Papers
12094 papers
ICML2025
BAnG: Bidirectional Anchored Generation for Conditional RNA Design
Summary pending...
generative modelingsequential dataautoregressive generation
ICML2025
Compact Matrix Quantum Group Equivariant Neural Networks
Summary pending...
deep learning theoryequivariant neural networksquantum groups
ICML2025
Adversarial Inputs for Linear Algebra Backends
Summary pending...
adversarial inputslinear algebra backendsfloating-point errors
ICML2025
LlavaGuard: An Open VLM-based Framework for Safeguarding Vision Datasets and Models
Summary pending...
SafetySafeguardingVLM
ICML2025
DiffAdvMAP: Flexible Diffusion-Based Framework for Generating Natural Unrestricted Adversarial Examples
Summary pending...
Unrestricted Adversarial AttacksDiffusion ModelsFlexible Unrestricted Adversarial Attacks
ICML2025
Grokking in the Wild: Data Augmentation for Real-World Multi-Hop Reasoning with Transformers
Summary pending...
multi-hop reasoningtransformersgrokking
ICML2025
Calibrated Language Models and How to Find Them with Label Smoothing
Summary pending...
model calibrationlabel smoothinglarge vocabulary large language models
ICML2025
BOOD: Boundary-based Out-Of-Distribution Data Generation
Summary pending...
OOD detectionDiffusion modelsTraining data generation
ICML2025
FedBEns: One-Shot Federated Learning based on Bayesian Ensemble
Summary pending...
One-shot Federated LearningBayesian InferenceLaplace Approximation
ICML2025
Predictive Data Selection: The Data That Predicts Is the Data That Teaches
Summary pending...
Pretraining Data SelectionEfficient Pretraining
ICML2025
Reasoning Limitations of Multimodal Large Language Models. A case study of Bongard Problems
Summary pending...
Multimodal Large Language ModelsAbstract Visual ReasoningBongard Problems
ICML2025
A Generalization Result for Convergence in Learning-to-Optimize
Summary pending...
learning-to-optimizenon-smooth non-convex optimizationPAC-Bayesian guarantees
ICML2025
Neural Event-Triggered Control with Optimal Scheduling
Summary pending...
Event-triggered controlStability guaranteeLimit resources
ICML2025
Learning Safe Strategies for Value Maximizing Buyers in Uniform Price Auctions
Summary pending...
multi-unit auctionsvalue maximizersbidding strategies
ICML2025
Leveraging Model Guidance to Extract Training Data from Personalized Diffusion Models
Summary pending...
Data ExtractionCopyright ProtectionPrivacy and Security
ICML2025
MODULI: Unlocking Preference Generalization via Diffusion Models for Offline Multi-Objective Reinforcement Learning
Summary pending...
GeneralizationDiffusionMulti-Objective Reinforcement Learning
ICML2025
CoPINN: Cognitive Physics-Informed Neural Networks
Summary pending...
Physical informed neural networkSelf-paced learningSeparable learning.
ICML2025
Adjustment for Confounding using Pre-Trained Representations
Summary pending...
ATEPre-trained ModelsDoubly Robust Estimation
ICML2025
SecEmb: Sparsity-Aware Secure Federated Learning of On-Device Recommender System with Large Embedding
Summary pending...
Secure aggregationrecommender systemfederated learning
ICML2025
Bayesian Basis Function Approximation for Scalable Gaussian Process Priors in Deep Generative Models
Summary pending...
Gaussian ProcessHigh-dimensional time-seriesVariational Autoencoder