Adarsh Kappiyath

prof_pic.jpg

26 BBO2, Alan Turing Building

University of Surrey

United Kindgom, GU2 7XH

👋 Hi, I’m Adarsh Kappiyath, a PhD student at the University of Surrey, working under the supervision of Dr. Lu Yin and Dr. Xiatian Zhu.

🔬 My research focuses on Robustness and Out-of-Distribution (OOD) Generalization, aiming to develop models that perform reliably in real-world scenarios beyond their training data.

🚀 I’m actively seeking internships and research collaborations! If you’re interested in working together, feel free to reach out. Let’s build something impactful!

news

Jan 29, 2025 🎊 Our paper “SEBRA: Debiasing Through Self-Guided Bias Ranking” has been accepted at ICLR 2025!
Dec 29, 2024 🚀 Exciting News! Research conducted during my tenure as a Pre-doctoral Researcher at TCS Research titled “Lifelong Learning in StyleGAN through Latent Subspaces” has been accepted at TMLR!
Oct 2, 2024 🎉 I am pleased to share that our paper titled “DeNetDM: Debiasing by Network Depth Modulation” has been accepted at NeurIPS 2024.

selected publications

  1. ICLR2025
    SEBRA: Debiasing through Self-Guided Bias Ranking
    Adarsh Kappiyath, Abhra Chaudhuri, Ajay Jaiswal, and 4 more authors
    The Thirteenth International Conference on Learning Representations, 2025
    Paper Project Page
  2. NeurIPS2024
    DeNetDM: Debiasing by Network Depth Modulation
    Silpa Vadakkeeveetil Sreelatha, Adarsh Kappiyath, Abhra Chaudhuri, and 1 more author
    The Thirty-eighth Annual Conference on Neural Information Processing Systems, 2024
    Paper Project Page
  3. AAAI2022
    Self-Supervised Enhancement of Latent Discovery in GANs
    Adarsh Kappiyath, Silpa Vadakkeeveetil Sreelatha, and S. Sumitra
    Thirty-Sixth AAAI Conference on Artificial Intelligence, AAAI 2022, 2022
    Paper Project Page