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03/27/2023
Text-to-Image Diffusion Models are Zero-Shot Classifiers
The excellent generative capabilities of text-to-image diffusion models ...
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12/05/2022
Meta-Learning Fast Weight Language Models
Dynamic evaluation of language models (LMs) adapts model parameters at t...
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01/12/2022
nuReality: A VR environment for research of pedestrian and autonomous vehicle interactions
We present nuReality, a virtual reality 'VR' environment designed to tes...
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12/15/2020
Pre-Training Transformers as Energy-Based Cloze Models
We introduce Electric, an energy-based cloze model for representation le...
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03/23/2020
ELECTRA: Pre-training Text Encoders as Discriminators Rather Than Generators
Masked language modeling (MLM) pre-training methods such as BERT corrupt...
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07/10/2019
BAM! Born-Again Multi-Task Networks for Natural Language Understanding
It can be challenging to train multi-task neural networks that outperfor...
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06/11/2019
What Does BERT Look At? An Analysis of BERT's Attention
Large pre-trained neural networks such as BERT have had great recent suc...
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05/21/2019
Sample Efficient Text Summarization Using a Single Pre-Trained Transformer
Language model (LM) pre-training has resulted in impressive performance ...
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09/22/2018
Semi-Supervised Sequence Modeling with Cross-View Training
Unsupervised representation learning algorithms such as word2vec and ELM...
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06/09/2016
Inducing Domain-Specific Sentiment Lexicons from Unlabeled Corpora
A word's sentiment depends on the domain in which it is used. Computatio...
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06/04/2016
Improving Coreference Resolution by Learning Entity-Level Distributed Representations
A long-standing challenge in coreference resolution has been the incorpo...
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05/14/2016