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

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"

17 / 17 papers shown

Title
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 85 0 0 27 Feb 2025
Towards Unbiased and Robust Spatio-Temporal Scene Graph Generation and Anticipation Rohith Peddi Saurabh Ayush Abhay Shrivastava Parag Singla Vibhav Gogate 129 1 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 99 1 0 31 Jul 2024
CASED: Curriculum Adaptive Sampling for Extreme Data Imbalance Andrew Jesson N. Guizard Sina Hamidi Ghalehjegh D. Goblot F. Soudan Nicolas Chapados 43 48 0 27 Jul 2018
Automated Curriculum Learning for Neural Networks Alex Graves Marc G. Bellemare Jacob Menick Rémi Munos Koray Kavukcuoglu 77 525 0 10 Apr 2017
Training Region-based Object Detectors with Online Hard Example Mining Abhinav Shrivastava Abhinav Gupta Ross B. Girshick ObjD 148 2,418 0 12 Apr 2016
Deep Speech 2: End-to-End Speech Recognition in English and Mandarin Dario Amodei Rishita Anubhai Eric Battenberg Carl Case Jared Casper ... Chong-Jun Wang Bo Xiao Dani Yogatama J. Zhan Zhenyao Zhu 126 2,973 0 08 Dec 2015
Compression of Deep Convolutional Neural Networks for Fast and Low Power Mobile Applications Yong-Deok Kim Eunhyeok Park S. Yoo Taelim Choi Lu Yang Dongjun Shin 124 894 0 20 Nov 2015
Learning Structured Inference Neural Networks with Label Relations Hexiang Hu Guang-Tong Zhou Zhiwei Deng Zicheng Liao Greg Mori NAI BDL 80 126 0 17 Nov 2015
Basic Level Categorization Facilitates Visual Object Recognition Panqu Wang G. Cottrell 46 15 0 12 Nov 2015
Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning Y. Gal Zoubin Ghahramani UQCV BDL 821 9,318 0 06 Jun 2015
Compressing Neural Networks with the Hashing Trick Wenlin Chen James T. Wilson Stephen Tyree Kilian Q. Weinberger Yixin Chen 163 1,191 0 19 Apr 2015
Long-term Recurrent Convolutional Networks for Visual Recognition and Description Jeff Donahue Lisa Anne Hendricks Marcus Rohrbach Subhashini Venugopalan S. Guadarrama Kate Saenko Trevor Darrell VLM 162 6,052 0 17 Nov 2014
Learning to Execute Wojciech Zaremba Ilya Sutskever ODL 87 560 0 17 Oct 2014
Going Deeper with Convolutions Christian Szegedy Wei Liu Yangqing Jia P. Sermanet Scott E. Reed Dragomir Anguelov D. Erhan Vincent Vanhoucke Andrew Rabinovich 465 43,658 0 17 Sep 2014
CNN Features off-the-shelf: an Astounding Baseline for Recognition A. Razavian Hossein Azizpour Josephine Sullivan S. Carlsson 157 4,942 0 23 Mar 2014
Intriguing properties of neural networks Christian Szegedy Wojciech Zaremba Ilya Sutskever Joan Bruna D. Erhan Ian Goodfellow Rob Fergus AAML 270 14,927 1 21 Dec 2013

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