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Hemanth Venkateswara

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Domain Adaptation Using Pseudo Labels

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Feb 09, 2024
Sachin Chhabra, Hemanth Venkateswara, Baoxin Li

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Domain-Invariant Feature Alignment Using Variational Inference For Partial Domain Adaptation

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Dec 03, 2022
Sandipan Choudhuri, Suli Adeniye, Arunabha Sen, Hemanth Venkateswara

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PatchRot: A Self-Supervised Technique for Training Vision Transformers

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Oct 27, 2022
Sachin Chhabra, Prabal Bijoy Dutta, Hemanth Venkateswara, Baoxin Li

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Coupling Adversarial Learning with Selective Voting Strategy for Distribution Alignment in Partial Domain Adaptation

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Jul 17, 2022
Sandipan Choudhuri, Hemanth Venkateswara, Arunabha Sen

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Sparsity Regularization For Cold-Start Recommendation

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Jan 28, 2022
Aksheshkumar Ajaykumar Shah, Hemanth Venkateswara

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Partial Domain Adaptation Using Selective Representation Learning For Class-Weight Computation

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Jan 06, 2021
Sandipan Choudhuri, Riti Paul, Arunabha Sen, Baoxin Li, Hemanth Venkateswara

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Leveraging Seen and Unseen Semantic Relationships for Generative Zero-Shot Learning

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Jul 19, 2020
Maunil R Vyas, Hemanth Venkateswara, Sethuraman Panchanathan

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Representation, Exploration and Recommendation of Music Playlists

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Jul 01, 2019
Piyush Papreja, Hemanth Venkateswara, Sethuraman Panchanathan

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A Strategy for an Uncompromising Incremental Learner

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Jul 17, 2017
Ragav Venkatesan, Hemanth Venkateswara, Sethuraman Panchanathan, Baoxin Li

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Efficient Approximate Solutions to Mutual Information Based Global Feature Selection

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Jun 23, 2017
Hemanth Venkateswara, Prasanth Lade, Binbin Lin, Jieping Ye, Sethuraman Panchanathan

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