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Dhanasekar Sundararaman
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2020 – today
- 2022
- [c9]Dhanasekar Sundararaman, Vivek Subramanian, Guoyin Wang, Liyan Xu, Lawrence Carin:
Improving Downstream Task Performance by Treating Numbers as Entities. CIKM 2022: 4535-4539 - [i10]Vivek Subramanian, Dhanasekar Sundararaman:
How do lexical semantics affect translation? An empirical study. CoRR abs/2201.00075 (2022) - [i9]Dhanasekar Sundararaman, Vivek Subramanian, Guoyin Wang, Liyan Xu, Lawrence Carin:
Number Entity Recognition. CoRR abs/2205.03559 (2022) - [i8]Dhanasekar Sundararaman, Vivek Subramanian:
Exploring Gender Bias in Retrieval Models. CoRR abs/2208.01755 (2022) - [i7]Dhanasekar Sundararaman, Nikhil Mehta, Lawrence Carin:
Pseudo-OOD training for robust language models. CoRR abs/2210.09132 (2022) - 2021
- [c8]Dhanasekar Sundararaman, Vivek Subramanian, Guoyin Wang, Shijing Si, Dinghan Shen, Dong Wang, Lawrence Carin:
Syntactic Knowledge-Infused Transformer and BERT Models. CIKM Workshops 2021 - [c7]Dhanasekar Sundararaman, Henry Tsai, Kuang-Huei Lee, Iulia Turc, Lawrence Carin:
Learning Task Sampling Policy for Multitask Learning. EMNLP (Findings) 2021: 4410-4415 - 2020
- [c6]Dhanasekar Sundararaman, Shijing Si, Vivek Subramanian, Guoyin Wang, Devamanyu Hazarika, Lawrence Carin:
Methods for Numeracy-Preserving Word Embeddings. EMNLP (1) 2020: 4742-4753
2010 – 2019
- 2019
- [c5]Dinghan Shen, Pengyu Cheng, Dhanasekar Sundararaman, Xinyuan Zhang, Qian Yang, Meng Tang, Asli Celikyilmaz, Lawrence Carin:
Learning Compressed Sentence Representations for On-Device Text Processing. ACL (1) 2019: 107-116 - [i6]Dinghan Shen, Pengyu Cheng, Dhanasekar Sundararaman, Xinyuan Zhang, Qian Yang, Meng Tang, Asli Celikyilmaz, Lawrence Carin:
Learning Compressed Sentence Representations for On-Device Text Processing. CoRR abs/1906.08340 (2019) - [i5]Dhanasekar Sundararaman, Vivek Subramanian, Guoyin Wang, Shijing Si, Dinghan Shen, Dong Wang, Lawrence Carin:
Syntax-Infused Transformer and BERT models for Machine Translation and Natural Language Understanding. CoRR abs/1911.06156 (2019) - 2018
- [c4]Dhanasekar Sundararaman, Vishwanath Seshagiri, Balaji Ramesh, Priya Arora:
YouTree: A Visualization Paradigm of Statistically and Textually Similar Videos. ICCMS 2018: 123-128 - [c3]Dhanasekar Sundararaman, Priya Arora, Vishwanath Seshagiri:
TweetIT: analyzing topics for Twitter users to garner maximum attention. ICMLSC 2018: 93-97 - 2017
- [c2]Dhanasekar Sundararaman
, Gowtham Ravichandran
, R. Jagadeesh
, Sasirekha Selvakumar
, I. Joe Louis Paul
, Sankaranarayanan Swamynathan
:
Customizable Vehicle Tracking with Intelligent Prediction System. I3E 2017: 298-310 - [c1]Dhanasekar Sundararaman
, Sudharshan Srinivasan
:
Twigraph: Discovering and Visualizing Influential Words Between Twitter Profiles. SocInfo (2) 2017: 329-346 - [i4]Dhanasekar Sundararaman, Sudharshan Srinivasan:
Twigraph: Discovering and Visualizing Influential Words between Twitter Profiles. CoRR abs/1706.05361 (2017) - [i3]Nabarun Pal, Priya Arora, Dhanasekar Sundararaman, Puneet Kohli, Sai Sumanth Palakurthy:
How much is my car worth? A methodology for predicting used cars prices using Random Forest. CoRR abs/1711.06970 (2017) - [i2]Dhanasekar Sundararaman, Nabarun Pal, Aashish Kumar Misraa:
An analysis of non-immigrant work visas in the USA using Machine Learning. CoRR abs/1711.09737 (2017) - [i1]Dhanasekar Sundararaman, Priya Arora, Vishwanath Seshagiri:
TweetIT- Analyzing Topics for Twitter Users to garner Maximum Attention. CoRR abs/1711.10002 (2017)
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last updated on 2025-01-20 22:53 CET by the dblp team
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