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Parameter-Efficient Transfer Learning with Diff Pruning
While task-specific finetuning of pretrained networks has led to signifi...
12/14/2020 ∙ by Demi Guo, et al. ∙
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Sequence-Level Mixed Sample Data Augmentation
Despite their empirical success, neural networks still have difficulty c...
11/18/2020 ∙ by Demi Guo, et al. ∙
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PointContrast: Unsupervised Pre-training for 3D Point Cloud Understanding
Arguably one of the top success stories of deep learning is transfer lea...
07/21/2020 ∙ by Saining Xie, et al. ∙
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MicroNet for Efficient Language Modeling
It is important to design compact language models for efficient deployme...
05/16/2020 ∙ by Zhongxia Yan, et al. ∙
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Analyzing machine-learned representations: A natural language case study
As modern deep networks become more complex, and get closer to human-lik...
09/12/2019 ∙ by Ishita Dasgupta, et al. ∙
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Why Build an Assistant in Minecraft?
In this document we describe a rationale for a research program aimed at...
07/22/2019 ∙ by Arthur Szlam, et al. ∙
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CraftAssist: A Framework for Dialogue-enabled Interactive Agents
This paper describes an implementation of a bot assistant in Minecraft, ...
07/19/2019 ∙ by Jonathan Gray, et al. ∙
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The Internals of the Data Calculator
Data structures are critical in any data-driven scenario, but they are n...
08/06/2018 ∙ by Stratos Idreos, et al. ∙
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Latent Alignment and Variational Attention
Neural attention has become central to many state-of-the-art models in n...
07/10/2018 ∙ by Yuntian Deng, et al. ∙
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Evaluating Compositionality in Sentence Embeddings
An important frontier in the quest for human-like AI is compositional se...
02/12/2018 ∙ by Ishita Dasgupta, et al. ∙
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