Ankit Arun

Publication Activity (10 Years)

Years Active: 2017-2022
Publications (10 Years): 8

Top Topics

Natural Language

Automatic Summarization

Neural Classifier

Top Venues

COLING (Industry)

Publications

Asish Ghoshal, Arash Einolghozati, Ankit Arun, Haoran Li, Lili Yu, Yashar Mehdad, Scott Wen-tau Yih, Asli Celikyilmaz
Improving Faithfulness of Abstractive Summarization by Controlling Confounding Effect of Irrelevant Sentences. CoRR (2022)
Soumya Batra, Shashank Jain, Peyman Heidari, Ankit Arun, Catharine Youngs, Xintong Li, Pinar Donmez, Shawn Mei, Shiunzu Kuo, Vikas Bhardwaj, Anuj Kumar, Michael White
Building Adaptive Acceptability Classifiers for Neural NLG. EMNLP (1) (2021)
Peyman Heidari, Arash Einolghozati, Shashank Jain, Soumya Batra, Lee Callender, Ankit Arun, Shawn Mei, Sonal Gupta, Pinar Donmez, Vikas Bhardwaj, Anuj Kumar, Michael White
Getting to Production with Few-shot Natural Language Generation Models. SIGDIAL (2021)
Ankit Arun, Soumya Batra, Vikas Bhardwaj, Ashwini Challa, Pinar Donmez, Peyman Heidari, Hakan Inan, Shashank Jain, Anuj Kumar, Shawn Mei, Karthik Mohan, Michael White
Best Practices for Data-Efficient Modeling in NLG: How to Train Production-Ready Neural Models with Less Data. COLING (Industry) (2020)
Ankit Arun, Soumya Batra, Vikas Bhardwaj, Ashwini Challa, Pinar Donmez, Peyman Heidari, Hakan Inan, Shashank Jain, Anuj Kumar, Shawn Mei, Karthik Mohan, Michael White
Best Practices for Data-Efficient Modeling in NLG: How to Train Production-Ready Neural Models with Less Data. CoRR (2020)
Ankit Arun, Ignacio Arnaldo
Shooting the moving target: machine learning in cybersecurity. OpML (2019)
Ignacio Arnaldo, Ankit Arun, Sumeeth Kyathanahalli, Kalyan Veeramachaneni
Acquire, adapt, and anticipate: continuous learning to block malicious domains. IEEE BigData (2018)
Ignacio Arnaldo, Alfredo Cuesta-Infante, Ankit Arun, Mei Lam, Costas Bassias, Kalyan Veeramachaneni
Learning Representations for Log Data in Cybersecurity. CSCML (2017)