Jayasumana, Sadeep

15 publications

ICMLW 2024 Efficient Document Ranking with Learnable Late Interactions Himanshu Jain, Ziwei Ji, Sashank J. Reddi, Ankit Singh Rawat, Felix Yu, Aditya Krishna Menon, Sadeep Jayasumana

ICMLW 2024 Efficient Document Ranking with Learnable Late Interactions Himanshu Jain, Ziwei Ji, Ankit Singh Rawat, Andreas Veit, Sadeep Jayasumana, Sashank J. Reddi, Aditya Krishna Menon, Felix Yu

CVPR 2024 MarkovGen: Structured Prediction for Efficient Text-to-Image Generation Sadeep Jayasumana, Daniel Glasner, Srikumar Ramalingam, Andreas Veit, Ayan Chakrabarti, Sanjiv Kumar

CVPR 2024 Rethinking FID: Towards a Better Evaluation Metric for Image Generation Sadeep Jayasumana, Srikumar Ramalingam, Andreas Veit, Daniel Glasner, Ayan Chakrabarti, Sanjiv Kumar

ICML 2024 USTAD: Unified Single-Model Training Achieving Diverse Scores for Information Retrieval Seungyeon Kim, Ankit Singh Rawat, Manzil Zaheer, Wittawat Jitkrittum, Veeranjaneyulu Sadhanala, Sadeep Jayasumana, Aditya Krishna Menon, Rob Fergus, Sanjiv Kumar

ICML 2022 In Defense of Dual-Encoders for Neural Ranking Aditya Menon, Sadeep Jayasumana, Ankit Singh Rawat, Seungyeon Kim, Sashank Reddi, Sanjiv Kumar

NeurIPSW 2022 When Does Mixup Promote Local Linearity in Learned Representations? Arslan Chaudhry, Aditya Krishna Menon, Andreas Veit, Sadeep Jayasumana, Srikumar Ramalingam, Sanjiv Kumar

ICML 2021 Disentangling Sampling and Labeling Bias for Learning in Large-Output Spaces Ankit Singh Rawat, Aditya K Menon, Wittawat Jitkrittum, Sadeep Jayasumana, Felix Yu, Sashank Reddi, Sanjiv Kumar

ICLR 2021 Long-Tail Learning via Logit Adjustment Aditya Krishna Menon, Sadeep Jayasumana, Ankit Singh Rawat, Himanshu Jain, Andreas Veit, Sanjiv Kumar

ECCV 2016 Higher Order Conditional Random Fields in Deep Neural Networks Anurag Arnab, Sadeep Jayasumana, Shuai Zheng, Philip H. S. Torr

ICCV 2015 Conditional Random Fields as Recurrent Neural Networks Shuai Zheng, Sadeep Jayasumana, Bernardino Romera-Paredes, Vibhav Vineet, Zhizhong Su, Dalong Du, Chang Huang, Philip H. S. Torr

ECCV 2014 Expanding the Family of Grassmannian Kernels: An Embedding Perspective Mehrtash Tafazzoli Harandi, Mathieu Salzmann, Sadeep Jayasumana, Richard I. Hartley, Hongdong Li

CVPR 2014 Optimizing over Radial Kernels on Compact Manifolds Sadeep Jayasumana, Richard Hartley, Mathieu Salzmann, Hongdong Li, Mehrtash Harandi

ICCV 2013 A Framework for Shape Analysis via Hilbert Space Embedding Sadeep Jayasumana, Mathieu Salzmann, Hongdong Li, Mehrtash Harandi

CVPR 2013 Kernel Methods on the Riemannian Manifold of Symmetric Positive Definite Matrices Sadeep Jayasumana, Richard Hartley, Mathieu Salzmann, Hongdong Li, Mehrtash Harandi