Papers
12094 papers
TMLR2025
Standard-Deviation-Inspired Regularization for Improving Adversarial Robustness
Summary pending...
TMLR2025
Fourier PINNs: From Strong Boundary Conditions to Adaptive Fourier Bases
Summary pending...
TMLR2025
Over-parameterised Shallow Neural Networks with Asymmetrical Node Scaling: Global Convergence Guarantees and Feature Learning
Summary pending...
TMLR2025
From Promise to Practice: A Study of Common Pitfalls Behind the Generalization Gap in Machine Learning
Summary pending...
TMLR2025
Towards Understanding Adversarial Transferability in Federated Learning
Summary pending...
TMLR2025
Meta-Learning to Teach Semantic Prompts for Open Domain Generalization in Vision-Language Models
Summary pending...
TMLR2025
Making Self-supervised Learning Robust to Spurious Correlation via Learning-speed Aware Sampling
Summary pending...
TMLR2025
GenCAD: Image-Conditioned Computer-Aided Design Generation with Transformer-Based Contrastive Representation and Diffusion Priors
Summary pending...
TMLR2025
Bézier Flow: a Surface-wise Gradient Descent Method for Multi-objective Optimization
Summary pending...
TMLR2025
Noise-free Loss Gradients: A Surprisingly Effective Baseline for Coreset Selection
Summary pending...
TMLR2025
A limitation on black-box dynamics approaches to Reinforcement Learning
Summary pending...
TMLR2025
Unsupervised Training of Convex Regularizers using Maximum Likelihood Estimation
Summary pending...
TMLR2025
Pre-trained Vision-Language Models Learn Discoverable Visual Concepts
Summary pending...
TMLR2025
Full-Rank Unsupervised Node Embeddings for Directed Graphs via Message Aggregation
Summary pending...