Augmenting Supervised Neural Networks with Unsupervised Objectives for Large-scale Image Classification

21 June 2016

Papers citing "Augmenting Supervised Neural Networks with Unsupervised Objectives for Large-scale Image Classification"

50 / 56 papers shown

Title
DejaVu: Conditional Regenerative Learning to Enhance Dense Prediction Shubhankar Borse Debasmit Das Hyojin Park H. Cai Risheek Garrepalli Fatih Porikli 142 10 0 02 Mar 2023
FastHebb: Scaling Hebbian Training of Deep Neural Networks to ImageNet Level Gabriele Lagani Claudio Gennaro Hannes Fassold Giuseppe Amato 100 12 0 07 Jul 2022
SupMAE: Supervised Masked Autoencoders Are Efficient Vision Learners Feng Liang Yangguang Li Diana Marculescu SSL TPM ViT 203 25 0 28 May 2022
Deep Features for CBIR with Scarce Data using Hebbian Learning Gabriele Lagani D. Bacciu Claudio Gallicchio Fabrizio Falchi Claudio Gennaro Giuseppe Amato 81 6 0 18 May 2022
JR2net: A Joint Non-Linear Representation and Recovery Network for Compressive Spectral Imaging Brayan Monroy Jorge Bacca Henry Arguello SupR 104 11 0 16 May 2022
Learning to Assist Agents by Observing Them Antti Keurulainen Isak Westerlund Samuel Kaski Alexander Ilin 46 0 0 04 Oct 2021
Behaviour-conditioned policies for cooperative reinforcement learning tasks Antti Keurulainen Isak Westerlund Ariel Kwiatkowski Samuel Kaski Alexander Ilin 41 0 0 04 Oct 2021
Fourier Transform Approximation as an Auxiliary Task for Image Classification Chen Liu 72 0 0 22 Jun 2021
Streaming Self-Training via Domain-Agnostic Unlabeled Images Zhiqiu Lin Deva Ramanan Aayush Bansal LRM 92 5 0 07 Apr 2021
Hebbian Semi-Supervised Learning in a Sample Efficiency Setting Gabriele Lagani Fabrizio Falchi Claudio Gennaro Giuseppe Amato SSL 132 23 0 16 Mar 2021
Understanding Invariance via Feedforward Inversion of Discriminatively Trained Classifiers Piotr Teterwak Chiyuan Zhang Dilip Krishnan Michael C. Mozer 111 11 0 15 Mar 2021
Contextual Classification Using Self-Supervised Auxiliary Models for Deep Neural Networks Sebastián M. Palacio P. Engler Jörn Hees Andreas Dengel 72 1 0 07 Jan 2021
Deep Learning for Automatic Quality Grading of Mangoes: Methods and Insights Shih-Lun Wu Hsiao-Yen Tung Yu-Lun Hsu 131 22 0 23 Nov 2020
Training Multimodal Systems for Classification with Multiple Objectives Jason Armitage Shramana Thakur Rishi Tripathi Jens Lehmann M. Maleshkova 72 1 0 26 Aug 2020
Improving task-specific representation via 1M unlabelled images without any extra knowledge Aayush Bansal SSL VLM 35 2 0 24 Jun 2020
Towards Robust Pattern Recognition: A Review Xu-Yao Zhang Cheng-Lin Liu C. Suen OOD HAI 93 114 0 12 Jun 2020
Hierarchical Memory Decoding for Video Captioning Aming Wu Yahong Han 55 2 0 27 Feb 2020
Image Embedded Segmentation: Uniting Supervised and Unsupervised Objectives for Segmenting Histopathological Images Can Taylan C. Sokmensuer C. Gunduz-Demir 157 0 0 30 Jan 2020
Discovery and Separation of Features for Invariant Representation Learning Ayush Jaiswal Rob Brekelmans Daniel Moyer Greg Ver Steeg Wael AbdAlmageed Premkumar Natarajan CML OOD 85 11 0 02 Dec 2019
Adversarial Learning of Privacy-Preserving and Task-Oriented Representations Taihong Xiao Yi-Hsuan Tsai Kihyuk Sohn Manmohan Chandraker Ming-Hsuan Yang 98 78 0 22 Nov 2019
Adversarial Examples in Modern Machine Learning: A Review R. Wiyatno Anqi Xu Ousmane Amadou Dia A. D. Berker AAML 143 106 0 13 Nov 2019
Invariant Representations through Adversarial Forgetting Ayush Jaiswal Daniel Moyer Greg Ver Steeg Wael AbdAlmageed Premkumar Natarajan OOD 135 40 0 11 Nov 2019
SmoothFool: An Efficient Framework for Computing Smooth Adversarial Perturbations Ali Dabouei Sobhan Soleymani Fariborz Taherkhani J. Dawson Nasser M. Nasrabadi AAML 161 19 0 08 Oct 2019
Scaling Object Detection by Transferring Classification Weights Jason Kuen Federico Perazzi Zhe Lin Jianming Zhang Yap-Peng Tan ViT 92 18 0 15 Sep 2019
