Revisiting Unreasonable Effectiveness of Data in Deep Learning Era

10 July 2017

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

50 / 536 papers shown

Title
Image Generation for Efficient Neural Network Training in Autonomous Drone Racing Théo Morales Andriy Sarabakha Erdal Kayacan 21 11 0 06 Aug 2020
Contextualizing Enhances Gradient Based Meta Learning Evan Vogelbaum Rumen Dangovski L. Jing Marin Soljacic 66 3 0 17 Jul 2020
On Robustness and Transferability of Convolutional Neural Networks Josip Djolonga Jessica Yung Michael Tschannen Rob Romijnders Lucas Beyer ... D. Moldovan Sylvain Gelly N. Houlsby Xiaohua Zhai Mario Lucic OOD 18 154 0 16 Jul 2020
Do Adversarially Robust ImageNet Models Transfer Better? Hadi Salman Andrew Ilyas Logan Engstrom Ashish Kapoor Aleksander Madry 42 422 0 16 Jul 2020
A Survey on Computational Propaganda Detection Giovanni Da San Martino S. Cresci Alberto Barrón-Cedeño Seunghak Yu Roberto Di Pietro Preslav Nakov 43 185 0 15 Jul 2020
Measuring Robustness to Natural Distribution Shifts in Image Classification Rohan Taori Achal Dave Vaishaal Shankar Nicholas Carlini Benjamin Recht Ludwig Schmidt OOD 58 539 0 01 Jul 2020
Large image datasets: A pyrrhic win for computer vision? Vinay Uday Prabhu Abeba Birhane 33 361 0 24 Jun 2020
To Pretrain or Not to Pretrain: Examining the Benefits of Pretraining on Resource Rich Tasks Sinong Wang Madian Khabsa Hao Ma 18 26 0 15 Jun 2020
Rethinking Pre-training and Self-training Barret Zoph Golnaz Ghiasi Nayeon Lee Huayu Chen Hanxiao Liu E. D. Cubuk Quoc V. Le SSeg 53 646 0 11 Jun 2020
VirTex: Learning Visual Representations from Textual Annotations Karan Desai Justin Johnson SSL VLM 55 433 0 11 Jun 2020
Are We Hungry for 3D LiDAR Data for Semantic Segmentation? A Survey and Experimental Study Biao Gao Yancheng Pan Chengkun Li Sibo Geng Huijing Zhao 3DPC 44 25 0 08 Jun 2020
Detection of prostate cancer in whole-slide images through end-to-end training with image-level labels H. Pinckaers W. Bulten J. A. van der Laak G. Litjens MedIm 33 71 0 05 Jun 2020
An embedded system for the automated generation of labeled plant images to enable machine learning applications in agriculture Michael A. Beck Chen-Yi Liu C. Bidinosti C. Henry Cara M. Godee Manisha Ajmani VLM 19 21 0 01 Jun 2020
Med-BERT: pre-trained contextualized embeddings on large-scale structured electronic health records for disease prediction L. Rasmy Yang Xiang Z. Xie Cui Tao Degui Zhi AI4MH LM&MA 46 667 0 22 May 2020
Naive-Student: Leveraging Semi-Supervised Learning in Video Sequences for Urban Scene Segmentation Liang-Chieh Chen Raphael Gontijo-Lopes Bowen Cheng Maxwell D. Collins E. D. Cubuk Barret Zoph Hartwig Adam Jonathon Shlens 33 76 0 20 May 2020
Addressing Missing Labels in Large-Scale Sound Event Recognition Using a Teacher-Student Framework With Loss Masking Eduardo Fonseca Shawn Hershey Manoj Plakal D. Ellis A. Jansen R. C. Moore Xavier Serra NoLa 44 23 0 02 May 2020
Cheaper Pre-training Lunch: An Efficient Paradigm for Object Detection Dongzhan Zhou Xinchi Zhou Hongwen Zhang Shuai Yi Wanli Ouyang VLM 34 16 0 25 Apr 2020
Learning from Rules Generalizing Labeled Exemplars Abhijeet Awasthi Sabyasachi Ghosh Rasna Goyal Sunita Sarawagi 27 86 0 13 Apr 2020
Meta-Learning in Neural Networks: A Survey Timothy M. Hospedales Antreas Antoniou P. Micaelli Amos Storkey OOD 170 1,944 0 11 Apr 2020
Machine-Learning Dessins dÉnfants: Explorations via Modular and Seiberg-Witten Curves Yang-Hui He Edward Hirst Toby Peterken 26 37 0 10 Apr 2020
