Scanflow: A multi-graph framework for Machine Learning workflow
management, supervision, and debugging

Scanflow: A multi-graph framework for Machine Learning workflow management, supervision, and debugging

4 November 2021

Gusseppe Bravo Rocca

Jeffrey Falkanger

ArXiv (abs)PDF HTML

Papers citing "Scanflow: A multi-graph framework for Machine Learning workflow management, supervision, and debugging"

16 / 16 papers shown

Title
The Next Decade in AI: Four Steps Towards Robust Artificial Intelligence G. Marcus VLM 86 368 0 14 Feb 2020
Model Extraction Attacks against Recurrent Neural Networks Tatsuya Takemura Naoto Yanai T. Fujiwara MLAU MIACV AAML 61 15 0 01 Feb 2020
Black-Box Adversarial Attack with Transferable Model-based Embedding Zhichao Huang Tong Zhang 75 119 0 17 Nov 2019
MNIST-C: A Robustness Benchmark for Computer Vision Norman Mu Justin Gilmer 67 213 0 05 Jun 2019
Adversarial Examples Are Not Bugs, They Are Features Andrew Ilyas Shibani Santurkar Dimitris Tsipras Logan Engstrom Brandon Tran Aleksander Madry SILM 95 1,845 0 06 May 2019
The Neuro-Symbolic Concept Learner: Interpreting Scenes, Words, and Sentences From Natural Supervision Jiayuan Mao Chuang Gan Pushmeet Kohli J. Tenenbaum Jiajun Wu NAI 142 703 0 26 Apr 2019
Feature Denoising for Improving Adversarial Robustness Cihang Xie Yuxin Wu Laurens van der Maaten Alan Yuille Kaiming He 130 915 0 09 Dec 2018
Towards Robust Interpretability with Self-Explaining Neural Networks David Alvarez-Melis Tommi Jaakkola MILM XAI 130 948 0 20 Jun 2018
A Survey Of Methods For Explaining Black Box Models Riccardo Guidotti A. Monreale Salvatore Ruggieri Franco Turini D. Pedreschi F. Giannotti XAI 150 3,989 0 06 Feb 2018
Fashion-MNIST: a Novel Image Dataset for Benchmarking Machine Learning Algorithms Han Xiao Kashif Rasul Roland Vollgraf 285 8,928 0 25 Aug 2017
Evasion Attacks against Machine Learning at Test Time Battista Biggio Igino Corona Davide Maiorca B. Nelson Nedim Srndic Pavel Laskov Giorgio Giacinto Fabio Roli AAML 163 2,160 0 21 Aug 2017
Adversarial examples in the physical world Alexey Kurakin Ian Goodfellow Samy Bengio SILM AAML 549 5,912 0 08 Jul 2016
Effective Approaches to Attention-based Neural Machine Translation Thang Luong Hieu H. Pham Christopher D. Manning 420 7,971 0 17 Aug 2015
Neural Machine Translation by Jointly Learning to Align and Translate Dzmitry Bahdanau Kyunghyun Cho Yoshua Bengio AIMat 584 27,338 0 01 Sep 2014
Intriguing properties of neural networks Christian Szegedy Wojciech Zaremba Ilya Sutskever Joan Bruna D. Erhan Ian Goodfellow Rob Fergus AAML 293 14,968 1 21 Dec 2013
Representation Learning: A Review and New Perspectives Yoshua Bengio Aaron Courville Pascal Vincent OOD SSL 286 12,467 0 24 Jun 2012