Exploring the Limits of Weakly Supervised Pretraining

2 May 2018

Laurens van der Maaten

VLM

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Papers citing "Exploring the Limits of Weakly Supervised Pretraining"

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Title
CondConv: Conditionally Parameterized Convolutions for Efficient Inference Brandon Yang Gabriel Bender Quoc V. Le Jiquan Ngiam MedIm 3DV 347 744 0 10 Apr 2019
Modularized Textual Grounding for Counterfactual Resilience Zhiyuan Fang Shu Kong Charless C. Fowlkes Yezhou Yang 185 33 0 07 Apr 2019
Data Shapley: Equitable Valuation of Data for Machine Learning Amirata Ghorbani James Zou TDI FedML 456 940 0 05 Apr 2019
Sequence-to-Sequence Speech Recognition with Time-Depth Separable Convolutions Awni Y. Hannun Ann Lee Qiantong Xu R. Collobert 147 104 0 04 Apr 2019
Overcoming Catastrophic Forgetting with Unlabeled Data in the Wild Kibok Lee Kimin Lee Jinwoo Shin Honglak Lee CLL 335 222 0 29 Mar 2019
Cross-Modal Data Programming Enables Rapid Medical Machine Learning Jared A. Dunnmon Alexander Ratner Nishith Khandwala Khaled Kamal Saab Matthew Markert ... R. Goldman Christopher Lee-Messer M. Lungren D. Rubin Christopher Ré MedIm 133 77 0 26 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 150 51 0 15 Mar 2019
Defense Against Adversarial Images using Web-Scale Nearest-Neighbor SearchComputer Vision and Pattern Recognition (CVPR), 2019 Abhimanyu Dubey Laurens van der Maaten Zeki Yalniz Shouqing Yang D. Mahajan AAML 214 66 0 05 Mar 2019
Less is More: Learning Highlight Detection from Video DurationComputer Vision and Pattern Recognition (CVPR), 2019 Bo Xiong Yannis Kalantidis Deepti Ghadiyaram Kristen Grauman 146 125 0 03 Mar 2019
Object Discovery From a Single Unlabeled Image by Mining Frequent Itemset With Multi-scale FeaturesIEEE Transactions on Image Processing (TIP), 2019 Runsheng Zhang Yaping Huang Mengyang Pu Jian Zhang Q. Guan Qi Zou Haibin Ling ObjD 221 34 0 26 Feb 2019
Learning a Deep ConvNet for Multi-label Classification with Partial Labels Thibaut Durand Nazanin Mehrasa Greg Mori SSL 165 258 0 26 Feb 2019
Self-supervised Visual Feature Learning with Deep Neural Networks: A Survey Longlong Jing Yingli Tian SSL 392 1,891 0 16 Feb 2019
MultiGrain: a unified image embedding for classes and instances Maxim Berman Edouard Grave Andrea Vedaldi Iasonas Kokkinos Matthijs Douze 230 118 0 14 Feb 2019
Robust Inference via Generative Classifiers for Handling Noisy LabelsInternational Conference on Machine Learning (ICML), 2019 Kimin Lee Sukmin Yun Kibok Lee Honglak Lee Yue Liu Jinwoo Shin NoLa 261 152 0 31 Jan 2019
Is Pretraining Necessary for Hyperspectral Image Classification? Hyungtae Lee Sungmin Eum H. Kwon SSeg 103 14 0 24 Jan 2019
Evaluating Text-to-Image Matching using Binary Image Selection (BISON) Hexiang Hu Ishan Misra Laurens van der Maaten 162 24 0 19 Jan 2019
Class-Balanced Loss Based on Effective Number of Samples Huayu Chen Menglin Jia Nayeon Lee Yang Song Serge J. Belongie 968 2,677 0 16 Jan 2019
Deep Learning for Human Affect Recognition: Insights and New Developments Philipp V. Rouast M. Adam R. Chiong 145 192 0 09 Jan 2019
D3TW: Discriminative Differentiable Dynamic Time Warping for Weakly Supervised Action Alignment and Segmentation C. Chang De-An Huang Yanan Sui Li Fei-Fei Juan Carlos Niebles 254 169 0 09 Jan 2019
Self-Supervised Learning from Web Data for Multimodal Retrieval Raul Gomez Lluís Gómez J. Gibert Dimosthenis Karatzas 156 25 0 07 Jan 2019
Weakly Supervised Active Learning with Cluster Annotation Fábio Perez R. Lebret Karl Aberer 98 10 0 31 Dec 2018
Inverse Cooking: Recipe Generation from Food Images Amaia Salvador M. Drozdzal Xavier Giró-i-Nieto Adriana Romero 178 163 0 14 Dec 2018
