Theory of Curriculum Learning, with Convex Loss Functions

9 December 2018

Papers citing "Theory of Curriculum Learning, with Convex Loss Functions"

11 / 11 papers shown

Title
Denoising Task Difficulty-based Curriculum for Training Diffusion Models Jin-Young Kim Hyojun Go Soonwoo Kwon Hyun-Gyoon Kim DiffM 71 6 0 15 Mar 2024
Navigating Complexity: Toward Lossless Graph Condensation via Expanding Window Matching Yuchen Zhang Tianle Zhang Kai Wang Ziyao Guo Keli Zhang Xavier Bresson Wei Jin Yang You 37 23 0 07 Feb 2024
Instruction Tuning with Human Curriculum Bruce W. Lee Hyunsoo Cho Kang Min Yoo 45 3 0 14 Oct 2023
Proximal Curriculum for Reinforcement Learning Agents Georgios Tzannetos Bárbara Gomes Ribeiro Parameswaran Kamalaruban Adish Singla 32 5 0 25 Apr 2023
A Mathematical Model for Curriculum Learning for Parities Elisabetta Cornacchia Elchanan Mossel 40 10 0 31 Jan 2023
Deep Learning Training Procedure Augmentations Cristian Simionescu 11 1 0 25 Nov 2022
The Dynamic of Consensus in Deep Networks and the Identification of Noisy Labels Daniel Shwartz Uri Stern D. Weinshall NoLa 36 2 0 02 Oct 2022
How catastrophic can catastrophic forgetting be in linear regression? Itay Evron E. Moroshko Rachel A. Ward Nati Srebro Daniel Soudry CLL 30 48 0 19 May 2022
A Hierarchical Assessment of Adversarial Severity Guillaume Jeanneret Juan Pérez Pablo Arbeláez AAML 30 2 0 26 Aug 2021
An Analytical Theory of Curriculum Learning in Teacher-Student Networks Luca Saglietti Stefano Sarao Mannelli Andrew M. Saxe 27 25 0 15 Jun 2021
Curriculum Learning for Reinforcement Learning Domains: A Framework and Survey Sanmit Narvekar Bei Peng Matteo Leonetti Jivko Sinapov Matthew E. Taylor Peter Stone ODL 152 458 0 10 Mar 2020