Revisiting Unreasonable Effectiveness of Data in Deep Learning Era

10 July 2017

Papers citing "Revisiting Unreasonable Effectiveness of Data in Deep Learning Era"

50 / 421 papers shown

Title
Neural Data Server: A Large-Scale Search Engine for Transfer Learning Data Xi Yan David Acuna Sanja Fidler 24 42 0 09 Jan 2020
Softmax-based Classification is k-means Clustering: Formal Proof, Consequences for Adversarial Attacks, and Improvement through Centroid Based Tailoring Sibylle Hess W. Duivesteijn D. Mocanu 20 12 0 07 Jan 2020
High Performance I/O For Large Scale Deep Learning A. Aizman Gavin Maltby Thomas Breuel 17 33 0 07 Jan 2020
Deep Representation Learning in Speech Processing: Challenges, Recent Advances, and Future Trends S. Latif R. Rana Sara Khalifa Raja Jurdak Junaid Qadir Björn W. Schuller AI4TS 29 81 0 02 Jan 2020
Quantifying the Performance of Federated Transfer Learning Qinghe Jing Weiyan Wang Junxue Zhang Han Tian Kai Chen FedML 14 24 0 30 Dec 2019
Effective Data Augmentation with Multi-Domain Learning GANs Shinýa Yamaguchi Sekitoshi Kanai Takeharu Eda 19 27 0 25 Dec 2019
Big Transfer (BiT): General Visual Representation Learning Alexander Kolesnikov Lucas Beyer Xiaohua Zhai J. Puigcerver Jessica Yung Sylvain Gelly N. Houlsby MQ 76 1,183 0 24 Dec 2019
Locality and compositionality in zero-shot learning Tristan Sylvain Linda Petrini R. Devon Hjelm 18 56 0 20 Dec 2019
Segmentations-Leak: Membership Inference Attacks and Defenses in Semantic Image Segmentation Yang He Shadi Rahimian Bernt Schiele Mario Fritz MIACV 11 49 0 20 Dec 2019
Toward Automatic Threat Recognition for Airport X-ray Baggage Screening with Deep Convolutional Object Detection Kevin J Liang J. Sigman Gregory P. Spell D. Strellis William Chang Felix Liu Tejas Mehta Lawrence Carin 25 5 0 13 Dec 2019
Deep learning with noisy labels: exploring techniques and remedies in medical image analysis Davood Karimi Haoran Dou Simon K. Warfield Ali Gholipour NoLa 15 535 0 05 Dec 2019
Knowledge Infused Learning (K-IL): Towards Deep Incorporation of Knowledge in Deep Learning Ugur Kursuncu Manas Gaur A. Sheth NAI 18 57 0 01 Dec 2019
A Constructive Prediction of the Generalization Error Across Scales Jonathan S. Rosenfeld Amir Rosenfeld Yonatan Belinkov Nir Shavit 22 205 0 27 Sep 2019
WiderPerson: A Diverse Dataset for Dense Pedestrian Detection in the Wild Shifeng Zhang Yiliang Xie Jun Wan Hansheng Xia Stan Z. Li G. Guo 22 134 0 25 Sep 2019
Exascale Deep Learning for Scientific Inverse Problems N. Laanait Josh Romero Junqi Yin M. T. Young Sean Treichler V. Starchenko A. Borisevich Alexander Sergeev Michael A. Matheson FedML BDL 27 29 0 24 Sep 2019
Tale of tails using rule augmented sequence labeling for event extraction Ayush Maheshwari Hrishikesh Patel N. Rathod Ritesh Kumar Ganesh Ramakrishnan P. Bhattacharyya 15 4 0 19 Aug 2019
Needles in Haystacks: On Classifying Tiny Objects in Large Images Nick Pawlowski Suvrat Bhooshan Nicolas Ballas F. Ciompi Ben Glocker M. Drozdzal 22 22 0 16 Aug 2019
Exploring large scale public medical image datasets Luke Oakden-Rayner 11 171 0 30 Jul 2019
Selection via Proxy: Efficient Data Selection for Deep Learning Cody Coleman Christopher Yeh Stephen Mussmann Baharan Mirzasoleiman Peter Bailis Percy Liang J. Leskovec Matei A. Zaharia 15 328 0 26 Jun 2019
Training Data Subset Search with Ensemble Active Learning Kashyap Chitta J. Álvarez Elmar Haussmann C. Farabet 17 13 0 29 May 2019
Zero-shot Knowledge Transfer via Adversarial Belief Matching P. Micaelli Amos Storkey 17 228 0 23 May 2019
Deep Neural Networks for Marine Debris Detection in Sonar Images Matias Valdenegro-Toro 27 25 0 13 May 2019
CrossTrainer: Practical Domain Adaptation with Loss Reweighting Justin Chen Edward Gan Kexin Rong S. Suri Peter Bailis 17 4 0 07 May 2019
Scaling and Benchmarking Self-Supervised Visual Representation Learning Priya Goyal D. Mahajan Abhinav Gupta Ishan Misra SSL 24 396 0 03 May 2019
