On The Power of Curriculum Learning in Training Deep Networks

7 April 2019

Papers citing "On The Power of Curriculum Learning in Training Deep Networks"

50 / 219 papers shown

Title
The Lean Data Scientist: Recent Advances towards Overcoming the Data Bottleneck Chen Shani Jonathan Zarecki Dafna Shahaf 29 6 0 15 Nov 2022
FedCL: Federated Multi-Phase Curriculum Learning to Synchronously Correlate User Heterogeneity Mingjie Wang Jianxiong Guo Weijia Jia 29 6 0 14 Nov 2022
Less Emphasis on Difficult Layer Regions: Curriculum Learning for Singularly Perturbed Convection-Diffusion-Reaction Problems Yufeng Wang Cong Xu Min Yang Jin Zhang 11 4 0 23 Oct 2022
Training Dynamics for Curriculum Learning: A Study on Monolingual and Cross-lingual NLU Fenia Christopoulou Gerasimos Lampouras Ignacio Iacobacci 48 3 0 22 Oct 2022
CNT (Conditioning on Noisy Targets): A new Algorithm for Leveraging Top-Down Feedback Alexia Jolicoeur-Martineau Alex Lamb Vikas Verma Aniket Didolkar NoLa 13 0 0 18 Oct 2022
Compute-Efficient Deep Learning: Algorithmic Trends and Opportunities Brian Bartoldson B. Kailkhura Davis W. Blalock 31 47 0 13 Oct 2022
Adaptively Weighted Data Augmentation Consistency Regularization for Robust Optimization under Concept Shift Yijun Dong Yuege Xie Rachel A. Ward OOD 17 0 0 04 Oct 2022
CES-KD: Curriculum-based Expert Selection for Guided Knowledge Distillation Ibtihel Amara M. Ziaeefard B. Meyer W. Gross J. Clark 18 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 27 4 0 30 Aug 2022
Dynamic Data-Free Knowledge Distillation by Easy-to-Hard Learning Strategy Jingru Li Sheng Zhou Liangcheng Li Haishuai Wang Zhi Yu Jiajun Bu 34 14 0 29 Aug 2022
From Easy to Hard: A Dual Curriculum Learning Framework for Context-Aware Document Ranking Yutao Zhu J. Nie Yixuan Su Haonan Chen Xinyu Zhang Zhicheng Dou 27 11 0 22 Aug 2022
DiscrimLoss: A Universal Loss for Hard Samples and Incorrect Samples Discrimination Tingting Wu Xiao Ding Hao Zhang Jin-Fang Gao Li Du Bing Qin Ting Liu 49 9 0 21 Aug 2022
Crowd Counting on Heavily Compressed Images with Curriculum Pre-Training Arian Bakhtiarnia Qi Zhang Alexandros Iosifidis 25 1 0 15 Aug 2022
Confidence-Guided Learning Process for Continuous Classification of Time Series Chenxi Sun Moxian Song D. Cai B. Zhang linda Qiao Hongyan Li 14 6 0 14 Aug 2022
Comparison and Analysis of New Curriculum Criteria for End-to-End ASR Georgios Karakasidis Tamás Grósz M. Kurimo 22 2 0 10 Aug 2022
On the Importance of Critical Period in Multi-stage Reinforcement Learning Junseok Park Inwoo Hwang Min Whoo Lee Hyunseok Oh Minsu Lee Youngki Lee Byoung-Tak Zhang OffRL 24 0 0 09 Aug 2022
SHIFT: A Synthetic Driving Dataset for Continuous Multi-Task Domain Adaptation Tao Sun Mattia Segu Janis Postels Yuxuan Wang Luc Van Gool Bernt Schiele F. Tombari Feng Yu TTA 52 149 0 16 Jun 2022
CLNode: Curriculum Learning for Node Classification Xiaowen Wei Xiuwen Gong Yibing Zhan Bo Du Yong Luo Wenbin Hu 25 27 0 15 Jun 2022
The Effect of Task Ordering in Continual Learning Samuel J. Bell Neil D. Lawrence CLL 48 17 0 26 May 2022
Learning Rate Curriculum Florinel-Alin Croitoru Nicolae-Cătălin Ristea Radu Tudor Ionescu N. Sebe 17 9 0 18 May 2022
Detecting, Tracking and Counting Motorcycle Rider Traffic Violations on Unconstrained Roads Aman Goyal Dev Agarwal A. Subramanian C. V. Jawahar Ravi Kiran Sarvadevabhatla Rohit Saluja 19 14 0 18 Apr 2022
Q-TART: Quickly Training for Adversarial Robustness and in-Transferability Madan Ravi Ganesh Salimeh Yasaei Sekeh Jason J. Corso AAML 29 0 0 14 Apr 2022
GloCAL: Glocalized Curriculum-Aided Learning of Multiple Tasks with Application to Robotic Grasping Anil Kurkcu C. Acar D. Campolo K. P. Tee 37 1 0 14 Apr 2022
Pretraining Text Encoders with Adversarial Mixture of Training Signal Generators Yu Meng Chenyan Xiong Payal Bajaj Saurabh Tiwary Paul N. Bennett Jiawei Han Xia Song MoE 39 16 0 07 Apr 2022
