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2020 – today
- 2024
[c6]Udbhav Bamba, Neeraj Anand, Saksham Aggarwal, Dilip K. Prasad, Deepak K. Gupta:
Partial Binarization of Neural Networks for Budget-Aware Efficient Learning. WACV 2024: 2325-2334- 2023
- [j1]Anjali Gautam
, Divyesh Rana, Saksham Aggarwal, Swaraj Bhosle, Hritik Sharma:
Deep learning approach to automatically recognise license number plates. Multim. Tools Appl. 82(20): 31487-31504 (2023) - [c5]Rohit Agarwal, Gyanendra Das, Saksham Aggarwal, Alexander Horsch, Dilip K. Prasad:
Mabnet: Master Assistant Buddy Network With Hybrid Learning for Image Retrieval. ICASSP 2023: 1-5 - [c4]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 - [c3]Saksham Aggarwal, Alejandro Stuckey de la Banda, Luke Yang, Julian Gutierrez:
A Matrix-Based Approach to Parity Games. TACAS (1) 2023: 666-683 - [i3]Rohit Agarwal, Gyanendra Das, Saksham Aggarwal, Alexander Horsch, Dilip K. Prasad:
MABNet: Master Assistant Buddy Network with Hybrid Learning for Image Retrieval. CoRR abs/2303.03050 (2023) - 2022
- [c2]Saksham Aggarwal, Pawan Kumar Sahu, Taneesh Gupta, Gyanendra Das:
GPTs at Factify 2022: Prompt Aided Fact-Verification (short paper). DE-FACTIFY@AAAI 2022 - [i2]Pawan Kumar Sahu, Saksham Aggarwal, Taneesh Gupta, Gyanendra Das:
GPTs at Factify 2022: Prompt Aided Fact-Verification. CoRR abs/2206.14913 (2022) - [i1]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) - 2021
- [c1]Gyanendra Das, Saksham Aggarwal:
Bird-Species Audio Identification, Ensembling 1D + 2D Signals. CLEF (Working Notes) 2021: 1559-1570
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