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Sadeep Jayasumana

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SPEGTI: Structured Prediction for Efficient Generative Text-to-Image Models

Aug 14, 2023
Sadeep Jayasumana, Daniel Glasner, Srikumar Ramalingam, Andreas Veit, Ayan Chakrabarti, Sanjiv Kumar

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EmbedDistill: A Geometric Knowledge Distillation for Information Retrieval

Jan 27, 2023
Seungyeon Kim, Ankit Singh Rawat, Manzil Zaheer, Sadeep Jayasumana, Veeranjaneyulu Sadhanala, Wittawat Jitkrittum, Aditya Krishna Menon, Rob Fergus, Sanjiv Kumar

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When does mixup promote local linearity in learned representations?

Oct 28, 2022
Arslan Chaudhry, Aditya Krishna Menon, Andreas Veit, Sadeep Jayasumana, Srikumar Ramalingam, Sanjiv Kumar

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Disentangling Sampling and Labeling Bias for Learning in Large-Output Spaces

May 12, 2021
Ankit Singh Rawat, Aditya Krishna Menon, Wittawat Jitkrittum, Sadeep Jayasumana, Felix X. Yu, Sashank Reddi, Sanjiv Kumar

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Balancing Constraints and Submodularity in Data Subset Selection

Apr 26, 2021
Srikumar Ramalingam, Daniel Glasner, Kaushal Patel, Raviteja Vemulapalli, Sadeep Jayasumana, Sanjiv Kumar

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Kernelized Classification in Deep Networks

Dec 08, 2020
Sadeep Jayasumana, Srikumar Ramalingam, Sanjiv Kumar

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Long-tail learning via logit adjustment

Jul 14, 2020
Aditya Krishna Menon, Sadeep Jayasumana, Ankit Singh Rawat, Himanshu Jain, Andreas Veit, Sanjiv Kumar

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Bipartite Conditional Random Fields for Panoptic Segmentation

Dec 11, 2019
Sadeep Jayasumana, Kanchana Ranasinghe, Mayuka Jayawardhana, Sahan Liyanaarachchi, Harsha Ranasinghe

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Prototypical Priors: From Improving Classification to Zero-Shot Learning

Apr 25, 2018
Saumya Jetley, Bernardino Romera-Paredes, Sadeep Jayasumana, Philip Torr

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Higher Order Conditional Random Fields in Deep Neural Networks

Jul 29, 2016
Anurag Arnab, Sadeep Jayasumana, Shuai Zheng, Philip Torr

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