Picture for Anil Ramakrishna

Anil Ramakrishna

Federated Learning with Noisy User Feedback

May 06, 2022
Rahul Sharma, Anil Ramakrishna, Ansel MacLaughlin, Anna Rumshisky, Jimit Majmudar, Clement Chung, Salman Avestimehr, Rahul Gupta

Figure 1 for Federated Learning with Noisy User Feedback

Figure 2 for Federated Learning with Noisy User Feedback

Figure 3 for Federated Learning with Noisy User Feedback

Figure 4 for Federated Learning with Noisy User Feedback

* Accepted to appear in NAACL 2022

Access Paper or Ask Questions

Towards Realistic Single-Task Continuous Learning Research for NER

Oct 27, 2021
Justin Payan, Yuval Merhav, He Xie, Satyapriya Krishna, Anil Ramakrishna, Mukund Sridhar, Rahul Gupta

Figure 1 for Towards Realistic Single-Task Continuous Learning Research for NER

Figure 2 for Towards Realistic Single-Task Continuous Learning Research for NER

Figure 3 for Towards Realistic Single-Task Continuous Learning Research for NER

Figure 4 for Towards Realistic Single-Task Continuous Learning Research for NER

* 11 pages, 2 figures, Findings of the 2021 Conference on Empirical Methods in Natural Language Processing (EMNLP) (short paper), November 2021

Access Paper or Ask Questions

Sentence level estimation of psycholinguistic norms using joint multidimensional annotations

May 20, 2020
Anil Ramakrishna, Shrikanth Narayanan

Figure 1 for Sentence level estimation of psycholinguistic norms using joint multidimensional annotations

Figure 2 for Sentence level estimation of psycholinguistic norms using joint multidimensional annotations

Figure 3 for Sentence level estimation of psycholinguistic norms using joint multidimensional annotations

Figure 4 for Sentence level estimation of psycholinguistic norms using joint multidimensional annotations

* 5 pages, 4 figures, submitted to Interspeech 2020

Access Paper or Ask Questions

Joint Multi-Dimensional Model for Global and Time-Series Annotations

May 06, 2020
Anil Ramakrishna, Rahul Gupta, Shrikanth Narayanan

Figure 1 for Joint Multi-Dimensional Model for Global and Time-Series Annotations

Figure 2 for Joint Multi-Dimensional Model for Global and Time-Series Annotations

Figure 3 for Joint Multi-Dimensional Model for Global and Time-Series Annotations

Figure 4 for Joint Multi-Dimensional Model for Global and Time-Series Annotations

* 17 pages, 11 figures, currently in final rounds of review at IEEE Transactions of Affective Computing

Access Paper or Ask Questions