READING NOTES: Taskonomy (Zamir et al., 2018)
Reading notes of the taskonomy paper. References: 1, 2 Main idea Define target tasks and source tasks and a task dictionary to find relationships between...
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READING NOTES: Sentence embeddings for linguistic properties (Conneau et al., 2018)
Main Idea: Probe linguistic properties of sentence embeddings using 3 encoders, trained in 8 ways, on 10 probing tasks.
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Reading notes of A Sensitivity Analysis of (and Practitioners’ Guide to) Convolutional Neural
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Reading notes of A Critical Review of Recurrent Neural Networks for Sequence Learning.
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Reading notes of Japanese Text Classification by Character-level Deep ConvNets and Transfer Learning
READING NOTES: CNN for Sentence Classification (Yoon Kim)
Reading notes of Convolutional Neural Networks for Sentence Classification.
READING NOTES: FastText (Joulin et.al)
Reading notes of Bag of Tricks for Efficient Text Classification. Main Idea State-of-art accuarcy, large scale, fast text classification using linear models ...
READING NOTES: Baseline needs more love (Shen et.al)
Reading notes of Baseline Needs More Love: On Simple Word-Embedding-Based Models and Associated Pooling Mechanisms
NOTES: EPI Ch4 Primitive Types
Primitive Types