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06/21/2020
Learning compact generalizable neural representations supporting perceptual grouping
Work at the intersection of vision science and deep learning is starting...
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06/11/2020
Deep Transfer Learning with Ridge Regression
The large amount of online data and vast array of computing resources en...
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05/27/2019
An Empirical Study on Post-processing Methods for Word Embeddings
Word embeddings learnt from large corpora have been adopted in various a...
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10/29/2018
A Simple Recurrent Unit with Reduced Tensor Product Representations
idely used recurrent units, including Long-short Term Memory (LSTM) and ...
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10/29/2018
Learning Distributed Representations of Symbolic Structure Using Binding and Unbinding Operations
Widely used recurrent units, including Long-short Term Memory (LSTM) and...
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10/02/2018
Improving Sentence Representations with Multi-view Frameworks
Multi-view learning can provide self-supervision when different views ar...
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09/08/2018
Exploiting Invertible Decoders for Unsupervised Sentence Representation Learning
The encoder-decoder models for unsupervised sentence representation lear...
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05/18/2018
Multi-view Sentence Representation Learning
Multi-view learning can provide self-supervision when different views ar...
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10/28/2017
Exploring Asymmetric Encoder-Decoder Structure for Context-based Sentence Representation Learning
Context information plays an important role in human language understand...
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06/09/2017
Trimming and Improving Skip-thought Vectors
The skip-thought model has been proven to be effective at learning sente...
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06/09/2017
