Papers
12094 papers
TMLR2025
A Local Polyak-Łojasiewicz and Descent Lemma of Gradient Descent For Overparametrized Linear Models
Summary pending...
TMLR2025
A Stochastic Polynomial Expansion for Uncertainty Propagation through Networks
Summary pending...
TMLR2025
Solving the Cold Start Problem on One's Own as an End User via Preference Transfer
Summary pending...
TMLR2025
Accelerating Learned Image Compression Through Modeling Neural Training Dynamics
Summary pending...
TMLR2025
A Baseline Method for Removing Invisible Image Watermarks using Deep Image Prior
Summary pending...
TMLR2025
ETGL-DDPG: A Deep Deterministic Policy Gradient Algorithm for Sparse Reward Continuous Control
Summary pending...
TMLR2025
ComPEFT: Compression for Communicating Parameter Efficient Updates via Sparsification and Quantization
Summary pending...
TMLR2025
Doubly Robust Uncertainty Quantification for Quantile Treatment Effects in Sequential Decision Making
Summary pending...
TMLR2025
Efficient and Accurate Optimal Transport with Mirror Descent and Conjugate Gradients
Summary pending...
TMLR2025
Revisiting B2T: Discovering and Mitigating Visual Biases through Keyword Explanations
Summary pending...
TMLR2025
FGAIF: Aligning Large Vision-Language Models with Fine-grained AI Feedback
Summary pending...
TMLR2025
Test-time Contrastive Concepts for Open-world Semantic Segmentation with Vision-Language Models
Summary pending...
TMLR2025
Controlled Model Debiasing through Minimal and Interpretable Updates
Summary pending...