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
Adaptively Point-weighting Curriculum Learning Wensheng Li Hao Wang Ruifeng Zhou Hanting Guan Chao Zhang Dacheng Tao ODL 41 0 0 03 May 2025
Adversarial Curriculum Graph-Free Knowledge Distillation for Graph Neural Networks Yuang Jia Xiaojuan Shan Jun-Xiong Xia Guancheng Wan Y. Zhang Wenke Huang Mang Ye Stan Z. Li 45 0 0 01 Apr 2025
Token-Level Uncertainty-Aware Objective for Language Model Post-Training Tingkai Liu Ari S. Benjamin Anthony M. Zador 42 0 0 15 Mar 2025
ForceGrip: Reference-Free Curriculum Learning for Realistic Grip Force Control in VR Hand Manipulation DongHeun Han Byungmin Kim RoUn Lee KyeongMin Kim Hyoseok Hwang HyeongYeop Kang 60 0 0 11 Mar 2025
Your Model is Overconfident, and Other Lies We Tell Ourselves Timothee Mickus Aman Sinha Raúl Vázquez 53 0 0 03 Mar 2025
Improving the Efficiency of a Deep Reinforcement Learning-Based Power Management System for HPC Clusters Using Curriculum Learning Thomas Budiarjo Santana Yuda Pradata Kadek Gemilang Santiyuda Muhammad Alfian Amrizal Reza Pulungan Hiroyuki Takizawa 53 0 0 27 Feb 2025
Improving the Convergence Rates of Forward Gradient Descent with Repeated Sampling Niklas Dexheimer Johannes Schmidt-Hieber FedML 67 0 0 26 Nov 2024
Robust Monocular Visual Odometry using Curriculum Learning Assaf Lahiany Oren Gal 64 0 0 20 Nov 2024
Towards Unbiased and Robust Spatio-Temporal Scene Graph Generation and Anticipation Rohith Peddi Saurabh Ayush Abhay Shrivastava Parag Singla Vibhav Gogate 76 0 0 20 Nov 2024
Does the Definition of Difficulty Matter? Scoring Functions and their Role for Curriculum Learning Simon Rampp M. Milling Andreas Triantafyllopoulos Björn Schuller 31 1 0 01 Nov 2024
Hierarchical Multi-agent Reinforcement Learning for Cyber Network Defense Aditya Vikram Singh Ethan Rathbun Emma Graham Lisa Oakley Simona Boboila Alina Oprea Peter Chin AAML 21 2 0 22 Oct 2024
Causality-Driven Reinforcement Learning for Joint Communication and Sensing Anik Roy Serene Banerjee Jishnu Sadasivan Arnab Sarkar Soumyajit Dey 18 0 0 07 Sep 2024
In-Context Exploiter for Extensive-Form Games Shuxin Li Chang Yang Youzhi Zhang Pengdeng Li Xinrun Wang Xiao Huang Hau Chan Bo An 29 0 0 10 Aug 2024
A Psychology-based Unified Dynamic Framework for Curriculum Learning Guangyu Meng Qingkai Zeng John P. Lalor Hong-ye Yu 29 0 0 09 Aug 2024
Con4m: Context-aware Consistency Learning Framework for Segmented Time Series Classification Junru Chen Tianyu Cao Ninon De Mecquenem Jiahe Li Zhilong Chen F. Friederici Yang Yang 38 1 0 31 Jul 2024
Progressive Growing of Patch Size: Resource-Efficient Curriculum Learning for Dense Prediction Tasks Stefan M. Fischer Lina Felsner Richard Osuala Johannes Kiechle Daniel M. Lang J. Peeken Julia A. Schnabel 32 3 0 10 Jul 2024
Enhancing Cross-Modal Fine-Tuning with Gradually Intermediate Modality Generation Lincan Cai Shuang Li Wenxuan Ma Jingxuan Kang Binhui Xie Zixun Sun Chengwei Zhu MoE MoMe 40 0 0 13 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 37 2 0 03 Jun 2024
EfficientTrain++: Generalized Curriculum Learning for Efficient Visual Backbone Training Yulin Wang Yang Yue Rui Lu Yizeng Han Shiji Song Gao Huang VLM 56 12 0 14 May 2024
Proximal Curriculum with Task Correlations for Deep Reinforcement Learning Georgios Tzannetos Parameswaran Kamalaruban Adish Singla 26 4 0 03 May 2024
Rethinking Teacher-Student Curriculum Learning through the Cooperative Mechanics of Experience Manfred Diaz Liam Paull Andrea Tacchetti 47 0 0 03 Apr 2024
Solving a Real-World Optimization Problem Using Proximal Policy Optimization with Curriculum Learning and Reward Engineering Abhijeet Pendyala Asma Atamna Tobias Glasmachers OffRL 24 1 0 03 Apr 2024
