Papers
12094 papers
ICML2025
Hybrid Spiking Vision Transformer for Object Detection with Event Cameras
Summary pending...
Spiking Neural NetworksFall DetectionObject Detection With Event Cameras
ICML2025
Reliable and Efficient Amortized Model-based Evaluation
Summary pending...
Model EvaluationAmortizationAdaptive Testing
ICML2025
Train for the Worst, Plan for the Best: Understanding Token Ordering in Masked Diffusions
Summary pending...
Discrete Diffusion modelsMasked Diffusion ModelsDiffusion Models
ICML2025
Confounder-Free Continual Learning via Recursive Feature Normalization
Summary pending...
deep neural networksconfounderscontinual learning
ICML2025
Adjoint Sampling: Highly Scalable Diffusion Samplers via Adjoint Matching
Summary pending...
SamplingStochastic Optimal Control
ICML2025
Long-Term TalkingFace Generation via Motion-Prior Conditional Diffusion Model
Summary pending...
Diffusion ModelTalkingFacePose
ICML2025
Action-Minimization Meets Generative Modeling: Efficient Transition Path Sampling with the Onsager-Machlup Functional
Summary pending...
Transition path samplingmolecular dynamicsgenerative models
ICML2025
FEAT-KD: Learning Concise Representations for Single and Multi-Target Regression via TabNet Knowledge Distillation
Summary pending...
FEATKnowledge DistillationSymbolic Regression
ICML2025
Faster Global Minimum Cut with Predictions
Summary pending...
Algorithms with PredictionsMinimum CutKarger
ICML2025
Pareto-Optimal Fronts for Benchmarking Symbolic Regression Algorithms
Summary pending...
Symbolic RegressionBenchmark
ICML2025
Scaling Laws for Differentially Private Language Models
Summary pending...
scaling lawsdifferential privacy
ICML2025
Understanding the Statistical Accuracy-Communication Trade-off in Personalized Federated Learning with Minimax Guarantees
Summary pending...
Personalized Federated LearningStatistical ComplexityCommunication Complexity
ICML2025
TGDPO: Harnessing Token-Level Reward Guidance for Enhancing Direct Preference Optimization
Summary pending...
Large Language ModelsPreference Optimization
ICML2025
EFDTR: Learnable Elliptical Fourier Descriptor Transformer for Instance Segmentation
Summary pending...
Instance SegmentationLearnable Elliptical Fourier DescriptorContour Prediction
ICML2025
Improved Last-Iterate Convergence of Shuffling Gradient Methods for Nonsmooth Convex Optimization
Summary pending...
Convex optimizatonNonsmooth optimizationShuffling methods
ICML2025
Online Detection of LLM-Generated Texts via Sequential Hypothesis Testing by Betting
Summary pending...
LLM-Generated TextText Source DetectionSequential Hypothesis Testing
ICML2025
Bellman Unbiasedness: Toward Provably Efficient Distributional Reinforcement Learning with General Value Function Approximation
Summary pending...
Distributional RLRegret Minimization
ICML2025
Implicit Subgraph Neural Network
Summary pending...
Subgraph ClassificationImplicit Models
ICML2025
Fixed-Confidence Multiple Change Point Identification under Bandit Feedback
Summary pending...
banditspure explorationfixed confidence
ICML2025
Policy-labeled Preference Learning: Is Preference Enough for RLHF?
Summary pending...
Reinforcement Learning from Human FeedbackDirect Preference OptimizationRegret Minimization