Papers
12094 papers
TMLR2025
CodeLutra: Boosting LLM Code Generation via Preference-Guided Refinement
Summary pending...
TMLR2025
MAMUT: A Novel Framework for Modifying Mathematical Formulas for the Generation of Specialized Datasets for Language Model Training
Summary pending...
TMLR2025
Deep Augmentation: Dropout as Augmentation for Self-Supervised Learning
Summary pending...
TMLR2025
Rethinking Robustness in Machine Learning: A Posterior Agreement Approach
Summary pending...
TMLR2025
FlowBench: Benchmarking Optical Flow Estimation Methods for Reliability and Generalization
Summary pending...
TMLR2025
Theoretical Learning Performance of Graph Networks: the Impact of Jumping Connections and Layer-wise Sparsification
Summary pending...
TMLR2025
Potential Score Matching: Debiasing Molecular Structure Sampling with Potential Energy Guidance
Summary pending...
TMLR2025
Multi-objective Bayesian optimization for Likelihood-Free inference in sequential sampling models of decision making
Summary pending...
TMLR2025
Learning Equivalence Classes of Bayesian Network Structures with GFlowNet
Summary pending...
TMLR2025
Batch Training for Streaming Time Series: A Transferable Augmentation Framework to Combat Distribution Shifts
Summary pending...
TMLR2025
Registers in Small Vision Transformers: A Reproducibility Study of Vision Transformers Need Registers
Summary pending...
TMLR2025
Variance Dichotomy in Feature Spaces of Facial Recognition Systems is a Weak Defense against Simple Weight Manipulation Attacks
Summary pending...
TMLR2025
Explaining Caption-Image Interactions in CLIP Models with Second-Order Attributions
Summary pending...
TMLR2025
A Framework for Finding Local Saddle Points in Two-Player Zero-Sum Black-Box Games
Summary pending...
TMLR2025
Controlled Model Debiasing through Minimal and Interpretable Updates
Summary pending...