PatchVAE: Learning Local Latent Codes for Recognition Kamal Gupta Saurabh Singh Abhinav Shrivastava SSL DRL 14 20 0 07 Apr 2020
How Useful is Self-Supervised Pretraining for Visual Tasks? Alejandro Newell Jia Deng SSL 30 136 0 31 Mar 2020
DPGN: Distribution Propagation Graph Network for Few-shot Learning Ling Yang Liang Li Zilun Zhang Xinyu Zhou Erjin Zhou Yu Liu 32 206 0 31 Mar 2020
Scalable learning for bridging the species gap in image-based plant phenotyping Daniel Ward Peyman Moghadam 36 29 0 24 Mar 2020
Robust and On-the-fly Dataset Denoising for Image Classification Jiaming Song Lunjia Hu Michael Auli Yann N. Dauphin Tengyu Ma NoLa OOD 29 13 0 24 Mar 2020
Meta Pseudo Labels Hieu H. Pham Zihang Dai Qizhe Xie Minh-Thang Luong Quoc V. Le VLM 286 660 0 23 Mar 2020
Model Assertions for Monitoring and Improving ML Models Daniel Kang Deepti Raghavan Peter Bailis Matei A. Zaharia 24 58 0 03 Mar 2020
Differentially Private Deep Learning with Smooth Sensitivity Lichao Sun Yingbo Zhou Philip S. Yu Caiming Xiong FedML 32 9 0 01 Mar 2020
Rewriting History with Inverse RL: Hindsight Inference for Policy Improvement Benjamin Eysenbach Xinyang Geng Sergey Levine Ruslan Salakhutdinov OffRL 23 86 0 25 Feb 2020
Strength from Weakness: Fast Learning Using Weak Supervision Joshua Robinson Stefanie Jegelka S. Sra 45 32 0 19 Feb 2020
Improving Deep Learning For Airbnb Search Malay Haldar Mustafa Abdool Prashant Ramanathan Tyler Sax Lanbo Zhang Aamir Mansawala Shulin Yang B. Turnbull Junshuo Liao 46 39 0 10 Feb 2020
Semi-Supervised Class Discovery Jeremy Nixon J. Liu David Berthelot 30 2 0 10 Feb 2020
Quantifying the Value of Lateral Views in Deep Learning for Chest X-rays Mohammad Hashir H. Bertrand Joseph Paul Cohen 25 24 0 07 Feb 2020
Designing for the Long Tail of Machine Learning Martin Lindvall J. Molin HAI 11 2 0 21 Jan 2020
Curriculum Labeling: Revisiting Pseudo-Labeling for Semi-Supervised Learning Paola Cascante-Bonilla Fuwen Tan Yanjun Qi Vicente Ordonez ODL 53 23 0 16 Jan 2020
Deep Audio-Visual Learning: A Survey Hao Zhu Mandi Luo Rui Wang A. Zheng Ran He 36 156 0 14 Jan 2020
Neural Data Server: A Large-Scale Search Engine for Transfer Learning Data Xi Yan David Acuna Sanja Fidler 51 43 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 Decebal Constantin Mocanu 30 12 0 07 Jan 2020
High Performance I/O For Large Scale Deep Learning A. Aizman Gavin Maltby Thomas Breuel 24 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 58 81 0 02 Jan 2020
Quantifying the Performance of Federated Transfer Learning Qinghe Jing Weiyan Wang Junxue Zhang Han Tian Kai Chen FedML 49 24 0 30 Dec 2019
Effective Data Augmentation with Multi-Domain Learning GANs Shin'ya Yamaguchi Sekitoshi Kanai Takeharu Eda 27 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 122 1,189 0 24 Dec 2019
Locality and compositionality in zero-shot learning Tristan Sylvain Linda Petrini R. Devon Hjelm 31 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 37 50 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 33 35 0 13 Dec 2019
ClusterFit: Improving Generalization of Visual Representations Xueting Yan Ishan Misra Abhinav Gupta Deepti Ghadiyaram D. Mahajan SSL VLM 32 132 0 06 Dec 2019
Waterfall Atrous Spatial Pooling Architecture for Efficient Semantic Segmentation Bruno Artacho Andreas E. Savakis SSeg 22 50 0 06 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 42 536 0 05 Dec 2019
Adjusting Decision Boundary for Class Imbalanced Learning Byungju Kim Junmo Kim 47 76 0 04 Dec 2019