Kowshik Thopalli

36 papers A* 3A 1C 1Misc 4Journal 23Unranked 4

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	ProtAlign: Contrastive learning paradigm for Sequence and structure alignment. CoRR Aditya Ranganath, Hasin Us Sami, Kowshik Thopalli, Bhavya Kailkhura, Wesam A. Sakla
2026	J	`jnl`	The Anatomy of Uncertainty in LLMs. CoRR Aditya Taparia, Ransalu Senanayake, Kowshik Thopalli, Vivek Sivaraman Narayanaswamy
2025	J	`jnl`	Interpretable and Steerable Concept Bottleneck Sparse Autoencoders. CoRR Akshay Kulkarni, Tsui-Wei Weng, Vivek Sivaraman Narayanaswamy, Shusen Liu, Wesam A. Sakla, Kowshik Thopalli
2025	Misc	`conf`	Leveraging Registers in Vision Transformers for Robust Adaptation. ICASSP Srikar Yellapragada, Kowshik Thopalli, Vivek Sivaraman Narayanaswamy, Wesam A. Sakla, Yang Liu, Yamen Mubarka, Dimitris Samaras, Jayaraman J. Thiagarajan
2025	J	`jnl`	Leveraging Registers in Vision Transformers for Robust Adaptation. CoRR Srikar Yellapragada, Kowshik Thopalli, Vivek Sivaraman Narayanaswamy, Wesam A. Sakla, Yang Liu, Yamen Mubarka, Dimitris Samaras, Jayaraman J. Thiagarajan
2025	A	`conf`	ModelX : A Novel Transfer Learning Approach Across Heterogeneous Datasets. HPDC Arunavo Dey, Neil Antony, Aakash Raj Dhakal, Kowshik Thopalli, Jayaraman J. Thiagarajan, Tapasya Patki, Aniruddha Marathe, Tom Scogland, Jae-Seung Yeom, Tanzima Z. Islam
2025	Misc	`conf`	On The Role of Prompt Construction In Enhancing Efficacy and Efficiency of LLM-Based Tabular Data Generation. ICASSP Banooqa H. Banday, Kowshik Thopalli, Tanzima Z. Islam, Jayaraman J. Thiagarajan
2025	—	`conf`	The Surprising Utility of Group Partitioning in Improving Conformal Prediction of Visual Classifiers under Distributional Shifts. CVPR Workshops Kowshik Thopalli, Vivek Sivaraman Narayanaswamy, Jayaraman J. Thiagarajan
2025	J	`jnl`	Visual Exploration of Feature Relationships in Sparse Autoencoders with Curated Concepts. CoRR Xinyuan Yan, Shusen Liu, Kowshik Thopalli, Bei Wang
2024	—	`conf`	DECIDER: Leveraging Foundation Model Priors for Improved Model Failure Detection and Explanation. ECCV (79) Rakshith Subramanyam, Kowshik Thopalli, Vivek Sivaraman Narayanaswamy, Jayaraman J. Thiagarajan
2024	J	`jnl`	DECIDER: Leveraging Foundation Model Priors for Improved Model Failure Detection and Explanation. CoRR Rakshith Subramanyam, Kowshik Thopalli, Vivek Sivaraman Narayanaswamy, Jayaraman J. Thiagarajan
2024	J	`jnl`	On The Role of Prompt Construction In Enhancing Efficacy and Efficiency of LLM-Based Tabular Data Generation. CoRR Banooqa H. Banday, Kowshik Thopalli, Tanzima Z. Islam, Jayaraman J. Thiagarajan
2024	A*	`conf`	On the Use of Anchoring for Training Vision Models. NeurIPS Vivek Sivaraman Narayanaswamy, Kowshik Thopalli, Rushil Anirudh, Yamen Mubarka, Wesam A. Sakla, Jayaraman J. Thiagarajan
2024	J	`jnl`	On the Use of Anchoring for Training Vision Models. CoRR Vivek Sivaraman Narayanaswamy, Kowshik Thopalli, Rushil Anirudh, Yamen Mubarka, Wesam A. Sakla, Jayaraman J. Thiagarajan
2024	J	`jnl`	Speeding Up Image Classifiers with Little Companions. CoRR Yang Liu, Kowshik Thopalli, Jayaraman J. Thiagarajan
2023	J	`jnl`	Improving Object Detectors by Exploiting Bounding Boxes for Augmentation Design. IEEE Access S. Devi, Kowshik Thopalli, R. Dayana, P. Malarvezhi, Jayaraman J. Thiagarajan
2023	—	`conf`	InterAug: A Tuning-Free Augmentation Policy for Data-Efficient and Robust Object Detection. ICCV (Workshops) Kowshik Thopalli, Devi S, Jayaraman J. Thiagarajan
