Papers
12094 papers
TMLR2025
Provable Quantum Algorithm Advantage for Gaussian Process Quadrature
Summary pending...
TMLR2025
Active Learning for Level Set Estimation Using Randomized Straddle Algorithms
Summary pending...
TMLR2025
Uniformly Distributed Feature Representations for Fair and Robust Learning
Summary pending...
TMLR2025
Align and Distill: Unifying and Improving Domain Adaptive Object Detection
Summary pending...
TMLR2025
Fourier PINNs: From Strong Boundary Conditions to Adaptive Fourier Bases
Summary pending...
TMLR2025
Multivariate Dense Retrieval: A Reproducibility Study under a Memory-limited Setup
Summary pending...
TMLR2025
From Promise to Practice: A Study of Common Pitfalls Behind the Generalization Gap in Machine Learning
Summary pending...
TMLR2025
Positional Encoding Helps Recurrent Neural Networks Handle a Large Vocabulary
Summary pending...
TMLR2025
An Investigation of Offline Reinforcement Learning in Factorisable Action Spaces
Summary pending...
TMLR2025
Towards Understanding Adversarial Transferability in Federated Learning
Summary pending...
TMLR2025
Regularized Proportional Fairness Mechanism for Resource Allocation Without Money
Summary pending...
TMLR2025
Meta-Learning to Teach Semantic Prompts for Open Domain Generalization in Vision-Language Models
Summary pending...
TMLR2025
TOTEM: TOkenized Time Series EMbeddings for General Time Series Analysis
Summary pending...
TMLR2025
Evaluating Posterior Probabilities: Decision Theory, Proper Scoring Rules, and Calibration
Summary pending...
TMLR2025
Diffusion on Graph: Augmentation of Graph Structure for Node Classification
Summary pending...
TMLR2025
Zero-Order One-Point Gradient Estimate in Consensus-Based Distributed Stochastic Optimization
Summary pending...