Title
An Adaptive Method for Weak Supervision with Drifting Data Alessio Mazzetto Reza Esfandiarpoor E. Upfal Stephen H. Bach Stephen H. Bach 120 1 0 02 Jun 2023
Rekall: Specifying Video Events using Compositions of Spatiotemporal Labels Daniel Y. Fu Will Crichton James Hong Xinwei Yao Haotian Zhang A. Truong A. Narayan Maneesh Agrawala Christopher Ré Kayvon Fatahalian 54 48 0 07 Oct 2019
Learning Dependency Structures for Weak Supervision Models P. Varma Frederic Sala A. He Alexander Ratner Christopher Ré NoLa 92 67 0 14 Mar 2019
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 76 146 0 02 Dec 2018
Training Complex Models with Multi-Task Weak Supervision Alexander Ratner Braden Hancock Jared A. Dunnmon Frederic Sala Shreyash Pandey Christopher Ré 53 213 0 05 Oct 2018
Fast Video Shot Transition Localization with Deep Structured Models Shitao Tang Xue Jiang Zhanghui Kuang Yimin Chen Wayne Zhang 45 46 0 13 Aug 2018
Exploring the Limits of Weakly Supervised Pretraining D. Mahajan Ross B. Girshick Vignesh Ramanathan Kaiming He Manohar Paluri Yixuan Li Ashwin R. Bharambe Laurens van der Maaten VLM 205 1,370 0 02 May 2018
YOLOv3: An Incremental Improvement Joseph Redmon Ali Farhadi ObjD 130 21,482 0 08 Apr 2018
Generating Multi-Agent Trajectories using Programmatic Weak Supervision Eric Zhan Stephan Zheng Yisong Yue Long Sha P. Lucey 86 90 0 20 Mar 2018
Learning From Noisy Singly-labeled Data A. Khetan Zachary Chase Lipton Anima Anandkumar NoLa 65 162 0 13 Dec 2017
Learning to Learn from Weak Supervision by Full Supervision Mostafa Dehghani Aliaksei Severyn S. Rothe J. Kamps NoLa 69 57 0 30 Nov 2017
Snorkel: Rapid Training Data Creation with Weak Supervision Alexander Ratner Stephen H. Bach Henry R. Ehrenberg Jason Alan Fries Sen Wu Christopher Ré 81 1,030 0 28 Nov 2017
Can Spatiotemporal 3D CNNs Retrace the History of 2D CNNs and ImageNet? Kensho Hara Hirokatsu Kataoka Y. Satoh 3DPC 128 1,935 0 27 Nov 2017
Estimating Accuracy from Unlabeled Data: A Probabilistic Logic Approach Emmanouil Antonios Platanios Hoifung Poon Tom Michael Mitchell Eric Horvitz 59 59 0 19 May 2017
Large-scale, Fast and Accurate Shot Boundary Detection through Spatio-temporal Convolutional Neural Networks Ahmed Hassanien Mohamed A. Elgharib Ahmed A. S. Seleim Sung-Ho Bae M. Hefeeda Wojciech Matusik 49 51 0 09 May 2017
Neural Ranking Models with Weak Supervision Mostafa Dehghani Hamed Zamani Aliaksei Severyn J. Kamps W. Bruce Croft 75 421 0 28 Apr 2017
Who Said What: Modeling Individual Labelers Improves Classification M. Guan Varun Gulshan Andrew M. Dai Geoffrey E. Hinton NoLa 64 226 0 26 Mar 2017
Learning the Structure of Generative Models without Labeled Data Stephen H. Bach Bryan D. He Alexander Ratner Christopher Ré 65 166 0 02 Mar 2017
Constrained Deep Weak Supervision for Histopathology Image Segmentation Zhipeng Jia Xingyi Huang E. Chang Yan Xu 108 220 0 03 Jan 2017
Neural Symbolic Machines: Learning Semantic Parsers on Freebase with Weak Supervision Chen Liang Jonathan Berant Quoc V. Le Kenneth D. Forbus Ni Lao NAI 122 406 0 31 Oct 2016
Densely Connected Convolutional Networks Gao Huang Zhuang Liu Laurens van der Maaten Kilian Q. Weinberger PINN 3DV 793 36,881 0 25 Aug 2016
Data Programming: Creating Large Training Sets, Quickly Alexander Ratner Christopher De Sa Sen Wu Daniel Selsam Christopher Ré 199 718 0 25 May 2016
Joint Face Detection and Alignment using Multi-task Cascaded Convolutional Networks Kaipeng Zhang Zhanpeng Zhang Zhifeng Li Yu Qiao CVBM 178 4,974 0 11 Apr 2016
Show, Attend and Tell: Neural Image Caption Generation with Visual Attention Ke Xu Jimmy Ba Ryan Kiros Kyunghyun Cho Aaron Courville Ruslan Salakhutdinov R. Zemel Yoshua Bengio DiffM 350 10,079 0 10 Feb 2015
An Introduction to Matrix Concentration Inequalities J. Tropp 170 1,155 0 07 Jan 2015
Spectral Methods meet EM: A Provably Optimal Algorithm for Crowdsourcing Yuchen Zhang Xi Chen Dengyong Zhou Michael I. Jordan FedML 152 386 0 15 Jun 2014
Tensor decompositions for learning latent variable models Anima Anandkumar Rong Ge Daniel J. Hsu Sham Kakade Matus Telgarsky 445 1,147 0 29 Oct 2012
Identifiability of parameters in latent structure models with many observed variables E. Allman C. Matias J. Rhodes CML 159 534 0 29 Sep 2008