M. Pawan Kumar
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
45
Venues
10
Active years
2004–2025
Best venue rank
A*
Where they publish
Papers
45 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2025 | ICLR | Do as I do (Safely): Mitigating Task-Specific Fine-tuning Risks in Large Language Models. | Francisco Eiras, Aleksandar Petrov, Philip Torr, M. Pawan Kumar, Adel Bibi |
| 2024 | ICLR | Expressive Losses for Verified Robustness via Convex Combinations. | Alessandro De Palma, Rudy Bunel, Krishnamurthy (Dj) Dvijotham, M. Pawan Kumar, Robert Stanforth, Alessio Lomuscio |
| 2024 | ICML | Efficient Error Certification for Physics-Informed Neural Networks. | Francisco Eiras, Adel Bibi, Rudy Bunel, Krishnamurthy Dj Dvijotham, Philip Torr, M. Pawan Kumar |
| 2021 | ICLR | Scaling the Convex Barrier with Active Sets. | Alessandro De Palma, Harkirat S. Behl, Rudy Bunel, Philip H. S. Torr, M. Pawan Kumar |
| 2021 | UAI | Generating adversarial examples with graph neural networks. | Florian Jaeckle, M. Pawan Kumar |
| 2020 | ECCV | Weakly Supervised Instance Segmentation by Learning Annotation Consistent Instances. | Aditya Arun, C. V. Jawahar, M. Pawan Kumar |
| 2020 | ICLR | Neural Network Branching for Neural Network Verification. | Jingyue Lu, M. Pawan Kumar |
| 2020 | ICML | Training Neural Networks for and by Interpolation. | Leonard Berrada, Andrew Zisserman, M. Pawan Kumar |
| 2020 | UAI | Lagrangian Decomposition for Neural Network Verification. | Rudy Bunel, Alessandro De Palma, Alban Desmaison, Krishnamurthy Dvijotham, Pushmeet Kohli, Philip H. S. Torr, M. Pawan Kumar |
| 2019 | CVPR | Dissimilarity Coefficient Based Weakly Supervised Object Detection. | Aditya Arun, C. V. Jawahar, M. Pawan Kumar |
| 2019 | ICCV | New Convex Relaxations for MRF Inference With Unknown Graphs. | Zhenhua Wang, Tong Liu, Qinfeng Shi, M. Pawan Kumar, Jianhua Zhang |
| 2019 | ICLR | Deep Frank-Wolfe For Neural Network Optimization. | Leonard Berrada, Andrew Zisserman, M. Pawan Kumar |
| 2019 | ICLR | A Statistical Approach to Assessing Neural Network Robustness. | Stefan Webb, Tom Rainforth, Yee Whye Teh, M. Pawan Kumar |
| 2018 | AISTATS | Learning to Round for Discrete Labeling Problems. | Pritish Mohapatra, C. V. Jawahar, M. Pawan Kumar |
| 2018 | AISTATS | Optimal Submodular Extensions for Marginal Estimation. | Pankaj Pansari, Chris Russell, M. Pawan Kumar |
| 2018 | BMVC | Learning Human Poses from Actions. | Aditya Arun, C. V. Jawahar, M. Pawan Kumar |
| 2018 | CVPR | Efficient Optimization for Rank-Based Loss Functions. | Pritish Mohapatra, Michal Rolnek, C. V. Jawahar, Vladimir Kolmogorov, M. Pawan Kumar |
| 2018 | ICLR | Smooth Loss Functions for Deep Top-k Classification. | Leonard Berrada, Andrew Zisserman, M. Pawan Kumar |
| 2017 | CVPR | Efficient Linear Programming for Dense CRFs. | Thalaiyasingam Ajanthan, Alban Desmaison, Rudy Bunel, Mathieu Salzmann, Philip H. S. Torr, M. Pawan Kumar |
| 2017 | CVPR | Truncated Max-of-Convex Models. | Pankaj Pansari, M. Pawan Kumar |
