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
Curriculum-Enhanced Residual Soft An-Isotropic Normalization for Over-smoothness in Deep GNNs Jin Li Qirong Zhang Shuling Xu Xinlong Chen Longkun Guo Yanglan Fu 29 0 0 13 Dec 2023
Not All Negatives Are Worth Attending to: Meta-Bootstrapping Negative Sampling Framework for Link Prediction Yakun Wang Binbin Hu Shuo Yang Meiqi Zhu Qing Cui Qiyang Zhang Jun Zhou Guo Ye Huimei He 30 0 0 08 Dec 2023
A-JEPA: Joint-Embedding Predictive Architecture Can Listen Zhengcong Fei Mingyuan Fan Junshi Huang 25 17 0 27 Nov 2023
Curriculum Learning and Imitation Learning for Model-free Control on Financial Time-series Woosung Koh Insu Choi Yuntae Jang Gimin Kang Woo Chang Kim 28 1 0 22 Nov 2023
Leveraging a realistic synthetic database to learn Shape-from-Shading for estimating the colon depth in colonoscopy images Josué Ruano Martín Gómez Eduardo Romero Antoine Manzanera MedIm 27 4 0 08 Nov 2023
CLearViD: Curriculum Learning for Video Description Cheng-Yu Chuang Pooyan Fazli 38 1 0 08 Nov 2023
ProcSim: Proxy-based Confidence for Robust Similarity Learning Oriol Barbany Xiaofan Lin Muhammet Bastan Arnab Dhua 19 2 0 01 Nov 2023
Dynamic Task and Weight Prioritization Curriculum Learning for Multimodal Imagery H. F. Alsan Taner Arsan 18 2 0 29 Oct 2023
Curriculum Learning for Graph Neural Networks: Which Edges Should We Learn First Zhengwu Zhang Junxiang Wang Liang Zhao 42 13 0 28 Oct 2023
DoGE: Domain Reweighting with Generalization Estimation Simin Fan Matteo Pagliardini Martin Jaggi 32 33 0 23 Oct 2023
Two-Stage Triplet Loss Training with Curriculum Augmentation for Audio-Visual Retrieval Donghuo Zeng Kazushi Ikeda 30 1 0 20 Oct 2023
$Measuring Pointwise $\mathcal{V}$-Usable Information In-Context-ly$ Measuring Pointwise $\mathcal{V}$ -Usable Information In-Context-ly Sheng Lu Shan Chen Yingya Li Danielle Bitterman G. Savova Iryna Gurevych 19 0 0 18 Oct 2023
Harnessing Dataset Cartography for Improved Compositional Generalization in Transformers Osman Batur .Ince Tanin Zeraati Semih Yagcioglu Yadollah Yaghoobzadeh Erkut Erdem Aykut Erdem 24 1 0 18 Oct 2023
A Comprehensive Study of Privacy Risks in Curriculum Learning Joann Qiongna Chen Xinlei He Zheng Li Yang Zhang Zhou Li 54 2 0 16 Oct 2023
Modularity in Deep Learning: A Survey Haozhe Sun Isabelle Guyon MoMe 35 2 0 02 Oct 2023
Digital Twin-based Anomaly Detection with Curriculum Learning in Cyber-physical Systems Geri Skenderi Hang Li T. Yue 42 21 0 27 Sep 2023
Continual Driving Policy Optimization with Closed-Loop Individualized Curricula Haoyi Niu Yi Tian Xu Xingjian Jiang Jianming Hu 33 3 0 25 Sep 2023
SHAPE: A Sample-adaptive Hierarchical Prediction Network for Medication Recommendation Sicen Liu Xiaolong Wang Jingcheng Du Yongshuai Hou Xianbing Zhao Hui Xu Hui Wang Yang Xiang Buzhou Tang 9 7 0 09 Sep 2023
CDFSL-V: Cross-Domain Few-Shot Learning for Videos Sarinda Samarasinghe Mamshad Nayeem Rizve Navid Kardan M. Shah 25 11 0 07 Sep 2023
Fast FixMatch: Faster Semi-Supervised Learning with Curriculum Batch Size John Chen Chen Dun Anastasios Kyrillidis 21 2 0 07 Sep 2023
CL-MAE: Curriculum-Learned Masked Autoencoders Neelu Madan Nicolae-Cătălin Ristea Kamal Nasrollahi T. Moeslund Radu Tudor Ionescu 19 10 0 31 Aug 2023
Pruning the Unlabeled Data to Improve Semi-Supervised Learning Guy Hacohen D. Weinshall SSL 21 1 0 27 Aug 2023
Late Stopping: Avoiding Confidently Learning from Mislabeled Examples Suqin Yuan Lei Feng Tongliang Liu NoLa 43 11 0 26 Aug 2023
Curriculum Learning with Adam: The Devil Is in the Wrong Details Leon Weber Jaap Jumelet Paul Michel Elia Bruni Dieuwke Hupkes ODL 18 3 0 23 Aug 2023
