When Do Curricula Work?

5 December 2020

Papers citing "When Do Curricula Work?"

30 / 30 papers shown

Title
Denoising Task Difficulty-based Curriculum for Training Diffusion Models Jin-Young Kim Hyojun Go Soonwoo Kwon Hyun-Gyoon Kim DiffM 54 6 0 15 Mar 2024
Instruction Tuning with Human Curriculum Bruce W. Lee Hyunsoo Cho Kang Min Yoo 45 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 20 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 30 41 0 07 Apr 2023
Distillation from Heterogeneous Models for Top-K Recommendation SeongKu Kang Wonbin Kweon Dongha Lee Jianxun Lian Xing Xie Hwanjo Yu VLM 32 21 0 02 Mar 2023
Maneuver Decision-Making For Autonomous Air Combat Through Curriculum Learning And Reinforcement Learning With Sparse Rewards Yuxin Wei Hong-Peng Zhang Chang Huang 18 3 0 12 Feb 2023
CUDA: Curriculum of Data Augmentation for Long-Tailed Recognition Sumyeong Ahn Jongwoo Ko Se-Young Yun 31 30 0 10 Feb 2023
When Do Curricula Work in Federated Learning? Saeed Vahidian Sreevatsank Kadaveru Woo-Ram Baek Weijia Wang Vyacheslav Kungurtsev Cheng Chen M. Shah Bill Lin FedML 40 11 0 24 Dec 2022
Training Dynamics for Curriculum Learning: A Study on Monolingual and Cross-lingual NLU Fenia Christopoulou Gerasimos Lampouras Ignacio Iacobacci 40 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 37 3 0 17 Oct 2022
CRISP: Curriculum based Sequential Neural Decoders for Polar Code Family Ashwin Hebbar Viraj Nadkarni Ashok Vardhan Makkuva S. Bhat Sewoong Oh Pramod Viswanath 27 6 0 01 Oct 2022
Lazy vs hasty: linearization in deep networks impacts learning schedule based on example difficulty Thomas George Guillaume Lajoie A. Baratin 28 5 0 19 Sep 2022
PercentMatch: Percentile-based Dynamic Thresholding for Multi-Label Semi-Supervised Classification Jun Huang Alexander Huang Beatriz C. Guerra Yen-Yun Yu 27 4 0 30 Aug 2022
What Can Transformers Learn In-Context? A Case Study of Simple Function Classes Shivam Garg Dimitris Tsipras Percy Liang Gregory Valiant 26 449 0 01 Aug 2022
Rank-based Decomposable Losses in Machine Learning: A Survey Shu Hu Xin Wang Siwei Lyu 35 32 0 18 Jul 2022
Grounding Aleatoric Uncertainty for Unsupervised Environment Design Minqi Jiang Michael Dennis Jack Parker-Holder Andrei Lupu Heinrich Küttler Edward Grefenstette Tim Rocktaschel Jakob N. Foerster 43 13 0 11 Jul 2022
Efficient Scheduling of Data Augmentation for Deep Reinforcement Learning Byungchan Ko Jungseul Ok OnRL 11 5 0 01 Jun 2022
The Effect of Task Ordering in Continual Learning Samuel J. Bell Neil D. Lawrence CLL 48 17 0 26 May 2022
Goldilocks-curriculum Domain Randomization and Fractal Perlin Noise with Application to Sim2Real Pneumonia Lesion Detection Takahiro Suzuki S. Hanaoka Issei Sato OOD MedIm 26 1 0 29 Apr 2022
Cyclical Curriculum Learning Himmet Toprak Kesgin M. Amasyalı ODL 19 8 0 11 Feb 2022
Interpretable Low-Resource Legal Decision Making R. Bhambhoria Hui Liu Samuel Dahan Xiao-Dan Zhu ELM AILaw 27 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 41 76 0 25 Nov 2021
SSR: An Efficient and Robust Framework for Learning with Unknown Label Noise Chen Feng Georgios Tzimiropoulos Ioannis Patras NoLa 21 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 29 63 0 29 Jul 2021
Progressive Class-based Expansion Learning For Image Classification Hui Wang Hanbin Zhao Xi Li 17 0 0 28 Jun 2021
Deep Learning Through the Lens of Example Difficulty R. Baldock Hartmut Maennel Behnam Neyshabur 47 155 0 17 Jun 2021
An Analytical Theory of Curriculum Learning in Teacher-Student Networks Luca Saglietti Stefano Sarao Mannelli Andrew M. Saxe 22 25 0 15 Jun 2021
Gradual Domain Adaptation in the Wild:When Intermediate Distributions are Absent Samira Abnar Rianne van den Berg Golnaz Ghiasi Mostafa Dehghani Nal Kalchbrenner Hanie Sedghi OOD CLL TTA 23 21 0 10 Jun 2021
Self-Diagnosing GAN: Diagnosing Underrepresented Samples in Generative Adversarial Networks J. Lee Haeri Kim Youngkyu Hong Hye Won Chung 25 21 0 24 Feb 2021
Curriculum Loss: Robust Learning and Generalization against Label Corruption Yueming Lyu Ivor W. Tsang NoLa 61 172 0 24 May 2019