Asia
Generative Neural Fields by Mixtures of Neural Implicit Functions Tackgeun You
We propose a novel approach to learning the generative neural fields represented by linear combinations of implicit basis networks.
AFEC: Active Forgetting of Negative Transfer in Continual Learning Liyuan Wang
Continual learning aims to learn a sequence of tasks from dynamic data distributions.
A Critical Evaluation of AI Feedback for Aligning Large Language Models
Learning from AI feedback (LAIF) is a popular paradigm for improving the instruction-following abilities of powerful pre-trained language models.
List-Decodable Sparse Mean Estimation
Given 2 (0,12] and 2 (0,1), letT bethesamplesetgiventothe learner.
PIE-NET: ParametricInferenceofPointCloudEdges
We represent these edges as a collection of parametric curves(i.e., lines, circles, and B-splines).
