John P. Dickerson

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Tuomas SandholmAngel Jordan University Professor of Computer Science, Carnegie Mellon UniversityPatvirtintas el. paštas cs.cmu.edu
Tom GoldsteinVolpi-Cupal Professor of Computer Science, University of MarylandPatvirtintas el. paštas cs.umd.edu
Aravind SrinivasanProfessor of Computer Science and Distinguished University Professor, University of MarylandPatvirtintas el. paštas umd.edu
V.S. SubrahmanianDepartment of Computer Science & ISTS, Dartmouth CollegePatvirtintas el. paštas dartmouth.edu
Samuel DooleyMetaPatvirtintas el. paštas meta.com
Duncan C McElfreshStanford University, US Department of Veterans AffairsPatvirtintas el. paštas stanford.edu
Ariel ProcacciaGordon McKay Professor of Computer Science, Harvard UniversityPatvirtintas el. paštas seas.harvard.edu
Sahil VermaIIT Kanpur → University of Washington, SeattlePatvirtintas el. paštas cs.washington.edu
Micah GoldblumColumbia UniversityPatvirtintas el. paštas columbia.edu
Karthik Abinav SankararamanMeta/Facebook, University of Maryland, College ParkPatvirtintas el. paštas fb.com
Pan XuDepartment of Computer Science, New Jersey Institute of TechnologyPatvirtintas el. paštas njit.edu
Ali ShafahiApplePatvirtintas el. paštas umd.edu
Mahyar NajibiResearch Scientist, ApplePatvirtintas el. paštas google.com
Vedant NandaAleph AlphaPatvirtintas el. paštas cs.umd.edu
Candice SchumannGooglePatvirtintas el. paštas umd.edu
Seyed A EsmaeiliPostdoc, University of ChicagoPatvirtintas el. paštas uchicago.edu
Zheng XuGoogle ResearchPatvirtintas el. paštas google.com
Larry DavisProfessor of Computer Science, University of MarylandPatvirtintas el. paštas cs.umd.edu
Gavin TaylorUS Naval AcademyPatvirtintas el. paštas usna.edu
Amin GhiasiApple Patvirtintas el. paštas umd.edu

Stebėti

John P. Dickerson

Associate Professor of Computer Science, University of Maryland & Chief Scientist, Arthur AI

Patvirtintas el. paštas cs.umd.edu - Pagrindinis puslapis

Artificial Intelligence Machine Learning Game Theory Mechanism Design Optimization


Pavadinimas Rūšiuoti pagal šaltinius Rūšiuoti pagal metus Rūšiuoti pagal pavadinimą	Cituota Cituota	Metai
Adversarial training for free! A Shafahi, M Najibi, MA Ghiasi, Z Xu, J Dickerson, C Studer, LS Davis, ... NeurIPS, 2019	1603	2019
Counterfactual explanations and algorithmic recourses for machine learning: A review S Verma, V Boonsanong, M Hoang, K Hines, J Dickerson, C Shah ACM Computing Surveys, 2024	755*	2024
Using sentiment to detect bots on twitter: Are humans more opinionated than bots? JP Dickerson, V Kagan, VS Subrahmanian ASONAM, 2014	395	2014
Universal Adversarial Training. A Shafahi, M Najibi, Z Xu, JP Dickerson, LS Davis, T Goldstein AAAI, 2020	246	2020
Just how toxic is data poisoning? a unified benchmark for backdoor and data poisoning attacks A Schwarzschild, M Goldblum, A Gupta, JP Dickerson, T Goldstein ICML, 9389-9398, 2021	198	2021
Failure-aware kidney exchange JP Dickerson, AD Procaccia, T Sandholm Proceedings of the fourteenth ACM conference on Electronic commerce, 323-340, 2013	180	2013
Allocation problems in ride-sharing platforms: Online matching with offline reusable resources JP Dickerson, KA Sankararaman, A Srinivasan, P Xu ACM Transactions on Economics and Computation (TEAC) 9 (3), 1-17, 2021	166	2021
LowKey: leveraging adversarial attacks to protect social media users from facial recognition V Cherepanova, M Goldblum, H Foley, S Duan, J Dickerson, G Taylor, ... ICLR, 2021	153	2021
Deep k-NN Defense Against Clean-Label Data Poisoning Attacks N Peri, N Gupta, WR Huang, L Fowl, C Zhu, S Feizi, T Goldstein, ... Computer Vision–ECCV 2020 Workshops: Glasgow, UK, August 23–28, 2020 …, 2020	144	2020
Optimizing kidney exchange with transplant chains: Theory and reality JP Dickerson, AD Procaccia, T Sandholm AAMAS, 2012	135	2012
Adapting a kidney exchange algorithm to align with human values R Freedman, JS Borg, W Sinnott-Armstrong, JP Dickerson, V Conitzer Artificial Intelligence 283, 103261, 2020	133	2020
Position-indexed formulations for kidney exchange JP Dickerson, DF Manlove, B Plaut, T Sandholm, J Trimble EC, 2016	121	2016
Dynamic matching via weighted myopia with application to kidney exchange JP Dickerson, AD Procaccia, T Sandholm AAAI, 2012	119	2012
Fairness through robustness: Investigating robustness disparity in deep learning V Nanda, S Dooley, S Singla, S Feizi, JP Dickerson Proceedings of the 2021 ACM Conference on Fairness, Accountability, and …, 2021	109	2021
Price of fairness in kidney exchange JP Dickerson, AD Procaccia, T Sandholm AAMAS, 2014	101	2014
Assessing selective sustained attention in 3-to 5-year-old children: Evidence from a new paradigm A Fisher, E Thiessen, K Godwin, H Kloos, J Dickerson Journal of Experimental Child Psychology 114 (2), 275-294, 2013	92	2013
The computational rise and fall of fairness JP Dickerson, J Goldman, J Karp, AD Procaccia, T Sandholm AAAI, 2014	89	2014
We need fairness and explainability in algorithmic hiring C Schumann, J Foster, N Mattei, J Dickerson International Conference on Autonomous Agents and Multi-Agent Systems (AAMAS), 2020	87	2020
FutureMatch: Combining Human Value Judgments and Machine Learning to Match in Dynamic Environments. JP Dickerson, T Sandholm AAAI, 2015	85	2015
Balancing the tradeoff between profit and fairness in rideshare platforms during high-demand hours V Nanda, P Xu, KA Sankararaman, J Dickerson, A Srinivasan AAAI 34 (02), 2210-2217, 2020	84	2020

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