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Publication search results
found 127 matches
- 2024
- Nivasini Ananthakrishnan, Stephen Bates, Michael I. Jordan, Nika Haghtalab:
Delegating Data Collection in Decentralized Machine Learning. AISTATS 2024: 478-486 - Nivasini Ananthakrishnan, Tiffany Ding, Mariel A. Werner, Sai Praneeth Karimireddy, Michael I. Jordan:
Privacy Can Arise Endogenously in an Economic System with Learning Agents. CoRR abs/2404.10767 (2024) - 2023
- Tina Esther Trueman, Ashok Kumar J, Jasmine S, Gayathri Ananthakrishnan, Narayanasamy P.:
A Multichannel Convolutional Neural Network for Multilabel Sentiment Classification Using Abilify Oral User Reviews. Informatica (Slovenia) 47(1) (2023) - Uttara Ananthakrishnan, Davide Proserpio, Siddhartha Sharma:
I Hear You: Does Quality Improve with Customer Voice? Mark. Sci. 42(6): 1143-1161 (2023) - Ruby Dass, Manikandan Narayanan, Gayathri Ananthakrishnan, Tamilarasi Kathirvel Murugan, Musiri Kailasanathan Nallakaruppan, Siva Rama Krishnan Somayaji, Kannan Arputharaj, Surbhi Bhatia Khan, Ahlam Almusharraf:
A Cluster-Based Energy-Efficient Secure Optimal Path-Routing Protocol for Wireless Body-Area Sensor Networks. Sensors 23(14): 6274 (2023) - Daniel Karl I. Weidele, Gaetano Rossiello, Gregory Bramble, Abel N. Valente, Sugato Bagchi, Md. Faisal Mahbub Chowdhury, Mauro Martino, Nandana Mihindukulasooriya, Haritha Ananthakrishnan, Hendrik Strobelt, Hima Patel, Alfio Massimiliano Gliozzo, Owen Cornec, Ankush Gupta, Sameep Mehta, Manish Kesarwani, Horst Samulowitz, Oktie Hassanzadeh, Arvind Agarwal, Lisa Amini:
Conversational GUI for Semantic Automation Layer. ISWC (Posters/Demos/Industry) 2023 - Rachana Ananthakrishnan, Josh Bryan, Kyle Chard, Ryan Chard, Kurt McKee, Ada Nikolaidis, Jim Pruyne, Stephen Rosen, Ian T. Foster:
Globus Timers: Scheduling Periodic Data Management Actions on Distributed Research Infrastructure. PEARC 2023: 283-287 - Nickolaus D. Saint, Ryan Chard, Rafael Vescovi, Jim Pruyne, Ben Blaiszik, Rachana Ananthakrishnan, Michael E. Papka, Rick Wagner, Kyle Chard, Ian T. Foster:
Active Research Data Management with the Django Globus Portal Framework. PEARC 2023: 43-51 - Nivasini Ananthakrishnan, Stephen Bates, Michael I. Jordan, Nika Haghtalab:
Delegating Data Collection in Decentralized Machine Learning. CoRR abs/2309.01837 (2023) - 2022
- Nikhita Vedula, Rahul Gupta, Aman Alok, Mukund Sridhar, Shankar Ananthakrishnan:
Advin: Automatically Discovering Novel Domains and Intents from User Text Utterances. ICASSP 2022: 7627-7631 - Jack FitzGerald, Shankar Ananthakrishnan, Konstantine Arkoudas, Davide Bernardi, Abhishek Bhagia, Claudio Delli Bovi, Jin Cao, Rakesh Chada, Amit Chauhan, Luoxin Chen, Anurag Dwarakanath, Satyam Dwivedi, Turan Gojayev, Karthik Gopalakrishnan, Thomas Gueudré, Dilek Hakkani-Tur, Wael Hamza, Jonathan J. Hüser, Kevin Martin Jose, Haidar Khan, Beiye Liu, Jianhua Lu, Alessandro Manzotti, Pradeep Natarajan, Karolina Owczarzak, Gokmen Oz, Enrico Palumbo, Charith Peris, Chandana Satya Prakash, Stephen Rawls, Andy Rosenbaum, Anjali Shenoy, Saleh Soltan, Mukund Harakere Sridhar, Lizhen Tan, Fabian Triefenbach, Pan Wei, Haiyang Yu, Shuai Zheng, Gökhan Tür, Prem Natarajan:
Alexa Teacher Model: Pretraining and Distilling Multi-Billion-Parameter Encoders for Natural Language Understanding Systems. KDD 2022: 2893-2902 - Jack FitzGerald, Shankar Ananthakrishnan, Konstantine Arkoudas, Davide Bernardi, Abhishek Bhagia, Claudio Delli Bovi, Jin Cao, Rakesh Chada, Amit Chauhan, Luoxin Chen, Anurag Dwarakanath, Satyam Dwivedi, Turan Gojayev, Karthik Gopalakrishnan, Thomas Gueudré, Dilek Hakkani-Tur, Wael Hamza, Jonathan J. Hüser, Kevin Martin Jose, Haidar Khan, Beiye Liu, Jianhua Lu, Alessandro Manzotti, Pradeep Natarajan, Karolina Owczarzak, Gokmen Oz, Enrico Palumbo, Charith Peris, Chandana Satya Prakash, Stephen Rawls, Andy Rosenbaum, Anjali Shenoy, Saleh Soltan, Mukund Harakere Sridhar, Liz Tan, Fabian Triefenbach, Pan Wei, Haiyang Yu, Shuai Zheng, Gökhan Tür, Prem Natarajan:
