Hi there 👋. I am Sayak (সায়ক) Paul. I am a Machine Learning Engineer at Carted. Know more about me from here.
This site is built with fastpages, an easy to use blogging platform with extra features for Jupyter Notebooks.
My external articles and other publishing engagements (like books, liveProjects, etc.) are listed here. Decks from my speaking engagements are listed here. Interviews are here.
News
- New work with Pin-Yu Chen (IBM Research): Vision Transformers are Robust Learners. Accepted to AAAI 2022.
- New work with Siddha Ganju (NVIDIA): Flood Segmentation on Sentinel-1 SAR Imagery with Semi-Supervised Learning. This work is based on our winning solution (first runners-up) submitted to this competition organized by the NASA Impact team. We also made it to four NeurIPS 2021 workshops: AI for Science: Mind the Gaps, Tackling Climate Change with Machine Learning, Women in ML, and Machine Learning and the Physical Sciences.
- Serving as a PC (reviewer) for AAAI 2023.
- Serving as a TA for Full Stack Deep Learning’s 2022 cohort.
- Contributed the TensorFlow variant of SegFormer models to 🤗 Transformers. Model documentation is here. Interactive demo is here. Inference and fine-tuning code is here.
To know about my projects, please refer to my GitHub profile.
Apart from the following blog posts, I try to contribute to other platforms in the form of writing. Please refer here for more details.
