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
Competence-based Curriculum Learning for Multilingual Machine Translation Mingliang Zhang Fandong Meng Y. Tong Jie Zhou 34 16 0 09 Sep 2021
Learning Fast Sample Re-weighting Without Reward Data Zizhao Zhang Tomas Pfister 30 74 0 07 Sep 2021
Training Deep Networks from Zero to Hero: avoiding pitfalls and going beyond M. Ponti Fernando Pereira dos Santos Leo Sampaio Ferraz Ribeiro G. B. Cavallari 33 15 0 06 Sep 2021
A Hierarchical Assessment of Adversarial Severity Guillaume Jeanneret Juan Pérez Pablo Arbeláez AAML 24 2 0 26 Aug 2021
Spatial Transformer Networks for Curriculum Learning Fatemeh Azimi Jean-Francois Nies Sebastián M. Palacio Federico Raue Jörn Hees Andreas Dengel 21 2 0 22 Aug 2021
Improving Self-supervised Learning with Hardness-aware Dynamic Curriculum Learning: An Application to Digital Pathology C. Srinidhi Anne L. Martel 36 22 0 16 Aug 2021
Style Curriculum Learning for Robust Medical Image Segmentation Zhendong Liu Van Manh Xin Yang Xiaoqiong Huang Karim Lekadir Víctor M. Campello Nishant Ravikumar Alejandro F Frangi Dong Ni OOD 23 17 0 01 Aug 2021
Multi-Exit Vision Transformer for Dynamic Inference Arian Bakhtiarnia Qi Zhang Alexandros Iosifidis 36 26 0 29 Jun 2021
Friendly Training: Neural Networks Can Adapt Data To Make Learning Easier Simone Marullo Matteo Tiezzi Marco Gori S. Melacci OOD 8 3 0 21 Jun 2021
Knowledge Distillation via Instance-level Sequence Learning Haoran Zhao Xin Sun Junyu Dong Zihe Dong Qiong Li 34 23 0 21 Jun 2021
Deep Learning Through the Lens of Example Difficulty R. Baldock Hartmut Maennel Behnam Neyshabur 47 156 0 17 Jun 2021
Curriculum generation using Autoencoder based continuous optimization Dipankar Sarkar Mukur Gupta 22 0 0 16 Jun 2021
An Analytical Theory of Curriculum Learning in Teacher-Student Networks Luca Saglietti Stefano Sarao Mannelli Andrew M. Saxe 27 25 0 15 Jun 2021
ClipGen: A Deep Generative Model for Clipart Vectorization and Synthesis I-Chao Shen Bing-Yu Chen 6 28 0 09 Jun 2021
Signal Transformer: Complex-valued Attention and Meta-Learning for Signal Recognition Yihong Dong Ying Peng Muqiao Yang Songtao Lu Qingjiang Shi 40 9 0 05 Jun 2021
A novel multi-scale loss function for classification problems in machine learning L. Berlyand Robert Creese P. Jabin 19 3 0 04 Jun 2021
Training With Data Dependent Dynamic Learning Rates Shreyas Saxena Nidhi Vyas D. DeCoste ODL 6 1 0 27 May 2021
When Deep Classifiers Agree: Analyzing Correlations between Learning Order and Image Statistics Iuliia Pliushch Martin Mundt Nicolas Lupp Visvanathan Ramesh 11 12 0 19 May 2021
Principal Components Bias in Over-parameterized Linear Models, and its Manifestation in Deep Neural Networks Guy Hacohen D. Weinshall 18 10 0 12 May 2021
Distribution Matching for Machine Teaching Xiaofeng Cao Ivor W. Tsang 19 4 0 06 May 2021
LIDAR and Position-Aided mmWave Beam Selection with Non-local CNNs and Curriculum Training Matteo Zecchin Mahdi Boloursaz Mashhadi Mikolaj Jankowski Deniz Gunduz Marios Kountouris David Gesbert 54 53 0 29 Apr 2021
Improving the Accuracy of Early Exits in Multi-Exit Architectures via Curriculum Learning Arian Bakhtiarnia Qi Zhang Alexandros Iosifidis 30 12 0 21 Apr 2021
Manipulating SGD with Data Ordering Attacks Ilia Shumailov Zakhar Shumaylov Dmitry Kazhdan Yiren Zhao Nicolas Papernot Murat A. Erdogdu Ross J. Anderson AAML 112 90 0 19 Apr 2021
A Realistic Evaluation of Semi-Supervised Learning for Fine-Grained Classification Jong-Chyi Su Zezhou Cheng Subhransu Maji 23 57 0 01 Apr 2021
Learning with Memory-based Virtual Classes for Deep Metric Learning ByungSoo Ko Geonmo Gu Han-Gyu Kim VLM 24 28 0 31 Mar 2021
Virtual Normal: Enforcing Geometric Constraints for Accurate and Robust Depth Prediction Wei Yin Yifan Liu Chunhua Shen MDE 22 72 0 07 Mar 2021
