Education
Implicit Regularization of Sharpness-Aware Minimization for Scale-Invariant Problems
This allows us to depict richer global behaviors of SAM.
Easy2Hard-Bench: Standardized Difficulty Labels for Profiling LLM Performance and Generalization
Aiming to address this limitation, we present Easy2Hard-Bench, a consistently formatted collection of 6 benchmark datasets spanning various domains, such as mathematics and programming problems, chess puzzles, and reasoning questions.
Parsel: Algorithmic Reasoning with Language Models by Composing Decompositions
We introduce Parsel, a framework enabling automatic implementation and validation of complex algorithms with code LLMs.
Actively Testing Y our Model While It Learns: Realizing Label-Efficient Learning in Practice Dayou Yu
In active learning (AL), we focus on reducing the data annotation cost from the model training perspective. However, "testing", which often refers to the model
Random Path Selection for Continual Learning
Jathushan Rajasegaran, Munawar Hayat, Salman H. Khan, Fahad Shahbaz Khan, Ling Shao
Neural Information Processing Systems http://nips.cc/
