Bayesian Network Structure Adaptation for Continual Learning
Poster Presentation, ICML 2024, Vienna, Austria
Presented our work “Bayesian Adaptation of Network Depth and Width for Continual Learning”
Talks and presentations
Continual Test Time Adaptation
Invited Lecture, Course: CISC-865 Deep Learning, Rochester Institute of Technology, Rochester, New York
Talked about recent progresses in test-time adaptation and continual test-time adaptation.
OpenAI DALL-E
Lecture, Course: CISC-807 Teaching Skills Workshop, GCCIS, Rochester Institute of Technology, Rochester, New York
slides - Talked about the technical details of OpenAI DALL-E, a text to image generation model able to combine unrelated concepts in plausible ways, anthropomorphize objects and animals, and render text in images.
NLP Introduction
Talk, Mpercept, Kathmandu, Nepal
slides - Gave a basic introduction to Natural Language Processing (NLP), related problems, data representation for deep learning and common deep learning models in the domain.