Self-Directed Linear Classification Ilias Diakonikolas Vasilis Kontonis Christos Tzamos Nikos Zarifis 40 4 0 06 Aug 2023
Provable Advantage of Curriculum Learning on Parity Targets with Mixed Inputs Emmanuel Abbe Elisabetta Cornacchia Aryo Lotfi 30 11 0 29 Jun 2023
How to Select Which Active Learning Strategy is Best Suited for Your Specific Problem and Budget Guy Hacohen D. Weinshall 38 8 0 06 Jun 2023
GaitMPL: Gait Recognition with Memory-Augmented Progressive Learning Huanzhang Dou Pengyi Zhang Yuhan Zhao Lin Dong Zequn Qin Xi Li CVBM VLM 33 24 0 06 Jun 2023
(Machine) Learning to Be Like Thee? For Algorithm Education, Not Training Susana Perez Blazquez Inas Hipolito FaML 15 0 0 20 May 2023
A Curriculum View of Robust Loss Functions Zebin Ou Yue Zhang NoLa 25 0 0 03 May 2023
Generalizable Deep Learning Method for Suppressing Unseen and Multiple MRI Artifacts Using Meta-learning Arun Palla Sriprabha Ramanarayanan Keerthi Ram M. Sivaprakasam MedIm 27 0 0 13 Apr 2023
WebBrain: Learning to Generate Factually Correct Articles for Queries by Grounding on Large Web Corpus Hongjing Qian Yutao Zhu Zhicheng Dou Haoqi Gu Xinyu Zhang Zheng Liu Ruofei Lai Bo Zhao J. Nie Ji-Rong Wen 38 25 0 10 Apr 2023
Curricular Object Manipulation in LiDAR-based Object Detection Ziyue Zhu Qiang Meng Tianlin Li Ke Wang Liujiang Yan Jian Yang 3DPC 30 9 0 09 Apr 2023
A Challenging Benchmark for Low-Resource Learning Yudong Wang Chang Ma Qingxiu Dong Lingpeng Kong Jingjing Xu 64 3 0 07 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 43 30 0 10 Feb 2023
LCDnet: A Lightweight Crowd Density Estimation Model for Real-time Video Surveillance Muhammad Asif Khan Hamid Menouar R. Hamila 27 28 0 10 Feb 2023
MAPS: A Noise-Robust Progressive Learning Approach for Source-Free Domain Adaptive Keypoint Detection Yuhe Ding Jian Liang Bo Jiang A. Zheng Ran He 3DPC 24 8 0 09 Feb 2023
Curriculum Graph Machine Learning: A Survey Haoyang Li Xin Wang Wenwu Zhu 30 16 0 06 Feb 2023
MILO: Model-Agnostic Subset Selection Framework for Efficient Model Training and Tuning Krishnateja Killamsetty A. Evfimievski Tejaswini Pedapati K. Kate Lucian Popa Rishabh K. Iyer 21 6 0 30 Jan 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
LaSQuE: Improved Zero-Shot Classification from Explanations Through Quantifier Modeling and Curriculum Learning Sayan Ghosh Rakesh R Menon Shashank Srivastava 30 2 0 18 Dec 2022
Graph Neural Network based Child Activity Recognition Sanka Mohottala Pradeepa Samarasinghe D. Kasthurirathna Charith Abhayaratne BDL GNN 18 5 0 18 Dec 2022
Towards Robust Handwritten Text Recognition with On-the-fly User Participation Ajoy Mondal Rohit Saluja C. V. Jawahar HAI 30 0 0 17 Dec 2022
Curriculum Learning Meets Weakly Supervised Modality Correlation Learning Sijie Mai Ya Sun Haifeng Hu 37 2 0 15 Dec 2022
CLIP: Train Faster with Less Data Muhammad Asif Khan R. Hamila Hamid Menouar VLM 39 5 0 02 Dec 2022
ColD Fusion: Collaborative Descent for Distributed Multitask Finetuning Shachar Don-Yehiya Elad Venezian Colin Raffel Noam Slonim Yoav Katz Leshem Choshen MoMe 28 52 0 02 Dec 2022
Deep Learning Training Procedure Augmentations Cristian Simionescu 11 1 0 25 Nov 2022
EfficientTrain: Exploring Generalized Curriculum Learning for Training Visual Backbones Yulin Wang Yang Yue Rui Lu Tian-De Liu Zhaobai Zhong S. Song Gao Huang 37 28 0 17 Nov 2022
LightDepth: A Resource Efficient Depth Estimation Approach for Dealing with Ground Truth Sparsity via Curriculum Learning Fatemeh Karimi Amir Mehrpanah Reza Rawassizadeh 24 1 0 16 Nov 2022