Automated Curriculum Learning for Neural Networks

10 April 2017

Papers citing "Automated Curriculum Learning for Neural Networks"

50 / 110 papers shown

Title
Adaptively Point-weighting Curriculum Learning Wensheng Li Hao Wang Ruifeng Zhou Hanting Guan Chao Zhang Dacheng Tao ODL 46 0 0 03 May 2025
Learn2Mix: Training Neural Networks Using Adaptive Data Integration Shyam Venkatasubramanian Vahid Tarokh 92 0 0 17 Feb 2025
Reinforcement Teaching Alex Lewandowski Calarina Muslimani Dale Schuurmans Matthew E. Taylor Jun Luo 87 1 0 28 Jan 2025
Towards Unbiased and Robust Spatio-Temporal Scene Graph Generation and Anticipation Rohith Peddi Saurabh Ayush Abhay Shrivastava Parag Singla Vibhav Gogate 84 0 0 20 Nov 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 48 1 0 31 Jul 2024
The Overcooked Generalisation Challenge Constantin Ruhdorfer Matteo Bortoletto Anna Penzkofer Andreas Bulling 51 4 0 25 Jun 2024
Reward-Driven Automated Curriculum Learning for Interaction-Aware Self-Driving at Unsignalized Intersections Zeng Peng Xiao Zhou Lei Zheng Yubin Wang Jun Ma 71 4 0 20 Mar 2024
Active Few-Shot Fine-Tuning Jonas Hübotter Bhavya Sukhija Lenart Treven Yarden As Andreas Krause 48 1 0 13 Feb 2024
Improved Performances and Motivation in Intelligent Tutoring Systems: Combining Machine Learning and Learner Choice Benjamin Clément Hélene Sauzéon Didier Roy Pierre-Yves Oudeyer 20 1 0 16 Jan 2024
Bad Students Make Great Teachers: Active Learning Accelerates Large-Scale Visual Understanding Talfan Evans Shreya Pathak Hamza Merzic Jonathan Schwarz Ryutaro Tanno Olivier J. Hénaff 26 16 0 08 Dec 2023
Self-Paced Absolute Learning Progress as a Regularized Approach to Curriculum Learning Tobias Niehues Ulla Scheler Pascal Klink 32 0 0 09 Jun 2023
Measuring and Modeling Physical Intrinsic Motivation Julio Martinez Felix Binder Haoliang Wang Nick Haber Judith E. Fan Daniel L. K. Yamins 20 2 0 22 May 2023
Train Global, Tailor Local: Minimalist Multilingual Translation into Endangered Languages Zhong Zhou Jan Niehues Alexander Waibel 37 0 0 05 May 2023
Generating Texture for 3D Human Avatar from a Single Image using Sampling and Refinement Networks Sihun Cha Kwanggyoon Seo Amirsaman Ashtari Jun-yong Noh 3DH 35 9 0 01 May 2023
Proximal Curriculum for Reinforcement Learning Agents Georgios Tzannetos Bárbara Gomes Ribeiro Parameswaran Kamalaruban Adish Singla 32 6 0 25 Apr 2023
Make Every Example Count: On the Stability and Utility of Self-Influence for Learning from Noisy NLP Datasets Irina Bejan Artem Sokolov Katja Filippova TDI 32 9 0 27 Feb 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
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 31 8 0 09 Feb 2023
$Curriculum Learning for ab initio Deep Learned Refractive Optics$ Curriculum Learning for ab initio Deep Learned Refractive Optics Xinge Yang Q. Fu Wolfgang Heidrich 23 19 0 02 Feb 2023
A Mathematical Model for Curriculum Learning for Parities Elisabetta Cornacchia Elchanan Mossel 47 10 0 31 Jan 2023
Learning to Learn: How to Continuously Teach Humans and Machines Parantak Singh You Li Ankur Sikarwar Weixian Lei Daniel Gao Morgan B. Talbot Ying Sun Mike Zheng Shou Gabriel Kreiman Mengmi Zhang CLL 18 6 0 28 Nov 2022
Deep Learning Training Procedure Augmentations Cristian Simionescu 11 1 0 25 Nov 2022
$Trust Your $\nabla$: Gradient-based Intervention Targeting for Causal Discovery$ Trust Your $\nabla$ : Gradient-based Intervention Targeting for Causal Discovery Mateusz Olko Michal Zajac A. Nowak Nino Scherrer Yashas Annadani Stefan Bauer Lukasz Kucinski Piotr Milos CML 41 2 0 24 Nov 2022
LightDepth: A Resource Efficient Depth Estimation Approach for Dealing with Ground Truth Sparsity via Curriculum Learning Fatemeh Karimi Amir Mehrpanah Reza Rawassizadeh 29 1 0 16 Nov 2022
