Papers
12094 papers
ICLR2025
QuaDiM: A Conditional Diffusion Model For Quantum State Property Estimation
Summary pending...
quantumproperty estimationmachine learning
ICLR2025
Local-Prompt: Extensible Local Prompts for Few-Shot Out-of-Distribution Detection
Summary pending...
Out-of-distribution detectionPrompt learningVision-language model
ICLR2025
Iterative Substructure Extraction for Molecular Relational Learning with Interactive Graph Information Bottleneck
Summary pending...
Molecular Relational LearningEM AlgorithmSubstructure Extraction
ICLR2025
Optimistic Games for Combinatorial Bayesian Optimization with Application to Protein Design
Summary pending...
Combinatorial Bayesian OptimizationGame TheoryGaussian Processes
ICLR2025
GlycanML: A Multi-Task and Multi-Structure Benchmark for Glycan Machine Learning
Summary pending...
Glycan Machine LearningRepresentation LearningMulti-Task Learning
ICLR2025
Precedence-Constrained Winter Value for Effective Graph Data Valuation
Summary pending...
Data ValuationGraph LearningGraph neural network
ICLR2025
BirdSet: A Large-Scale Dataset for Audio Classification in Avian Bioacoustics
Summary pending...
audio classificationmulti-labeldataset collection
ICLR2025
DAWN: Dynamic Frame Avatar with Non-autoregressive Diffusion Framework for Talking head Video Generation
Summary pending...
Talking head generationNon-autoregressive generationAvatar
ICLR2025
Improving Complex Reasoning with Dynamic Prompt Corruption: A Soft Prompt Optimization Approach
Summary pending...
prompt tuningcorruptioninformation flow
ICLR2025
Tighter Privacy Auditing of DP-SGD in the Hidden State Threat Model
Summary pending...
Differential PrivacyPrivacy AuditingMachine Learning
ICLR2025
IDInit: A Universal and Stable Initialization Method for Neural Network Training
Summary pending...
InitializationIdetity MatrixDynamic Isometry
ICLR2025
A-Bench: Are LMMs Masters at Evaluating AI-generated Images?
Summary pending...
Large multi-modal modelsAI-generated imagesBenchmark
ICLR2025
Towards Understanding the Universality of Transformers for Next-Token Prediction
Summary pending...
TransformersIn-Context LearningDeep Learning Theory
ICLR2025
Relation-Aware Diffusion for Heterogeneous Graphs with Partially Observed Features
Summary pending...
missing featuresimputationheterogeneous graph
ICLR2025
SAVA: Scalable Learning-Agnostic Data Valuation
Summary pending...
Data ValuationOptimal TransportData Selection
ICLR2025
$\phi$-Update: A Class of Policy Update Methods with Policy Convergence Guarantee
Summary pending...
reinforcement learningpolicy optimizationpolicy convergence
ICLR2025
INS: Interaction-aware Synthesis to Enhance Offline Multi-agent Reinforcement Learning
Summary pending...
Multi-agent reinforcement learningOffline reinforcement learningDiffusion models
ICLR2025
Training Large Language Models for Retrieval-Augmented Question Answering through Backtracking Correction
Summary pending...
RAGCoTSelf-play
ICLR2025
$F^3Set$: Towards Analyzing Fast, Frequent, and Fine-grained Events from Videos
Summary pending...
temporal event spottingfine-grained video understandingvideo analytics
ICLR2025
Model-agnostic meta-learners for estimating heterogeneous treatment effects over time
Summary pending...
causal inferencetreatment effect estimationCATE