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Conference and Workshop Papers
- 2022
[c1]Utkarsh Nath, Shrinu Kushagra, Yingzhen Yang:
Adjoined Networks: A Training Paradigm With Applications to Network Compression. AAAI Spring Symposium: MAKE 2022
Informal and Other Publications
- 2024
- [i6]Jinyung Hong, Eun Som Jeon, Changhoon Kim, Keun Hee Park, Utkarsh Nath, Yezhou Yang, Pavan K. Turaga, Theodore P. Pavlic:
Learning Decomposable and Debiased Representations via Attribute-Centric Information Bottlenecks. CoRR abs/2403.14140 (2024) - [i5]Rajeev Goel, Utkarsh Nath, Yancheng Wang, Alvin C. Silva, Teresa Wu, Yingzhen Yang:
Learning Low-Rank Feature for Thorax Disease Classification. CoRR abs/2404.18933 (2024) - [i4]Utkarsh Nath, Rajeev Goel, Eun Som Jeon, Changhoon Kim, Kyle Min, Yezhou Yang, Yingzhen Yang, Pavan K. Turaga:
Deep Geometric Moments Promote Shape Consistency in Text-to-3D Generation. CoRR abs/2408.05938 (2024) - 2023
- [i3]Utkarsh Nath, Yancheng Wang, Yingzhen Yang:
RNAS-CL: Robust Neural Architecture Search by Cross-Layer Knowledge Distillation. CoRR abs/2301.08092 (2023) - 2020
- [i2]Utkarsh Nath, Shrinu Kushagra:
Better Together: Resnet-50 accuracy with $13x$ fewer parameters and at $3x$ speed. CoRR abs/2006.05624 (2020) - [i1]Utkarsh Nath, Shikha Asrani, Rahul Katarya:
Similarity-based Distance for Categorical Clustering using Space Structure. CoRR abs/2011.09887 (2020)
Coauthor Index
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