| 2017 | ICLR | Trusting SVM for Piecewise Linear CNNs. | Leonard Berrada, Andrew Zisserman, M. Pawan Kumar |
| 2017 | ICLR | Learning to superoptimize programs. | Rudy Bunel, Alban Desmaison, M. Pawan Kumar, Philip H. S. Torr, Pushmeet Kohli |
| 2016 | BMVC | Coplanar Repeats by Energy Minimization. | James Pritts, Denys Rozumnyi, M. Pawan Kumar, Ondrej Chum |
| 2016 | ECCV | Efficient Continuous Relaxations for Dense CRF. | Alban Desmaison, Rudy Bunel, Pushmeet Kohli, Philip H. S. Torr, M. Pawan Kumar |
| 2016 | ECCV | Partial Linearization Based Optimization for Multi-class SVM. | Pritish Mohapatra, Puneet Kumar Dokania, C. V. Jawahar, M. Pawan Kumar |
| 2015 | ICCV | Entropy-Based Latent Structured Output Prediction. | Diane Bouchacourt, Sebastian Nowozin, M. Pawan Kumar |
| 2015 | ICCV | Parsimonious Labeling. | Puneet Kumar Dokania, M. Pawan Kumar |
| 2014 | CVPR | Optimizing Average Precision Using Weakly Supervised Data. | Aseem Behl, C. V. Jawahar, M. Pawan Kumar |
| 2014 | ECCV | Learning to Rank Using High-Order Information. | Puneet Kumar Dokania, Aseem Behl, C. V. Jawahar, M. Pawan Kumar |
| 2013 | MICCAI | Discriminative Parameter Estimation for Random Walks Segmentation. | Pierre-Yves Baudin, Danny Goodman, Puneet Kumar, Noura Azzabou, Pierre G. Carlier, Nikos Paragios, M. Pawan Kumar |
| 2012 | ICML | Modeling Latent Variable Uncertainty for Loss-based Learning. | M. Pawan Kumar, Benjamin Packer, Daphne Koller |
| 2011 | ICCV | Learning specific-class segmentation from diverse data. | M. Pawan Kumar, Haithem Turki, Dan Preston, Daphne Koller |
| 2010 | CVPR | Energy minimization for linear envelope MRFs. | Pushmeet Kohli, M. Pawan Kumar |
| 2010 | CVPR | Efficiently selecting regions for scene understanding. | M. Pawan Kumar, Daphne Koller |
| 2009 | ICCV | Efficient discriminative learning of parts-based models. | M. Pawan Kumar, Andrew Zisserman, Philip H. S. Torr |
| 2009 | UAI | MAP Estimation of Semi-Metric MRFs via Hierarchical Graph Cuts. | M. Pawan Kumar, Daphne Koller |
| 2008 | ICML | Efficiently solving convex relaxations for MAP estimation. | M. Pawan Kumar, Philip H. S. Torr |
| 2007 | CVPR | P3 & Beyond: Solving Energies with Higher Order Cliques. | Pushmeet Kohli, M. Pawan Kumar, Philip H. S. Torr |
| 2007 | ICCV | An Invariant Large Margin Nearest Neighbour Classifier. | M. Pawan Kumar, Philip H. S. Torr, Andrew Zisserman |
| 2006 | CVPR | Solving Markov Random Fields using Second Order Cone Programming Relaxations. | M. Pawan Kumar, Philip H. S. Torr, Andrew Zisserman |
| 2006 | ECCV | Fast Memory-Efficient Generalized Belief Propagation. | M. Pawan Kumar, Philip H. S. Torr |
| 2005 | CVPR | OBJ CUT. | M. Pawan Kumar, Philip H. S. Torr, Andrew Zisserman |
| 2005 | ICCV | Learning Layered Motion Segmentation of Video. | M. Pawan Kumar, Philip H. S. Torr, Andrew Zisserman |
| 2004 | BMVC | Extending Pictorial Structures for Object Recognition. | M. Pawan Kumar, Philip H. S. Torr, Andrew Zisserman |
| 2004 | ICIP | Building blocks for autonomous navigation using contour correspondences. | M. Pawan Kumar, C. V. Jawahar, P. J. Narayanan |