Learning Rich Representations For Structured Visual Prediction Tasks Mohammadreza Mostajabi MDE 48 0 0 30 Aug 2019
Training Neural Networks with Local Error Signals Arild Nøkland L. Eidnes 132 235 0 20 Jan 2019
Pre-training with Non-expert Human Demonstration for Deep Reinforcement Learning G. V. D. L. Cruz Yunshu Du Matthew E. Taylor OffRL 77 26 0 21 Dec 2018
Classification-Reconstruction Learning for Open-Set Recognition Ryota Yoshihashi Wen Shao Rei Kawakami Shaodi You M. Iida T. Naemura BDL 167 335 0 11 Dec 2018
Adapting Auxiliary Losses Using Gradient Similarity Yunshu Du Wojciech M. Czarnecki Siddhant M. Jayakumar Mehrdad Farajtabar Razvan Pascanu Balaji Lakshminarayanan 244 163 0 05 Dec 2018
High-Level Strategy Selection under Partial Observability in StarCraft: Brood War Jonas Gehring Da Ju Vegard Mella Daniel Gant Nicolas Usunier Gabriel Synnaeve 51 6 0 21 Nov 2018
SparseFool: a few pixels make a big difference Apostolos Modas Seyed-Mohsen Moosavi-Dezfooli P. Frossard AAML 175 205 0 06 Nov 2018
Deep neural network based i-vector mapping for speaker verification using short utterances Jinxi Guo N. Xu Kailun Qian Yang Shi Kaiyuan Xu Yingnian Wu Abeer Alwan 70 24 0 16 Oct 2018
Learning End-to-end Autonomous Driving using Guided Auxiliary Supervision Ashish Mehta Adithya Subramanian A. Subramanian 88 36 0 30 Aug 2018
Text-to-image Synthesis via Symmetrical Distillation Networks Mingkuan Yuan Yuxin Peng DiffM 96 38 0 21 Aug 2018
HybridNet: Classification and Reconstruction Cooperation for Semi-Supervised Learning Thomas Robert Nicolas Thome Matthieu Cord 139 39 0 30 Jul 2018
Deep Semi Supervised Generative Learning for Automated PD-L1 Tumor Cell Scoring on NSCLC Tissue Needle Biopsies A. Kapil A. Meier A. Zuraw K. Steele Marlon Rebelatto Gunter Schmidt N. Brieu 75 95 0 28 Jun 2018
Deep Global-Connected Net With The Generalized Multi-Piecewise ReLU Activation in Deep Learning Zhi Chen P. Ho 67 3 0 19 Jun 2018
Robust Conditional Generative Adversarial Networks Grigorios G. Chrysos Jean Kossaifi Stefanos Zafeiriou GAN 106 29 0 22 May 2018
Regularizing Deep Networks by Modeling and Predicting Label Structure Mohammadreza Mostajabi Michael Maire Gregory Shakhnarovich NoLa 120 32 0 05 Apr 2018
Divide, Denoise, and Defend against Adversarial Attacks Seyed-Mohsen Moosavi-Dezfooli A. Shrivastava Oncel Tuzel AAML 97 45 0 19 Feb 2018
Deep supervised learning using local errors Hesham Mostafa V. Ramesh Gert Cauwenberghs 115 123 0 17 Nov 2017
Stack-Captioning: Coarse-to-Fine Learning for Image Captioning Jiuxiang Gu Jianfei Cai G. Wang Tsuhan Chen 143 182 0 11 Sep 2017
GPLAC: Generalizing Vision-Based Robotic Skills using Weakly Labeled Images Avi Singh Larry Yang Sergey Levine 95 23 0 07 Aug 2017
Learning to Extract Semantic Structure from Documents Using Multimodal Fully Convolutional Neural Network Xiao Yang Ersin Yumer P. Asente Mike Kraley Daniel Kifer C. Lee Giles 108 233 0 07 Jun 2017
Semi-Supervised Phoneme Recognition with Recurrent Ladder Networks M. Tietz Tayfun Alpay Johannes Twiefel S. Wermter SSL 58 4 0 07 Jun 2017
Learning from Simulated and Unsupervised Images through Adversarial Training A. Shrivastava Tomas Pfister Oncel Tuzel J. Susskind Wenda Wang Russ Webb GAN 149 1,817 0 22 Dec 2016
Stacked Generative Adversarial Networks Xun Huang Yixuan Li Omid Poursaeed John E. Hopcroft Serge J. Belongie GAN 207 459 0 13 Dec 2016
ExtremeWeather: A large-scale climate dataset for semi-supervised detection, localization, and understanding of extreme weather events Evan Racah Christopher Beckham Tegan Maharaj Samira Ebrahimi Kahou P. Prabhat C. Pal 138 18 0 07 Dec 2016
Generalizing Skills with Semi-Supervised Reinforcement Learning Chelsea Finn Tianhe Yu Justin Fu Pieter Abbeel Sergey Levine OffRL SSL 142 69 0 01 Dec 2016
Learning to Navigate in Complex Environments Piotr Wojciech Mirowski Razvan Pascanu Fabio Viola Hubert Soyer Andy Ballard ... Ross Goroshin Laurent Sifre Koray Kavukcuoglu D. Kumaran R. Hadsell 196 893 0 11 Nov 2016