Papers
12094 papers
TMLR2025
Salsa Fresca: Angular Embeddings and Pre-Training for ML Attacks on Learning With Errors
Summary pending...
TMLR2025
Early Directional Convergence in Deep Homogeneous Neural Networks for Small Initializations
Summary pending...
TMLR2025
Density of states in neural networks: an in-depth exploration of learning in parameter space
Summary pending...
TMLR2025
Relationship between Batch Size and Number of Steps Needed for Nonconvex Optimization of Stochastic Gradient Descent using Armijo-Line-Search Learning Rate
Summary pending...
TMLR2025
Long Short-Term Imputer: Handling Consecutive Missing Values in Time Series
Summary pending...
TMLR2025
When Precision Meets Position: BFloat16 Breaks Down RoPE in Long-Context Training
Summary pending...
TMLR2025
Graph Theory-Based Deep Graph Similarity Learning: A Unified Survey of Pipeline, Techniques, and Challenges
Summary pending...
TMLR2025
The Time-Energy Model: Selective Time-Series Forecasting Using Energy-Based Models
Summary pending...
TMLR2025
Building Blocks for Robust and Effective Semi-Supervised Real-World Object Detection
Summary pending...
TMLR2025
Distributed Quasi-Newton Method for Fair and Fast Federated Learning
Summary pending...
TMLR2025
An Analytical Model for Overparameterized Learning Under Class Imbalance
Summary pending...
TMLR2025
Maximising the Utility of Validation Sets for Imbalanced Noisy-label Meta-learning
Summary pending...