Papers
12094 papers
ICML2025
Which Attention Heads Matter for In-Context Learning?
Summary pending...
interpretabilityin-context learninglarge language models
ICML2025
From Mechanistic Interpretability to Mechanistic Biology: Training, Evaluating, and Interpreting Sparse Autoencoders on Protein Language Models
Summary pending...
protein language modelsparse autoencodermechanistic interpretability
ICML2025
DMM: Distributed Matrix Mechanism for Differentially-Private Federated Learning Based on Constant-Overhead Linear Secret Resharing
Summary pending...
federated learningdifferential privacymatrix mechanism
ICML2025
BEST-Route: Adaptive LLM Routing with Test-Time Optimal Compute
Summary pending...
Large language modelsEfficient MLQuery Routing
ICML2025
Auditing $f$-differential privacy in one run
Summary pending...
Empirical privacyAuditingDifferential Privacy
ICML2025
Improved Algorithm for Deep Active Learning under Imbalance via Optimal Separation
Summary pending...
Deep LearningActive LabelingClass Imbalance
ICML2025
Probabilistic Factorial Experimental Design for Combinatorial Interventions
Summary pending...
Experimental DesignFactorial ExperimentCombinatorial Interventions
ICML2025
CoastalBench: A Decade-Long High-Resolution Dataset to Emulate Complex Coastal Processes
Summary pending...
Coastal ProcessesDatasetBenchmark
ICML2025
Causal-PIK: Causality-based Physical Reasoning with a Physics-Informed Kernel
Summary pending...
active explorationphysical reasoningcausality
ICML2025
Emergent Symbolic Mechanisms Support Abstract Reasoning in Large Language Models
Summary pending...
Mechanistic interpretabilityreasoningabstraction
ICML2025
Multiple-policy Evaluation via Density Estimation
Summary pending...
Theoretical Reinforcement Learning; Policy Evaluation; Instance dependent results;
ICML2025
EmbodiedBench: Comprehensive Benchmarking Multi-modal Large Language Models for Vision-Driven Embodied Agents
Summary pending...
Embodied AgentMulti-modal Large Language Models
ICML2025
Joint Localization and Activation Editing for Low-Resource Fine-Tuning
Summary pending...
activation editinglow-resourcelocalization
ICML2025
Stronger Neyman Regret Guarantees for Adaptive Experimental Design
Summary pending...
ATEtreatment effectadaptive experimental design
ICML2025
Symmetric Reinforcement Learning Loss for Robust Learning on Diverse Tasks and Model Scales
Summary pending...
Reinforcement learningCross entropySymmetric loss functions
ICML2025
Learning with Expected Signatures: Theory and Applications
Summary pending...
Probabilistic Machine LearningSignatureExpected Signature
ICML2025
Federated Generalised Variational Inference: A Robust Probabilistic Federated Learning Framework
Summary pending...
Federated LearningProbabilistic Machine LearningModel Misspecification
ICML2025
Boosting Protein Graph Representations through Static-Dynamic Fusion
Summary pending...
Graph Neural NetworksProtein ModelingMolecular Dynamics
ICML2025
Simplifying DINO via Coding Rate Regularization
Summary pending...
Self-supervised learningDINO
ICML2025
Wasserstein Policy Optimization
Summary pending...
Policy OptimizationWasserstein metricOptimal Transport