On the potential for open-endedness in neural networks N. Guttenberg N. Virgo A. Penn 124 11 0 12 Dec 2018
Deep Anomaly Detection with Outlier Exposure Dan Hendrycks Mantas Mazeika Thomas G. Dietterich OODD 1.3K 1,635 0 11 Dec 2018
Theoretical Guarantees of Deep Embedding Losses Under Label Noise Nam Le J. Odobez NoLa 80 1 0 06 Dec 2018
Transferring Knowledge across Learning Processes Sebastian Flennerhag Pablo G. Moreno Neil D. Lawrence Andreas C. Damianou 194 65 0 03 Dec 2018
Snorkel DryBell: A Case Study in Deploying Weak Supervision at Industrial Scale Stephen H. Bach Daniel Rodríguez Yintao Liu Chong Luo Haidong Shao ... Braden Hancock H. Alborzi Rahul Kuchhal Christopher Ré Rob Malkin 203 149 0 02 Dec 2018
Stochastic Gradient Push for Distributed Deep Learning Mahmoud Assran Nicolas Loizou Nicolas Ballas Michael G. Rabbat 256 377 0 27 Nov 2018
Deep Learning Inference in Facebook Data Centers: Characterization, Performance Optimizations and Hardware Implications Jongsoo Park Maxim Naumov Protonu Basu Summer Deng Aravind Kalaiah ... Lin Qiao Vijay Rao Nadav Rotem S. Yoo M. Smelyanskiy FedML GNN BDL 163 195 0 24 Nov 2018
A Simple Non-i.i.d. Sampling Approach for Efficient Training and Better Generalization Bowen Cheng Yunchao Wei Jiahui Yu Shiyu Chang Jinjun Xiong Wen-mei W. Hwu Thomas S. Huang Humphrey Shi OOD VLM 154 6 0 23 Nov 2018
Rethinking ImageNet Pre-trainingIEEE International Conference on Computer Vision (ICCV), 2018 Kaiming He Ross B. Girshick Piotr Dollár VLM SSeg 528 1,151 0 21 Nov 2018
Domain Adaptive Transfer Learning with Specialist Models Jiquan Ngiam Daiyi Peng Vijay Vasudevan Simon Kornblith Quoc V. Le Ruoming Pang 192 113 0 16 Nov 2018
GPipe: Efficient Training of Giant Neural Networks using Pipeline Parallelism Yanping Huang Yonglong Cheng Ankur Bapna Orhan Firat Mia Xu Chen ... HyoukJoong Lee Jiquan Ngiam Quoc V. Le Yonghui Wu Zhifeng Chen GNN MoE 174 7 0 16 Nov 2018
Learning data augmentation policies using augmented random search Mingyang Geng Kele Xu Bo Ding Huaimin Wang Lei Zhang 88 10 0 12 Nov 2018
Image Chat: Engaging Grounded Conversations Kurt Shuster Samuel Humeau Antoine Bordes Jason Weston 297 122 0 02 Nov 2018
Engaging Image Captioning Via Personality Kurt Shuster Samuel Humeau Hexiang Hu Antoine Bordes Jason Weston 136 160 0 25 Oct 2018
Deep Reinforcement Learning Yuxi Li VLM OffRL 323 144 0 15 Oct 2018
Learning to Interpret Satellite Images Using Wikipedia Evan Sheehan Burak Uzkent Chenlin Meng Zhongyi Tang Marshall Burke David B. Lobell Stefano Ermon 115 38 0 19 Sep 2018
On the Importance of Visual Context for Data Augmentation in Scene Understanding Nikita Dvornik Julien Mairal Cordelia Schmid 152 90 0 06 Sep 2018
Improving Question Answering by Commonsense-Based Pre-Training Wanjun Zhong Duyu Tang N. Duan Ming Zhou Jiahai Wang Jian Yin NAI LRM ReLM 210 490 0 05 Sep 2018
Emotion Recognition in Speech using Cross-Modal Transfer in the Wild Samuel Albanie Arsha Nagrani Andrea Vedaldi Andrew Zisserman CVBM 159 281 0 16 Aug 2018
Fluid Annotation: A Human-Machine Collaboration Interface for Full Image Annotation Mykhaylo Andriluka J. Uijlings V. Ferrari VLM 281 82 0 20 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 177 121 0 04 Jun 2018
AutoAugment: Learning Augmentation Policies from Data E. D. Cubuk Barret Zoph Dandelion Mané Vijay Vasudevan Quoc V. Le 724 1,897 0 24 May 2018
Do Better ImageNet Models Transfer Better? Simon Kornblith Jonathon Shlens Quoc V. Le OOD MLT 451 1,433 0 23 May 2018
Value-aware Quantization for Training and Inference of Neural NetworksEuropean Conference on Computer Vision (ECCV), 2018 Eunhyeok Park S. Yoo Peter Vajda MQ 134 169 0 20 Apr 2018
Squeeze-and-Excitation Networks Jie Hu Li Shen Samuel Albanie Gang Sun Enhua Wu 1.5K 31,116 0 05 Sep 2017