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When Do Curricula Work?

5 December 2020

Papers citing "When Do Curricula Work?"

50 / 83 papers shown

Title
Distinct Computations Emerge From Compositional Curricula in In-Context Learning Jin Hwa Lee Andrew Kyle Lampinen Aaditya K. Singh Andrew Saxe 40 0 0 16 Jun 2025
Beyond Random Sampling: Efficient Language Model Pretraining via Curriculum Learning Yang Zhang Amr Mohamed Hadi Abdine Guokan Shang Michalis Vazirgiannis 39 0 0 12 Jun 2025
MentalMAC: Enhancing Large Language Models for Detecting Mental Manipulation via Multi-Task Anti-Curriculum Distillation Yuansheng Gao Han Bao Tong Zhang Bin Li Zonghui Wang Wenzhi Chen 109 1 0 21 May 2025
Co-STAR: Collaborative Curriculum Self-Training with Adaptive Regularization for Source-Free Video Domain Adaptation Amirhossein Dadashzadeh Parsa Esmati Majid Mirmehdi TTA VLM 115 0 0 15 Apr 2025
Enlightenment Period Improving DNN Performance Tiantian Liu Weishi Xu Meng Wan Jue Wang 69 0 0 02 Apr 2025
Does the Definition of Difficulty Matter? Scoring Functions and their Role for Curriculum Learning Simon Rampp M. Milling Andreas Triantafyllopoulos Björn Schuller 86 1 0 01 Nov 2024
Exploring Curriculum Learning for Vision-Language Tasks: A Study on Small-Scale Multimodal Training Rohan Saha Abrar Fahim Alona Fyshe Alex Murphy 62 0 0 20 Oct 2024
Adaptive Data Optimization: Dynamic Sample Selection with Scaling Laws Yiding Jiang Allan Zhou Zhili Feng Sadhika Malladi J. Zico Kolter 120 24 0 15 Oct 2024
Leveraging Perceptual Scores for Dataset Pruning in Computer Vision Tasks Raghavendra Singh 76 0 0 14 Aug 2024
Polynomial Regression as a Task for Understanding In-context Learning Through Finetuning and Alignment Max Wilcoxson Morten Svendgård Ria Doshi Dylan Davis Reya Vir Anant Sahai 53 0 0 27 Jul 2024
Dynamic Data Pruning for Automatic Speech Recognition Q. Xiao Pingchuan Ma Adriana Fernandez-Lopez Boqian Wu Lu Yin Stavros Petridis Mykola Pechenizkiy Maja Pantic Decebal Constantin Mocanu Shiwei Liu 101 4 0 26 Jun 2024
Tilting the Odds at the Lottery: the Interplay of Overparameterisation and Curricula in Neural Networks Stefano Sarao Mannelli Yaraslau Ivashinka Andrew M. Saxe Luca Saglietti 84 4 0 03 Jun 2024
Rethinking Teacher-Student Curriculum Learning through the Cooperative Mechanics of Experience Manfred Diaz Liam Paull Andrea Tacchetti 132 0 0 03 Apr 2024
Scheduled Knowledge Acquisition on Lightweight Vector Symbolic Architectures for Brain-Computer Interfaces Yejia Liu Shijin Duan Xiaolin Xu Shaolei Ren 110 1 0 18 Mar 2024
Denoising Task Difficulty-based Curriculum for Training Diffusion Models Jin-Young Kim Hyojun Go Soonwoo Kwon Hyun-Gyoon Kim DiffM 192 6 0 15 Mar 2024
Vygotsky Distance: Measure for Benchmark Task Similarity Maxim K. Surkov Ivan P. Yamshchikov 93 0 0 22 Feb 2024
Curriculum for Crowd Counting -- Is it Worthy? Muhammad Asif Khan Hamid Menouar R. Hamila 83 1 0 15 Jan 2024
Curricular and Cyclical Loss for Time Series Learning Strategy Chenxi Sun Hongyan Li Moxian Song D. Cai linda Qiao 68 1 0 26 Dec 2023
Resource-constrained knowledge diffusion processes inspired by human peer learning Ehsan Beikihassan Amy K. Hoover Ioannis Koutis Alipanah Parviz Niloofar Aghaieabiane 89 0 0 01 Dec 2023
CLIMB: Curriculum Learning for Infant-inspired Model Building Richard Diehl Martinez Zébulon Goriely Hope McGovern Christopher Davis Andrew Caines P. Buttery Lisa Beinborn 88 13 0 15 Nov 2023
Ling-CL: Understanding NLP Models through Linguistic Curricula Mohamed Elgaar Hadi Amiri 85 2 0 31 Oct 2023
A Comprehensive Study of Privacy Risks in Curriculum Learning Joann Qiongna Chen Xinlei He Zheng Li Yang Zhang Zhou Li 136 2 0 16 Oct 2023
