Regularization With Stochastic Transformations and Perturbations for Deep Semi-Supervised Learning

14 June 2016

Papers citing "Regularization With Stochastic Transformations and Perturbations for Deep Semi-Supervised Learning"

25 / 25 papers shown

Title
Transfer Learning with Pre-trained Conditional Generative Models Shin'ya Yamaguchi Sekitoshi Kanai Atsutoshi Kumagai Daiki Chijiwa H. Kashima VLM CLL BDL DiffM 211 5 0 21 Feb 2025
CR-CTC: Consistency regularization on CTC for improved speech recognition Zengwei Yao Wei Kang Xiaoyu Yang Fangjun Kuang Liyong Guo Han Zhu Zengrui Jin Zhaoqing Li Long Lin Daniel Povey 81 2 0 17 Feb 2025
TCProF: Time-Complexity Prediction SSL Framework Joonghyuk Hahn Hyeseon Ahn Jungin Kim Soohan Lim Yo-Sub Han 69 0 0 10 Feb 2025
CAD: Confidence-Aware Adaptive Displacement for Semi-Supervised Medical Image Segmentation Wenbo Xiao Zhihao Xu Guiping Liang Yangjun Deng Yi Xiao 147 0 0 01 Feb 2025
Towards Understanding Why FixMatch Generalizes Better Than Supervised Learning Jingyang Li Jiachun Pan Vincent Y. F. Tan Kim-Chuan Toh Pan Zhou AAML MLT 108 0 0 15 Oct 2024
Semi-Supervised End-To-End Contrastive Learning For Time Series Classification Hui Cai Xiang Zhang Xiaofeng Liu AI4TS 53 0 0 13 Oct 2023
Rethinking the Value of Labels for Improving Class-Imbalanced Learning Yuzhe Yang Zhi Xu SSL 107 405 0 13 Jun 2020
Mixup-breakdown: a consistency training method for improving generalization of speech separation models Max W. Y. Lam Jun Wang Dan Su Dong Yu 56 22 0 28 Oct 2019
Mutual Exclusivity Loss for Semi-Supervised Deep Learning Mehdi S. M. Sajjadi Mehran Javanmardi Tolga Tasdizen SSL 30 80 0 09 Jun 2016
Fully Convolutional Networks for Semantic Segmentation Evan Shelhamer Jonathan Long Trevor Darrell VOS SSeg 320 37,704 0 20 May 2016
Batch-normalized Maxout Network in Network Jia-Ren Chang Yonghao Chen OOD 62 108 0 09 Nov 2015
Semi-Supervised Learning with Ladder Networks Antti Rasmus Harri Valpola Mikko Honkala Mathias Berglund T. Raiko SSL 67 1,369 0 09 Jul 2015
Slow and steady feature analysis: higher order temporal coherence in video Dinesh Jayaraman Kristen Grauman 68 143 0 15 Jun 2015
Unsupervised Visual Representation Learning by Context Prediction Carl Doersch Abhinav Gupta Alexei A. Efros DRL SSL 153 2,777 0 19 May 2015
Learning image representations tied to ego-motion Dinesh Jayaraman Kristen Grauman SSL 66 245 0 08 May 2015
Learning to See by Moving Pulkit Agrawal João Carreira Jitendra Malik SSL 65 553 0 07 May 2015
Fractional Max-Pooling Benjamin Graham TPM 70 517 0 18 Dec 2014
Spatially-sparse convolutional neural networks Benjamin Graham 61 231 0 22 Sep 2014
Going Deeper with Convolutions Christian Szegedy Wei Liu Yangqing Jia P. Sermanet Scott E. Reed Dragomir Anguelov D. Erhan Vincent Vanhoucke Andrew Rabinovich 333 43,511 0 17 Sep 2014
ImageNet Large Scale Visual Recognition Challenge Olga Russakovsky Jia Deng Hao Su J. Krause S. Satheesh ... A. Karpathy A. Khosla Michael S. Bernstein Alexander C. Berg Li Fei-Fei VLM ObjD 1.1K 39,383 0 01 Sep 2014
Discriminative Unsupervised Feature Learning with Exemplar Convolutional Neural Networks Alexey Dosovitskiy Philipp Fischer Jost Tobias Springenberg Martin Riedmiller Thomas Brox OOD SSL 67 1,018 0 26 Jun 2014
OverFeat: Integrated Recognition, Localization and Detection using Convolutional Networks P. Sermanet David Eigen Xiang Zhang Michaël Mathieu Rob Fergus Yann LeCun ObjD 129 4,999 0 21 Dec 2013
Improving neural networks by preventing co-adaptation of feature detectors Geoffrey E. Hinton Nitish Srivastava A. Krizhevsky Ilya Sutskever Ruslan Salakhutdinov VLM 385 7,650 0 03 Jul 2012
Multi-column Deep Neural Networks for Image Classification D. Ciresan U. Meier Jürgen Schmidhuber 114 3,935 0 13 Feb 2012
Fast Inference in Sparse Coding Algorithms with Applications to Object Recognition Koray Kavukcuoglu MarcÁurelio Ranzato Yann LeCun 86 248 0 18 Oct 2010