Fetching the paper…
Reading the bibliography…
We introduce AugLy, a data augmentation library with a focus on adversarial robustness.
Data augmenting contrastive learning of speech representations in the time domain, 2020
Eugene Kharitonov, Morgane Rivière, Gabriel Synnaeve, Lior Wolf, Pierre-Emmanuel Mazaré, Matthijs Douze, and Emmanuel Dupoux · 2007
Earlier work this paper cites.
Deep residual learning for image recognition, 2015
Kaiming He, Xiangyu Zhang, Shaoqing Ren, and Jian Sun · 2015
Earlier work this paper cites.
librosa: Audio and music signal analysis in python, 2015
Brian McFee, Colin Raffel, Dawen Liang, Daniel P.W. Ellis, Matt McVicar, Eric Battenberg, and Oriol Nieto · 2015
Earlier work this paper cites.
Very deep convolutional networks for large-scale image recognition, 2015
Karen Simonyan and Andrew Zisserman · 2015
Earlier work this paper cites.
torchvision
Francisco Massa, Vasilis Vryniotis, and Nicolas Hug · 2017
Earlier work this paper cites.
Gender bias in coreference resolution: Evaluation and debiasing methods
Jieyu Zhao, Tianlu Wang, Mark Yatskar, Vicente Ordonez, and Kai-Wei Chang · 2018
Earlier work this paper cites.
Autoaugment: Learning augmentation strategies from data, 2019
Ekin D. Cubuk, Barret Zoph, Dandelion Mane, Vijay Vasudevan, and Quoc V. Le · 2019
Earlier work this paper cites.
Benchmarking neural network robustness to common corruptions and perturbations, 2019
Dan Hendrycks and Thomas Dietterich · 2019
Earlier work this paper cites.
Do imagenet classifiers generalize to imagenet?, 2019
Benjamin Recht, Rebecca Roelofs, Ludwig Schmidt, and Vaishaal Shankar · 2019
Earlier work this paper cites.
A survey on image data augmentation for deep learning, 2019
C. Shorten and T.M. Khoshgoftaar · 2019
Cited alongside, same era.
Albumentations: fast and flexible image augmentations, 2020
Alexander Buslaev, Alex Parinov, Eugene Khvedchenya, Vladimir I. Iglovikov, and Alexandr A. Kalinin · 2020
Cited alongside, same era.
Queens are powerful too: Mitigating gender bias in dialogue generation, 2020
Emily Dinan, Angela Fan, Adina Williams, Jack Urbanek, Douwe Kiela, and Jason Weston · 2020
Cited alongside, same era.
The deepfake detection challenge (dfdc) dataset, 2020
Brian Dolhansky, Joanna Bitton, Ben Pflaum, Jikuo Lu, Russ Howes, Menglin Wang, and Cristian Canton Ferrer · 2020
Cited alongside, same era.
Augmix: A simple data processing method to improve robustness and uncertainty, 2020
Dan Hendrycks, Norman Mu, Ekin D. Cubuk, Barret Zoph, Justin Gilmer, and Balaji Lakshminarayanan · 2020
Cited alongside, same era.
Videomix: Rethinking data augmentation for video classification, 2020
Sangdoo Yun, Seong Oh Joon, Byeongho Heo, Dongyoon Han, and Jinhyung Kim · 2020
Later among the works it cites.
The 2021 image similarity challenge and dataset, 2021
Matthijs Douze, Giorgos Tolias, Ed Pizzi, Zoe Papakipos, Lowik Chanussot, Filip Radenovic, Tomas Jenicek, Maxim Maximov, Laura Leal-Taixé, Ismail Elezi, Ondřej Chum, and Cristian Canton Ferrer · 2021
Later among the works it cites.