Effective Vision Transformer Training: A Data-Centric Perspective Benjia Zhou Pichao Wang Jun Wan Yan-Ni Liang Fan Wang 28 5 0 29 Sep 2022
Do Current Multi-Task Optimization Methods in Deep Learning Even Help? Derrick Xin Behrooz Ghorbani Ankush Garg Orhan Firat Justin Gilmer MoMe 75 64 0 23 Sep 2022
Graph Value Iteration Dieqiao Feng Carla P. Gomes B. Selman 8 0 0 20 Sep 2022
Dynamic Memory-based Curiosity: A Bootstrap Approach for Exploration Zijian Gao Yiying Li Kele Xu Yuanzhao Zhai Dawei Feng Bo Ding Xinjun Mao Huaimin Wang 38 0 0 24 Aug 2022
Sparse Representation Learning with Modified q-VAE towards Minimal Realization of World Model Taisuke Kobayashi Ryoma Watanuki DRL 29 6 0 08 Aug 2022
Human Decision Makings on Curriculum Reinforcement Learning with Difficulty Adjustment Yilei Zeng Jiali Duan Yong Li Emilio Ferrara Lerrel Pinto Chloe Kuo Stefanos Nikolaidis 51 3 0 04 Aug 2022
The Effect of Task Ordering in Continual Learning Samuel J. Bell Neil D. Lawrence CLL 48 17 0 26 May 2022
GraB: Finding Provably Better Data Permutations than Random Reshuffling Yucheng Lu Wentao Guo Christopher De Sa FedML 26 16 0 22 May 2022
METRO: Efficient Denoising Pretraining of Large Scale Autoencoding Language Models with Model Generated Signals Payal Bajaj Chenyan Xiong Guolin Ke Xiaodong Liu Di He Saurabh Tiwary Tie-Yan Liu Paul N. Bennett Xia Song Jianfeng Gao 52 32 0 13 Apr 2022
Online Continual Learning on a Contaminated Data Stream with Blurry Task Boundaries Jihwan Bang Hyun-woo Koh Seulki Park Hwanjun Song Jung-Woo Ha Jonghyun Choi CLL 30 39 0 29 Mar 2022
Rule Mining over Knowledge Graphs via Reinforcement Learning Lihan Chen Sihang Jiang Jingping Liu Chao Wang Shenmin Zhang Chenhao Xie Jiaqing Liang Yanghua Xiao Rui Song 44 19 0 21 Feb 2022
Robust Reinforcement Learning via Genetic Curriculum Yeeho Song J. Schneider 29 9 0 17 Feb 2022
Open-Ended Reinforcement Learning with Neural Reward Functions Robert Meier Asier Mujika 37 7 0 16 Feb 2022
Environment Generation for Zero-Shot Compositional Reinforcement Learning Izzeddin Gur Natasha Jaques Yingjie Miao Jongwook Choi Manoj Kumar Tiwari Honglak Lee Aleksandra Faust 38 43 0 21 Jan 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
DRF Codes: Deep SNR-Robust Feedback Codes Mahdi Boloursaz Mashhadi Deniz Gunduz A. Perotti B. Popović 27 10 0 22 Dec 2021
Teaching Humans When To Defer to a Classifier via Exemplars Hussein Mozannar Arvindmani Satyanarayan David Sontag 36 43 0 22 Nov 2021
Curriculum Learning for Vision-and-Language Navigation Jiwen Zhang Zhongyu Wei Jianqing Fan J. Peng LM&Ro 26 21 0 14 Nov 2021
Learning Data Teaching Strategies Via Knowledge Tracing Ghodai M. Abdelrahman Qing Wang 24 12 0 13 Nov 2021
Diverse Distributions of Self-Supervised Tasks for Meta-Learning in NLP Trapit Bansal K. Gunasekaran Tong Wang Tsendsuren Munkhdalai Andrew McCallum SSL OOD 53 19 0 02 Nov 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 279 868 0 15 Oct 2021
Situated Dialogue Learning through Procedural Environment Generation Prithviraj Ammanabrolu Renee Jia Mark O. Riedl 109 14 0 07 Oct 2021
Learning Multi-Objective Curricula for Robotic Policy Learning Jikun Kang Miao Liu Abhinav Gupta C. Pal Xue Liu Jie Fu 42 4 0 06 Oct 2021
Deep reinforcement learning for guidewire navigation in coronary artery phantom Jihoon Kweon Kyunghwan Kim Chaehyuk Lee Hwi Kwon Jinwoo Park ... Inwook Back J. Roh Y. Moon Jaesoon Choi Young-Hak Kim OnRL 24 33 0 05 Oct 2021
A Novel Automated Curriculum Strategy to Solve Hard Sokoban Planning Instances Dieqiao Feng Carla P. Gomes B. Selman ODL 25 18 0 03 Oct 2021
A Hierarchical Assessment of Adversarial Severity Guillaume Jeanneret Juan Pérez Pablo Arbeláez AAML 36 2 0 26 Aug 2021