Concrete Problems in AI Safety

21 June 2016

Papers citing "Concrete Problems in AI Safety"

50 / 482 papers shown

Title
Safe Model-based Control from Signal Temporal Logic Specifications Using Recurrent Neural Networks Wenliang Liu Mirai Nishioka C. Belta 35 5 0 29 Mar 2021
Maximum Entropy RL (Provably) Solves Some Robust RL Problems Benjamin Eysenbach Sergey Levine OOD 50 176 0 10 Mar 2021
Maximum Likelihood Constraint Inference from Stochastic Demonstrations D. L. McPherson Kaylene C. Stocking S. Shankar Sastry 13 22 0 24 Feb 2021
Few-shot Conformal Prediction with Auxiliary Tasks Adam Fisch Tal Schuster Tommi Jaakkola Regina Barzilay 189 54 0 17 Feb 2021
Sliced Multi-Marginal Optimal Transport Samuel N. Cohen Alexander Terenin Yannik Pitcan Brandon Amos M. Deisenroth K. S. S. Kumar OT 23 9 0 14 Feb 2021
One-Class Classification: A Survey Pramuditha Perera Poojan Oza Vishal M. Patel 54 112 0 08 Jan 2021
Multi-Principal Assistance Games: Definition and Collegial Mechanisms Arnaud Fickinger Simon Zhuang Andrew Critch Dylan Hadfield-Menell Stuart J. Russell 19 4 0 29 Dec 2020
Classification with Strategically Withheld Data A. Krishnaswamy Haoming Li David B Rein Hanrui Zhang Vincent Conitzer 13 15 0 18 Dec 2020
Open Problems in Cooperative AI Allan Dafoe Edward Hughes Yoram Bachrach Tantum Collins Kevin R. McKee Joel Z Leibo Kate Larson T. Graepel 42 200 0 15 Dec 2020
Bayes DistNet -- A Robust Neural Network for Algorithm Runtime Distribution Predictions Jake E. Tuero M. Buro OOD 18 0 0 14 Dec 2020
Confidence Estimation via Auxiliary Models Charles Corbière Nicolas Thome A. Saporta Tuan-Hung Vu Matthieu Cord P. Pérez TPM 29 47 0 11 Dec 2020
Understanding Learned Reward Functions Eric J. Michaud Adam Gleave Stuart J. Russell XAI OffRL 30 33 0 10 Dec 2020
The Hidden Uncertainty in a Neural Networks Activations Janis Postels Hermann Blum Yannick Strümpler Cesar Cadena Roland Siegwart Luc Van Gool Federico Tombari UQCV 36 22 0 05 Dec 2020
AI Governance for Businesses Johannes Schneider Rene Abraham Christian Meske Jan vom Brocke AI4TS 26 67 0 20 Nov 2020
Bridging Physics-based and Data-driven modeling for Learning Dynamical Systems Rui Wang Danielle C. Maddix Christos Faloutsos Bernie Wang Rose Yu OOD AI4CE 27 51 0 20 Nov 2020
Inverse Constrained Reinforcement Learning Usman Anwar Shehryar Malik Alireza Aghasi Ali Ahmed 18 58 0 19 Nov 2020
Avoiding Tampering Incentives in Deep RL via Decoupled Approval J. Uesato Ramana Kumar Victoria Krakovna Tom Everitt Richard Ngo Shane Legg 26 14 0 17 Nov 2020
REALab: An Embedded Perspective on Tampering Ramana Kumar J. Uesato Richard Ngo Tom Everitt Victoria Krakovna Shane Legg 30 10 0 17 Nov 2020
Learning Dense Rewards for Contact-Rich Manipulation Tasks Zheng Wu Wenzhao Lian Vaibhav Unhelkar Masayoshi Tomizuka S. Schaal 8 37 0 17 Nov 2020
Model-based Reinforcement Learning from Signal Temporal Logic Specifications Parv Kapoor Anand Balakrishnan Jyotirmoy V. Deshmukh 23 22 0 10 Nov 2020
Playing optical tweezers with deep reinforcement learning: in virtual, physical and augmented environments M. Praeger Yunhui Xie J. Grant-Jacob R. Eason B. Mills 22 11 0 05 Nov 2020
Multiscale Score Matching for Out-of-Distribution Detection Ahsan Mahmood Junier Oliva M. Styner OODD 27 30 0 25 Oct 2020
PEP: Parameter Ensembling by Perturbation Alireza Mehrtash Purang Abolmaesumi Polina Golland Tina Kapur Demian Wassermann W. Wells 25 10 0 24 Oct 2020
Learning Loss for Test-Time Augmentation Ildoo Kim Younghoon Kim Sungwoong Kim OOD 26 91 0 22 Oct 2020
Deep Learning for Distinguishing Normal versus Abnormal Chest Radiographs and Generalization to Unseen Diseases Zaid Nabulsi Andrew Sellergren Shahar Jamshy Charles Lau E. Santos ... Daniel Tse Neeral Beladia Yun-Hui Liu Po-Hsuan Cameron Chen S. Shetty 30 37 0 22 Oct 2020
