Tao Lei

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MIT ∙ ASAPP INC

Medical Image Segmentation Using Deep Learning: A Survey

Deep learning has been widely used for medical image segmentation and a ...
09/28/2020 ∙ by Tao Lei, et al. ∙ 0 ∙ share

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Autoregressive Knowledge Distillation through Imitation Learning

The performance of autoregressive models on natural language generation ...
09/15/2020 ∙ by Alexander Lin, et al. ∙ 0 ∙ share

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Rationalizing Text Matching: Learning Sparse Alignments via Optimal Transport

Selecting input features of top relevance has become a popular method fo...
05/27/2020 ∙ by Kyle Swanson, et al. ∙ 7 ∙ share

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ASAPP-ASR: Multistream CNN and Self-Attentive SRU for SOTA Speech Recognition

In this paper we present state-of-the-art (SOTA) performance on the Libr...
05/21/2020 ∙ by Jing Pan, et al. ∙ 0 ∙ share

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Interactive Classification by Asking Informative Questions

Natural language systems often rely on a single, potentially ambiguous i...
11/09/2019 ∙ by Lili Yu, et al. ∙ 0 ∙ share

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Metric Learning for Dynamic Text Classification

Traditional text classifiers are limited to predicting over a fixed set ...
11/04/2019 ∙ by Jeremy Wohlwend, et al. ∙ 0 ∙ share

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Structured Pruning of Large Language Models

Large language models have recently achieved state of the art performanc...
10/10/2019 ∙ by Ziheng Wang, et al. ∙ 0 ∙ share

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Building a Production Model for Retrieval-Based Chatbots

Response suggestion is an important task for building human-computer con...
06/07/2019 ∙ by Kyle Swanson, et al. ∙ 0 ∙ share

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Adaptive Morphological Reconstruction for Seeded Image Segmentation

Morphological reconstruction (MR) is often employed by seeded image segm...
04/08/2019 ∙ by Tao Lei, et al. ∙ 0 ∙ share

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Service Capacity Enhanced Task Offloading and Resource Allocation in Multi-Server Edge Computing Environment

An edge computing environment features multiple edge servers and multipl...
03/12/2019 ∙ by Wei Du, et al. ∙ 0 ∙ share

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Adversarial Domain Adaptation for Duplicate Question Detection

We address the problem of detecting duplicate questions in forums, which...
09/07/2018 ∙ by Darsh J Shah, et al. ∙ 0 ∙ share

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Training RNNs as Fast as CNNs

Common recurrent neural network architectures scale poorly due to the in...
09/08/2017 ∙ by Tao Lei, et al. ∙ 0 ∙ share

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Style Transfer from Non-Parallel Text by Cross-Alignment

This paper focuses on style transfer on the basis of non-parallel text. ...
05/26/2017 ∙ by Tianxiao Shen, et al. ∙ 0 ∙ share

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Deriving Neural Architectures from Sequence and Graph Kernels

The design of neural architectures for structured objects is typically g...
05/25/2017 ∙ by Tao Lei, et al. ∙ 0 ∙ share

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Rationalizing Neural Predictions

Prediction without justification has limited applicability. As a remedy,...
06/13/2016 ∙ by Tao Lei, et al. ∙ 0 ∙ share

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Semi-supervised Question Retrieval with Gated Convolutions

Question answering forums are rapidly growing in size with no effective ...
12/17/2015 ∙ by Tao Lei, et al. ∙ 0 ∙ share

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Molding CNNs for text: non-linear, non-consecutive convolutions

The success of deep learning often derives from well-chosen operational ...
08/17/2015 ∙ by Tao Lei, et al. ∙ 0 ∙ share

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Tao Lei

Featured Co-authors

Wei Wang

Wei Liu

Yu Zhang

Preslav Nakov

Regina Barzilay

Tongliang Liu

Tommi Jaakkola

Lluis Marquez

Yoav Artzi

Alessandro Moschitti

Wengong Jin

Medical Image Segmentation Using Deep Learning: A Survey

Autoregressive Knowledge Distillation through Imitation Learning

Rationalizing Text Matching: Learning Sparse Alignments via Optimal Transport

ASAPP-ASR: Multistream CNN and Self-Attentive SRU for SOTA Speech Recognition

Interactive Classification by Asking Informative Questions

Metric Learning for Dynamic Text Classification

Structured Pruning of Large Language Models

Building a Production Model for Retrieval-Based Chatbots

Adaptive Morphological Reconstruction for Seeded Image Segmentation

Service Capacity Enhanced Task Offloading and Resource Allocation in Multi-Server Edge Computing Environment

Adversarial Domain Adaptation for Duplicate Question Detection

Training RNNs as Fast as CNNs

Style Transfer from Non-Parallel Text by Cross-Alignment

Deriving Neural Architectures from Sequence and Graph Kernels

Rationalizing Neural Predictions

Semi-supervised Question Retrieval with Gated Convolutions

Molding CNNs for text: non-linear, non-consecutive convolutions