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ORCIDAniket Anand Deshmukh
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Journal Articles
- 2022
[j2]Aniket Anand Deshmukh
, Jayanth Reddy Regatti, Eren Manavoglu, Ürün Dogan:
Representation learning for clustering via building consensus. Mach. Learn. 111(12): 4601-4638 (2022)- 2021
- [j1]Gilles Blanchard, Aniket Anand Deshmukh, Ürün Dogan, Gyemin Lee, Clayton Scott:
Domain Generalization by Marginal Transfer Learning. J. Mach. Learn. Res. 22: 2:1-2:55 (2021)
Conference and Workshop Papers
- 2024
- [c11]Aniket Anand Deshmukh, Lingzhe Chester Cai, Yale N. Patt:
Alternate Path Fetch. ISCA 2024: 1217-1229 - [c10]Narges Tabari, Aniket Anand Deshmukh, Wang-Cheng Kang, Hamed Zamani, Rashmi Gangadharaiah, Julian J. McAuley, George Karypis:
First Workshop on Generative AI for Recommender Systems and Personalization. KDD 2024: 6737-6738 - 2023
- [c9]Da Xu, Tobias Schnabel, Xiquan Cui, Sarah Dean, Aniket Anand Deshmukh, Bo Yang, Shipeng Yu:
Foreword for Workshop on Decision Making for Information Retrieval and Recommender Systems. WWW (Companion Volume) 2023: 920 - 2021
- [c8]Jayanth Reddy Regatti, Aniket Anand Deshmukh, Eren Manavoglu, Ürün Dogan:
Consensus Clustering With Unsupervised Representation Learning. IJCNN 2021: 1-9 - [c7]Aniket Anand Deshmukh, Ruihao Li, Rathijit Sen, Robert R. Henry, Monica Beckwith, Gagan Gupta:
Performance Characterization of .NET Benchmarks. ISPASS 2021: 107-117 - [c6]Aniket Anand Deshmukh, Yale N. Patt:
Criticality Driven Fetch. MICRO 2021: 380-391 - [c5]Vaasudev Narayanan, Aniket Anand Deshmukh, Ürün Dogan, Vineeth N. Balasubramanian:
On Challenges in Unsupervised Domain Generalization. Pre-Registration Workshop @ NeurIPS 2021: 42-58 - 2020
- [c4]Udit Maniyar, K. J. Joseph, Aniket Anand Deshmukh, Ürün Dogan, Vineeth N. Balasubramanian:
Zero-Shot Domain Generalization. BMVC 2020 - [c3]Ürün Dogan, Aniket Anand Deshmukh, Marcin Machura, Christian Igel:
Label-Similarity Curriculum Learning. ECCV (29) 2020: 174-190 - 2018
- [c2]Aniket Anand Deshmukh, Emil Laftchiev:
Semi-Supervised Transfer Learning Using Marginal Predictors. DSW 2018: 160-164 - 2017
- [c1]Aniket Anand Deshmukh, Ürün Dogan, Clayton Scott:
Multi-Task Learning for Contextual Bandits. NIPS 2017: 4848-4856
Informal and Other Publications
- 2021
- [i15]Aniket Anand Deshmukh, Jayanth Reddy Regatti, Eren Manavoglu, Ürün Dogan:
Representation Learning for Clustering via Building Consensus. CoRR abs/2105.01289 (2021) - [i14]Madhav P. Desai, Aniket Anand Deshmukh:
An efficient reverse-lookup table based strategy for solving the synonym and cache coherence problem in virtually indexed, virtually tagged caches. CoRR abs/2108.00444 (2021) - [i13]Jayanth Reddy Regatti, Aniket Anand Deshmukh, Frank Cheng, Young Hun Jung, Abhishek Gupta, Ürün Dogan:
Offline RL With Resource Constrained Online Deployment. CoRR abs/2110.03165 (2021) - 2020
- [i12]Mansi Ranjit Mane, Aniket Anand Deshmukh, Adam J. Iliff:
Head and Tail Localization of C. elegans. CoRR abs/2001.03981 (2020) - [i11]Abhimanu Kumar, Aniket Anand Deshmukh, Ürün Dogan, Denis Charles, Eren Manavoglu:
Data Transformation Insights in Self-supervision with Clustering Tasks. CoRR abs/2002.07384 (2020) - [i10]Aniket Anand Deshmukh, Abhimanu Kumar, Levi Boyles, Denis Charles, Eren Manavoglu, Ürün Dogan:
Self-Supervised Contextual Bandits in Computer Vision. CoRR abs/2003.08485 (2020) - [i9]Udit Maniyar, K. J. Joseph, Aniket Anand Deshmukh, Ürün Dogan, Vineeth N. Balasubramanian:
Zero Shot Domain Generalization. CoRR abs/2008.07443 (2020) - [i8]Jayanth Reddy Regatti, Aniket Anand Deshmukh, Eren Manavoglu, Ürün Dogan:
Consensus Clustering with Unsupervised Representation Learning. CoRR abs/2010.01245 (2020) - 2019
- [i7]Aniket Anand Deshmukh, Yunwen Lei, Srinagesh Sharma, Ürün Dogan, James W. Cutler, Clayton Scott:
A Generalization Error Bound for Multi-class Domain Generalization. CoRR abs/1905.10392 (2019) - [i6]Yuren Zhong, Aniket Anand Deshmukh, Clayton Scott:
PAC Reinforcement Learning without Real-World Feedback. CoRR abs/1909.10449 (2019) - [i5]Ürün Dogan, Aniket Anand Deshmukh, Marcin Machura, Christian Igel:
Label-similarity Curriculum Learning. CoRR abs/1911.06902 (2019) - 2018
- [i4]Aniket Anand Deshmukh, Ankit Bansal, Akash Rastogi:
Domain2Vec: Deep Domain Generalization. CoRR abs/1807.02919 (2018) - [i3]Aniket Anand Deshmukh, Srinagesh Sharma, James W. Cutler, Mark Moldwin, Clayton Scott:
Simple Regret Minimization for Contextual Bandits. CoRR abs/1810.07371 (2018) - 2017
- [i2]Aniket Anand Deshmukh, Ürün Dogan, Clayton Scott:
Multi-Task Learning for Contextual Bandits. CoRR abs/1705.08618 (2017) - 2013
- [i1]Aditya Srinivas Timmaraju, Aniket Anand Deshmukh, Mohammed Amir Khan, Zafar Ali Khan:
Input-Output Logic based Fault-Tolerant Design Technique for SRAM-based FPGAs. CoRR abs/1311.0602 (2013)
Coauthor Index
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