Education
Value Imprint: AT echnique for Auditing the Human Values Embedded in RLHF Datasets
Our analysis involved a two-phase process.
Private Online Learning via Lazy Algorithms
We study the problem of private online learning, focusing on online prediction from experts (OPE) and online convex optimization (OCO).
Skill-aware Mutual Information Optimisation for Generalisation in Reinforcement Learning
Reinforcement Learning (RL) agents often learn policies that do not generalise across tasks in which the environmental features and optimal skills are different [des Combes et al., 2018, Garcin et al., 2024].
Lean Workbook: A large-scale Lean problem set formalized from natural language math problems
I do believe that problems are the heart of mathematics.
Dual Cone Gradient Descent for Training Physics-Informed Neural Networks Y oungsik Hwang Artificial Intelligence Graduate School UNIST hys3835@unist.ac.kr Dong-Y oung Lim
In this paper, we identify that PINNs can be adversely trained when gradients of each loss function exhibit a significant imbalance in their magnitudes and present a negative inner product value.
Computerized Adaptive Testing via Collaborative Ranking
As the deep integration of machine learning and intelligent education, Computerized Adaptive Testing (CA T) has received more and more research attention.