NewEvery arXiv paper, its researchers & institutions — mapped.
papers

Publications (22)

cs.CV2015

Parsimonious Labeling

Puneet K. Dokania, M. Pawan Kumar

cs.LG2012

Modeling Latent Variable Uncertainty for Loss-based Learning

M. Pawan Kumar, Ben Packer, Daphne Koller

stat.ML2019

A Statistical Approach to Assessing Neural Network Robustness

Stefan Webb, Tom Rainforth, Yee Whye Teh +1

cs.CV2017

Coplanar Repeats by Energy Minimization

James Pritts, Denys Rozumnyi, M. Pawan Kumar +1

cs.CV2016

Efficient Continuous Relaxations for Dense CRF

Alban Desmaison, Rudy Bunel, Pushmeet Kohli +2

cs.CV2013

Discriminative Parameter Estimation for Random Walks Segmentation

Pierre-Yves Baudin, Danny Goodman, Puneet Kumar +4

cs.CV2016

Truncated Max-of-Convex Models

Pankaj Pansari, M. Pawan Kumar

cs.AI2018

A Unified View of Piecewise Linear Neural Network Verification

Rudy Bunel, Ilker Turkaslan, Philip H. S. Torr +2

cs.AI2016

Adaptive Neural Compilation

Rudy Bunel, Alban Desmaison, Pushmeet Kohli +2

cs.CV2018

Efficient Relaxations for Dense CRFs with Sparse Higher Order Potentials

Thomas Joy, Alban Desmaison, Thalaiyasingam Ajanthan +5

cs.LG2017

Learning to superoptimize programs

Rudy Bunel, Alban Desmaison, M. Pawan Kumar +2

cs.CV2013

Discriminative Parameter Estimation for Random Walks Segmentation: Technical Report

Pierre-Yves Baudin, Danny Goodman, Puneet Kumar +4

cs.CV2017

Efficient Linear Programming for Dense CRFs

Thalaiyasingam Ajanthan, Alban Desmaison, Rudy Bunel +3

cs.CV2016

DISCO Nets: DISsimilarity COefficient Networks

Diane Bouchacourt, M. Pawan Kumar, Sebastian Nowozin

cs.LG2016

Learning to superoptimize programs - Workshop Version

Rudy Bunel, Alban Desmaison, M. Pawan Kumar +2

cs.CV2018

Dissimilarity Coefficient based Weakly Supervised Object Detection

Aditya Arun, C. V. Jawahar, M. Pawan Kumar

cs.LG2018

Smooth Loss Functions for Deep Top-k Classification

Leonard Berrada, Andrew Zisserman, M. Pawan Kumar

cs.LG2018

Worst-case Optimal Submodular Extensions for Marginal Estimation

Pankaj Pansari, Chris Russell, M. Pawan Kumar

cs.CV2018

Efficient Optimization for Rank-based Loss Functions

Pritish Mohapatra, Michal Rolinek, C. V. Jawahar +2

cs.AI2012

MAP Estimation of Semi-Metric MRFs via Hierarchical Graph Cuts

M. Pawan Kumar, Daphne Koller

cs.CV2018

Learning Human Poses from Actions

Aditya Arun, C. V. Jawahar, M. Pawan Kumar

cs.LG2017

Trusting SVM for Piecewise Linear CNNs

Leonard Berrada, Andrew Zisserman, M. Pawan Kumar