Papers
12094 papers
TMLR2025
On the Interdependence between Data Selection and Architecture Optimization in Deep Active Learning
Summary pending...
TMLR2025
Adaptive Incentive Design for Markov Decision Processes with Unknown Rewards
Summary pending...
TMLR2025
A general framework of Riemannian adaptive optimization methods with a convergence analysis
Summary pending...
TMLR2025
AutoDocSegmenter: A Geometric Approach towards Self-Supervised Document Segmentation
Summary pending...
TMLR2025
What is the Relationship between Tensor Factorizations and Circuits (and How Can We Exploit it)?
Summary pending...
TMLR2025
Planning with Consistency Models for Model-Based Offline Reinforcement Learning
Summary pending...
TMLR2025
Making Self-supervised Learning Robust to Spurious Correlation via Learning-speed Aware Sampling
Summary pending...
TMLR2025
Bézier Flow: a Surface-wise Gradient Descent Method for Multi-objective Optimization
Summary pending...
TMLR2025
Unsupervised Training of Convex Regularizers using Maximum Likelihood Estimation
Summary pending...
TMLR2025
Full-Rank Unsupervised Node Embeddings for Directed Graphs via Message Aggregation
Summary pending...
TMLR2025
A limitation on black-box dynamics approaches to Reinforcement Learning
Summary pending...
TMLR2025
Pre-trained Vision-Language Models Learn Discoverable Visual Concepts
Summary pending...