Curriculum Learning by Transfer Learning: Theory and Experiments with Deep Networks

11 February 2018

Papers citing "Curriculum Learning by Transfer Learning: Theory and Experiments with Deep Networks"

50 / 122 papers shown

Title
Competence-based Multimodal Curriculum Learning for Medical Report Generation Fenglin Liu Shen Ge Yuexian Zou Xian Wu MedIm 25 131 0 24 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 46 17 0 26 May 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 24 2 0 01 Apr 2022
Knock, knock. Who's there? -- Identifying football player jersey numbers with synthetic data D. Bhargavi Erika Pelaez Coyotl Sia Gholami 29 16 0 01 Mar 2022
Cyclical Curriculum Learning Himmet Toprak Kesgin M. Amasyalı ODL 19 8 0 11 Feb 2022
Toward Causal-Aware RL: State-Wise Action-Refined Temporal Difference Hao Sun Taiyi A. Wang CML 11 5 0 02 Jan 2022
Curriculum learning for data-driven modeling of dynamical systems Alessandro Bucci Onofrio Semeraro A. Allauzen S. Chibbaro L. Mathelin PINN AI4CE 24 7 0 15 Dec 2021
Curriculum Meta-Learning for Few-shot Classification Emmanouil Stergiadis Priyanka Agrawal Oliver Squire VLM 11 5 0 06 Dec 2021
How Important is Importance Sampling for Deep Budgeted Training? Eric Arazo Diego Ortego Paul Albert Noel E. O'Connor Kevin McGuinness 15 7 0 27 Oct 2021
Medical Knowledge-Guided Deep Curriculum Learning for Elbow Fracture Diagnosis from X-Ray Images Jun Luo G. Kitamura Emine Doganay Dooman Arefan Shandong Wu MedIm 25 11 0 20 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 231 862 0 15 Oct 2021
Generalization in Deep RL for TSP Problems via Equivariance and Local Search Wenbin Ouyang Yisen Wang Paul Weng Shaochen Han LRM 69 13 0 07 Oct 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 30 15 0 06 Sep 2021
Spatial Transformer Networks for Curriculum Learning Fatemeh Azimi Jean-Francois Nies Sebastián M. Palacio Federico Raue Jörn Hees Andreas Dengel 16 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
Low-level Pose Control of Tilting Multirotor for Wall Perching Tasks Using Reinforcement Learning Hyungyu Lee Myeongwoo Jeong Chanyoung Kim Hyungtae Lim Changgue Park Sungwon Hwang Hyun Myung 17 4 0 11 Aug 2021
Exploring Dropout Discriminator for Domain Adaptation V. Kurmi Venkatesh Subramanian Vinay P. Namboodiri OOD 8 6 0 09 Jul 2021
Conditional Teaching Size Manuel Garcia-Piqueras José Hernández Orallo 14 1 0 29 Jun 2021
Curriculum generation using Autoencoder based continuous optimization Dipankar Sarkar Mukur Gupta 17 0 0 16 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
Curriculum Design for Teaching via Demonstrations: Theory and Applications Gaurav Yengera R. Devidze Parameswaran Kamalaruban Adish Singla 12 7 0 08 Jun 2021
Domain Adaptation and Multi-Domain Adaptation for Neural Machine Translation: A Survey Danielle Saunders AI4CE 17 85 0 14 Apr 2021
Learning with Memory-based Virtual Classes for Deep Metric Learning ByungSoo Ko Geonmo Gu Han-Gyu Kim VLM 19 28 0 31 Mar 2021
Goal-constrained Sparse Reinforcement Learning for End-to-End Driving Pranav Agarwal Pierre de Beaucorps Raoul de Charette 21 3 0 16 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
