When Do Curricula Work?

5 December 2020

Papers citing "When Do Curricula Work?"

18 / 18 papers shown

Title
Denoising Task Difficulty-based Curriculum for Training Diffusion Models Jin-Young Kim Hyojun Go Soonwoo Kwon Hyun-Gyoon Kim DiffM 44 6 0 15 Mar 2024
Instruction Tuning with Human Curriculum Bruce W. Lee Hyunsoo Cho Kang Min Yoo 30 3 0 14 Oct 2023
No Train No Gain: Revisiting Efficient Training Algorithms For Transformer-based Language Models Jean Kaddour Oscar Key Piotr Nawrot Pasquale Minervini Matt J. Kusner 13 41 0 12 Jul 2023
On Efficient Training of Large-Scale Deep Learning Models: A Literature Review Li Shen Yan Sun Zhiyuan Yu Liang Ding Xinmei Tian Dacheng Tao VLM 22 39 0 07 Apr 2023
CUDA: Curriculum of Data Augmentation for Long-Tailed Recognition Sumyeong Ahn Jongwoo Ko Se-Young Yun 16 29 0 10 Feb 2023
When Do Curricula Work in Federated Learning? Saeed Vahidian Sreevatsank Kadaveru Woo-Ram Baek Weijia Wang Vyacheslav Kungurtsev C. L. P. Chen M. Shah Bill Lin FedML 25 11 0 24 Dec 2022
Training Dynamics for Curriculum Learning: A Study on Monolingual and Cross-lingual NLU Fenia Christopoulou Gerasimos Lampouras Ignacio Iacobacci 24 3 0 22 Oct 2022
Dual-Curriculum Teacher for Domain-Inconsistent Object Detection in Autonomous Driving L. Yu Yifan Zhang Lanqing Hong Fei Chen Zhenguo Li 27 3 0 17 Oct 2022
What Can Transformers Learn In-Context? A Case Study of Simple Function Classes Shivam Garg Dimitris Tsipras Percy Liang Gregory Valiant 19 446 0 01 Aug 2022
Rank-based Decomposable Losses in Machine Learning: A Survey Shu Hu Xin Wang Siwei Lyu 21 32 0 18 Jul 2022
The Effect of Task Ordering in Continual Learning Samuel J. Bell Neil D. Lawrence CLL 41 17 0 26 May 2022
Cyclical Curriculum Learning Himmet Toprak Kesgin M. Amasyalı ODL 14 8 0 11 Feb 2022
Interpretable Low-Resource Legal Decision Making R. Bhambhoria Hui Liu Samuel Dahan Xiao-Dan Zhu ELM AILaw 14 9 0 01 Jan 2022
ACPL: Anti-curriculum Pseudo-labelling for Semi-supervised Medical Image Classification Fengbei Liu Yu Tian Yuanhong Chen Yuyuan Liu Vasileios Belagiannis G. Carneiro 28 75 0 25 Nov 2021
SSR: An Efficient and Robust Framework for Learning with Unknown Label Noise Chen Feng Georgios Tzimiropoulos Ioannis Patras NoLa 19 18 0 22 Nov 2021
Self-Paced Contrastive Learning for Semi-supervised Medical Image Segmentation with Meta-labels Jizong Peng Ping Wang Chrisitian Desrosiers M. Pedersoli SSL 22 62 0 29 Jul 2021
Progressive Class-based Expansion Learning For Image Classification Hui Wang Hanbin Zhao Xi Li 17 0 0 28 Jun 2021
Curriculum Loss: Robust Learning and Generalization against Label Corruption Yueming Lyu Ivor W. Tsang NoLa 47 170 0 24 May 2019