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ORCIDChaitanya Devaguptapu
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2020 – today
- 2024
[c6]Pranoy Panda, Ankush Agarwal, Chaitanya Devaguptapu, Manohar Kaul, Prathosh A P:
HOLMES: Hyper-Relational Knowledge Graphs for Multi-hop Question Answering using LLMs. ACL (1) 2024: 13263-13282- [c5]Siddharth Katageri, Arkadipta De, Chaitanya Devaguptapu, V. S. S. V. Prasad, Charu Sharma, Manohar Kaul:
Synergizing Contrastive Learning and Optimal Transport for 3D Point Cloud Domain Adaptation. WACV 2024: 2930-2939 - [i8]Pranoy Panda, Ankush Agarwal, Chaitanya Devaguptapu, Manohar Kaul, Prathosh A P:
HOLMES: Hyper-Relational Knowledge Graphs for Multi-hop Question Answering using LLMs. CoRR abs/2406.06027 (2024) - [i7]Chaitanya Devaguptapu, Sumukh Aithal, Shrinivas Ramasubramanian, Moyuru Yamada, Manohar Kaul:
Semantic Graph Consistency: Going Beyond Patches for Regularizing Self-Supervised Vision Transformers. CoRR abs/2406.12944 (2024) - 2023
- [i6]Chaitanya Devaguptapu, Samarth Sinha, K. J. Joseph, Vineeth N. Balasubramanian, Animesh Garg:
Δ-Networks for Efficient Model Patching. CoRR abs/2303.14772 (2023) - [i5]Siddharth Katageri, Arkadipta De, Chaitanya Devaguptapu, VSSV Prasad, Charu Sharma
, Manohar Kaul:
Synergizing Contrastive Learning and Optimal Transport for 3D Point Cloud Domain Adaptation. CoRR abs/2308.14126 (2023) - 2022
- [c4]Arjun Ashok, Chaitanya Devaguptapu, Vineeth N. Balasubramanian:
Learning Modular Structures That Generalize Out-of-Distribution (Student Abstract). AAAI 2022: 12905-12906 - [i4]Arjun Ashok, Chaitanya Devaguptapu, Vineeth Balasubramanian:
Learning Modular Structures That Generalize Out-of-Distribution. CoRR abs/2208.03753 (2022) - 2021
- [c3]Chaitanya Devaguptapu, Devansh Agarwal, Gaurav Mittal, Pulkit Gopalani, Vineeth N. Balasubramanian:
On Adversarial Robustness: A Neural Architecture Search perspective. ICCVW 2021: 152-161 - 2020
- [c2]Akshay L. Chandra, Sai Vikas Desai, Chaitanya Devaguptapu, Vineeth N. Balasubramanian:
On Initial Pools for Deep Active Learning. Preregister@NeurIPS 2020: 14-32 - [i3]Chaitanya Devaguptapu, Devansh Agarwal, Gaurav Mittal, Vineeth N. Balasubramanian:
An Empirical Study on the Robustness of NAS based Architectures. CoRR abs/2007.08428 (2020) - [i2]Akshay L. Chandra, Sai Vikas Desai, Chaitanya Devaguptapu, Vineeth N. Balasubramanian:
On Initial Pools for Deep Active Learning. CoRR abs/2011.14696 (2020)
2010 – 2019
- 2019
- [c1]Chaitanya Devaguptapu, Ninad Akolekar, Manuj M. Sharma, Vineeth N. Balasubramanian:
Borrow From Anywhere: Pseudo Multi-Modal Object Detection in Thermal Imagery. CVPR Workshops 2019: 1029-1038 - [i1]Chaitanya Devaguptapu, Ninad Akolekar, Manuj M. Sharma, Vineeth N. Balasubramanian:
Borrow from Anywhere: Pseudo Multi-modal Object Detection in Thermal Imagery. CoRR abs/1905.08789 (2019)
Coauthor Index
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