I am an ELLIS Ph.D. student specializing in Machine Learning and Computer Vision, co-advised by Dr. Anjan Dutta (University of Surrey), Prof. Serge Belongie (University of Copenhagen), and Dr. Muhammad Rana (University of Surrey). I am fortunate to be affiliated with the Surrey Institute for People-Centred Artificial Intelligence (PAI), Centre for Vision, Speech and Signal Processing (CVSSP) at the University of Surrey, and Pioneer Centre for Artificial Intelligence in Copenhagen. Before beginning my Ph.D., I worked as a full-time researcher (2019-2022) at Tata Research and Innovation Labs, focusing on Deep Learning and AI under the guidance of Principal Scientist Dr. Shirish Subhash Karande.
My goal is to discover interpretable representations within deep learning models to advance fairness, robustness, and transparency in both discriminative and generative models. I am passionate about exploring how interpretability can drive practical and ethical applications of AI across various domains.When I am Not Busy Being a Research Wizard...
I can usually be found singing along to my favorite songs or getting lost in a good movie. I love catching up with friends, sharing laughs, and enjoying the little moments that make life special!
I am always open to collaborations. If you're interested in working together, feel free to email me!
Concept Denoising Score Matching for Responsible Text-to-Image Generation
Silpa Vadakkeeveetil Sreelatha, Sauradip Nag, Serge Belongie, Muhammad Awais, Anjan Dutta
Safe Generative AI Workshop, NeurIPS 2024
DeNetDM: Debiasing by Network Depth Modulation
Silpa Vadakkeeveetil Sreelatha‡, Adarsh Kappiyath‡, Abhra Chaudhuri, Anjan Dutta
NeurIPS'24
Self-Supervised Enhancement of Latent Discovery in GANs
Adarsh Kappiyath‡, Silpa Vadakkeeveetil Sreelatha‡, S Sumitra
AAAI'22
Understanding Advertisements with BERT
Kanika Kalra, Bhargav Kurma, Silpa Vadakkeeveetil Sreelatha, Manasi Patwardhan, Shirish Karande
ACL'22
Disentanglement based Active Learning
Adarsh Kappiyath‡, Silpa Vadakkeeveetil Sreelatha‡, S Sumitra
IJCNN'21
Method and system for visio-linguistic understanding using contextual language model reasoners
Sai Sree Bhargav Kurma, Kanika Kalra, Silpa Vadakkeeveetil Sreelatha, Manasi Patwardhan, Shirish Subhash Karande
US Patent
Conference Reviewing: NeurIPS'2023, NeurIPS'2024, CVPR'2024, ICML'2024
Workshop Reviewing: WiCV CVPR'2023, SafeGenAI NeurIPS'2024
Full Resume in PDF.