Graham Neubig Courses

CMU Advanced NLP: Pre-training Methods

Explore advanced NLP concepts including multi-task learning, sentence embeddings, BERT variants, and language modeling objectives. Gain insights into cutting-edge techniques for natural language processing.

• YouTube
• 1 hour 22 minutes
• On-Demand
• Free Video

CMU Advanced NLP 2021 - Conditional Generation

Learn advanced NLP techniques for conditional generation, including encoder-decoder models, search algorithms, ensembling, and evaluation methods. Explore applications in translation, summarization, and dialogue systems.

• YouTube
• 1 hour 18 minutes
• On-Demand
• Free Video

CMU Advanced NLP: Recurrent Neural Networks

Explore recurrent neural networks, LSTMs, and their applications in NLP, covering long-distance dependencies, prediction types, and optimization techniques for advanced language processing tasks.

• YouTube
• 1 hour 14 minutes
• On-Demand
• Free Video

CMU Advanced NLP: Text Classification

Comprehensive introduction to neural networks for NLP, covering core concepts like forward/backward algorithms, parameter updates, and training techniques for text classification tasks.

• YouTube
• 1 hour 14 minutes
• On-Demand
• Free Video

CMU Advanced NLP: Introduction to NLP

Explore key concepts, challenges, and applications of natural language processing, including feature extraction, sentiment analysis, and neural network models.

• YouTube
• 1 hour 9 minutes
• On-Demand
• Free Video

Neural Nets for NLP 2021 - Document-Level Models

Explores advanced NLP techniques for document-level tasks, including long-document modeling, entity coreference, and discourse parsing, with a focus on neural network approaches and their applications.

• YouTube
• 40 minutes
• On-Demand
• Free Video

Neural Nets for NLP 2021 - Multilingual Learning

Explore multilingual learning in NLP, covering models, data balancing, parameter sharing, and cross-lingual transfer techniques for improved language processing across diverse languages.

• YouTube
• 33 minutes
• On-Demand
• Free Video

Neural Nets for NLP - Models with Latent Random Variables

Explore neural network models with latent random variables for NLP, covering variational autoencoders, discrete latent variables, and their applications in language processing.

• YouTube
• 41 minutes
• On-Demand
• Free Video

Neural Nets for NLP 2021 - Adversarial Methods

Explore generative adversarial networks, adversarial feature learning, and adversarial attacks in NLP. Learn cutting-edge techniques for robust and domain-invariant neural network models in natural language processing.

• YouTube
• 42 minutes
• On-Demand
• Free Video

Neural Nets for NLP 2021 - Neural Nets + Knowledge Bases

Neural networks for knowledge bases: learning embeddings, incorporating KBs into models, and probing language models. Covers relation extraction, distant supervision, retrofitting embeddings, and open information extraction.

• YouTube
• 44 minutes
• On-Demand
• Free Video

Neural Nets for NLP 2021 - Machine Reading with Neural Nets

Explore machine reading techniques for NLP, covering datasets, context encoding, multi-hop reasoning, and dataset limitations. Gain insights into advanced neural network applications in natural language processing.

• YouTube
• 43 minutes
• On-Demand
• Free Video

Neural Nets for NLP 2021 - Structured Prediction with Local Independence Assumptions

Explore structured prediction in NLP, focusing on local independence assumptions and Conditional Random Fields. Learn about sequence labeling, potential functions, and dynamic programming models.

• YouTube
• 37 minutes
• On-Demand
• Free Video

Neural Nets for NLP 2021 - Distributional Semantics and Word Vectors

Explore distributional semantics and word vectors in NLP, covering techniques like skip-grams, CBOW, and advanced methods. Learn to evaluate, visualize, and apply word embeddings effectively.

• YouTube
• 43 minutes
• On-Demand
• Free Video

Neural Nets for NLP 2021 - Attention

Explore attention mechanisms in neural networks for NLP, covering key concepts, improvements, and specialized varieties with practical examples and applications.

• YouTube
• 38 minutes
• On-Demand
• Free Video

Neural Nets for NLP 2021 - Conditioned Generation

Explore encoder-decoder models, conditional generation, search techniques, ensembling, evaluation methods, and various data types for conditioning in neural network-based natural language processing.

• YouTube
• 45 minutes
• On-Demand
• Free Video