An Empirical Analysis of Backward Compatibility in Machine Learning
Systems

An Empirical Analysis of Backward Compatibility in Machine Learning Systems

11 August 2020

Megha Srivastava

Papers citing "An Empirical Analysis of Backward Compatibility in Machine Learning Systems"

17 / 17 papers shown

Title
An Experience Report on Regression-Free Repair of Deep Neural Network Model Takao Nakagawa Susumu Tokumoto Shogo Tokui Fuyuki Ishikawa 86 1 0 10 Mar 2025
Benchmarking Neural Network Robustness to Common Corruptions and Perturbations Dan Hendrycks Thomas G. Dietterich OOD VLM 172 3,435 0 28 Mar 2019
An Empirical Study of Example Forgetting during Deep Neural Network Learning Mariya Toneva Alessandro Sordoni Rémi Tachet des Combes Adam Trischler Yoshua Bengio Geoffrey J. Gordon 112 734 0 12 Dec 2018
Towards Accountable AI: Hybrid Human-Machine Analyses for Characterizing System Failure Besmira Nushi Ece Kamar Eric Horvitz 37 140 0 19 Sep 2018
Manifold: A Model-Agnostic Framework for Interpretation and Diagnosis of Machine Learning Models Jiawei Zhang Yang Wang Piero Molino Lezhi Li D. Ebert FAtt 48 204 0 01 Aug 2018
Automated Data Slicing for Model Validation:A Big data - AI Integration Approach Yeounoh Chung Tim Kraska N. Polyzotis Ki Hyun Tae Steven Euijong Whang 84 131 0 16 Jul 2018
Not-so-supervised: a survey of semi-supervised, multi-instance, and transfer learning in medical image analysis Veronika Cheplygina Marleen de Bruijne J. Pluim 74 750 0 17 Apr 2018
MentorNet: Learning Data-Driven Curriculum for Very Deep Neural Networks on Corrupted Labels Lu Jiang Zhengyuan Zhou Thomas Leung Li Li Li Fei-Fei NoLa 98 1,453 0 14 Dec 2017
Snorkel: Rapid Training Data Creation with Weak Supervision Alexander Ratner Stephen H. Bach Henry R. Ehrenberg Jason Alan Fries Sen Wu Christopher Ré 73 1,028 0 28 Nov 2017
Measuring Catastrophic Forgetting in Neural Networks Ronald Kemker Marc McClure Angelina Abitino Tyler L. Hayes Christopher Kanan CLL 105 721 0 07 Aug 2017
Towards Deep Learning Models Resistant to Adversarial Attacks Aleksander Madry Aleksandar Makelov Ludwig Schmidt Dimitris Tsipras Adrian Vladu SILM OOD 307 12,069 0 19 Jun 2017
Learning from Noisy Labels with Distillation Yuncheng Li Jianchao Yang Yale Song Liangliang Cao Jiebo Luo Li Li NoLa 80 550 0 07 Mar 2017
Transfer learning for multi-center classification of chronic obstructive pulmonary disease Veronika Cheplygina Isabel Pino Peña E. del Barrio D. Lynch Lauge Sørensen Marleen de Bruijne OOD 40 64 0 18 Jan 2017
On Human Intellect and Machine Failures: Troubleshooting Integrative Machine Learning Systems Besmira Nushi Ece Kamar Eric Horvitz Donald Kossmann 63 77 0 24 Nov 2016
Adversarial Machine Learning at Scale Alexey Kurakin Ian Goodfellow Samy Bengio AAML 472 3,144 0 04 Nov 2016
The Unreasonable Effectiveness of Noisy Data for Fine-Grained Recognition J. Krause Benjamin Sapp Andrew Howard Howard Zhou Alexander Toshev Tom Duerig James Philbin Fei-Fei Li 71 364 0 20 Nov 2015
An Empirical Investigation of Catastrophic Forgetting in Gradient-Based Neural Networks Ian Goodfellow M. Berk Mirza Xia Da Aaron Courville Yoshua Bengio 149 1,442 0 21 Dec 2013

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