Alexa Teacher Model: Pretraining and Distilling Multi-Billion-Parameter Encoders for Natural Language Understanding Systems. CoRR abs/2206.07808 (2022) - Saleh Soltan, Shankar Ananthakrishnan, Jack FitzGerald, Rahul Gupta, Wael Hamza, Haidar Khan, Charith Peris, Stephen Rawls, Andy Rosenbaum, Anna Rumshisky, Chandana Satya Prakash, Mukund Sridhar, Fabian Triefenbach, Apurv Verma, Gökhan Tür, Prem Natarajan:
AlexaTM 20B: Few-Shot Learning Using a Large-Scale Multilingual Seq2Seq Model. CoRR abs/2208.01448 (2022) - Aman Alok, Rahul Gupta, Shankar Ananthakrishnan:
Design Considerations For Hypothesis Rejection Modules In Spoken Language Understanding Systems. CoRR abs/2211.09711 (2022) - 2021
- Anson Pinhero, Anupama M. L, Vinod P, Corrado Aaron Visaggio, Aneesh N, Abhijith S, AnanthaKrishnan S:
Malware detection employed by visualization and deep neural network. Comput. Secur. 105: 102247 (2021) - A. Sherly Alphonse, K. Shankar, M. J. Jeyasheela Rakkini, S. Ananthakrishnan, Suganya Athisayamani, A. Robert Singh, R. Gobi:
A multi-scale and rotation-invariant phase pattern (MRIPP) and a stack of restricted Boltzmann machine (RBM) with preprocessing for facial expression classification. J. Ambient Intell. Humaniz. Comput. 12(3): 3447-3463 (2021) - Nivasini Ananthakrishnan, Shai Ben-David, Tosca Lechner:
Classification Confidence Scores with Point-wise Guarantees. SafeAI@AAAI 2021 - Sushant Agarwal, Nivasini Ananthakrishnan, Shai Ben-David, Tosca Lechner, Ruth Urner:
Open Problem: Are all VC-classes CPAC learnable? COLT 2021: 4636-4641 - Raghuveer Thirukovalluru, Mukund Sridhar, Dung Thai, Shruti Chanumolu, Nicholas Monath, Sankaranarayanan Ananthakrishnan, Andrew McCallum:
Knowledge Informed Semantic Parsing for Conversational Question Answering. RepL4NLP@ACL-IJCNLP 2021: 231-240 - Nivasini Ananthakrishnan, Shai Ben-David, Tosca Lechner, Ruth Urner:
Identifying regions of trusted predictions. UAI 2021: 2125-2134 - Charanraj Thimmisetty, Praveen Tiwari, Didac Gil de la Iglesia, Nandini Ramanan, Marjorie Sayer, Viswesh Ananthakrishnan, Claudionor José Nunes Coelho Jr.:
Log2NS: Enhancing Deep Learning Based Analysis of Logs With Formal to Prevent Survivorship Bias. CoRR abs/2105.14149 (2021) - Tosca Lechner, Shai Ben-David, Sushant Agarwal, Nivasini Ananthakrishnan:
Impossibility results for fair representations. CoRR abs/2107.03483 (2021) - 2020
- Aaron Sonabend W., Winston Cai, Yuri Ahuja, Ashwin N. Ananthakrishnan, Zongqi Xia, Sheng Yu, Chuan Hong:
Automated ICD coding via unsupervised knowledge integration (UNITE). Int. J. Medical Informatics 139: 104135 (2020) - Uttara M. Ananthakrishnan, Beibei Li, Michael D. Smith:
A Tangled Web: Should Online Review Portals Display Fraudulent Reviews? Inf. Syst. Res. 31(3): 950-971 (2020) - S. Ananthakrishnan, Mohit P. Tahiliani, Deepaknath Tandur, Hariram Satheesh:
Group based Publisher-Subscriber Communication Primitives for ndnSIM. IEEE ANTS 2020: 1-6 - Sushant Agarwal, Nivasini Ananthakrishnan, Shai Ben-David, Tosca Lechner, Ruth Urner:
On Learnability wih Computable Learners. ALT 2020: 48-60 - Aman Alok, Rahul Gupta, Shankar Ananthakrishnan:
Design Considerations for Hypothesis Rejection Modules in Spoken Language Understanding Systems. ICASSP 2020: 8049-8053 - Uttara Ananthakrishnan, Davide Proserpio, Siddhartha Sharma:
Does Quality Improve with Customer Voice? Evidence from the Hotel Industry. EC 2020: 461 - Jason Alt, Rachana Ananthakrishnan, Kyle Chard, Ryan Chard, Ian T. Foster, Lee Liming, Steven Tuecke:
OAuth SSH with Globus Auth. PEARC 2020: 34-40 - Rachana Ananthakrishnan, Kyle Chard, Mike D'Arcy, Ian T. Foster, Carl Kesselman, Brendan McCollam, Jim Pruyne, Philippe Rocca-Serra, Robert Schuler, Rick Wagner:
An Open Ecosystem for Pervasive Use of Persistent Identifiers. PEARC 2020: 99-105
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