Papers

12094 papers

ICML2025

Leveraging Model Guidance to Extract Training Data from Personalized Diffusion Models

Summary pending...

Data ExtractionCopyright ProtectionPrivacy and Security
ICML2025

Improving the Statistical Efficiency of Cross-Conformal Prediction

Summary pending...

Conformal PredictionExchangeabilityRandomization
ICML2025

General agents need world models

Summary pending...

Agentsworld modelsreinforcement learning
ICML2025

Embedding Safety into RL: A New Take on Trust Region Methods

Summary pending...

Constrained MDPInformation GeometrySafe RL
ICML2025

Calibrated Value-Aware Model Learning with Probabilistic Environment Models

Summary pending...

model-based rlmuzeroitervaml
ICML2025

GANQ: GPU-Adaptive Non-Uniform Quantization for Large Language Models

Summary pending...

Large Language ModelsNon-uniform QuantizationGPU-adaptive Algorithms
ICML2025

Enhancing Diversity In Parallel Agents: A Maximum State Entropy Exploration Story

Summary pending...

Maximum State EntropyParallel Reinforcement LearningAgents' Diversity
ICML2025

Mind the Gap: a Spectral Analysis of Rank Collapse and Signal Propagation in Attention Layers

Summary pending...

transformersattention mechanismspectral analysis
ICML2025

HEAP: Hyper Extended A-PDHG Operator for Constrained High-dim PDEs

Summary pending...

PDENeural OperatorConstraints
ICML2025

InfoSEM: A Deep Generative Model with Informative Priors for Gene Regulatory Network Inference

Summary pending...

Gene Regulatory Networks inferenceInformative priorsscRNA-seq
ICML2025

Robust Autonomy Emerges from Self-Play

Summary pending...

Reinforcement LearningAutonomySimulation
ICML2025

Continuous-Time Analysis of Heavy Ball Momentum in Min-Max Games

Summary pending...

Min-Max GamesHeavy Ball MomentumContinuous-Time Analysis
ICML2025

A Variational Information Theoretic Approach to Out-of-Distribution Detection

Summary pending...

out-of-distribution detectioninformation theoryvariational calculus
ICML2025

FastCAV: Efficient Computation of Concept Activation Vectors for Explaining Deep Neural Networks

Summary pending...

explainabilityconcept-based explanationsconcept activation vectors
ICML2025

Provably Improving Generalization of Few-shot models with Synthetic Data

Summary pending...

Synthetic dataFew-Shot learningRobustness
ICML2025

Fundamental limits of learning in sequence multi-index models and deep attention networks: high-dimensional asymptotics and sharp thresholds

Summary pending...

theorymulti-index modelapproximate message-passing
ICML2025

Interaction-Aware Gaussian Weighting for Clustered Federated Learning

Summary pending...

Federated LearningClustered Federated Learning
ICML2025

In-Context Deep Learning via Transformer Models

Summary pending...

foundation modeltransformerin-context learning
ICML2025

Lightspeed Geometric Dataset Distance via Sliced Optimal Transport

Summary pending...

Dataset distancesliced optimal transportdata-centric machine learning
ICML2025

Towards Understanding Gradient Dynamics of the Sliced-Wasserstein Distance via Critical Point Analysis

Summary pending...

optimal transportoptimisationsliced-wasserstein distance