Cs-Lg
Don't Break the Boundary: Continual Unlearning for OOD Detection Based on Free Energy Repulsion
Class Incremental Learning with Task-Specific Batch Normalization and Out-of-Distribution Detection
Dirichlet process mixtures of block $g$ priors for model selection and prediction in linear models
Enhancing Brain Source Reconstruction by Initializing 3D Neural Networks with Physical Inverse Solutions
Reinforcement learning with learned gadgets to tackle hard quantum problems on real hardware
Replay-Free Continual Low-Rank Adaptation with Dynamic Memory
VFScale: Intrinsic Reasoning through Verifier-Free Test-time Scalable Diffusion Model
Federated Sinkhorn
R-MTLLMF: Resilient Multi-Task Large Language Model Fusion at the Wireless Edge
Single-loop Algorithms for Stochastic Non-convex Optimization with Weakly-Convex Constraints
HyperNOs: Automated and Parallel Library for Neural Operators Research
A Taxonomy for Evaluating Generalist Robot Manipulation Policies
Tokenizing Single-Channel EEG with Time-Frequency Motif Learning
Dataset Distillation as Pushforward Optimal Quantization
Robust Real-Time Mortality Prediction in the Intensive Care Unit using Temporal Difference Learning
