2.7k citations · 6.8k across the 64 of their papers we have counts for
7 papers · 1 filter
Mutual Information Constraints for Monte-Carlo Objectives
Gábor Melis, András György, Phil Blunsom
A common failure mode of density models trained as variational autoencoders is to model the data without relying on their latent variables, rendering these variables useless. Two c…
The Struggles of Feature-Based Explanations: Shapley Values vs. Minimal Sufficient Subsets
Oana-Maria Camburu, Eleonora Giunchiglia, Jakob Foerster +2
For neural models to garner widespread public trust and ensure fairness, we must have human-intelligible explanations for their predictions. Recently, an increasing number of works…
Syntactic Structure Distillation Pretraining For Bidirectional Encoders
Adhiguna Kuncoro, Lingpeng Kong, Daniel Fried +4
Textual representation learners trained on large amounts of data have achieved notable success on downstream tasks; intriguingly, they have also performed well on challenging tests…
Learning to Segment Actions from Observation and Narration
Daniel Fried, Jean-Baptiste Alayrac, Phil Blunsom +3
We apply a generative segmental model of task structure, guided by narration, to action segmentation in video. We focus on unsupervised and weakly-supervised settings where no acti…
A Survey on Contextual Embeddings
Qi Liu, Matt J. Kusner, Phil Blunsom
Contextual embeddings, such as ELMo and BERT, move beyond global word representations like Word2Vec and achieve ground-breaking performance on a wide range of natural language proc…
Visual Grounding in Video for Unsupervised Word Translation
Gunnar A. Sigurdsson, Jean-Baptiste Alayrac, Aida Nematzadeh +5
There are thousands of actively spoken languages on Earth, but a single visual world. Grounding in this visual world has the potential to bridge the gap between all these languages…
Learning Robust and Multilingual Speech Representations
Kazuya Kawakami, Luyu Wang, Chris Dyer +2
Unsupervised speech representation learning has shown remarkable success at finding representations that correlate with phonetic structures and improve downstream speech recognitio…