Dokania, Puneet K.

28 publications

CVPRW 2025 MObI: Multimodal Object Inpainting Using Diffusion Models Alexandru Buburuzan, Anuj Sharma, John Redford, Puneet K. Dokania, Romain Mueller

ICML 2025 Mixture of Experts Made Intrinsically Interpretable Xingyi Yang, Constantin Venhoff, Ashkan Khakzar, Christian Schroeder De Witt, Puneet K. Dokania, Adel Bibi, Philip Torr

TMLR 2024 Fine-Tuning Can Cripple Your Foundation Model; Preserving Features May Be the Solution Jishnu Mukhoti, Yarin Gal, Philip Torr, Puneet K. Dokania

TMLR 2024 MoCaE: Mixture of Calibrated Experts Significantly Improves Object Detection Kemal Oksuz, Selim Kuzucu, Tom Joy, Puneet K. Dokania

NeurIPS 2024 RanDumb: Random Representations Outperform Online Continually Learned Representations Ameya Prabhu, Shiven Sinha, Ponnurangam Kumaraguru, Philip H.S. Torr, Ozan Sener, Puneet K. Dokania

ECCVW 2024 Segment, Select, Correct: A Framework for Weakly-Supervised Referring Segmentation Francisco Eiras, Kemal Oksuz, Adel Bibi, Philip H. S. Torr, Puneet K. Dokania

NeurIPS 2024 What Makes and Breaks Safety Fine-Tuning? a Mechanistic Study Samyak Jain, Ekdeep Singh Lubana, Kemal Oksuz, Tom Joy, Philip H.S. Torr, Amartya Sanyal, Puneet K. Dokania

ICMLW 2024 What Makes and Breaks Safety Fine-Tuning? a Mechanistic Study Samyak Jain, Ekdeep Singh Lubana, Kemal Oksuz, Tom Joy, Philip Torr, Amartya Sanyal, Puneet K. Dokania

TMLR 2023 Catastrophic Overfitting Can Be Induced with Discriminative Non-Robust Features Guillermo Ortiz-Jimenez, Pau de Jorge, Amartya Sanyal, Adel Bibi, Puneet K. Dokania, Pascal Frossard, Grégory Rogez, Philip Torr

CVPR 2023 Computationally Budgeted Continual Learning: What Does Matter? Ameya Prabhu, Hasan Abed Al Kader Hammoud, Puneet K. Dokania, Philip H.S. Torr, Ser-Nam Lim, Bernard Ghanem, Adel Bibi

ICML 2023 Graph Inductive Biases in Transformers Without Message Passing Liheng Ma, Chen Lin, Derek Lim, Adriana Romero-Soriano, Puneet K. Dokania, Mark Coates, Philip Torr, Ser-Nam Lim

AAAI 2023 Query-Based Hard-Image Retrieval for Object Detection at Test Time Edward Ayers, Jonathan Sadeghi, John Redford, Romain Mueller, Puneet K. Dokania

ICCVW 2023 Raising the Bar on the Evaluation of Out-of-Distribution Detection Jishnu Mukhoti, Tsung-Yu Lin, Bor-Chun Chen, Ashish Shah, Philip H. S. Torr, Puneet K. Dokania, Ser-Nam Lim

AAAI 2023 Sample-Dependent Adaptive Temperature Scaling for Improved Calibration Tom Joy, Francesco Pinto, Ser-Nam Lim, Philip H. S. Torr, Puneet K. Dokania

CVPR 2023 Towards Building Self-Aware Object Detectors via Reliable Uncertainty Quantification and Calibration Kemal Oksuz, Tom Joy, Puneet K. Dokania

TMLR 2022 ANCER: Anisotropic Certification via Sample-Wise Volume Maximization Francisco Eiras, Motasem Alfarra, Philip Torr, M. Pawan Kumar, Puneet K. Dokania, Bernard Ghanem, Adel Bibi

ECCV 2022 An Impartial Take to the CNN vs Transformer Robustness Contest Francesco Pinto, Philip H. S. Torr, Puneet K. Dokania

NeurIPSW 2021 Are Vision Transformers Always More Robust than Convolutional Neural Networks? Francesco Pinto, Philip Torr, Puneet K. Dokania

ICLR 2021 How Benign Is Benign Overfitting ? Amartya Sanyal, Puneet K. Dokania, Varun Kanade, Philip Torr

NeurIPSW 2021 Mix-MaxEnt: Improving Accuracy and Uncertainty Estimates of Deterministic Neural Networks Francesco Pinto, Harry Yang, Ser-Nam Lim, Philip Torr, Puneet K. Dokania

ICLR 2021 No Cost Likelihood Manipulation at Test Time for Making Better Mistakes in Deep Networks Shyamgopal Karthik, Ameya Prabhu, Puneet K. Dokania, Vineet Gandhi

ICLR 2021 Progressive Skeletonization: Trimming More Fat from a Network at Initialization Pau de Jorge, Amartya Sanyal, Harkirat Behl, Philip Torr, Grégory Rogez, Puneet K. Dokania

AAAI 2021 Using Hindsight to Anchor past Knowledge in Continual Learning Arslan Chaudhry, Albert Gordo, Puneet K. Dokania, Philip H. S. Torr, David Lopez-Paz

ECCV 2020 GDumb: A Simple Approach That Questions Our Progress in Continual Learning Ameya Prabhu, Philip H. S. Torr, Puneet K. Dokania

ICLR 2020 Stable Rank Normalization for Improved Generalization in Neural Networks and GANs Amartya Sanyal, Philip H. S. Torr, Puneet K. Dokania

ECCV 2018 Riemannian Walk for Incremental Learning: Understanding Forgetting and Intransigence Arslan Chaudhry, Puneet K. Dokania, Thalaiyasingam Ajanthan, Philip H. S. Torr

JMLR 2016 Rounding-Based Moves for Semi-Metric Labeling M. Pawan Kumar, Puneet K. Dokania

ICCV 2015 Parsimonious Labeling Puneet K. Dokania, M. Pawan Kumar