ICML Papers
5,975 papers found • Page 32 of 120
LangDAug: Langevin Data Augmentation for Multi-Source Domain Generalization in Medical Image Segmentation
Piyush Lalitkumar Tiwary, Kinjawl Bhattacharyya, Prathosh AP
LangTime: A Language-Guided Unified Model for Time Series Forecasting with Proximal Policy Optimization
Wenzhe Niu, Zongxia Xie, Yanru Sun et al.
Language Models as Implicit Tree Search
Ziliang Chen, Zhao-Rong Lai, Yufeng Yang et al.
Language Models May Verbatim Complete Text They Were Not Explicitly Trained On
Ken Ziyu Liu, Christopher A. Choquette Choo, Matthew Jagielski et al.
Language Models over Canonical Byte-Pair Encodings
Tim Vieira, Tianyu Liu, Clemente Pasti et al.
Laplace Transform Based Low-Complexity Learning of Continuous Markov Semigroups
Vladimir Kostic, Karim Lounici, Hélène Halconruy et al.
LapSum - One Method to Differentiate Them All: Ranking, Sorting and Top-k Selection
Łukasz Struski, Michal Bednarczyk, Igor Podolak et al.
LaRA: Benchmarking Retrieval-Augmented Generation and Long-Context LLMs – No Silver Bullet for LC or RAG Routing
Kuan Li, Liwen Zhang, Yong Jiang et al.
Large Continual Instruction Assistant
Jingyang Qiao, zhizhong zhang, Xin Tan et al.
Large Displacement Motion Transfer with Unsupervised Anytime Interpolation
Guixiang Wang, Jianjun Li
Large Language-Geometry Model: When LLM meets Equivariance
Zongzhao Li, Jiacheng Cen, Bing Su et al.
Large Language Model-driven Large Neighborhood Search for Large-Scale MILP Problems
Huigen Ye, Hua Xu, An Yan et al.
Large Language Models are Demonstration Pre-Selectors for Themselves
Jiarui Jin, Yuwei Wu, Haoxuan Li et al.
Large Language Models to Diffusion Finetuning
Edoardo Cetin, Tianyu Zhao, Yujin Tang
Larger or Smaller Reward Margins to Select Preferences for LLM Alignment?
Kexin Huang, Junkang Wu, Ziqian Chen et al.
LARM: Large Auto-Regressive Model for Long-Horizon Embodied Intelligence
Zhuoling Li, Xiaogang Xu, Zhenhua Xu et al.
La RoSA: Enhancing LLM Efficiency via Layerwise Rotated Sparse Activation
Kai Liu, Bowen Xu, Shaoyu Wu et al.
LASER: Attention with Exponential Transformation
Sai Surya Duvvuri, Inderjit Dhillon
LAST SToP for Modeling Asynchronous Time Series
Shubham Gupta, Thibaut Durand, Graham Taylor et al.
Latent Action Learning Requires Supervision in the Presence of Distractors
Alexander Nikulin, Ilya Zisman, Denis Tarasov et al.
Latent Diffusion Planning for Imitation Learning
Amber Xie, Oleh Rybkin, Dorsa Sadigh 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 Score-Based Reweighting for Robust Classification on Imbalanced Tabular Data
Yunze Tong, Fengda Zhang, Zihao Tang 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.
LAuReL: Learned Augmented Residual Layer
Gaurav Menghani, Ravi Kumar, Sanjiv Kumar
Layer by Layer: Uncovering Hidden Representations in Language Models
Oscar Skean, Md Rifat Arefin, Dan Zhao et al.
Layer-wise Alignment: Examining Safety Alignment Across Image Encoder Layers in Vision Language Models
Saketh Bachu, Erfan Shayegani, Rohit Lal et al.
Layer-wise Quantization for Quantized Optimistic Dual Averaging
Anh Duc Nguyen, Ilia Markov, Zhengqing Wu et al.
LBI-FL: Low-Bit Integerized Federated Learning with Temporally Dynamic Bit-Width Allocation
Li Ding, Hao Zhang, Wenrui Dai et al.
L-Diffusion: Laplace Diffusion for Efficient Pathology Image Segmentation
Weihan Li, Linyun Zhou, YangJian et al.
LDMol: A Text-to-Molecule Diffusion Model with Structurally Informative Latent Space Surpasses AR Models
Jinho Chang, Jong Chul YE
Lean and Mean Adaptive Optimization via Subset-Norm and Subspace-Momentum with Convergence Guarantees
Thien Nguyen, Huy Nguyen
LEAPS: A discrete neural sampler via locally equivariant networks
Peter Holderrieth, Michael Albergo, Tommi Jaakkola
Learnable Spatial-Temporal Positional Encoding for Link Prediction
Katherine Tieu, Dongqi Fu, Zihao Li et al.
Learn Beneficial Noise as Graph Augmentation
Siqi Huang, Yanchen Xu, Hongyuan Zhang et al.
Learn from Downstream and Be Yourself in Multimodal Large Language Models Fine-Tuning
Wenke Huang, Jian Liang, Zekun Shi et al.
Learngene Tells You How to Customize: Task-Aware Parameter Initialization at Flexible Scales
Jiaze Xu, Shiyu Xia, Xu Yang et al.
Learning Adaptive Lighting via Channel-Aware Guidance
Qirui Yang, Peng-Tao Jiang, Hao Zhang et al.
Learning Adversarial MDPs with Stochastic Hard Constraints
Francesco Emanuele Stradi, Matteo Castiglioni, Alberto Marchesi et al.
Learning Along the Arrow of Time: Hyperbolic Geometry for Backward-Compatible Representation Learning
Ngoc Bui, Menglin Yang, Runjin Chen et al.
Learning Attribute-Aware Hash Codes for Fine-Grained Image Retrieval via Query Optimization
Peng Wang, Yong Li, Lin Zhao et al.
Learning-Augmented Algorithms for MTS with Bandit Access to Multiple Predictors
Matei Gabriel Cosa, Marek Elias
Learning-Augmented Hierarchical Clustering
Vladimir Braverman, Jon C. Ergun, Chen Wang et al.
Learning Bayesian Nash Equilibrium in Auction Games via Approximate Best Response
Kexin Huang, Ziqian Chen, xue wang et al.
Learning Cascade Ranking as One Network
Yunli Wang, ZhenZhang, Zhiqiang Wang et al.
Learning Changes in Graphon Attachment Network Models
Xinyuan Fan, Bufan Li, Chenlei Leng et al.