Papers
12094 papers
TMLR2025
Iterated $Q$-Network: Beyond One-Step Bellman Updates in Deep Reinforcement Learning
Summary pending...
TMLR2025
DELTA: Dual Consistency Delving with Topological Uncertainty for Active Graph Domain Adaptation
Summary pending...
TMLR2025
Amphibian: A Meta-Learning Framework for Rehearsal-Free, Fast Online Continual Learning
Summary pending...
TMLR2025
Reheated Gradient-based Discrete Sampling for Combinatorial Optimization
Summary pending...
TMLR2025
Label Distribution Shift-Aware Prediction Refinement for Test-Time Adaptation
Summary pending...
TMLR2025
Rethinking Knowledge Transfer in Learning Using Privileged Information
Summary pending...
TMLR2025
Minimax Posterior Contraction Rates for Unconstrained Distribution Estimation on $[0,1]^d$ under Wasserstein Distance
Summary pending...
TMLR2025
Global Graph Counterfactual Explanation: A Subgraph Mapping Approach
Summary pending...
TMLR2025
Making Reliable and Flexible Decisions in Long-tailed Classification
Summary pending...
TMLR2025
On the Regularization of Learnable Embeddings for Time Series Forecasting
Summary pending...
TMLR2025
Compositionality in Time Series: A Proof of Concept using Symbolic Dynamics and Compositional Data Augmentation
Summary pending...