Multi-plateau Ensemble For Endoscopic Artefact Segmentation And Detection. - Suyog Jadhav; Udbhav Bamba; Arnav Chavan; Rishabh Tiwari; Aryan Raj (EndoCV@ISBI, 2020)

Rescaling CNN Through Learnable Repetition of Network Parameters. - Arnav Chavan; Udbhav Bamba; Rishabh Tiwari; Deepak K. Gupta (ICIP, 2021)

ChipNet: Budget-Aware Pruning with Heaviside Continuous Approximations. - Rishabh Tiwari; Udbhav Bamba; Arnav Chavan; Deepak K. Gupta (ICLR, 2021)

Dynamic Kernel Selection for Improved Generalization and Memory Efficiency in Meta-learning. - Arnav Chavan; Rishabh Tiwari; Udbhav Bamba; Deepak K. Gupta (CVPR, 2022)

GCR: Gradient Coreset based Replay Buffer Selection for Continual Learning. - Rishabh Tiwari; KrishnaTeja Killamsetty; Rishabh K. Iyer; Pradeep Shenoy (CVPR, 2022)

Interactive Concept Bottleneck Models. - Kushal Chauhan; Rishabh Tiwari; Jan Freyberg; Pradeep Shenoy; Krishnamurthy Dvijotham (AAAI, 2023)

On Designing Light-Weight Object Trackers Through Network Pruning: Use CNNS or Transformers? - Saksham Aggarwal; Taneesh Gupta; Pawan Kumar Sahu; Arnav Chavan; Rishabh Tiwari; Dilip K. Prasad; Deepak K. Gupta (ICASSP, 2023)

RCV2023 Challenges: Benchmarking Model Training and Inference for Resource-Constrained Deep Learning. - Rishabh Tiwari; Arnav Chavan; Deepak K. Gupta; Gowreesh Mago; Animesh Gupta; Akash Gupta; Suraj Sharan; Yukun Yang; Shanwei Zhao; Shihao Wang; Youngjun Kwak; Seonghun Jeong; et al. (ICCV (Workshops), 2023)

Overcoming Simplicity Bias in Deep Networks using a Feature Sieve. - Rishabh Tiwari; Pradeep Shenoy (ICML, 2023)

Sifer: Overcoming simplicity bias in deep networks using a feature sieve. - Rishabh Tiwari; Pradeep Shenoy (CoRR, 2023)

A novel YOLOv4-modified approach for efficient object detection in satellite imagery. - Rishabh Tiwari; Ashwani Kumar Dubey; Álvaro Rocha 001 (Expert Syst. J. Knowl. Eng., 2023)

Using Early Readouts to Mediate Featural Bias in Distillation. - Rishabh Tiwari; Durga Sivasubramanian; Anmol Reddy Mekala; Ganesh Ramakrishnan; Pradeep Shenoy (WACV, 2024)

QuantSpec: Self-Speculative Decoding with Hierarchical Quantized KV Cache. - Rishabh Tiwari; Haocheng Xi; Aditya Tomar; Coleman Hooper; Sehoon Kim 001; Maxwell Horton; Mahyar Najibi; Michael W. Mahoney; Kurt Keutzer; Amir Gholami (CoRR, 2025)

Why Do Multi-Agent LLM Systems Fail? - Mert Cemri; Melissa Z. Pan; Shuyi Yang; Lakshya A. Agrawal; Bhavya Chopra; Rishabh Tiwari; Kurt Keutzer; Aditya G. Parameswaran; Dan Klein 001; Kannan Ramchandran; Matei Zaharia; Joseph E. Gonzalez; et al. (CoRR, 2025)

SPECS: Faster Test-Time Scaling through Speculative Drafts. - Mert Cemri; Nived Rajaraman; Rishabh Tiwari; Xiaoxuan Liu; Kurt Keutzer; Ion Stoica; Kannan Ramchandran; Ahmad Beirami; Ziteng Sun (CoRR, 2025)

XQuant: Breaking the Memory Wall for LLM Inference with KV Cache Rematerialization. - Aditya Tomar; Coleman Hooper; Minjae Lee; Haocheng Xi; Rishabh Tiwari; Wonjun Kang; Luca Manolache; Michael W. Mahoney; Kurt Keutzer; Amir Gholami (CoRR, 2025)