Graham Neubig Courses

CMU Neural Nets for NLP - Models with Latent Random Variables

Explore neural network models with latent random variables for NLP, covering VAEs, generative models, and techniques for discrete latent variables and controllable text generation.

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

Neural Nets for NLP 2018 - Neural Semantic Parsing

Explore neural semantic parsing techniques, including tree-based models, code generation, weakly supervised learning, and various meaning representations. Learn about graph structures and neural approaches to semantic role labeling.

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

CMU Neural Nets for NLP - Structured Prediction Basics

Explore structured prediction in NLP, covering sequence labeling, model interactions, training algorithms, and cost-augmented decoding for improved language understanding and generation.

• YouTube
• 1 hour 12 minutes
• On-Demand
• Free Video

CMU Neural Nets for NLP 2018 - Conditioned Generation

Explore advanced techniques in neural language models, including conditioned generation, sampling methods, ensembling, and evaluation paradigms for natural language processing tasks.

• YouTube
• 1 hour 12 minutes
• On-Demand
• Free Video

Neural Nets for NLP - Debugging Neural Nets for NLP

Practical strategies for debugging and optimizing neural networks in NLP, covering issues like training, overfitting, initialization, and evaluation metrics.

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

Neural Nets for NLP: Recurrent Neural Networks

Explore recurrent neural networks for NLP, covering LSTM structures, mini-batching, and handling long sequences. Learn about RNN strengths, weaknesses, and applications in language modeling.

• YouTube
• 1 hour 6 minutes
• On-Demand
• Free Video

CMU Neural Nets for NLP 2018 - Models of Words

Explore neural network techniques for natural language processing, focusing on word models, embeddings, and evaluation methods. Learn about distributional representations and their applications in NLP systems.

• YouTube
• 1 hour 13 minutes
• On-Demand
• Free Video

Neural Nets for NLP 2017 - Multilingual and Multitask Learning

Explore multitask, domain adaptation, and multilingual learning in neural networks for NLP. Gain insights into feature extraction, data augmentation, and cross-lingual techniques for improved language processing.

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

CMU Neural Nets for NLP 2017 - Advanced Search Algorithms

Explore advanced search algorithms for NLP, including beam search and A*-type search, with a focus on their applications, benefits, and challenges in neural network-based language processing.

• YouTube
• 1 hour 2 minutes
• On-Demand
• Free Video

Debugging Neural Nets for NLP

Comprehensive guide to diagnosing and resolving issues in neural networks for NLP, covering training, decoding, overfitting, and optimization techniques.

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

Neural Nets for NLP 2017 - Models of Dialog

Explore neural network approaches for chat-based and task-based dialog systems, covering generation models, diversity promotion, personality infusion, and retrieval-based methods.

• YouTube
• 1 hour 7 minutes
• On-Demand
• Free Video

Neural Nets for NLP - Document Level Models

Explore advanced NLP techniques for document-level analysis, including coreference resolution, discourse parsing, and hierarchical neural networks for improved language understanding.

• YouTube
• 1 hour 5 minutes
• On-Demand
• Free Video

Neural Nets for NLP 2017 - Unsupervised Learning of Structure

Explore unsupervised learning methods for NLP, covering feature and structure learning, design decisions, and practical examples. Gain insights into advanced techniques for neural network-based language processing.

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

Neural Nets for NLP 2017 - Adversarial Learning

Explore adversarial learning in NLP, covering generative adversarial networks, feature vs. output adversaries, discrete outputs, and applications to language tasks.

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

Neural Nets for NLP 2017 - Reinforcement Learning

Explore reinforcement learning for NLP, covering policy gradient, REINFORCE, value-based methods, and practical applications in dialogue systems and user simulators.

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