Search Results for author: Deepak Ramachandran

Found 6 papers, 3 papers with code

Tackling Provably Hard Representative Selection via Graph Neural Networks

no code implementations20 May 2022 Seyed Mehran Kazemi, Anton Tsitsulin, Hossein Esfandiari, Mohammadhossein Bateni, Deepak Ramachandran, Bryan Perozzi, Vahab Mirrokni

Representative selection (RS) is the problem of finding a small subset of exemplars from an unlabeled dataset, and has numerous applications in summarization, active learning, data compression and many other domains.

Active Learning Data Compression +1

FETA: A Benchmark for Few-Sample Task Transfer in Open-Domain Dialogue

1 code implementation12 May 2022 Alon Albalak, Yi-Lin Tuan, Pegah Jandaghi, Connor Pryor, Luke Yoffe, Deepak Ramachandran, Lise Getoor, Jay Pujara, William Yang Wang

Task transfer, transferring knowledge contained in related tasks, holds the promise of reducing the quantity of labeled data required to fine-tune language models.

Dialogue Understanding Domain Adaptation +1

Discovering Personalized Semantics for Soft Attributes in Recommender Systems using Concept Activation Vectors

1 code implementation6 Feb 2022 Christina Göpfert, Yinlam Chow, Chih-Wei Hsu, Ivan Vendrov, Tyler Lu, Deepak Ramachandran, Craig Boutilier

Interactive recommender systems (RSs) allow users to express intent, preferences and contexts in a rich fashion, often using natural language.

Recommendation Systems

Which Linguist Invented the Lightbulb? Presupposition Verification for Question-Answering

no code implementations ACL 2021 Najoung Kim, Ellie Pavlick, Burcu Karagol Ayan, Deepak Ramachandran

Through a user preference study, we demonstrate that the oracle behavior of our proposed system that provides responses based on presupposition failure is preferred over the oracle behavior of existing QA systems.

Explanation Generation Natural Questions +1

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