lectures

Day 1:

• Lecture 1: Neural Networks (slides, video)

• Lecture 2: Representing words (slides, video)

• Invited talk: Alexander Rush, Conditional Text Generation and Pretraining. (slides, video (participants will receive the password via email))

Day 2

• Lecture 3: Convolutional Neural Networks (slides, video)

• Lecture 4: Recurrent Neural Networks (slides, video)

• Invited talk: João Sedoc, Evaluating Conversational Agents (slides, video)

Day 3

• Lecture 4.75: Attention: A Quick Recap (slides, video)

• Lecture 5: Transformers (slides, video)

• Lecture 6: Contextualized embeddings: ELMo, GPT, BERT (slides, video)

• Invited talk: Kate Saenko, Grounding Language in Pixels (slides, video)

Day 4

• Lecture 7: Memory-based models. External knowledge integration (slides, video)
• Lecture 8: Deep Question Answering (slides, video)

Day 5

• Lecture 10: Multi-skill conversational agents (slides, video)

• Lecture 11: Hierarchy in neural dialogue models (slides, video)

• Lecture 12: Dialogue diversity(slides, video)

• Invited talk: Jason Weston, Putting Together the Threads of Conversational AI? (video)