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12/28/2021
A Moment in the Sun: Solar Nowcasting from Multispectral Satellite Data using Self-Supervised Learning
Solar energy is now the cheapest form of electricity in history. Unfortu...
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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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09/27/2020
Unsupervised Pre-training for Biomedical Question Answering
We explore the suitability of unsupervised representation learning metho...
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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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12/02/2019
Simultaneously Linking Entities and Extracting Relations from Biomedical Text Without Mention-level Supervision
Understanding the meaning of text often involves reasoning about entitie...
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11/10/2019
Learning to Few-Shot Learn Across Diverse Natural Language Classification Tasks
Self-supervised pre-training of transformer models has shown enormous su...
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10/10/2017
Emergent Complexity via Multi-Agent Competition
Reinforcement learning algorithms can train agents that solve problems i...
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10/10/2017
Continuous Adaptation via Meta-Learning in Nonstationary and Competitive Environments
Ability to continuously learn and adapt from limited experience in nonst...
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08/02/2017
Low-Rank Hidden State Embeddings for Viterbi Sequence Labeling
In textual information extraction and other sequence labeling tasks it i...
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06/22/2017
RelNet: End-to-End Modeling of Entities & Relations
We introduce RelNet: a new model for relational reasoning. RelNet is a m...
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09/07/2016
Ask the GRU: Multi-Task Learning for Deep Text Recommendations
In a variety of application domains the content to be recommended to use...
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10/26/2014