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Zhouhan Lin

Researcher at Université de Montréal

Publications -  56
Citations -  7705

Zhouhan Lin is an academic researcher from Université de Montréal. The author has contributed to research in topics: Computer science & Recurrent neural network. The author has an hindex of 18, co-authored 43 publications receiving 6258 citations. Previous affiliations of Zhouhan Lin include Harbin Institute of Technology.

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Theano: A Python framework for fast computation of mathematical expressions

Rami Al-Rfou, +111 more
TL;DR: The performance of Theano is compared against Torch7 and TensorFlow on several machine learning models and recently-introduced functionalities and improvements are discussed.
Journal ArticleDOI

Deep Learning-Based Classification of Hyperspectral Data

TL;DR: The concept of deep learning is introduced into hyperspectral data classification for the first time, and a new way of classifying with spatial-dominated information is proposed, which is a hybrid of principle component analysis (PCA), deep learning architecture, and logistic regression.
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A Structured Self-attentive Sentence Embedding

TL;DR: This paper proposed a self-attention mechanism and a special regularization term for the model, which achieved a significant performance gain compared to other sentence embedding methods in all of the three tasks.
Proceedings Article

A Structured Self-Attentive Sentence Embedding.

TL;DR: A new model for extracting an interpretable sentence embedding by introducing self-attention is proposed, which uses a 2-D matrix to represent the embedding, with each row of the matrix attending on a different part of the sentence.
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Towards Biologically Plausible Deep Learning

TL;DR: The theory about the probabilistic interpretation of auto-encoders is extended to justify improved sampling schemes based on the generative interpretation of denoising auto- Encoder, and these ideas are validated on generative learning tasks.