Papers
12094 papers
TMLR2025
CLoQ: Enhancing Fine-Tuning of Quantized LLMs via Calibrated LoRA Initialization
Summary pending...
TMLR2025
A Bias Correction Mechanism for Distributed Asynchronous Optimization
Summary pending...
TMLR2025
Before Forgetting, There's Learning: Representation Learning Challenges in Online Unsupervised Continual Learning
Summary pending...
TMLR2025
On Representing Convex Quadratically Constrained Quadratic Programs via Graph Neural Networks
Summary pending...
TMLR2025
Solving Quadratic Programs via Deep Unrolled Douglas-Rachford Splitting
Summary pending...
TMLR2025
BiDoRA: Bi-level Optimization-Based Weight-Decomposed Low-Rank Adaptation
Summary pending...
TMLR2025
Adapting Chat Language Models Using Only Target Unlabeled Language Data
Summary pending...
TMLR2025
Emergent Neural Network Mechanisms for Generalization to Objects in Novel Orientations
Summary pending...
TMLR2025
Goal-Conditioned Data Augmentation for Offline Reinforcement Learning
Summary pending...
TMLR2025
nnActive: A Framework for Evaluation of Active Learning in 3D Biomedical Segmentation
Summary pending...
TMLR2025
Two Is Better Than One: Aligned Representation Pairs for Anomaly Detection
Summary pending...
TMLR2025
FedComLoc: Communication-Efficient Distributed Training of Sparse and Quantized Models
Summary pending...
TMLR2025
Trustworthy and Responsible AI for Human-Centric Autonomous Decision-Making Systems
Summary pending...
TMLR2025
Balancing Utility and Privacy: Dynamically Private SGD with Random Projection
Summary pending...
TMLR2025
CAREL: Instruction-guided reinforcement learning with cross-modal auxiliary objectives
Summary pending...
TMLR2025
Robustness in Large Language Models: A Survey of Mitigation Strategies and Evaluation Metrics
Summary pending...