Automated Curriculum Learning for Neural Networks

10 April 2017

Papers citing "Automated Curriculum Learning for Neural Networks"

50 / 110 papers shown

Title
Open-Ended Learning Leads to Generally Capable Agents Open-Ended Learning Team Adam Stooke Anuj Mahajan Catarina Barros Charlie Deck ... Nicolas Porcel Roberta Raileanu Steph Hughes-Fitt Valentin Dalibard Wojciech M. Czarnecki 55 181 0 27 Jul 2021
Progressive Class-based Expansion Learning For Image Classification Hui Wang Hanbin Zhao Xi Li 22 0 0 28 Jun 2021
Curriculum generation using Autoencoder based continuous optimization Dipankar Sarkar Mukur Gupta 27 0 0 16 Jun 2021
Accelerating Neural Architecture Search via Proxy Data Byunggook Na J. Mok Hyeokjun Choe Sungroh Yoon 16 18 0 09 Jun 2021
Exploring Text-to-Text Transformers for English to Hinglish Machine Translation with Synthetic Code-Mixing Ganesh Jawahar El Moatez Billah Nagoudi Muhammad Abdul-Mageed L. Lakshmanan 34 29 0 18 May 2021
Replay in Deep Learning: Current Approaches and Missing Biological Elements Tyler L. Hayes G. Krishnan M. Bazhenov H. Siegelmann T. Sejnowski Christopher Kanan CLL 41 130 0 01 Apr 2021
TeachMyAgent: a Benchmark for Automatic Curriculum Learning in Deep RL Clément Romac Rémy Portelas Katja Hofmann Pierre-Yves Oudeyer 27 21 0 17 Mar 2021
Automated Curriculum Learning for Embodied Agents: A Neuroevolutionary Approach Nicola Milano S. Nolfi 92 10 0 17 Feb 2021
In-Loop Meta-Learning with Gradient-Alignment Reward Samuel G. Müller André Biedenkapp Frank Hutter OOD 28 2 0 05 Feb 2021
DORB: Dynamically Optimizing Multiple Rewards with Bandits Ramakanth Pasunuru Han Guo Joey Tianyi Zhou OffRL 32 6 0 15 Nov 2020
A Survey on Curriculum Learning Xin Eric Wang Yudong Chen Wenwu Zhu SyDa 32 22 0 25 Oct 2020
Training Stronger Baselines for Learning to Optimize Tianlong Chen Weiyi Zhang Jingyang Zhou Shiyu Chang Sijia Liu Lisa Amini Zhangyang Wang OffRL 27 51 0 18 Oct 2020
Robot Navigation in Constrained Pedestrian Environments using Reinforcement Learning Claudia Pérez-DÁrpino Can Liu P. Goebel Roberto Martín-Martín Silvio Savarese 39 65 0 16 Oct 2020
Decentralized Multi-Agent Pursuit using Deep Reinforcement Learning C. de Souza Rhys Newbury Akansel Cosgun P. Castillo B. Vidolov Dana Kulić 53 90 0 16 Oct 2020
How to Motivate Your Dragon: Teaching Goal-Driven Agents to Speak and Act in Fantasy Worlds Prithviraj Ammanabrolu Jack Urbanek Margaret Li Arthur Szlam Tim Rocktaschel Jason Weston LM&Ro 19 44 0 01 Oct 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 multilevel budgeted combinatorial problems Adel Nabli Margarida Carvalho AI4CE 11 4 0 07 Jul 2020
Safe Reinforcement Learning via Curriculum Induction M. Turchetta Andrey Kolobov S. Shah Andreas Krause Alekh Agarwal 23 91 0 22 Jun 2020
Automatic Curriculum Learning through Value Disagreement Yunzhi Zhang Pieter Abbeel Lerrel Pinto 35 103 0 17 Jun 2020
Curriculum Pre-training for End-to-End Speech Translation Chengyi Wang Yu Wu Shujie Liu Ming Zhou Zhenglu Yang 21 108 0 21 Apr 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 160 458 0 10 Mar 2020
Multi-Source Domain Adaptation for Text Classification via DistanceNet-Bandits Han Guo Ramakanth Pasunuru Joey Tianyi Zhou 30 114 0 13 Jan 2020
Learning From Multiple Experts: Self-paced Knowledge Distillation for Long-tailed Classification Liuyu Xiang Guiguang Ding Jungong Han 28 281 0 06 Jan 2020
Iterative Policy-Space Expansion in Reinforcement Learning Jan Malte Lichtenberg Özgür Simsek 12 0 0 05 Dec 2019
Optimizing Data Usage via Differentiable Rewards Xinyi Wang Hieu H. Pham Paul Michel Antonios Anastasopoulos J. Carbonell Graham Neubig 18 60 0 22 Nov 2019