Learning to Solve Travelling Salesman Problem with Hardness-adaptive Curriculum Zeyang Zhang Ziwei Zhang Xin Wang Wenwu Zhu 26 42 0 07 Apr 2022
Improving Monocular Visual Odometry Using Learned Depth Libo Sun Wei Yin Enze Xie Zhengrong Li Changming Sun Chunhua Shen MDE 29 26 0 04 Apr 2022
Selecting task with optimal transport self-supervised learning for few-shot classification Renjie Xu Xinghao Yang Baodi Liu Kai Zhang Weifeng Liu OT OODD 27 2 0 01 Apr 2022
Data Selection Curriculum for Neural Machine Translation Tasnim Mohiuddin Philipp Koehn Vishrav Chaudhary James Cross Shruti Bhosale Chenyu You 35 11 0 25 Mar 2022
Was that so hard? Estimating human classification difficulty Morten Rieger Hannemose Josefine Vilsbøll Sundgaard N. K. Ternov Rasmus Paulsen Anders Christensen 20 4 0 22 Mar 2022
Making Recommender Systems Forget: Learning and Unlearning for Erasable Recommendation Yuyuan Li Xiaolin Zheng Chaochao Chen Junlin Liu MU 42 40 0 22 Mar 2022
Knock, knock. Who's there? -- Identifying football player jersey numbers with synthetic data D. Bhargavi Erika Pelaez Coyotl Sia Gholami 37 16 0 01 Mar 2022
Exploring with Sticky Mittens: Reinforcement Learning with Expert Interventions via Option Templates Souradeep Dutta Kaustubh Sridhar Osbert Bastani Yan Sun James Weimer Insup Lee J. Parish-Morris 25 2 0 25 Feb 2022
Deconstructing Distributions: A Pointwise Framework of Learning Gal Kaplun Nikhil Ghosh Saurabh Garg Boaz Barak Preetum Nakkiran OOD 33 21 0 20 Feb 2022
Curriculum optimization for low-resource speech recognition Anastasia Kuznetsova Anurag Kumar Jennifer Drexler Fox Francis M. Tyers 29 3 0 17 Feb 2022
Cyclical Curriculum Learning Himmet Toprak Kesgin M. Amasyalı ODL 19 8 0 11 Feb 2022
Development and Comparison of Scoring Functions in Curriculum Learning Himmet Toprak Kesgin M. Fatih Amasyali 19 3 0 10 Feb 2022
Unsupervised Long-Term Person Re-Identification with Clothes Change Mingkun Li Shupeng Cheng Peng Xu Xiatian Zhu Chun-Guang Li Jun Guo OOD 18 2 0 07 Feb 2022
Active Learning on a Budget: Opposite Strategies Suit High and Low Budgets Guy Hacohen Avihu Dekel D. Weinshall 129 116 0 06 Feb 2022
FedBalancer: Data and Pace Control for Efficient Federated Learning on Heterogeneous Clients Jaemin Shin Yuanchun Li Yunxin Liu Sung-Ju Lee FedML 17 74 0 05 Jan 2022
Curriculum Meta-Learning for Few-shot Classification Emmanouil Stergiadis Priyanka Agrawal Oliver Squire VLM 11 5 0 06 Dec 2021
Bridging Pre-trained Models and Downstream Tasks for Source Code Understanding Deze Wang Zhouyang Jia Shanshan Li Yue Yu Yun Xiong Wei Dong Xiangke Liao 38 80 0 04 Dec 2021
Curriculum Learning for Vision-and-Language Navigation Jiwen Zhang Zhongyu Wei Jianqing Fan J. Peng LM&Ro 26 21 0 14 Nov 2021
How Important is Importance Sampling for Deep Budgeted Training? Eric Arazo Diego Ortego Paul Albert Noel E. O'Connor Kevin McGuinness 23 7 0 27 Oct 2021
Meta-learning with an Adaptive Task Scheduler Huaxiu Yao Yu-Xiang Wang Ying Wei P. Zhao M. Mahdavi Defu Lian Chelsea Finn OOD 30 46 0 26 Oct 2021
On Hard Episodes in Meta-Learning S. Basu Amr Sharaf Nicolò Fusi S. Feizi 8 1 0 21 Oct 2021
FlexMatch: Boosting Semi-Supervised Learning with Curriculum Pseudo Labeling Bowen Zhang Yidong Wang Wenxin Hou Hao Wu Jindong Wang Manabu Okumura T. Shinozaki AAML 255 863 0 15 Oct 2021
Which Samples Should be Learned First: Easy or Hard? Xiaoling Zhou Ou Wu 26 17 0 11 Oct 2021
CLEVA-Compass: A Continual Learning EValuation Assessment Compass to Promote Research Transparency and Comparability Martin Mundt Steven Braun Quentin Delfosse Kristian Kersting 27 35 0 07 Oct 2021
The Grammar-Learning Trajectories of Neural Language Models Leshem Choshen Guy Hacohen D. Weinshall Omri Abend 29 28 0 13 Sep 2021
Efficient Contrastive Learning via Novel Data Augmentation and Curriculum Learning Seonghyeon Ye Jiseon Kim Alice H. Oh CLL VLM 24 21 0 10 Sep 2021