Papers
12094 papers
ICML2025
Hyper-Transforming Latent Diffusion Models
Summary pending...
Latent Diffusion ModelsTransformersINRs
ICML2025
ELMO : Efficiency via Low-precision and Peak Memory Optimization in Large Output Spaces
Summary pending...
Extreme Multi-Label ClassificationLow-Precision TrainingPeak Memory Optimization
ICML2025
Hide & Seek: Transformer Symmetries Obscure Sharpness & Riemannian Geometry Finds It
Summary pending...
generalizationsymmetrysharpness
ICML2025
Causal Effect Identification in lvLiNGAM from Higher-Order Cumulants
Summary pending...
Causal Effect IdentificationStructural Causal ModelsCumulants.
ICML2025
Towards Attributions of Input Variables in a Coalition
Summary pending...
Attribution methodsShapley value
ICML2025
Towards Efficient Online Tuning of VLM Agents via Counterfactual Soft Reinforcement Learning
Summary pending...
vision-language modelagentreinforcement learning
ICML2025
The Harder Path: Last Iterate Convergence for Uncoupled Learning in Zero-Sum Games with Bandit Feedback
Summary pending...
Game theoryBanditLast-iterate convergence
ICML2025
Neural Guided Diffusion Bridges
Summary pending...
Diffusion bridgevariational approximationchange of measure
ICML2025
Incremental Gradient Descent with Small Epoch Counts is Surprisingly Slow on Ill-Conditioned Problems
Summary pending...
Permutation-based SGDIncremental Gradient DescentLower Bound
ICML2025
Lightweight Dataset Pruning without Full Training via Example Difficulty and Prediction Uncertainty
Summary pending...
Dataset PruningCoreset SelectionExample Difficulty
ICML2025
Be a Goldfish: Forgetting Bad Conditioning in Sparse Linear Regression via Variational Autoencoders
Summary pending...
Variational AutoencodersSparse Linear RegressionNP-Hard
ICML2025
Multilayer Matrix Factorization via Dimension-Reducing Diffusion Variational Inference
Summary pending...
Multilayer matrix factorizationVariational inferenceVariational diffusion models
ICML2025
Let LLM Tell What to Prune and How Much to Prune
Summary pending...
large language modelsmodel compressionnetwork pruning
ICML2025
Measuring In-Context Computation Complexity via Hidden State Prediction
Summary pending...
in-context learninginterpretabilitytransformers
ICML2025
Neutral residues: revisiting adapters for model extension
Summary pending...
LLMAdaptersDomain Adaptation
ICML2025
Controlling Large Language Model with Latent Action
Summary pending...
Controllable language modellatent action model
ICML2025
Beyond Cropped Regions: New Benchmark and Corresponding Baseline for Chinese Scene Text Retrieval in Diverse Layouts
Summary pending...
Scene text retrievalMultimodal retrievalText understanding
ICML2025
An Empirical Study on Configuring In-Context Learning Demonstrations for Unleashing MLLMs' Sentimental Perception Capability
Summary pending...
Multimodal Sentiment AnalysisMultimodal Large Language ModelIn-Context Learning
ICML2025
Statistical Hypothesis Testing for Auditing Robustness in Language Models
Summary pending...
language modelssafetyinterpretability
ICML2025
Generalization of noisy SGD in unbounded non-convex settings
Summary pending...
Information theoretic generalizationLangevinSGD