Papers
12094 papers
TMLR2025
Tackling Feature and Sample Heterogeneity in Decentralized Multi-Task Learning: A Sheaf-Theoretic Approach
Summary pending...
TMLR2025
Dynamic Schwartz-Fourier Neural Operator for Enhanced Expressive Power
Summary pending...
TMLR2025
MaxCutBench: Revisiting and Benchmarking Graph Neural Networks for Maximum Cut
Summary pending...
TMLR2025
Part-aware Prompted Segment Anything Model for Adaptive Segmentation
Summary pending...
TMLR2025
A Theoretical Study of Neural Network Expressive Power via Manifold Topology
Summary pending...
TMLR2025
RefinedFields: Radiance Fields Refinement for Planar Scene Representations
Summary pending...
TMLR2025
Synthetic Data is Sufficient for Zero-Shot Visual Generalization from Offline Data
Summary pending...
TMLR2025
Unified Preference Optimization: Language Model Alignment Beyond the Preference Frontier
Summary pending...
TMLR2025
Knowing What Not to Do: Leverage Language Model Insights for Action Space Pruning in Multi-agent Reinforcement Learning
Summary pending...
TMLR2025
Enhancing Molecular Conformer Generation via Fragment- Augmented Diffusion Pretraining
Summary pending...
TMLR2025
A Novel Benchmark for Few-Shot Semantic Segmentation in the Era of Foundation Models
Summary pending...
TMLR2025
Thoughts and Lessons on Using Visual Foundation Models for Manipulation
Summary pending...
TMLR2025
Enhancing deep neural networks through complex-valued representations and Kuramoto synchronization dynamics
Summary pending...