Label-similarity Curriculum Learning Ürün Dogan A. Deshmukh Marcin Machura Christian Igel 23 21 0 15 Nov 2019
Curriculum Self-Paced Learning for Cross-Domain Object Detection Petru Soviany Radu Tudor Ionescu Paolo Rota N. Sebe OOD ObjD 24 71 0 15 Nov 2019
Image Difficulty Curriculum for Generative Adversarial Networks (CuGAN) Petru Soviany Claudiu Ardei Radu Tudor Ionescu Marius Leordeanu GAN 27 48 0 20 Oct 2019
Teacher algorithms for curriculum learning of Deep RL in continuously parameterized environments Rémy Portelas Cédric Colas Katja Hofmann Pierre-Yves Oudeyer 32 144 0 16 Oct 2019
Label-PEnet: Sequential Label Propagation and Enhancement Networks for Weakly Supervised Instance Segmentation Weifeng Ge Sheng Guo Weilin Huang Matthew R. Scott 27 48 0 07 Oct 2019
Meta-Transfer Learning through Hard Tasks Qianru Sun Yaoyao Liu Zhaozheng Chen Tat-Seng Chua Bernt Schiele 14 98 0 07 Oct 2019
Task Selection Policies for Multitask Learning John Glover Chris Hokamp OffRL 29 7 0 14 Jul 2019
Growing Action Spaces Gregory Farquhar Laura Gustafson Zeming Lin Shimon Whiteson Nicolas Usunier Gabriel Synnaeve 14 38 0 28 Jun 2019
Simple and Effective Curriculum Pointer-Generator Networks for Reading Comprehension over Long Narratives Yi Tay Shuohang Wang Anh Tuan Luu Jie Fu Minh C. Phan Xingdi Yuan J. Rao S. Hui Aston Zhang 39 108 0 26 May 2019
Ray Interference: a Source of Plateaus in Deep Reinforcement Learning Tom Schaul Diana Borsa Joseph Modayil Razvan Pascanu 19 63 0 25 Apr 2019
On The Power of Curriculum Learning in Training Deep Networks Guy Hacohen D. Weinshall ODL 39 439 0 07 Apr 2019
The StreetLearn Environment and Dataset Piotr Wojciech Mirowski Andras Banki-Horvath Keith Anderson Denis Teplyashin Karl Moritz Hermann ... Matthew Koichi Grimes Karen Simonyan Koray Kavukcuoglu Andrew Zisserman R. Hadsell 3DV 26 64 0 04 Mar 2019
CLIC: Curriculum Learning and Imitation for object Control in non-rewarding environments Pierre Fournier Olivier Sigaud Cédric Colas Mohamed Chetouani OffRL 37 26 0 28 Jan 2019
Meta-Transfer Learning for Few-Shot Learning Qianru Sun Yaoyao Liu Tat-Seng Chua Bernt Schiele 75 1,060 0 06 Dec 2018
Learning Curriculum Policies for Reinforcement Learning Sanmit Narvekar Peter Stone 29 84 0 01 Dec 2018
Exploiting Class Learnability in Noisy Data Matthew Klawonn Eric Heim James A. Hendler NoLa 28 7 0 15 Nov 2018
An Empirical Exploration of Curriculum Learning for Neural Machine Translation Xuan Zhang Manish Kumar Huda Khayrallah Kenton W. Murray Jeremy Gwinnup Marianna J. Martindale Paul McNamee Kevin Duh Marine Carpuat ODL 37 109 0 02 Nov 2018
Energy-Based Hindsight Experience Prioritization Rui Zhao Volker Tresp 19 74 0 02 Oct 2018
Learning Navigation Behaviors End-to-End with AutoRL H. Chiang Aleksandra Faust Marek Fiser Anthony G. Francis 16 234 0 26 Sep 2018
Curriculum goal masking for continuous deep reinforcement learning Manfred Eppe S. Magg S. Wermter 27 19 0 17 Sep 2018
Integrating Feature and Image Pyramid: A Lung Nodule Detector Learned in Curriculum Fashion Benyuan Sun Zhen Zhou Fandong Zhang Xiuli Li Yizhou Wang 23 0 0 21 Jul 2018
Dynamic Multi-Level Multi-Task Learning for Sentence Simplification Han Guo Ramakanth Pasunuru Joey Tianyi Zhou 36 66 0 19 Jun 2018
BaRC: Backward Reachability Curriculum for Robotic Reinforcement Learning Boris Ivanovic James Harrison Apoorva Sharma Mo Chen Marco Pavone OffRL 32 57 0 16 Jun 2018
Unsupervised Meta-Learning for Reinforcement Learning Abhishek Gupta Benjamin Eysenbach Chelsea Finn Sergey Levine SSL OffRL 54 106 0 12 Jun 2018
Fingerprint Policy Optimisation for Robust Reinforcement Learning Supratik Paul Michael A. Osborne Shimon Whiteson 32 18 0 27 May 2018