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ORCIDRishabh Tiwari
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2020 – today
- 2024
[c10]Rishabh Tiwari, Durga Sivasubramanian, Anmol Reddy Mekala, Ganesh Ramakrishnan, Pradeep Shenoy:
Using Early Readouts to Mediate Featural Bias in Distillation. WACV 2024: 2626-2635- 2023
- [j1]Rishabh Tiwari, Ashwani Kumar Dubey
, Álvaro Rocha:
A novel YOLOv4-modified approach for efficient object detection in satellite imagery. Expert Syst. J. Knowl. Eng. 40(5) (2023) - [c9]Kushal Chauhan, Rishabh Tiwari, Jan Freyberg, Pradeep Shenoy, Krishnamurthy Dvijotham:
Interactive Concept Bottleneck Models. AAAI 2023: 5948-5955 - [c8]Saksham Aggarwal, Taneesh Gupta, Pawan Kumar Sahu, Arnav Chavan, Rishabh Tiwari, Dilip K. Prasad, Deepak K. Gupta:
On Designing Light-Weight Object Trackers Through Network Pruning: Use CNNS or Transformers? ICASSP 2023: 1-5 - [c7]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, Yunseung Lee, Changick Kim, Subin Kim, Ganzorig Gankhuyag, Ho Jung, Junwhan Ryu, HaeMoon Kim, Byeong Hak Kim, Tu Vo, Sheir Zaheer, Alexander Holston, Chan Y. Park, Dheemant Dixit, Nahush Lele, Kushagra Bhushan, Debjani Bhowmick, Devanshu Arya, Sadaf Gulshad, Amirhossein Habibian, Amir Ghodrati, Babak Ehteshami Bejnordi, Jai Gupta, Zhuang Liu, Jiahui Yu, Dilip K. Prasad, Zhiqiang Shen:
RCV2023 Challenges: Benchmarking Model Training and Inference for Resource-Constrained Deep Learning. ICCV (Workshops) 2023: 1526-1535 - [c6]Rishabh Tiwari, Pradeep Shenoy:
Overcoming Simplicity Bias in Deep Networks using a Feature Sieve. ICML 2023: 34330-34343 - [i9]Rishabh Tiwari, Pradeep Shenoy:
Sifer: Overcoming simplicity bias in deep networks using a feature sieve. CoRR abs/2301.13293 (2023) - [i8]Rishabh Tiwari, Durga Sivasubramanian, Anmol Reddy Mekala, Ganesh Ramakrishnan, Pradeep Shenoy:
Using Early Readouts to Mediate Featural Bias in Distillation. CoRR abs/2310.18590 (2023) - 2022
- [c5]Rishabh Tiwari, KrishnaTeja Killamsetty, Rishabh K. Iyer, Pradeep Shenoy:
GCR: Gradient Coreset based Replay Buffer Selection for Continual Learning. CVPR 2022: 99-108 - [c4]Arnav Chavan, Rishabh Tiwari, Udbhav Bamba, Deepak K. Gupta:
Dynamic Kernel Selection for Improved Generalization and Memory Efficiency in Meta-learning. CVPR 2022: 9841-9850 - [i7]Arnav Chavan, Rishabh Tiwari, Udbhav Bamba, Deepak K. Gupta:
Dynamic Kernel Selection for Improved Generalization and Memory Efficiency in Meta-learning. CoRR abs/2206.01690 (2022) - [i6]Saksham Aggarwal, Taneesh Gupta, Pawan Kumar Sahu, Arnav Chavan, Rishabh Tiwari, Dilip K. Prasad, Deepak K. Gupta:
On designing light-weight object trackers through network pruning: Use CNNs or transformers? CoRR abs/2211.13769 (2022) - [i5]Kushal Chauhan, Rishabh Tiwari, Jan Freyberg, Pradeep Shenoy, Krishnamurthy Dvijotham:
Interactive Concept Bottleneck Models. CoRR abs/2212.07430 (2022) - 2021
- [c3]Arnav Chavan, Udbhav Bamba, Rishabh Tiwari, Deepak K. Gupta:
Rescaling CNN Through Learnable Repetition of Network Parameters. ICIP 2021: 754-758 - [c2]Rishabh Tiwari, Udbhav Bamba, Arnav Chavan, Deepak K. Gupta:
ChipNet: Budget-Aware Pruning with Heaviside Continuous Approximations. ICLR 2021 - [i4]Arnav Chavan, Udbhav Bamba, Rishabh Tiwari, Deepak K. Gupta:
Rescaling CNN through Learnable Repetition of Network Parameters. CoRR abs/2101.05650 (2021) - [i3]Rishabh Tiwari, Udbhav Bamba, Arnav Chavan, Deepak K. Gupta:
ChipNet: Budget-Aware Pruning with Heaviside Continuous Approximations. CoRR abs/2102.07156 (2021) - [i2]Rishabh Tiwari, KrishnaTeja Killamsetty, Rishabh K. Iyer, Pradeep Shenoy:
GCR: Gradient Coreset Based Replay Buffer Selection For Continual Learning. CoRR abs/2111.11210 (2021) - 2020
- [c1]Suyog Jadhav, Udbhav Bamba, Arnav Chavan, Rishabh Tiwari, Aryan Raj:
Multi-plateau Ensemble For Endoscopic Artefact Segmentation And Detection. EndoCV@ISBI 2020: 22-25 - [i1]Suyog Jadhav, Udbhav Bamba, Arnav Chavan, Rishabh Tiwari, Aryan Raj:
Multi-Plateau Ensemble for Endoscopic Artefact Segmentation and Detection. CoRR abs/2003.10129 (2020)
Coauthor Index
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