| Beyond vqa: Generating multi-word answers and rationales to visual questions R Dua, SS Kancheti, VN Balasubramanian Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2021 | 30 | 2021 |
| Instance-wise causal feature selection for model interpretation P Panda, SS Kancheti, VN Balasubramanian Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2021 | 21 | 2021 |
| Matching learned causal effects of neural networks with domain priors SS Kancheti, AG Reddy, VN Balasubramanian, A Sharma arXiv preprint arXiv:2111.12490, 2021 | 14 | 2021 |
| Linguistically-aware attention for reducing the semantic gap in vision-language tasks KV Gouthaman, A Nambiar, KS Srinivas, A Mittal Pattern Recognition 112, 107812, 2021 | 13 | 2021 |
| Algorithmic Recourse based on User’s Feature-order Preference M Singh, SS Kancheti, S Gupta, G Ghalme, S Jain, N C. Krishnan Proceedings of the 6th Joint International Conference on Data Science …, 2023 | 2 | 2023 |
| A Simple Test-time Adaptation Method for Source-free Domain Generalization V Narayanan, SS Kancheti, S Ramakrishnan, VN Balasubramanian | 1 | 2023 |
| Can Better Text Semantics in Prompt Tuning Improve VLM Generalization? HC Kuchibhotla, SS Kancheti, AG Reddy, VN Balasubramanian arXiv preprint arXiv:2405.07921, 2024 | | 2024 |
| Interpretable Model Drift Detection P Panda, SS Kancheti, VN Balasubramanian, G Sinha Proceedings of the 7th Joint International Conference on Data Science …, 2024 | | 2024 |
| Semantic Alignment for Prompt-Tuning in Vision Language Models HC Kuchibhotla, SS Kancheti, AG Reddy, VN Balasubramanian Transactions on Machine Learning Research, 0 | | |
| Fine-Grained Visual Recognition in the Age of Multimodal LLMs HC Kuchibhotla, AG Reddy, SS Kancheti, VN Balasubramanian Adaptive Foundation Models: Evolving AI for Personalized and Efficient Learning, 0 | | |
Vineeth N BalasubramanianProfessor, Indian Institute of Technology, Hyderabad, Indiaiith.ac.in üzerinde doğrulanmış e-posta adresine sahip