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20162021
most citedRetrieval-Augmented Generation for Knowledge-Intensive NLP Tasks

3.1k citations · 5k across the 42 of their papers we have counts for

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5 papers · 1 filter

cs.LG2021★ 4 cited

Rissanen Data Analysis: Examining Dataset Characteristics via Description Length

Ethan Perez, Douwe Kiela, Kyunghyun Cho

We introduce a method to determine if a certain capability helps to achieve an accurate model of given data. We view labels as being generated from the inputs by a program composed…

cs.LG2020★ 19 cited

Learning Optimal Representations with the Decodable Information Bottleneck

Yann Dubois, Douwe Kiela, David J. Schwab +1

We address the question of characterizing and finding optimal representations for supervised learning. Traditionally, this question has been tackled using the Information Bottlenec…

cs.LG2019★ 78 cited

Hyperbolic Graph Neural Networks

Qi Liu, Maximilian Nickel, Douwe Kiela

Learning from graph-structured data is an important task in machine learning and artificial intelligence, for which Graph Neural Networks (GNNs) have shown great promise. Motivated…

cs.LG2019★ 88 cited

Generalized Inner Loop Meta-Learning

Edward Grefenstette, Brandon Amos, Denis Yarats +6

Many (but not all) approaches self-qualifying as "meta-learning" in deep learning and reinforcement learning fit a common pattern of approximating the solution to a nested optimiza…

cs.LG2017★ 27 cited

Emergent Communication in a Multi-Modal, Multi-Step Referential Game

Katrina Evtimova, Andrew Drozdov, Douwe Kiela +1

Inspired by previous work on emergent communication in referential games, we propose a novel multi-modal, multi-step referential game, where the sender and receiver have access to…