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06 May 2024

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Results 1 to 20 of 45 for query "John P. Dickerson". (0.00 sec.)

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1.

Measuring Representational Robustness of Neural Networks Through Shared Invariances
Vedant Nanda; Till Speicher; Camila Kolling; John P. Dickerson; Krishna P. Gummadi; Adrian Weller;
23 Jun 2022

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2.

Exploring Alignment of Representations with Human Perception
Vedant Nanda; Ayan Majumdar; Camila Kolling; John P. Dickerson; Krishna P. Gummadi; Bradley C. Love; Adrian Weller;
29 Nov 2021

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3.

Tensions Between the Proxies of Human Values in AI
Teresa Datta; Daniel Nissani; Max Cembalest; Akash Khanna; Haley Massa; John P. Dickerson;
14 Dec 2022

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4.

Robustness Disparities in Face Detection
Samuel Dooley; George Z. Wei; Tom Goldstein; John P. Dickerson;
29 Nov 2022

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5.

Interpretable Deep Reinforcement Learning for Green Security Games with Real-Time Information
Vishnu Dutt Sharma; John P. Dickerson; Pratap Tokekar;
9 Nov 2022

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6.

On the Importance of Architectures and Hyperparameters for Fairness in Face Recognition
Rhea Sukthanker; Samuel Dooley; John P. Dickerson; Colin White; Frank Hutter; Micah Goldblum;
18 Oct 2022

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7.

Equalizing Credit Opportunity in Algorithms: Aligning Algorithmic Fairness Research with U.S. Fair Lending Regulation
I. Elizabeth Kumar; Keegan E. Hines; John P. Dickerson;
5 Oct 2022

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8.

Certified Neural Network Watermarks with Randomized Smoothing
Arpit Bansal; Ping-yeh Chiang; Michael Curry; Rajiv Jain; Curtis Wigington; Varun Manjunatha; John P Dickerson; Tom Goldstein;
16 Jul 2022

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9.

On the Generalizability and Predictability of Recommender Systems
Duncan McElfresh; Sujay Khandagale; Jonathan Valverde; John P. Dickerson; Colin White;
23 Jun 2022

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10.

Fair Labeled Clustering
Seyed A. Esmaeili; Sharmila Duppala; John P. Dickerson; Brian Brubach;
28 May 2022

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11.

Generalized Reductions: Making any Hierarchical Clustering Fair and Balanced with Low Cost
Marina Knittel; John P. Dickerson; MohammadTaghi Hajiaghayi;
27 May 2022

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12.

Cliff Diving: Exploring Reward Surfaces in Reinforcement Learning Environments
Ryan Sullivan; J. K. Terry; Benjamin Black; John P. Dickerson;
14 May 2022

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13.

The Dichotomous Affiliate Stable Matching Problem: Approval-Based Matching with Applicant-Employer Relations
Marina Knittel; Samuel Dooley; John P. Dickerson;
22 Feb 2022

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14.

Are Commercial Face Detection Models as Biased as Academic Models?
Samuel Dooley; George Z. Wei; Tom Goldstein; John P. Dickerson;
25 Jan 2022

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15.

Rawlsian Fairness in Online Bipartite Matching: Two-sided, Group, and Individual
Seyed A. Esmaeili; Sharmila Duppala; Vedant Nanda; Aravind Srinivasan; John P. Dickerson;
16 Jan 2022

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16.

User-Driven Programming Support for Rapid Visualization Authoring in D3
Hannah K. Bako; Alisha Varma; Anuoluwapo Faboro; Mahreen Haider; Favour Nerrise; John P. Dickerson; Leilani Battle;
6 Dec 2021

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17.

VQ-GNN: A Universal Framework to Scale up Graph Neural Networks using Vector Quantization
Mucong Ding; Kezhi Kong; Jingling Li; Chen Zhu; John P Dickerson; Furong Huang; Tom Goldstein;
27 Oct 2021

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18.

Comparing Human and Machine Bias in Face Recognition
Samuel Dooley; Ryan Downing; George Wei; Nathan Shankar; Bradon Thymes; Gudrun Thorkelsdottir; Tiye Kurtz-Miott; Rachel Mattson; Olufemi Obiwumi; Valeriia Cherepanova; Micah Goldblum; John P Dickerson; Tom Goldstein;
16 Oct 2021

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19.

Pitfalls of Explainable ML: An Industry Perspective
Sahil Verma; Aditya Lahiri; John P. Dickerson; Su-In Lee;
14 Jun 2021

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20.

Fair Clustering Under a Bounded Cost
Seyed A. Esmaeili; Brian Brubach; Aravind Srinivasan; John P. Dickerson;
14 Jun 2021

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