Bayesian Generative Active Deep Learning Toan M. Tran Thanh-Toan Do Ian Reid G. Carneiro 27 135 0 26 Apr 2019
CubiCasa5K: A Dataset and an Improved Multi-Task Model for Floorplan Image Analysis Ahti Kalervo Juha Ylioinas Markus Häikiö Antti Karhu Arno Solin 3DV 17 95 0 03 Apr 2019
Large-scale interactive object segmentation with human annotators Rodrigo Benenson S. Popov V. Ferrari VLM 19 221 0 26 Mar 2019
Probabilistic End-to-end Noise Correction for Learning with Noisy Labels Kun Yi Jianxin Wu NoLa 30 409 0 19 Mar 2019
Improving Strong-Scaling of CNN Training by Exploiting Finer-Grained Parallelism Nikoli Dryden N. Maruyama Tom Benson Tim Moon M. Snir B. Van Essen 18 49 0 15 Mar 2019
GOGGLES: Automatic Image Labeling with Affinity Coding Nilaksh Das Sanya Chaba Renzhi Wu Sakshi Gandhi Duen Horng Chau Xu Chu VLM 11 33 0 11 Mar 2019
Defense Against Adversarial Images using Web-Scale Nearest-Neighbor Search Abhimanyu Dubey L. V. D. van der Maaten Zeki Yalniz Yixuan Li D. Mahajan AAML 25 62 0 05 Mar 2019
Using Pre-Training Can Improve Model Robustness and Uncertainty Dan Hendrycks Kimin Lee Mantas Mazeika NoLa 17 717 0 28 Jan 2019
DeepFlash: Turning a Flash Selfie into a Studio Portrait N. Capece Francesco Banterle Paolo Cignoni F. Ganovelli Roberto Scopigno U. Erra 19 22 0 14 Jan 2019
Deep Learning for Human Affect Recognition: Insights and New Developments Philipp V. Rouast M. Adam R. Chiong 27 167 0 09 Jan 2019
On the potential for open-endedness in neural networks N. Guttenberg N. Virgo A. Penn 15 10 0 12 Dec 2018
A Dataset and Benchmark for Large-scale Multi-modal Face Anti-spoofing Shifeng Zhang Xiaobo Wang Ajian Liu Chenxu Zhao Jun Wan Sergio Escalera Hailin Shi Zezheng Wang Stan Z. Li AAML CVBM 28 153 0 02 Dec 2018
EV-SegNet: Semantic Segmentation for Event-based Cameras Inigo Alonso Ana C. Murillo 24 136 0 29 Nov 2018
Rethinking ImageNet Pre-training Kaiming He Ross B. Girshick Piotr Dollár VLM SSeg 47 1,076 0 21 Nov 2018
CEREALS - Cost-Effective REgion-based Active Learning for Semantic Segmentation Radek Mackowiak Philip Lenz Omair Ghori Ferran Diego O. Lange Carsten Rother 37 108 0 23 Oct 2018
Light-Weight RefineNet for Real-Time Semantic Segmentation Vladimir Nekrasov Chunhua Shen Ian Reid SSeg VLM 19 147 0 08 Oct 2018
A Robot Localization Framework Using CNNs for Object Detection and Pose Estimation Lukas Hoyer Christoph Steup Sanaz Mostaghim 13 5 0 03 Oct 2018
Deep Neural Networks for Pattern Recognition Kyongsik Yun Alexander Huyen Thomas Lu 21 30 0 25 Sep 2018
Deep Learning for Generic Object Detection: A Survey Li Liu Wanli Ouyang Xiaogang Wang Paul Fieguth Jie Chen Xinwang Liu M. Pietikäinen ObjD VLM OOD 72 2,420 0 06 Sep 2018
Leveraging Unlabeled Whole-Slide-Images for Mitosis Detection S. Akram Talha Qaiser S. Graham Arno Solin J. Heikkilä Nasir M. Rajpoot 16 31 0 31 Jul 2018
A Better Baseline for AVA Rohit Girdhar João Carreira Carl Doersch Andrew Zisserman 13 66 0 26 Jul 2018
Robot Learning in Homes: Improving Generalization and Reducing Dataset Bias Abhinav Gupta Adithyavairavan Murali Dhiraj Gandhi Lerrel Pinto 11 151 0 18 Jul 2018
Fluid Annotation: A Human-Machine Collaboration Interface for Full Image Annotation Mykhaylo Andriluka J. Uijlings V. Ferrari VLM 24 81 0 20 Jun 2018
Large Scale Fine-Grained Categorization and Domain-Specific Transfer Learning Huayu Chen Yang Song Chen Sun Andrew G. Howard Serge J. Belongie 25 475 0 16 Jun 2018
Large-scale Bisample Learning on ID Versus Spot Face Recognition Xiangyu Zhu Hao Liu Zhen Lei Hailin Shi Fan Yang Dong Yi Guojun Qi Stan Z. Li CVBM 24 47 0 08 Jun 2018
Analysis of DAWNBench, a Time-to-Accuracy Machine Learning Performance Benchmark Cody Coleman Daniel Kang Deepak Narayanan Luigi Nardi Tian Zhao Jian Zhang Peter Bailis K. Olukotun Christopher Ré Matei A. Zaharia 13 117 0 04 Jun 2018