Search Results for author: Ben Abramowitz

Found 7 papers, 0 papers with code

Learning Domain-Invariant Temporal Dynamics for Few-Shot Action Recognition

no code implementations20 Feb 2024 Yuke Li, Guangyi Chen, Ben Abramowitz, Stefano Anzellott, Donglai Wei

Moreover, we validate that the learned temporal dynamic transition and temporal dynamic generation modules possess transferable qualities.

Few-Shot action recognition Few Shot Action Recognition +1

Pandering in a Flexible Representative Democracy

no code implementations18 Nov 2022 Xiaolin Sun, Jacob Masur, Ben Abramowitz, Nicholas Mattei, Zizhan Zheng

We introduce a novel formal model of \emph{pandering}, or strategic preference reporting by candidates seeking to be elected, and examine the resilience of two democratic voting systems to pandering within a single round and across multiple rounds.

Social Mechanism Design: Making Maximally Acceptable Decisions

no code implementations15 Nov 2022 Ben Abramowitz, Nicholas Mattei

Agents care not only about the outcomes of collective decisions but also about how decisions are made.

Who Reviews The Reviewers? A Multi-Level Jury Problem

no code implementations15 Nov 2022 Ben Abramowitz, Omer Lev, Nicholas Mattei

We consider the problem of determining a binary ground truth using advice from a group of independent reviewers (experts) who express their guess about a ground truth correctly with some independent probability (competence).

Towards Group Learning: Distributed Weighting of Experts

no code implementations3 Jun 2022 Ben Abramowitz, Nicholas Mattei

While a full answer depends on the type of signal, correlation of signals, and desired output, a problem common to all of these applications is that of differentiating sources based on their quality and weighting them accordingly.

Ensemble Learning Federated Learning

In the Beginning there were n Agents: Founding and Amending a Constitution

no code implementations5 Nov 2020 Ben Abramowitz, Ehud Shapiro, Nimrod Talmon

Consider n agents forming an egalitarian, self-governed community.

Multiagent Systems

Awareness of Voter Passion Greatly Improves the Distortion of Metric Social Choice

no code implementations25 Jun 2019 Ben Abramowitz, Elliot Anshelevich, Wennan Zhu

Previous work has often assumed that only ordinal preferences of the voters are known (instead of their true costs), and focused on minimizing distortion: the quality of the chosen candidate as compared with the best possible candidate.

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