PyTorchVideo: A deep learning library for video understanding
Haoqi Fan, Tullie Murrell, Heng Wang, Kalyan Vasudev Alwala, Yanghao Li, Yilei Li, Bo Xiong, Nikhila Ravi, Meng Li, Haichuan Yang, Jitendra Malik, Ross Girshick, Matt Feiszli, Aaron Adcock, Wan-Yen Lo, and Christoph Feichtenhofer · 2021
Later among the works it cites.
A survey of data augmentation approaches for nlp, 2021
Steven Y. Feng, Varun Gangal, Jason Wei, Sarath Chandar, Soroush Vosoughi, Teruko Mitamura, and Eduard Hovy · 2021
Later among the works it cites.
Textflint: Unified multilingual robustness evaluation toolkit for natural language processing, 2021
Tao Gui, Xiao Wang, Qi Zhang, Qin Liu, Yicheng Zou, Xin Zhou, Rui Zheng, Chong Zhang, Jiacheng Ye Qinzhuo Wu, Zexiong Pang, Yongxin Zhang, Zhengyan Li, Ruotian Ma, Zichu Fei, Ruijian Cai, Xingwu Hu Jun Zhao, Zhiheng Yan, Yiding Tan, Yuan Hu, Qiyuan Bian, Zhihua Liu, Bolin Zhu, Shan Qin, Xiaoyu Xing, Jinlan Fu, Yue Zhang, Minlong Peng, Xiaoqing Zheng, Zhongyu Wei Yaqian Zhou, Xipeng Qiu, and Xuanjing Huang · 2021
alphaXiv searches the wider corpus for related work and actual follow-ups.
alphaXiv is searching for related work…
Xiaolong Liu, Jinchao Liang, Zi-Yi Wang, Yi-Te Tsai, Chia-Chen Lin, and Chih-Cheng Chen · 2020
Cited alongside, same era.
Textattack: A framework for adversarial attacks, data augmentation, and adversarial training in nlp
John X. Morris, Eli Lifland, Jin Yong Yoo, Jake Grigsby, Di Jin, and Yanjun Qi · 2020
Cited alongside, same era.
Using ai to detect covid-19 misinformation and exploitative content
Roshan Sumbaly, Mahalia Miller, Hardik Shah, Yang Xie, Sean Chang Culatana, Tim Khatkevich, Enming Luo, Emanuel Strauss, Gergely Szilvasy, Manika Puri, Pratyusa Manadhata, Benjamin Graham, Matthijs Douze, Zeki Yalniz, and Hervé Jegou · 2020
Cited alongside, same era.
Efficientnet: Rethinking model scaling for convolutional neural networks, 2020
Mingxing Tan and Quoc V. Le · 2020
Cited alongside, same era.
Later among the works it cites.
The many faces of robustness: A critical analysis of out-of-distribution generalization, 2021
Dan Hendrycks, Steven Basart, Norman Mu, Saurav Kadavath, Frank Wang, Evan Dorundo, Rahul Desai, Tyler Zhu, Samyak Parajuli, Mike Guo, Dawn Song, Jacob Steinhardt, and Justin Gilmer · 2021
Later among the works it cites.
Audiomentations, Aug. 2021
Iver Jordal · 2021
Later among the works it cites.
Hi, my name is martha: Using names to measure and mitigate bias in generative dialogue models, 2021
Eric Michael Smith and Adina Williams · 2021
Later among the works it cites.
Torchaudio: Building blocks for audio and speech processing
Yao-Yuan Yang, Moto Hira, Zhaoheng Ni, Anjali Chourdia, Artyom Astafurov, Caroline Chen, Ching-Feng Yeh, Christian Puhrsch, David Pollack, Dmitriy Genzel, Donny Greenberg, Edward Z. Yang, Jason Lian, Jay Mahadeokar, Jeff Hwang, Ji Chen, Peter Goldsborough, Prabhat Roy, Sean Narenthiran, Shinji Watanabe, Soumith Chintala, Vincent Quenneville-Bélair, and Yangyang Shi · 2021
Later among the works it cites.