Papers citing "Inspect, Understand, Overcome: A Survey of Practical Methods for AI Safety"

50 / 91 papers shown

Title
Towards Recognizing Unseen Categories in Unseen Domains Massimiliano Mancini Zeynep Akata Elisa Ricci Barbara Caputo VLM 89 101 0 23 Jul 2020
Self-Supervised Monocular Depth Estimation: Solving the Dynamic Object Problem by Semantic Guidance Marvin Klingner Jan-Aike Termöhlen Jonas Mikolajczyk Tim Fingscheidt MDE 104 320 0 14 Jul 2020
Self-Supervised Domain Mismatch Estimation for Autonomous Perception Jonas Löhdefink Justin Fehrling Marvin Klingner Fabian Hüger Peter Schlicht Nico M. Schmidt Tim Fingscheidt 30 15 0 15 Jun 2020
Integer Quantization for Deep Learning Inference: Principles and Empirical Evaluation Hao Wu Patrick Judd Xiaojie Zhang Mikhail Isaev Paulius Micikevicius MQ 65 349 0 20 Apr 2020
Meta-Learning in Neural Networks: A Survey Timothy M. Hospedales Antreas Antoniou P. Micaelli Amos Storkey OOD 316 1,950 0 11 Apr 2020
Learning Autoencoders with Relational Regularization Hongteng Xu Dixin Luo Ricardo Henao Svati Shah Lawrence Carin 45 42 0 07 Feb 2020
Towards Unified INT8 Training for Convolutional Neural Network Feng Zhu Ruihao Gong F. Yu Xianglong Liu Yanfei Wang Zhelong Li Xiuqi Yang Junjie Yan MQ 62 151 0 29 Dec 2019
Making an Invisibility Cloak: Real World Adversarial Attacks on Object Detectors Zuxuan Wu Ser-Nam Lim L. Davis Tom Goldstein AAML 103 264 0 31 Oct 2019
Domain Generalization via Model-Agnostic Learning of Semantic Features Qi Dou Daniel Coelho De Castro Konstantinos Kamnitsas Ben Glocker OOD 97 688 0 29 Oct 2019
Thieves on Sesame Street! Model Extraction of BERT-based APIs Kalpesh Krishna Gaurav Singh Tomar Ankur P. Parikh Nicolas Papernot Mohit Iyyer MIACV MLAU 74 198 0 27 Oct 2019
Towards neural networks that provably know when they don't know Alexander Meinke Matthias Hein OODD 54 140 0 26 Sep 2019
Bayesian Optimization for Iterative Learning Vu-Linh Nguyen Sebastian Schulze Michael A. Osborne BDL 57 32 0 20 Sep 2019
Deep High-Resolution Representation Learning for Visual Recognition Jingdong Wang Ke Sun Tianheng Cheng Borui Jiang Chaorui Deng ... Yadong Mu Mingkui Tan Xinggang Wang Wenyu Liu Bin Xiao 316 3,572 0 20 Aug 2019
Hyp-RL : Hyperparameter Optimization by Reinforcement Learning H. Jomaa Josif Grabocka Lars Schmidt-Thieme 42 65 0 27 Jun 2019
Machine Learning Testing: Survey, Landscapes and Horizons Jie M. Zhang Mark Harman Lei Ma Yang Liu VLM AILaw 69 744 0 19 Jun 2019
Can You Trust Your Model's Uncertainty? Evaluating Predictive Uncertainty Under Dataset Shift Yaniv Ovadia Emily Fertig Jie Jessie Ren Zachary Nado D. Sculley Sebastian Nowozin Joshua V. Dillon Balaji Lakshminarayanan Jasper Snoek UQCV 141 1,677 0 06 Jun 2019
Are Disentangled Representations Helpful for Abstract Visual Reasoning? Sjoerd van Steenkiste Francesco Locatello Jürgen Schmidhuber Olivier Bachem 63 208 0 29 May 2019
Population Based Augmentation: Efficient Learning of Augmentation Policy Schedules Daniel Ho Eric Liang Ion Stoica Pieter Abbeel Xi Chen 59 402 0 14 May 2019
Fooling automated surveillance cameras: adversarial patches to attack person detection Simen Thys W. V. Ranst Toon Goedemé AAML 100 567 0 18 Apr 2019
Defensive Quantization: When Efficiency Meets Robustness Ji Lin Chuang Gan Song Han MQ 66 202 0 17 Apr 2019
Generalizing from a Few Examples: A Survey on Few-Shot Learning Yaqing Wang Quanming Yao James T. Kwok L. Ni 74 1,802 0 10 Apr 2019
Single-Path NAS: Designing Hardware-Efficient ConvNets in less than 4 Hours Dimitrios Stamoulis Ruizhou Ding Di Wang Dimitrios Lymberopoulos B. Priyantha Jie Liu Diana Marculescu 41 285 0 05 Apr 2019
Algorithms for Verifying Deep Neural Networks Changliu Liu Tomer Arnon Christopher Lazarus Christopher A. Strong Clark W. Barrett Mykel J. Kochenderfer AAML 81 395 0 15 Mar 2019