Failure Prediction by Confidence Estimation of Uncertainty-Aware Dirichlet Networks Theodoros Tsiligkaridis UQCV 22 7 0 19 Oct 2020
A Survey of Machine Learning Techniques in Adversarial Image Forensics Ehsan Nowroozi Ali Dehghantanha R. Parizi K. Choo AAML 25 72 0 19 Oct 2020
Scenic: A Language for Scenario Specification and Data Generation Daniel J. Fremont Edward J. Kim T. Dreossi Shromona Ghosh Xiangyu Yue Alberto L. Sangiovanni-Vincentelli S. Seshia 29 98 0 13 Oct 2020
Variable impedance control and learning -- A review Fares J. Abu-Dakka Matteo Saveriano AI4CE 39 148 0 13 Oct 2020
Reward Machines: Exploiting Reward Function Structure in Reinforcement Learning Rodrigo Toro Icarte Toryn Q. Klassen Richard Valenzano Sheila A. McIlraith OffRL 44 216 0 06 Oct 2020
Generative Model-Enhanced Human Motion Prediction Anthony Bourached Ryan-Rhys Griffiths Robert J. Gray A. Jha P. Nachev 34 15 0 05 Oct 2020
Why have a Unified Predictive Uncertainty? Disentangling it using Deep Split Ensembles U. Sarawgi W. Zulfikar Rishab Khincha Pattie Maes PER UQCV BDL UD 21 7 0 25 Sep 2020
Deep Learning & Software Engineering: State of Research and Future Directions P. Devanbu Matthew B. Dwyer Sebastian G. Elbaum M. Lowry Kevin Moran Denys Poshyvanyk Baishakhi Ray Rishabh Singh Xiangyu Zhang 11 22 0 17 Sep 2020
Avoiding Negative Side Effects due to Incomplete Knowledge of AI Systems Sandhya Saisubramanian S. Zilberstein Ece Kamar 20 21 0 24 Aug 2020
SafePILCO: a software tool for safe and data-efficient policy synthesis Kyriakos Polymenakos Nikitas Rontsis Alessandro Abate Stephen J. Roberts 20 6 0 07 Aug 2020
Weak Human Preference Supervision For Deep Reinforcement Learning Zehong Cao Kaichiu Wong Chin-Teng Lin 16 5 0 25 Jul 2020
CSI: Novelty Detection via Contrastive Learning on Distributionally Shifted Instances Jihoon Tack Sangwoo Mo Jongheon Jeong Jinwoo Shin OODD 11 588 0 16 Jul 2020
Good AI for the Present of Humanity Democratizing AI Governance N. Corrêa Nythamar Fernandes de Oliveira 32 5 0 08 Jul 2020
Decolonial AI: Decolonial Theory as Sociotechnical Foresight in Artificial Intelligence Shakir Mohamed Marie-Therese Png William S. Isaac 33 395 0 08 Jul 2020
Estimating Generalization under Distribution Shifts via Domain-Invariant Representations Ching-Yao Chuang Antonio Torralba Stefanie Jegelka OOD 6 60 0 06 Jul 2020
MDP Homomorphic Networks: Group Symmetries in Reinforcement Learning Elise van der Pol Daniel E. Worrall H. V. Hoof F. Oliehoek Max Welling BDL AI4CE 31 156 0 30 Jun 2020
Discriminative Jackknife: Quantifying Uncertainty in Deep Learning via Higher-Order Influence Functions Ahmed Alaa M. Schaar UD UQCV BDL TDI 24 53 0 29 Jun 2020
AI Feynman 2.0: Pareto-optimal symbolic regression exploiting graph modularity S. Udrescu A. Tan Jiahai Feng Orisvaldo Neto Tailin Wu Max Tegmark 25 185 0 18 Jun 2020
Task-agnostic Out-of-Distribution Detection Using Kernel Density Estimation Ertunc Erdil K. Chaitanya Neerav Karani E. Konukoglu OODD 27 7 0 18 Jun 2020
Preference-based Reinforcement Learning with Finite-Time Guarantees Yichong Xu Ruosong Wang Lin F. Yang Aarti Singh A. Dubrawski 33 53 0 16 Jun 2020
Depth Uncertainty in Neural Networks Javier Antorán J. Allingham José Miguel Hernández-Lobato UQCV OOD BDL 43 100 0 15 Jun 2020
Detecting unusual input to neural networks Jörg Martin Clemens Elster AAML 17 7 0 15 Jun 2020
MixMOOD: A systematic approach to class distribution mismatch in semi-supervised learning using deep dataset dissimilarity measures Saul Calderon-Ramirez Luis Oala J. Torrents-Barrena Shengxiang-Yang Armaghan Moemeni Wojciech Samek Miguel A. Molina-Cabello 33 10 0 14 Jun 2020
Hindsight Logging for Model Training Rolando Garcia Eric Liu Vikram Sreekanti Bobby Yan Anusha Dandamudi Joseph E. Gonzalez J. M. Hellerstein Koushik Sen VLM 27 10 0 12 Jun 2020
Reinforcement Learning Under Moral Uncertainty Adrien Ecoffet Joel Lehman 17 32 0 08 Jun 2020