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CMU Neural Nets for NLP 2021 (4): Efficiency Tricks for Neural Nets
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This lecture (by Graham Neubig) for CMU CS 11-747, Neural Networks for NLP (Spring 2021) covers:
* Tips for Training on GPUs
* Parallel Training
* Negative Sampling
* Softmax Approximations: Negative Sampling, Hierarchical Softmax
* Tips for Training on GPUs
* Parallel Training
* Negative Sampling
* Softmax Approximations: Negative Sampling, Hierarchical Softmax
CMU Neural Nets for NLP 2020 (1): Introduction
CMU Neural Nets for NLP 2019 (1): Intro/Why Neural Nets for NLP
CMU Neural Nets for NLP 2021 (17): Neural Nets + Knowledge Bases
CMU Neural Nets for NLP 2021 (1): Introduction
CMU Neural Nets for NLP 2020 (24): Natural Language Generation
CMU Neural Nets for NLP 2020 (22): Neural Nets + Knowledge Bases
CMU Neural Nets for NLP 2020 (21): Document Level Models
CMU Neural Nets for NLP 2020 (20): Multitask and Multilingual Learning
CMU Neural Nets for NLP 2020 (3): Convolutional Neural Networks for Text
CMU Neural Nets for NLP 2020 (16): Advanced Search Algorithms
CMU Neural Nets for NLP 2021 (12): Model Interpretation
CMU Neural Nets for NLP 2019 (11): Reinforcement Learning
CMU Neural Nets for NLP 2018 (21): Document-level Models
CMU Neural Nets for NLP 2021 (3): Building A Neural Network Toolkit for NLP, minnn
CMU Neural Nets for NLP 2020 (23): Machine Reading w/ Neural Nets
CMU Neural Nets for NLP 2019 (10): Structured Prediction Basics
CMU Neural Nets for NLP 2018 (19): Unsupervised and Semi-supervised Learning of Structure
CMU Neural Nets for NLP 2021 (5): Recurrent Neural Networks
CMU Neural Nets for NLP 2021 (21): Multilingual Learning
CMU Neural Nets for NLP 2020 (4): Recurrent Neural Networks
CMU Neural Nets for NLP 2021 (4): Efficiency Tricks for Neural Nets
CMU Neural Nets for NLP
CMU Neural Nets for NLP 2019 (4): Convolutional Neural Networks for Language
