Aniket Anand Deshmukh

According to our database, Aniket Anand Deshmukh authored at least 24 papers between 2013 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Timely, Efficient, and Accurate Branch Precomputation.

Aniket Anand Deshmukh, Lingzhe Chester Cai, Yale N. Patt

Proceedings of the 57th IEEE/ACM International Symposium on Microarchitecture, 2024

First Workshop on Generative AI for Recommender Systems and Personalization.

Narges Tabari, Aniket Anand Deshmukh, Wang-Cheng Kang, Hamed Zamani, Rashmi Gangadharaiah, Julian J. McAuley, George Karypis

Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024

Alternate Path Fetch.

Aniket Anand Deshmukh, Lingzhe Chester Cai, Yale N. Patt

Proceedings of the 51st ACM/IEEE Annual International Symposium on Computer Architecture, 2024

2023

Foreword for Workshop on Decision Making for Information Retrieval and Recommender Systems.

Da Xu, Tobias Schnabel, Xiquan Cui, Sarah Dean, Aniket Anand Deshmukh, Bo Yang, Shipeng Yu

Proceedings of the Companion Proceedings of the ACM Web Conference 2023, 2023

2022

Representation learning for clustering via building consensus.

Aniket Anand Deshmukh, Jayanth Reddy Regatti, Eren Manavoglu, Ürün Dogan

Mach. Learn., 2022

2021

Domain Generalization by Marginal Transfer Learning.

Gilles Blanchard, Aniket Anand Deshmukh, Ürün Dogan, Gyemin Lee, Clayton Scott

J. Mach. Learn. Res., 2021

Offline RL With Resource Constrained Online Deployment.

Jayanth Reddy Regatti, Aniket Anand Deshmukh, Frank Cheng, Young Hun Jung, Abhishek Gupta, Ürün Dogan

CoRR, 2021

An efficient reverse-lookup table based strategy for solving the synonym and cache coherence problem in virtually indexed, virtually tagged caches.

Madhav P. Desai, Aniket Anand Deshmukh

CoRR, 2021

On Challenges in Unsupervised Domain Generalization.

Vaasudev Narayanan, Aniket Anand Deshmukh, Ürün Dogan, Vineeth N. Balasubramanian

Proceedings of the NeurIPS 2021 Workshop on Pre-Registration in Machine Learning, 2021

Criticality Driven Fetch.

Aniket Anand Deshmukh, Yale N. Patt

Proceedings of the MICRO '21: 54th Annual IEEE/ACM International Symposium on Microarchitecture, 2021

Performance Characterization of .NET Benchmarks.

Aniket Anand Deshmukh, Ruihao Li, Rathijit Sen, Robert R. Henry, Monica Beckwith, Gagan Gupta

Proceedings of the IEEE International Symposium on Performance Analysis of Systems and Software, 2021

Consensus Clustering With Unsupervised Representation Learning.

Jayanth Reddy Regatti, Aniket Anand Deshmukh, Eren Manavoglu, Ürün Dogan

Proceedings of the International Joint Conference on Neural Networks, 2021

2020

Self-Supervised Contextual Bandits in Computer Vision.

Aniket Anand Deshmukh, Abhimanu Kumar, Levi Boyles, Denis Charles, Eren Manavoglu, Ürün Dogan

CoRR, 2020

Data Transformation Insights in Self-supervision with Clustering Tasks.

Abhimanu Kumar, Aniket Anand Deshmukh, Ürün Dogan, Denis Charles, Eren Manavoglu

CoRR, 2020

Head and Tail Localization of C. elegans.

Mansi Ranjit Mane, Aniket Anand Deshmukh, Adam J. Iliff

CoRR, 2020

Label-Similarity Curriculum Learning.

Ürün Dogan, Aniket Anand Deshmukh, Marcin Machura, Christian Igel

Proceedings of the Computer Vision - ECCV 2020, 2020

Zero-Shot Domain Generalization.

Udit Maniyar, K. J. Joseph, Aniket Anand Deshmukh, Ürün Dogan, Vineeth N. Balasubramanian

Proceedings of the 31st British Machine Vision Conference 2020, 2020

2019

PAC Reinforcement Learning without Real-World Feedback.

Yuren Zhong, Aniket Anand Deshmukh, Clayton Scott

CoRR, 2019

A Generalization Error Bound for Multi-class Domain Generalization.

Aniket Anand Deshmukh, Yunwen Lei, Srinagesh Sharma, Ürün Dogan, James W. Cutler, Clayton Scott

CoRR, 2019

2018

Simple Regret Minimization for Contextual Bandits.

Aniket Anand Deshmukh, Srinagesh Sharma, James W. Cutler, Mark Moldwin, Clayton Scott

CoRR, 2018

Domain2Vec: Deep Domain Generalization.

Aniket Anand Deshmukh, Ankit Bansal, Akash Rastogi

CoRR, 2018

Semi-Supervised Transfer Learning Using Marginal Predictors.

Aniket Anand Deshmukh, Emil Laftchiev

Proceedings of the 2018 IEEE Data Science Workshop, 2018

2017

Multi-Task Learning for Contextual Bandits.

Aniket Anand Deshmukh, Ürün Dogan, Clayton Scott

Proceedings of the Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 2017

2013

Input-Output Logic based Fault-Tolerant Design Technique for SRAM-based FPGAs.

Aditya Srinivas Timmaraju, Aniket Anand Deshmukh, Mohammed Amir Khan, Zafar Ali Khan

CoRR, 2013