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CMU Neural Nets for NLP 2021 (12): Model Interpretation
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This lecture (by Danish Pruthi) for CMU CS 11-747, Neural Networks for NLP (Spring 2021) covers model interpretation.
Class Site:
Graham Neubig
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1:11:39
CMU Neural Nets for NLP 2020 (1): Introduction
1:09:00
CMU Neural Nets for NLP 2019 (1): Intro/Why Neural Nets for NLP
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CMU Neural Nets for NLP 2020 (24): Natural Language Generation
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CMU Neural Nets for NLP 2021 (1): Introduction
1:18:40
CMU Neural Nets for NLP 2020 (22): Neural Nets + Knowledge Bases
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CMU Neural Nets for NLP 2021 (17): Neural Nets + Knowledge Bases
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CMU Neural Nets for NLP 2020 (21): Document Level Models
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CMU Neural Nets for NLP 2020 (20): Multitask and Multilingual Learning
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CMU Neural Nets for NLP 2020 (16): Advanced Search Algorithms
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CMU Neural Nets for NLP 2021 (12): Model Interpretation
1:00:42
CMU Neural Nets for NLP 2018 (21): Document-level Models
0:54:45
CMU Neural Nets for NLP 2020 (3): Convolutional Neural Networks for Text
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CMU Neural Nets for NLP 2020 (23): Machine Reading w/ Neural Nets
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CMU Neural Nets for NLP 2019 (11): Reinforcement Learning
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CMU Neural Nets for NLP 2018 (19): Unsupervised and Semi-supervised Learning of Structure
1:09:52
CMU Neural Nets for NLP 2019 (10): Structured Prediction Basics
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CMU Neural Nets for NLP 2021 (21): Multilingual Learning
0:34:43
CMU Neural Nets for NLP 2021 (3): Building A Neural Network Toolkit for NLP, minnn
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CMU Neural Nets for NLP 2020 (4): Recurrent Neural Networks
1:12:09
CMU Neural Nets for NLP 2019 (4): Convolutional Neural Networks for Language
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CMU Neural Nets for NLP
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CMU Neural Nets for NLP 2021 (16): Machine Reading w/ Neural Nets
0:38:50
CMU Neural Nets for NLP 2021 (5): Recurrent Neural Networks
1:15:18
CMU Neural Nets for NLP 2019 (9): Debugging Neural Nets (for NLP)