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1907.07174
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Natural Adversarial Examples
Computer Vision and Pattern Recognition (CVPR), 2019
16 July 2019
Dan Hendrycks
Kevin Zhao
Steven Basart
Jacob Steinhardt
Basel Alomair
OODD
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Papers citing
"Natural Adversarial Examples"
50 / 1,169 papers shown
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Evaluation of Out-of-Distribution Detection Performance of Self-Supervised Learning in a Controllable Environment
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IEEE International Conference on Computer Vision (ICCV), 2020
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Carl Vondrick
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Learning to Model and Ignore Dataset Bias with Mixed Capacity Ensembles
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Mark Yatskar
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Underspecification Presents Challenges for Credibility in Modern Machine Learning
Alexander DÁmour
Katherine A. Heller
D. Moldovan
Ben Adlam
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Steve Yadlowsky
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Xiaohua Zhai
D. Sculley
OffRL
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06 Nov 2020
Defense-friendly Images in Adversarial Attacks: Dataset and Metrics for Perturbation Difficulty
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Wei Liu
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231
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Recent Advances in Understanding Adversarial Robustness of Deep Neural Networks
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239
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Why Do Better Loss Functions Lead to Less Transferable Features?
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Mohammad Norouzi
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293
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30 Oct 2020
Optimism in the Face of Adversity: Understanding and Improving Deep Learning through Adversarial Robustness
Proceedings of the IEEE (Proc. IEEE), 2020
Guillermo Ortiz-Jiménez
Apostolos Modas
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P. Frossard
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356
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114
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Deep Ensembles for Low-Data Transfer Learning
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J. Puigcerver
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171
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Representation learning from videos in-the-wild: An object-centric approach
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Josip Djolonga
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283
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06 Oct 2020
FSD50K: An Open Dataset of Human-Labeled Sound Events
IEEE/ACM Transactions on Audio Speech and Language Processing (TASLP), 2020
Eduardo Fonseca
Xavier Favory
Jordi Pons
F. Font
Xavier Serra
527
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01 Oct 2020
A Unifying Review of Deep and Shallow Anomaly Detection
Proceedings of the IEEE (Proc. IEEE), 2020
Lukas Ruff
Jacob R. Kauffmann
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Wojciech Samek
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Contextual Semantic Interpretability
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MoPro: Webly Supervised Learning with Momentum Prototypes
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Defending Against Multiple and Unforeseen Adversarial Videos
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On Robustness and Transferability of Convolutional Neural Networks
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Josip Djolonga
Jessica Yung
Michael Tschannen
Rob Romijnders
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Our Evaluation Metric Needs an Update to Encourage Generalization
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A Critical Evaluation of Open-World Machine Learning
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How benign is benign overfitting?
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Amartya Sanyal
P. Dokania
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Reflection Backdoor: A Natural Backdoor Attack on Deep Neural Networks
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Measuring Robustness to Natural Distribution Shifts in Image Classification
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Evaluating Prediction-Time Batch Normalization for Robustness under Covariate Shift
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AdamP: Slowing Down the Slowdown for Momentum Optimizers on Scale-invariant Weights
Byeongho Heo
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The Pitfalls of Simplicity Bias in Neural Networks
Neural Information Processing Systems (NeurIPS), 2020
Harshay Shah
Kaustav Tamuly
Aditi Raghunathan
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Praneeth Netrapalli
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Mean-Field Approximation to Gaussian-Softmax Integral with Application to Uncertainty Estimation
Zhiyun Lu
Eugene Ie
Fei Sha
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Calibrated neighborhood aware confidence measure for deep metric learning
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István Fehérvári
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From ImageNet to Image Classification: Contextualizing Progress on Benchmarks
Dimitris Tsipras
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Aleksander Madry
235
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Model-Based Robust Deep Learning: Generalizing to Natural, Out-of-Distribution Data
Avi Schwarzschild
Hamed Hassani
George J. Pappas
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An Investigation of Why Overparameterization Exacerbates Spurious Correlations
Shiori Sagawa
Aditi Raghunathan
Pang Wei Koh
Abigail Z. Jacobs
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Reproduction of Lateral Inhibition-Inspired Convolutional Neural Network for Visual Attention and Saliency Detection
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Improved Adversarial Training via Learned Optimizer
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Yuanhao Xiong
Cho-Jui Hsieh
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Shortcut Learning in Deep Neural Networks
Nature Machine Intelligence (NMI), 2020
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R. Zemel
Wieland Brendel
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Felix Wichmann
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2,475
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Pretrained Transformers Improve Out-of-Distribution Robustness
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Xiaoyuan Liu
Eric Wallace
Adam Dziedzic
R. Krishnan
Basel Alomair
OOD
474
464
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Editable Neural Networks
International Conference on Learning Representations (ICLR), 2020
A. Sinitsin
Vsevolod Plokhotnyuk
Dmitriy V. Pyrkin
Sergei Popov
Artem Babenko
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On Translation Invariance in CNNs: Convolutional Layers can Exploit Absolute Spatial Location
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Jan van Gemert
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209
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Amit Deshpande
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V. Balasubramanian
294
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26 Feb 2020
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