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Bhawna Paliwal

PhD Student
Berkeley AI Research
bhawna_paliwal@berkeley.edu


About Me

Hi! I am Bhawna, PhD student at UC Berkeley advised by Jitendra Malik. Previously, I was a Research Engineer at Microsoft Research working with Manik Varma. I completed my undergraduate studies majoring in Computer Science at the Indian Institute of Technology (IIT), Ropar.

Publications

  1. ENLSP@NeurIPS
    Accurate and Efficient Cross-encoders for Ranking
    Bhawna Paliwal*, Deepak Saini*, Mudit Dhawan, Siddarth Asokan, Nagarajan Natarajan, Surbhi Aggarwal, Pankaj Malhotra, Jian Jiao, Manik Varma
    ENLSP Workshop@Neural Information Processing Systems (NeurIPS), 2024.
    PDF

  2. KDD
    Extreme Meta-Classification for Large-Scale Zero-Shot Retrieval
    Sachin Yadav*, Deepak Saini*, Anirudh Buvanesh*, Bhawna Paliwal, Kunal Dahiya, Siddarth Asokan, Yashoteja Prabhu, Jian Jiao, Manik Varma
    International Conference on Knowledge Discovery and Data Mining (KDD), 2024.
    PDF

  3. ICML
    OAK: Enriching Document Representations using Auxiliary Knowledge for Extreme Classification
    Shikhar Mohan*, Deepak Saini*, Anshul Mittal, Sayak Ray Chowdhury, Bhawna Paliwal, Jian Jiao, Manish Gupta, Manik Varma
    International Conference on Machine Learning (ICML), 2024.
    PDF

  4. ICLR
    Enhancing Tail Performance in Extreme Classifiers by Label Variance Reduction
    Anirudh Buvanesh*, Rahul Chand*, Jatin Prakash, Bhawna Paliwal, Mudit Dhawan, Neelabh Madan, Deepesh Hada, Vidit Jain, Sonu Mehta, Yashoteja Prabhu, Manish Gupta, Ramachandran Ramjee, Manik Varma
    International Conference on Learning Representations (ICLR), 2024.
    PDF

  5. IMIMIC@MICCAI
    This Explains That: Congruent Image Report Generation for Explainable Medical Image Analysis with Cyclic Generative Adversarial Networks
    Bhawna Paliwal*, Abhineet Pandey*, Abhinav Dhall, Ramanathan Subramanian
    International Workshop, IMIMIC held in Conjunction with MICCAI, 2021
    PDF