Chaitanya Devaguptapu

Publication Activity (10 Years)

Years Active: 2019-2024
Publications (10 Years): 14

Top Topics

Active Learning

Neural Architecture

Question Answering

Top Venues

Preregister@NeurIPS

Publications

Pranoy Panda, Ankush Agarwal, Chaitanya Devaguptapu, Manohar Kaul, Prathosh A P
HOLMES: Hyper-Relational Knowledge Graphs for Multi-hop Question Answering using LLMs. CoRR (2024)
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)
Chaitanya Devaguptapu, Sumukh Aithal, Shrinivas Ramasubramanian, Moyuru Yamada, Manohar Kaul
Semantic Graph Consistency: Going Beyond Patches for Regularizing Self-Supervised Vision Transformers. CoRR (2024)
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)
Chaitanya Devaguptapu, Samarth Sinha, K. J. Joseph, Vineeth N. Balasubramanian, Animesh Garg
Δ-Networks for Efficient Model Patching. CoRR (2023)
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 (2023)
Arjun Ashok, Chaitanya Devaguptapu, Vineeth N. Balasubramanian
Learning Modular Structures That Generalize Out-of-Distribution (Student Abstract). AAAI (2022)
Arjun Ashok, Chaitanya Devaguptapu, Vineeth Balasubramanian
Learning Modular Structures That Generalize Out-of-Distribution. CoRR (2022)
Chaitanya Devaguptapu, Devansh Agarwal, Gaurav Mittal, Pulkit Gopalani, Vineeth N. Balasubramanian
On Adversarial Robustness: A Neural Architecture Search perspective. ICCVW (2021)
Chaitanya Devaguptapu, Devansh Agarwal, Gaurav Mittal, Vineeth N. Balasubramanian
An Empirical Study on the Robustness of NAS based Architectures. CoRR (2020)
Akshay L. Chandra, Sai Vikas Desai, Chaitanya Devaguptapu, Vineeth N. Balasubramanian
On Initial Pools for Deep Active Learning. CoRR (2020)
Akshay L. Chandra, Sai Vikas Desai, Chaitanya Devaguptapu, Vineeth N. Balasubramanian
On Initial Pools for Deep Active Learning. Preregister@NeurIPS (2020)
Chaitanya Devaguptapu, Ninad Akolekar, Manuj M. Sharma, Vineeth N. Balasubramanian
Borrow From Anywhere: Pseudo Multi-Modal Object Detection in Thermal Imagery. CVPR Workshops (2019)
Chaitanya Devaguptapu, Ninad Akolekar, Manuj M. Sharma, Vineeth N. Balasubramanian
Borrow from Anywhere: Pseudo Multi-modal Object Detection in Thermal Imagery. CoRR (2019)