2023	Misc	`conf`	Single-Shot Domain Adaptation via Target-Aware Generative Augmentations. ICASSP Rakshith Subramanyam, Kowshik Thopalli, Spring Berman, Pavan K. Turaga, Jayaraman J. Thiagarajan
2023	A*	`conf`	Target-Aware Generative Augmentations for Single-Shot Adaptation. ICML Kowshik Thopalli, Rakshith Subramanyam, Pavan K. Turaga, Jayaraman J. Thiagarajan
2023	J	`jnl`	Target-Aware Generative Augmentations for Single-Shot Adaptation. CoRR Kowshik Thopalli, Rakshith Subramanyam, Pavan K. Turaga, Jayaraman J. Thiagarajan
2023	J	`jnl`	The Surprising Effectiveness of Deep Orthogonal Procrustes Alignment in Unsupervised Domain Adaptation. IEEE Access Kowshik Thopalli, Rushil Anirudh, Pavan K. Turaga, Jayaraman J. Thiagarajan
2022	C	`conf`	Domain Alignment Meets Fully Test-Time Adaptation. ACML Kowshik Thopalli, Pavan K. Turaga, Jayaraman J. Thiagarajan
2022	J	`jnl`	Domain Alignment Meets Fully Test-Time Adaptation. CoRR Kowshik Thopalli, Pavan K. Turaga, Jayaraman J. Thiagarajan
2022	J	`jnl`	Improving Single-Stage Object Detectors for Nighttime Pedestrian Detection. Int. J. Pattern Recognit. Artif. Intell. Kowshik Thopalli, Jayaraman J. Thiagarajan
2022	J	`jnl`	Revisiting Deep Subspace Alignment for Unsupervised Domain Adaptation. CoRR Kowshik Thopalli, Jayaraman J. Thiagarajan, Rushil Anirudh, Pavan K. Turaga
2022	J	`jnl`	Single-Shot Domain Adaptation via Target-Aware Generative Augmentation. CoRR Rakshith Subramanyam, Kowshik Thopalli, Spring Berman, Pavan K. Turaga, Jayaraman J. Thiagarajan
2021	J	`jnl`	Improving Multi-Domain Generalization through Domain Re-labeling. CoRR Kowshik Thopalli, Sameeksha Katoch, Andreas Spanias, Pavan K. Turaga, Jayaraman J. Thiagarajan
2021	A*	`conf`	MaAST: Map Attention with Semantic Transformers for Efficient Visual Navigation. ICRA Zachary Seymour, Kowshik Thopalli, Niluthpol Chowdhury Mithun, Han-Pang Chiu, Supun Samarasekera, Rakesh Kumar
2021	J	`jnl`	MaAST: Map Attention with Semantic Transformersfor Efficient Visual Navigation. CoRR Zachary Seymour, Kowshik Thopalli, Niluthpol Chowdhury Mithun, Han-Pang Chiu, Supun Samarasekera, Rakesh Kumar
2020	J	`jnl`	Calibrate and Prune: Improving Reliability of Lottery Tickets Through Prediction Calibration. CoRR Bindya Venkatesh, Jayaraman J. Thiagarajan, Kowshik Thopalli, Prasanna Sattigeri
2019	J	`jnl`	Invenio: Discovering Hidden Relationships Between Tasks/Domains Using Structured Meta Learning. CoRR Sameeksha Katoch, Kowshik Thopalli, Jayaraman J. Thiagarajan, Pavan K. Turaga, Andreas Spanias
2019	Misc	`conf`	Multiple Subspace Alignment Improves Domain Adaptation. ICASSP Kowshik Thopalli, Rushil Anirudh, Jayaraman J. Thiagarajan, Pavan K. Turaga
2019	J	`jnl`	SALT: Subspace Alignment as an Auxiliary Learning Task for Domain Adaptation. CoRR Kowshik Thopalli, Jayaraman J. Thiagarajan, Rushil Anirudh, Pavan K. Turaga
2018	J	`jnl`	Multiple Subspace Alignment Improves Domain Adaptation. CoRR Kowshik Thopalli, Rushil Anirudh, Jayaraman J. Thiagarajan, Pavan K. Turaga
2018	—	`conf`	Perturbation Robust Representations of Topological Persistence Diagrams. ECCV (7) Anirudh Som, Kowshik Thopalli, Karthikeyan Natesan Ramamurthy, Vinay Venkataraman, Ankita Shukla, Pavan K. Turaga
2018	J	`jnl`	Perturbation Robust Representations of Topological Persistence Diagrams. CoRR Anirudh Som, Kowshik Thopalli, Karthikeyan Natesan Ramamurthy, Vinay Venkataraman, Ankita Shukla, Pavan K. Turaga