Papers
12094 papers
ICML2025
Generalized Random Forests Using Fixed-Point Trees
Summary pending...
Generalized Random ForestsFixed-Point MethodsEnsemble Methods
ICML2025
Optimal Fair Learning Robust to Adversarial Distribution Shift
Summary pending...
FairnessRandomizationClassification
ICML2025
MedRAX: Medical Reasoning Agent for Chest X-ray
Summary pending...
healthcareagentmultimodal
ICML2025
BiMark: Unbiased Multilayer Watermarking for Large Language Models
Summary pending...
Language Model WatermarkingText GenerationModel Security
ICML2025
Sample-Optimal Agnostic Boosting with Unlabeled Data
Summary pending...
boostingagnostic learningweak learning
ICML2025
Generalization Principles for Inference over Text-Attributed Graphs with Large Language Models
Summary pending...
text-attributed graphszero-shot learninglarge language model
ICML2025
Evaluating Judges as Evaluators: The JETTS Benchmark of LLM-as-Judges as Test-Time Scaling Evaluators
Summary pending...
LLM-as-judgetest-time scalingbenchmark
ICML2025
Rethinking Point Cloud Data Augmentation: Topologically Consistent Deformation
Summary pending...
3D Point CloudHomeomorphismData Augmentation
ICML2025
Restoring Calibration for Aligned Large Language Models: A Calibration-Aware Fine-Tuning Approach
Summary pending...
Large Language Models; Calibration; Fine-Tuning
ICML2025
Online Conformal Prediction via Online Optimization
Summary pending...
conformal predictiononline conformal predictionstochastic convex optimization
ICML2025
Benchmarking Abstract and Reasoning Abilities Through A Theoretical Perspective
Summary pending...
Large Language ModelsAbstract ReasoningBenchmark
ICML2025
Bayesian Neural Scaling Law Extrapolation with Prior-Data Fitted Networks
Summary pending...
Neural Scaling LawsBayesian InferencePrior-data Fitted Networks
ICML2025
How does Labeling Error Impact Contrastive Learning? A Perspective from Data Dimensionality Reduction
Summary pending...
Contrastive learninglabeling errordata dimensionality reduction
ICML2025
Gradient Descent Converges Arbitrarily Fast for Logistic Regression via Large and Adaptive Stepsizes
Summary pending...
gradient descentlogistic regressionconvergence
ICML2025
Improving Memory Efficiency for Training KANs via Meta Learning
Summary pending...
Hypernetwork;Kolmogorov-Arnold networks;Memory efficiency;Scalability and Extensibility
ICML2025
A Trichotomy for List Transductive Online Learning
Summary pending...
Online LearningTransductive LearningList Learning
ICML2025
EGPlace: An Efficient Macro Placement Method via Evolutionary Search with Greedy Repositioning Guided Mutation
Summary pending...
Chip PlacementEvolutionary SearchMutation
ICML2025
Structure-Guided Large Language Models for Text-to-SQL Generation
Summary pending...
Text-to-SQLlarge language modelstructure learning
ICML2025
SlimLLM: Accurate Structured Pruning for Large Language Models
Summary pending...
structure pruninglarge language modelsmachine learning