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07/13/2022
N-Grammer: Augmenting Transformers with latent n-grams
Transformer models have recently emerged as one of the foundational mode...
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03/10/2021
Hurdles to Progress in Long-form Question Answering
The task of long-form question answering (LFQA) involves retrieving docu...
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03/12/2020
Efficient Content-Based Sparse Attention with Routing Transformers
Self-attention has recently been adopted for a wide range of sequence mo...
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05/29/2019
Unsupervised Paraphrasing without Translation
Paraphrasing exemplifies the ability to abstract semantic content from s...
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07/19/2018
Understanding and Improving Interpolation in Autoencoders via an Adversarial Regularizer
Autoencoders provide a powerful framework for learning compressed repres...
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05/28/2018
Theory and Experiments on Vector Quantized Autoencoders
Deep neural networks with discrete latent variables offer the promise of...
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03/09/2018
Fast Decoding in Sequence Models using Discrete Latent Variables
Autoregressive sequence models based on deep neural networks, such as RN...
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12/27/2017
Adversarial Patch
We present a method to create universal, robust, targeted adversarial im...
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06/15/2017