Statistical Measures For Defining Curriculum Scoring Function Vinu Sankar Sadasivan A. Dasgupta 14 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 30 2 0 19 Feb 2021
Curriculum Learning: A Survey Petru Soviany Radu Tudor Ionescu Paolo Rota N. Sebe ODL 70 341 0 25 Jan 2021
When Do Curricula Work? Xiaoxia Wu Ethan Dyer Behnam Neyshabur 25 113 0 05 Dec 2020
Dynamic Curriculum Learning for Low-Resource Neural Machine Translation Chen Xu Bojie Hu Yufan Jiang Kai Feng Zeyang Wang Shen Huang Qi Ju Tong Xiao Jingbo Zhu 15 22 0 30 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 Eric Wang Yudong Chen Wenwu Zhu SyDa 27 22 0 25 Oct 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 19 49 0 29 Sep 2020
Curriculum Learning with Diversity for Supervised Computer Vision Tasks Petru Soviany 16 10 0 22 Sep 2020
Mastering Rate based Curriculum Learning Lucas Willems Salem Lahlou Yoshua Bengio 11 7 0 14 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 14 18 0 31 Jul 2020
Decoupling Inherent Risk and Early Cancer Signs in Image-based Breast Cancer Risk Models Yue Liu Hossein Azizpour Fredrik Strand Kevin Smith 17 10 0 11 Jul 2020
Sequential Domain Adaptation through Elastic Weight Consolidation for Sentiment Analysis Avinash Madasu Anvesh Rao Vijjini CLL 4 14 0 02 Jul 2020
A Sequential Self Teaching Approach for Improving Generalization in Sound Event Recognition Anurag Kumar V. Ithapu 17 35 0 30 Jun 2020
TorsionNet: A Reinforcement Learning Approach to Sequential Conformer Search T. Gogineni Ziping Xu E. Punzalan Runxuan Jiang Joshua A Kammeraad Ambuj Tewari Paul M. Zimmerman AI4CE 11 32 0 12 Jun 2020
Navigating the Landscape of Multiplayer Games Shayegan Omidshafiei K. Tuyls Wojciech M. Czarnecki Francisco C. Santos Mark Rowland ... Paul Muller Julien Perolat Bart De Vylder A. Gruslys Rémi Munos 16 2 0 04 May 2020
Difficulty Translation in Histopathology Images Jerry W. Wei A. Suriawinata Xiaoying Liu Bing Ren Mustafa Nasir-Moin Naofumi Tomita Jason W. Wei Saeed Hassanpour MedIm 16 5 0 27 Apr 2020
Self-Induced Curriculum Learning in Self-Supervised Neural Machine Translation Dana Ruiter Josef van Genabith C. España-Bonet SSL 13 3 0 07 Apr 2020
SAT: Improving Adversarial Training via Curriculum-Based Loss Smoothing Chawin Sitawarin S. Chakraborty David A. Wagner AAML 17 37 0 18 Mar 2020
Curriculum Learning for Reinforcement Learning Domains: A Framework and Survey Sanmit Narvekar Bei Peng Matteo Leonetti Jivko Sinapov Matthew E. Taylor Peter Stone ODL 152 458 0 10 Mar 2020
Learning from Easy to Complex: Adaptive Multi-curricula Learning for Neural Dialogue Generation Hengyi Cai Hongshen Chen Cheng Zhang Yonghao Song Xiaofang Zhao Yangxi Li Dongsheng Duan Dawei Yin 9 22 0 02 Mar 2020
Can we have it all? On the Trade-off between Spatial and Adversarial Robustness of Neural Networks Sandesh Kamath Amit Deshpande Subrahmanyam Kambhampati Venkata V. Balasubramanian 25 12 0 26 Feb 2020
Learning to Inpaint by Progressively Growing the Mask Regions Mohamed Abbas Hedjazi Yakup Genç CLL 20 5 0 21 Feb 2020
DiverseDepth: Affine-invariant Depth Prediction Using Diverse Data Wei Yin Xinlong Wang Chunhua Shen Yifan Liu Zhi Tian Songcen Xu Changming Sun Dou Renyin 3DH MDE 19 70 0 03 Feb 2020