Unveiling the Significance of Toddler-Inspired Reward Transition in Goal-Oriented Reinforcement Learning Junseok Park Yoonsung Kim Hee Bin Yoo Min Whoo Lee Kibeom Kim Won-Seok Choi Minsu Lee Byoung-Tak Zhang OffRL 35 1 0 11 Mar 2024
Bidirectional Progressive Neural Networks with Episodic Return Progress for Emergent Task Sequencing and Robotic Skill Transfer S. E. Ada Hanne Say Emre Ugur Erhan Öztop 18 1 0 06 Mar 2024
Data Distribution-based Curriculum Learning Shonal Chaudhry Anuraganand Sharma 13 1 0 12 Feb 2024
Curriculum Learning for Graph Neural Networks: Which Edges Should We Learn First Zhengwu Zhang Junxiang Wang Liang Zhao 39 13 0 28 Oct 2023
Data Optimization in Deep Learning: A Survey Ou Wu Rujing Yao 32 1 0 25 Oct 2023
A Comprehensive Study of Privacy Risks in Curriculum Learning Joann Qiongna Chen Xinlei He Zheng Li Yang Zhang Zhou Li 48 2 0 16 Oct 2023
Digital Twin-based Anomaly Detection with Curriculum Learning in Cyber-physical Systems Geri Skenderi Hang Li T. Yue 32 21 0 27 Sep 2023
Learning Spiking Neural Network from Easy to Hard task Lingling Tang Jiangtao Hu Hua Yu Surui Liu Jielei Chu 39 0 0 09 Sep 2023
CDFSL-V: Cross-Domain Few-Shot Learning for Videos Sarinda Samarasinghe Mamshad Nayeem Rizve Navid Kardan M. Shah 21 11 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
Provable Advantage of Curriculum Learning on Parity Targets with Mixed Inputs Emmanuel Abbe Elisabetta Cornacchia Aryo Lotfi 28 11 0 29 Jun 2023
Proximal Curriculum for Reinforcement Learning Agents Georgios Tzannetos Bárbara Gomes Ribeiro Parameswaran Kamalaruban Adish Singla 25 5 0 25 Apr 2023
Automaton-Guided Curriculum Generation for Reinforcement Learning Agents Yash Shukla A. Kulkarni Robert Wright Alvaro Velasquez Jivko Sinapov 18 1 0 11 Apr 2023
Maneuver Decision-Making For Autonomous Air Combat Through Curriculum Learning And Reinforcement Learning With Sparse Rewards Yuxin Wei Hong-Peng Zhang Chang Huang 11 3 0 12 Feb 2023
Curriculum Graph Machine Learning: A Survey Haoyang Li Xin Eric Wang Wenwu Zhu 22 16 0 06 Feb 2023
A Mathematical Model for Curriculum Learning for Parities Elisabetta Cornacchia Elchanan Mossel 34 10 0 31 Jan 2023
Cross-Modal Similarity-Based Curriculum Learning for Image Captioning Hongkuan Zhang Saku Sugawara Akiko Aizawa Lei Zhou Ryohei Sasano Koichi Takeda VLM 19 4 0 14 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 34 28 0 17 Nov 2022
G2NetPL: Generic Game-Theoretic Network for Partial-Label Image Classification R. Abdelfattah Xin Zhang M. Fouda Xiaofeng Wang Song Wang VLM 30 6 0 20 Oct 2022
Task Phasing: Automated Curriculum Learning from Demonstrations Vaibhav Bajaj Guni Sharon Peter Stone 24 8 0 20 Oct 2022
Compute-Efficient Deep Learning: Algorithmic Trends and Opportunities Brian Bartoldson B. Kailkhura Davis W. Blalock 31 47 0 13 Oct 2022
CES-KD: Curriculum-based Expert Selection for Guided Knowledge Distillation Ibtihel Amara M. Ziaeefard B. Meyer W. Gross J. Clark 13 4 0 15 Sep 2022
Temporal Contrastive Learning with Curriculum Shuvendu Roy Ali Etemad 30 3 0 02 Sep 2022
Dynamic Data-Free Knowledge Distillation by Easy-to-Hard Learning Strategy Jingru Li Sheng Zhou Liangcheng Li Haishuai Wang Zhi Yu Jiajun Bu 21 14 0 29 Aug 2022
PCC: Paraphrasing with Bottom-k Sampling and Cyclic Learning for Curriculum Data Augmentation Hongyuan Lu W. Lam 13 9 0 17 Aug 2022
A Theory for Knowledge Transfer in Continual Learning Diana Benavides-Prado Patricia J. Riddle CLL 27 13 0 14 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 14 0 0 09 Aug 2022