Instruction Tuning with Human Curriculum Bruce W. Lee Hyunsoo Cho Kang Min Yoo 109 4 0 14 Oct 2023
On the Benefit of Optimal Transport for Curriculum Reinforcement Learning Pascal Klink Carlo DÉramo Jan Peters Joni Pajarinen 94 4 0 25 Sep 2023
Sudden Drops in the Loss: Syntax Acquisition, Phase Transitions, and Simplicity Bias in MLMs Angelica Chen Ravid Schwartz-Ziv Kyunghyun Cho Matthew L. Leavitt Naomi Saphra 147 75 0 13 Sep 2023
Skill-it! A Data-Driven Skills Framework for Understanding and Training Language Models Mayee F. Chen Nicholas Roberts Kush S. Bhatia Jue Wang Ce Zhang Frederic Sala Christopher Ré SyDa 90 66 0 26 Jul 2023
Curriculum Learning for Graph Neural Networks: A Multiview Competence-based Approach Nidhi Vakil Hadi Amiri 97 3 0 17 Jul 2023
HuCurl: Human-induced Curriculum Discovery Mohamed Elgaar Hadi Amiri 48 0 0 14 Jul 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 145 45 0 12 Jul 2023
Integrating Curricula with Replays: Its Effects on Continual Learning Ren Jie Tee Mengmi Zhang KELM CLL 111 1 0 08 Jul 2023
Curriculum-Based Augmented Fourier Domain Adaptation for Robust Medical Image Segmentation An-Chi Wang Mobarakol Islam Mengya Xu Hongliang Ren OOD 80 15 0 06 Jun 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 112 44 0 07 Apr 2023
HYperbolic Self-Paced Learning for Self-Supervised Skeleton-based Action Representations Luca Franco Paolo Mandica Bharti Munjal Fabio Galasso SSL 3DH 77 37 0 10 Mar 2023
Distillation from Heterogeneous Models for Top-K Recommendation SeongKu Kang Wonbin Kweon Dongha Lee Jianxun Lian Xing Xie Hwanjo Yu VLM 64 22 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 61 4 0 12 Feb 2023
CUDA: Curriculum of Data Augmentation for Long-Tailed Recognition Sumyeong Ahn Jongwoo Ko Se-Young Yun 144 32 0 10 Feb 2023
Diversity Induced Environment Design via Self-Play Dexun Li Wenjun Li Pradeep Varakantham 84 0 0 04 Feb 2023
Paced-Curriculum Distillation with Prediction and Label Uncertainty for Image Segmentation Mobarakol Islam Lalithkumar Seenivasan S. Sharan V. Viekash Bhavesh Gupta Ben Glocker Hongliang Ren 103 9 0 02 Feb 2023
Data Valuation Without Training of a Model Nohyun Ki Hoyong Choi Hye Won Chung TDI 100 35 0 03 Jan 2023
When Do Curricula Work in Federated Learning? Saeed Vahidian Sreevatsank Kadaveru Woo-Ram Baek Weijia Wang Vyacheslav Kungurtsev Chong Chen M. Shah Bill Lin FedML 98 11 0 24 Dec 2022
CLIP: Train Faster with Less Data Muhammad Asif Khan R. Hamila Hamid Menouar VLM 124 5 0 02 Dec 2022
Learning to Learn: How to Continuously Teach Humans and Machines Parantak Singh You Li Ankur Sikarwar Weixian Lei Daniel Gao Morgan B. Talbot Ying Sun Mike Zheng Shou Gabriel Kreiman Mengmi Zhang CLL 94 6 0 28 Nov 2022
Training Dynamics for Curriculum Learning: A Study on Monolingual and Cross-lingual NLU Fenia Christopoulou Gerasimos Lampouras Ignacio Iacobacci 117 4 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 107 3 0 17 Oct 2022
Navigating Memory Construction by Global Pseudo-Task Simulation for Continual Learning Yejia Liu Wang Zhu Shaolei Ren CLL 74 3 0 16 Oct 2022
Compute-Efficient Deep Learning: Algorithmic Trends and Opportunities Brian Bartoldson B. Kailkhura Davis W. Blalock 123 52 0 13 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 102 8 0 01 Oct 2022
Lazy vs hasty: linearization in deep networks impacts learning schedule based on example difficulty Thomas George Guillaume Lajoie A. Baratin 87 6 0 19 Sep 2022
CES-KD: Curriculum-based Expert Selection for Guided Knowledge Distillation Ibtihel Amara M. Ziaeefard B. Meyer W. Gross J. Clark 57 4 0 15 Sep 2022
PercentMatch: Percentile-based Dynamic Thresholding for Multi-Label Semi-Supervised Classification Jun Huang Alexander Huang Beatriz C. Guerra Yen-Yun Yu 68 5 0 30 Aug 2022