Exploring the Limits of Weakly Supervised Pretraining

2 May 2018

L. V. D. van der Maaten

VLM

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Papers citing "Exploring the Limits of Weakly Supervised Pretraining"

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On the potential for open-endedness in neural networks N. Guttenberg N. Virgo A. Penn 13 10 0 12 Dec 2018
Deep Anomaly Detection with Outlier Exposure Dan Hendrycks Mantas Mazeika Thomas G. Dietterich OODD 11 1,450 0 11 Dec 2018
Theoretical Guarantees of Deep Embedding Losses Under Label Noise Nam Le J. Odobez NoLa 9 1 0 06 Dec 2018
Transferring Knowledge across Learning Processes Sebastian Flennerhag Pablo G. Moreno Neil D. Lawrence Andreas C. Damianou 11 64 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 11 146 0 02 Dec 2018
Stochastic Gradient Push for Distributed Deep Learning Mahmoud Assran Nicolas Loizou Nicolas Ballas Michael G. Rabbat 11 343 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 4 186 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 24 6 0 23 Nov 2018
Rethinking ImageNet Pre-training Kaiming He Ross B. Girshick Piotr Dollár VLM SSeg 35 1,076 0 21 Nov 2018
Domain Adaptive Transfer Learning with Specialist Models Jiquan Ngiam Daiyi Peng Vijay Vasudevan Simon Kornblith Quoc V. Le Ruoming Pang 19 108 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 19 7 0 16 Nov 2018
Learning data augmentation policies using augmented random search Mingyang Geng Kele Xu Bo Ding Huaimin Wang Lei Zhang 11 9 0 12 Nov 2018
Image Chat: Engaging Grounded Conversations Kurt Shuster Samuel Humeau Antoine Bordes Jason Weston 23 115 0 02 Nov 2018
Engaging Image Captioning Via Personality Kurt Shuster Samuel Humeau Hexiang Hu Antoine Bordes Jason Weston 18 149 0 25 Oct 2018
Deep Reinforcement Learning Yuxi Li VLM OffRL 23 144 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 8 36 0 19 Sep 2018
On the Importance of Visual Context for Data Augmentation in Scene Understanding Nikita Dvornik Julien Mairal Cordelia Schmid 24 84 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 16 62 0 05 Sep 2018
Emotion Recognition in Speech using Cross-Modal Transfer in the Wild Samuel Albanie Arsha Nagrani Andrea Vedaldi Andrew Zisserman CVBM 22 270 0 16 Aug 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
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 11 117 0 04 Jun 2018
AutoAugment: Learning Augmentation Policies from Data E. D. Cubuk Barret Zoph Dandelion Mané Vijay Vasudevan Quoc V. Le 40 1,754 0 24 May 2018
Do Better ImageNet Models Transfer Better? Simon Kornblith Jonathon Shlens Quoc V. Le OOD MLT 50 1,308 0 23 May 2018
Value-aware Quantization for Training and Inference of Neural Networks Eunhyeok Park S. Yoo Peter Vajda MQ 4 157 0 20 Apr 2018
Squeeze-and-Excitation Networks Jie Hu Li Shen Samuel Albanie Gang Sun Enhua Wu 17 25,998 0 05 Sep 2017