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11/02/2021
Diverse Distributions of Self-Supervised Tasks for Meta-Learning in NLP
Meta-learning considers the problem of learning an efficient learning pr...
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10/05/2021
Fast Contextual Adaptation with Neural Associative Memory for On-Device Personalized Speech Recognition
Fast contextual adaptation has shown to be effective in improving Automa...
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11/16/2020
Learning Associative Inference Using Fast Weight Memory
Humans can quickly associate stimuli to solve problems in novel contexts...
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09/17/2020
Self-Supervised Meta-Learning for Few-Shot Natural Language Classification Tasks
Self-supervised pre-training of transformer models has revolutionized NL...
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09/03/2020
Sparse Meta Networks for Sequential Adaptation and its Application to Adaptive Language Modelling
Training a deep neural network requires a large amount of single-task da...
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05/07/2020
A Locally Adaptive Interpretable Regression
Machine learning models with both good predictability and high interpret...
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05/02/2020
Exploring and Predicting Transferability across NLP Tasks
Recent advances in NLP demonstrate the effectiveness of training large-s...
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07/23/2019
Metalearned Neural Memory
We augment recurrent neural networks with an external memory mechanism t...
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10/12/2018
Building Dynamic Knowledge Graphs from Text using Machine Reading Comprehension
We propose a neural machine-reading model that constructs dynamic knowle...
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07/12/2018
Metalearning with Hebbian Fast Weights
We unify recent neural approaches to one-shot learning with older ideas ...
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04/20/2018
Sentence Simplification with Memory-Augmented Neural Networks
Sentence simplification aims to simplify the content and structure of co...
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12/28/2017
Rapid Adaptation with Conditionally Shifted Neurons
We describe a mechanism by which artificial neural networks can learn ra...
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12/28/2017
Learning Rapid-Temporal Adaptations
A hallmark of human intelligence and cognition is its flexibility. One o...
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03/02/2017
Meta Networks
Neural networks have been successfully applied in applications with a la...
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02/15/2017
An Analysis of Ability in Deep Neural Networks
Deep neural networks (DNNs) have made significant progress in a number o...
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10/20/2016
Reasoning with Memory Augmented Neural Networks for Language Comprehension
Hypothesis testing is an important cognitive process that supports human...
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07/15/2016
Neural Tree Indexers for Text Understanding
Recurrent neural networks (RNNs) process input text sequentially and mod...
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07/14/2016
