Announcements
First class
First class on August 4, 2021 3:00 PM.
Logistics
Syllabus
- •Visual and Time Series Modeling - Semantic Models, Recurrent neural models and LSTM models, Encoder-decoder models, Attention models.
- •Representation Learning, Causality And Explainability - t-SNE visualization, Hierarchical Representation, semantic embeddings, gradient and perturbation analysis, Topics in Explainable learning, Structural causal models.
- •Unsupervised Learning: - Restricted Boltzmann Machines, Variational Autoencoders, Generative Adversarial Networks.
- •New Architectures - Capsule networks, End-to-end models, Transformer Networks.
- •Applications - Applications in in NLP, Speech, Image/Video domains in all modules.
Grading Details
60%
3 monthly research projects
From three different domains (Speech/Audio, Text, Images/Videos, Biomedical, Financial, Chemical/Physical Sciences/Mathematical Sciences)
10%
Midterm Exam
30%
Final Exam
Pre-requisites
Linear Algebra
Random Process
Basic Machine Learning/Pattern Recognition course
Good background in Python programming.
References
A significant portion of the material would come from research papers/tutorials in the domain.
Lecture notes in pdf format.
Slides
Date
Topic
Slides