Perera, Pramuditha

10 publications

NeurIPS 2025 Approximately Aligned Decoding Daniel Melcer, Sujan Kumar Gonugondla, Pramuditha Perera, Haifeng Qian, Wen-Hao Chiang, Yanjun Wang, Nihal Jain, Pranav Garg, Xiaofei Ma, Anoop Deoras

ICLR 2024 Meaning Representations from Trajectories in Autoregressive Models Tian Yu Liu, Matthew Trager, Alessandro Achille, Pramuditha Perera, Luca Zancato, Stefano Soatto

CVPR 2024 Multi-Modal Hallucination Control by Visual Information Grounding Alessandro Favero, Luca Zancato, Matthew Trager, Siddharth Choudhary, Pramuditha Perera, Alessandro Achille, Ashwin Swaminathan, Stefano Soatto

CVPR 2023 A-La-Carte Prompt Tuning (APT): Combining Distinct Data via Composable Prompting Benjamin Bowman, Alessandro Achille, Luca Zancato, Matthew Trager, Pramuditha Perera, Giovanni Paolini, Stefano Soatto

ICCV 2023 Linear Spaces of Meanings: Compositional Structures in Vision-Language Models Matthew Trager, Pramuditha Perera, Luca Zancato, Alessandro Achille, Parminder Bhatia, Stefano Soatto

CVPR 2023 Train/Test-Time Adaptation with Retrieval Luca Zancato, Alessandro Achille, Tian Yu Liu, Matthew Trager, Pramuditha Perera, Stefano Soatto

CVPR 2020 Generative-Discriminative Feature Representations for Open-Set Recognition Pramuditha Perera, Vlad I. Morariu, Rajiv Jain, Varun Manjunatha, Curtis Wigington, Vicente Ordonez, Vishal M. Patel

ECCV 2020 Open-Set Adversarial Defense Rui Shao, Pramuditha Perera, Pong C. Yuen, Vishal M. Patel

CVPR 2019 Deep Transfer Learning for Multiple Class Novelty Detection Pramuditha Perera, Vishal M. Patel

CVPR 2019 OCGAN: One-Class Novelty Detection Using GANs with Constrained Latent Representations Pramuditha Perera, Ramesh Nallapati, Bing Xiang