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"

19 / 219 papers shown

Title
Student-Teacher Curriculum Learning via Reinforcement Learning: Predicting Hospital Inpatient Admission Location Rasheed el-Bouri D. Eyre Peter Watkinson T. Zhu David A. Clifton OOD 8 33 0 01 Jul 2020
Heteroskedastic and Imbalanced Deep Learning with Adaptive Regularization Kaidi Cao Yining Chen Junwei Lu Nikos Arechiga Adrien Gaidon Tengyu Ma 28 68 0 29 Jun 2020
On the Learnability of Concepts: With Applications to Comparing Word Embedding Algorithms Adam Sutton N. Cristianini 33 7 0 17 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 21 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 21 5 0 27 Apr 2020
Trying AGAIN instead of Trying Longer: Prior Learning for Automatic Curriculum Learning Rémy Portelas Katja Hofmann Pierre-Yves Oudeyer 18 1 0 07 Apr 2020
Self-Induced Curriculum Learning in Self-Supervised Neural Machine Translation Dana Ruiter Josef van Genabith C. España-Bonet SSL 21 3 0 07 Apr 2020
PADS: Policy-Adapted Sampling for Visual Similarity Learning Karsten Roth Timo Milbich Bjorn Ommer 10 49 0 24 Mar 2020
SAT: Improving Adversarial Training via Curriculum-Based Loss Smoothing Chawin Sitawarin S. Chakraborty David Wagner AAML 25 37 0 18 Mar 2020
Automatic Curriculum Learning For Deep RL: A Short Survey Rémy Portelas Cédric Colas Lilian Weng Katja Hofmann Pierre-Yves Oudeyer ODL 19 167 0 10 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 33 12 0 26 Feb 2020
Resource Management in Wireless Networks via Multi-Agent Deep Reinforcement Learning Navid Naderializadeh J. Sydir M. Simsek Hosein Nikopour 26 121 0 14 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
Curriculum Labeling: Revisiting Pseudo-Labeling for Semi-Supervised Learning Paola Cascante-Bonilla Fuwen Tan Yanjun Qi Vicente Ordonez ODL 47 23 0 16 Jan 2020
Rethinking Curriculum Learning with Incremental Labels and Adaptive Compensation Madan Ravi Ganesh Jason J. Corso ODL 24 10 0 13 Jan 2020
Curriculum Learning Strategies for IR: An Empirical Study on Conversation Response Ranking Gustavo Penha C. Hauff 19 24 0 18 Dec 2019
Fine-Tuning by Curriculum Learning for Non-Autoregressive Neural Machine Translation Junliang Guo Xu Tan Linli Xu Tao Qin Enhong Chen Tie-Yan Liu 14 85 0 20 Nov 2019
Let's Agree to Agree: Neural Networks Share Classification Order on Real Datasets Guy Hacohen Leshem Choshen D. Weinshall AI4TS OOD 8 55 0 26 May 2019
Theory of Curriculum Learning, with Convex Loss Functions D. Weinshall D. Amir 18 41 0 09 Dec 2018