Complement Objective Training Hao-Yun Chen Pei-Hsin Wang Chun-Hao Liu Shih-Chieh Chang Jia Pan Yutian Chen Wei Wei Da-Cheng Juan AAML 37 48 0 04 Mar 2019
Unmasking Clever Hans Predictors and Assessing What Machines Really Learn Sebastian Lapuschkin S. Wäldchen Alexander Binder G. Montavon Wojciech Samek K. Müller 74 1,005 0 26 Feb 2019
Towards Corner Case Detection for Autonomous Driving Jan-Aike Termöhlen Andreas Bär Daniel Lipinski Tim Fingscheidt AAML 39 95 0 25 Feb 2019
Model Compression with Adversarial Robustness: A Unified Optimization Framework Shupeng Gui Haotao Wang Chen Yu Haichuan Yang Zhangyang Wang Ji Liu MQ 42 137 0 10 Feb 2019
Improving Neural Network Quantization without Retraining using Outlier Channel Splitting Ritchie Zhao Yuwei Hu Jordan Dotzel Christopher De Sa Zhiru Zhang OODD MQ 75 307 0 28 Jan 2019
DeepBillboard: Systematic Physical-World Testing of Autonomous Driving Systems Husheng Zhou Wei Li Yuankun Zhu Yuqun Zhang Bei Yu Lingming Zhang Cong Liu AAML 53 176 0 27 Dec 2018
Deep Anomaly Detection with Outlier Exposure Dan Hendrycks Mantas Mazeika Thomas G. Dietterich OODD 131 1,468 0 11 Dec 2018
Feature Denoising for Improving Adversarial Robustness Cihang Xie Yuxin Wu Laurens van der Maaten Alan Yuille Kaiming He 90 907 0 09 Dec 2018
Effects of Loss Functions And Target Representations on Adversarial Robustness Sean Saito S. Roy AAML 36 7 0 01 Dec 2018
BOHB: Robust and Efficient Hyperparameter Optimization at Scale Stefan Falkner Aaron Klein Frank Hutter BDL 167 1,077 0 04 Jul 2018
DARTS: Differentiable Architecture Search Hanxiao Liu Karen Simonyan Yiming Yang 181 4,326 0 24 Jun 2018
DPatch: An Adversarial Patch Attack on Object Detectors Xin Liu Huanrui Yang Ziwei Liu Linghao Song Hai Helen Li Yiran Chen AAML ObjD 45 291 0 05 Jun 2018
Classification Uncertainty of Deep Neural Networks Based on Gradient Information Philipp Oberdiek Matthias Rottmann Hanno Gottschalk UQCV 54 64 0 22 May 2018
Efficient Multi-objective Neural Architecture Search via Lamarckian Evolution T. Elsken J. H. Metzen Frank Hutter 182 499 0 24 Apr 2018
Visual Analytics for Explainable Deep Learning Jaegul Choo Shixia Liu HAI XAI 50 236 0 07 Apr 2018
Feature Distillation: DNN-Oriented JPEG Compression Against Adversarial Examples Zihao Liu Qi Liu Tao Liu Nuo Xu Xue Lin Yanzhi Wang Wujie Wen AAML MQ 40 260 0 14 Mar 2018
Predictive Uncertainty Estimation via Prior Networks A. Malinin Mark Gales UD BDL EDL UQCV PER 171 907 0 28 Feb 2018
Neural Architecture Search with Bayesian Optimisation and Optimal Transport Kirthevasan Kandasamy Willie Neiswanger J. Schneider Barnabás Póczós Eric Xing 64 603 0 11 Feb 2018
Deep Visual Domain Adaptation: A Survey Mei Wang Weihong Deng OOD 50 2,002 0 10 Feb 2018
Efficient Neural Architecture Search via Parameter Sharing Hieu H. Pham M. Guan Barret Zoph Quoc V. Le J. Dean 86 2,761 0 09 Feb 2018
Causal Learning and Explanation of Deep Neural Networks via Autoencoded Activations M. Harradon Jeff Druce Brian E. Ruttenberg BDL CML 27 82 0 02 Feb 2018
Quantization and Training of Neural Networks for Efficient Integer-Arithmetic-Only Inference Benoit Jacob S. Kligys Bo Chen Menglong Zhu Matthew Tang Andrew G. Howard Hartwig Adam Dmitry Kalenichenko MQ 126 3,090 0 15 Dec 2017
Long-Term On-Board Prediction of People in Traffic Scenes under Uncertainty Apratim Bhattacharyya Mario Fritz Bernt Schiele 67 202 0 24 Nov 2017
Regularization for Deep Learning: A Taxonomy J. Kukačka Vladimir Golkov Daniel Cremers 72 335 0 29 Oct 2017
Dynamic Routing Between Capsules S. Sabour Nicholas Frosst Geoffrey E. Hinton 117 4,584 0 26 Oct 2017
Learning Efficient Convolutional Networks through Network Slimming Zhuang Liu Jianguo Li Zhiqiang Shen Gao Huang Shoumeng Yan Changshui Zhang 105 2,407 0 22 Aug 2017
Learning Transferable Architectures for Scalable Image Recognition Barret Zoph Vijay Vasudevan Jonathon Shlens Quoc V. Le 152 5,577 0 21 Jul 2017