick et al.
LLM-SRBench: A New Benchmark for Scientific Equation Discovery with Large Language Models
Parshin Shojaee, Ngoc Hieu Nguyen, Kazem Meidani et al.
LMAct: A Benchmark for In-Context Imitation Learning with Long Multimodal Demonstrations
Anian Ruoss, Fabio Pardo, Harris Chan et al.
LMRL Gym: Benchmarks for Multi-Turn Reinforcement Learning with Language Models
Marwa Abdulhai, Isadora White, Charlie Snell et al.
LOB-Bench: Benchmarking Generative AI for Finance - an Application to Limit Order Book Data
Peer Nagy, Sascha Frey, Kang Li et al.
Local Identifying Causal Relations in the Presence of Latent Variables
Zheng Li, Zeyu Liu, Feng Xie et al.
Locality Preserving Markovian Transition for Instance Retrieval
Jifei Luo, Wenzheng Wu, Hantao Yao et al.
Local Manifold Approximation and Projection for Manifold-Aware Diffusion Planning
Kyowoon Lee, Jaesik Choi
Local Pan-privacy for Federated Analytics
Vitaly Feldman, Audra McMillan, Guy Rothblum et al.
LOCATE 3D: Real-World Object Localization via Self-Supervised Learning in 3D
Paul McVay, Sergio Arnaud, Ada Martin et al.
Locate-then-edit for Multi-hop Factual Recall under Knowledge Editing
Zhuoran Zhang, Yongxiang Li, Zijian Kan et al.
Logarithmic Regret for Online KL-Regularized Reinforcement Learning
Heyang Zhao, Chenlu Ye, Wei Xiong et al.
Login
I. Arce, Emiliano Kargieman, G. Richarte et al.
Logits are All We Need to Adapt Closed Models
Gaurush Hiranandani, Haolun Wu, Subhojyoti Mukherjee et al.
LOGO --- Long cOntext aliGnment via efficient preference Optimization
Zecheng Tang, Zechen Sun, Juntao Li et al.
Log-Sum-Exponential Estimator for Off-Policy Evaluation and Learning
Armin Behnamnia, Gholamali Aminian, Alireza Aghaei et al.
Long-Form Speech Generation with Spoken Language Models
Se Jin Park, Julian Salazar, Aren Jansen et al.
LongRoPE2: Near-Lossless LLM Context Window Scaling
Ning Shang, Li Lyna Zhang, Siyuan Wang et al.
Long-Short Alignment for Effective Long-Context Modeling in LLMs
Tianqi Du, Haotian Huang, Yifei Wang et al.
Long-Term TalkingFace Generation via Motion-Prior Conditional Diffusion Model
SHEN FEI, Cong Wang, Junyao Gao et al.
LongVU: Spatiotemporal Adaptive Compression for Long Video-Language Understanding
Xiaoqian Shen, Yunyang Xiong, Changsheng Zhao et al.