Publications

publications by categories in reversed chronological order.

2025

  1. quantspec.png
    QuantSpec: Self-Speculative Decoding with Hierarchical Quantized KV Cache
    Rishabh Tiwari, Haocheng Xi, Aditya Tomar, and 7 more authors
    Under Review, 2025
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    Why Do Multi-Agent LLM Systems Fail?
    Mert Cemri, Melissa Z Pan, Shuyi Yang, and 8 more authors
    Under Review, 2025

2024

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    Using Early Readouts to Mediate Featural Bias in Distillation
    Rishabh Tiwari, Durga Sivasubramanian, Anmol Mekala, and 2 more authors
    WACV, 2024

2023

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    Overcoming Simplicity Bias in Deep Networks using a Feature Sieve
    Rishabh Tiwari, and Pradeep Shenoy
    ICML, 2023
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    Interactive Concept Bottleneck Models
    Kushal Chauhan, Rishabh Tiwari, Jan Freyberg, and 2 more authors
    AAAI, 2023
  3. ICASSP
    On designing light-weight object trackers through network pruning: Use CNNs or transformers?
    Saksham Aggarwal, Taneesh Gupta, Pawan Kumar Sahu, and 4 more authors
    ICASSP, 2023

2022

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    GCR: Gradient Coreset Based Replay Buffer Selection For Continual Learning
    Rishabh Tiwari, Krishnateja Killamsetty, Rishabh Iyer, and 1 more author
    In CVPR, 2022
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    Dynamic Kernel Selection for Improved Generalization and Memory Efficiency in Meta-learning
    Arnav Chavan, Rishabh Tiwari, Udbhav Bamba, and 1 more author
    In CVPR, 2022

2021

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    Chipnet: Budget-aware pruning with heaviside continuous approximations
    Rishabh Tiwari, Udbhav Bamba, Arnav Chavan, and 1 more author
    ICLR, 2021
  2. ICASSP
    Rescaling cnn through learnable repetition of network parameters
    Arnav Chavan, Udbhav Bamba, Rishabh Tiwari, and 1 more author
    In IEEE International Conference on Image Processing (ICIP), 2021

2020

  1. ISBI
    Multi-plateau ensemble for endoscopic artefact segmentation and detection
    Suyog Jadhav, Udbhav Bamba, Arnav Chavan, and 2 more authors
    In EndoCV2020 workshop ISBI, 2020