Following is a list of public talks I have given in the past.
| Title | Date | abstract |
|---|---|---|
| Bridging the Gap Between Visual and Analytical Machine Learning Testing | Jun 2, 2023 | Lightening talk at SEN Symposium 2023. Presented my research direction, work done so far, challenges and next steps. Content was mostly similar to the talk below. |
| Towards Understanding Machine Learning Testing in Practice | May 15, 2023 | Presentation for our poster titled Towards Understanding Machine Learning Testing in Practice which was published in CAIN 2023. |
| Data Validation with TFDV | May 16, 2022 | In this lecture we will go over the basics of data validation. The first half of this lecture will be a talk on the fundamentals of data validation. We will answer what is data validation?, why should we validate our data? and how we can validate our data?. The second half of the lecture will be a hands-on tutorial on using Tensorflow Data Validation, instructions & code for which can be found on this github repo. |
| Data Smells in Public Datasets | May 4, 2022 | In this talk I will present our recent paper titled Data Smells in Public Datasets which was published at the 1st International Conference on AI Engineering (CAIN) 2022. I will first present the problem we are trying to solve along with the contributions that we made. I will present the methodology which was followed along with the results obtained. I will present a select few smells which I personally find interesting & hope will generate some discussion. Finally, we will conclude the talk with some high level takeaways from our study along with the limitations & future directions of work. |
| Privacy Preserving Deep Learning | Sep 7, 2021 | A talk on Privacy Preserving Deep Learning (PPDL) I gave to my research group. It was largly based on a literature review I did during my Msc. |
| Research Workflow in Plaintext | Jul 12, 2021 | In this talk I will go over how we can use Emacs and org-mode to craft a research workflow. We will look at how we can leverage the power of Emacs and org-mode to capture, store, search and retrieve research data, all in plain text! The talk will touch upon how org-mode can be used as an environment for literate programming and reproducible research. I do not assume any prior knowledge of emacs or org-mode and I want this to be more of a discussion rather than a talk. Please ask me questions as I go along and share your thoughts, tips and techniques with others! |
No matching items