AdeNet: Deep learning architecture that identifies damaged electrical insulators in power lines Ademola Okerinde L. Shamir W. Hsu T. Theis 24 3 0 02 Mar 2021
Medical Image Segmentation with Limited Supervision: A Review of Deep Network Models Jialin Peng Ye Wang VLM 14 58 0 28 Feb 2021
Statistical Measures For Defining Curriculum Scoring Function Vinu Sankar Sadasivan A. Dasgupta 22 2 0 27 Feb 2021
Analyzing Curriculum Learning for Sentiment Analysis along Task Difficulty, Pacing and Visualization Axes Anvesh Rao Vijjini Kaveri Anuranjana R. Mamidi 38 2 0 19 Feb 2021
Membership Inference Attacks are Easier on Difficult Problems Avital Shafran Shmuel Peleg Yedid Hoshen MIACV 16 16 0 15 Feb 2021
A Too-Good-to-be-True Prior to Reduce Shortcut Reliance Nikolay Dagaev Brett D. Roads Xiaoliang Luo Daniel N. Barry Kaustubh R. Patil Bradley C. Love 11 8 0 12 Feb 2021
Curriculum Learning: A Survey Petru Soviany Radu Tudor Ionescu Paolo Rota N. Sebe ODL 79 342 0 25 Jan 2021
Leveraging Local Variation in Data: Sampling and Weighting Schemes for Supervised Deep Learning Paul Novello Gaël Poëtte D. Lugato P. Congedo 19 0 0 19 Jan 2021
KNN-enhanced Deep Learning Against Noisy Labels Shuyu Kong You Li Jia Wang Amin Rezaei H. Zhou NoLa 16 5 0 08 Dec 2020
When Do Curricula Work? Xiaoxia Wu Ethan Dyer Behnam Neyshabur 33 113 0 05 Dec 2020
Meta Automatic Curriculum Learning Rémy Portelas Clément Romac Katja Hofmann Pierre-Yves Oudeyer 35 8 0 16 Nov 2020
Joint Space Control via Deep Reinforcement Learning Visak C. V. Kumar David Hoeller Balakumar Sundaralingam Jonathan Tremblay Stan Birchfield DRL 25 15 0 12 Nov 2020
Dynamic Data Selection for Curriculum Learning via Ability Estimation John P. Lalor Hong-ye Yu 10 24 0 30 Oct 2020
A Survey on Curriculum Learning Xin Wang Yudong Chen Wenwu Zhu SyDa 32 22 0 25 Oct 2020
Adam with Bandit Sampling for Deep Learning Rui Liu Tianyi Wu Barzan Mozafari 24 22 0 24 Oct 2020
Unsupervised Dense Shape Correspondence using Heat Kernels Mehmet Aygün Zorah Lähner Daniel Cremers 48 15 0 23 Oct 2020
Improving Generalization of Deep Fault Detection Models in the Presence of Mislabeled Data Katharina Rombach Gabriel Michau Olga Fink NoLa 16 1 0 30 Sep 2020
Learn like a Pathologist: Curriculum Learning by Annotator Agreement for Histopathology Image Classification Jerry W. Wei A. Suriawinata Bing Ren Xiaoying Liu Mikhail Lisovsky ... Mustafa Nasir-Moin Naofumi Tomita Lorenzo Torresani Jason W. Wei Saeed Hassanpour 27 49 0 29 Sep 2020
My Health Sensor, my Classifier: Adapting a Trained Classifier to Unlabeled End-User Data K. Nikolaidis Stein Kristiansen T. Plagemann V. Goebel Knut Liestøl ... G. Traaen Britt Overland Harriet Akre L. Aakerøy S. Steinshamn OOD 40 1 0 22 Sep 2020
Curriculum Learning with Diversity for Supervised Computer Vision Tasks Petru Soviany 19 10 0 22 Sep 2020
Self-supervised Video Representation Learning by Uncovering Spatio-temporal Statistics Jiangliu Wang Jianbo Jiao Linchao Bao Shengfeng He Wei Liu Yunhui Liu SSL AI4TS 21 55 0 31 Aug 2020
Learning Adaptive Embedding Considering Incremental Class Yang Yang Zhensheng Sun HengShu Zhu Yanjie Fu Hui Xiong Jian Yang CLL 24 40 0 31 Aug 2020
$Curriculum learning for improved femur fracture classification: scheduling data with prior knowledge and uncertainty$ Curriculum learning for improved femur fracture classification: scheduling data with prior knowledge and uncertainty Amelia Jiménez-Sánchez Diana Mateus S. Kirchhoff C. Kirchhoff P. Biberthaler Nassir Navab M. A. G. Ballester Gemma Piella 22 18 0 31 Jul 2020
Sequential Domain Adaptation through Elastic Weight Consolidation for Sentiment Analysis Avinash Madasu Anvesh Rao Vijjini CLL 12 14 0 02 Jul 2020