AIConfPaper
← Search

Sumegh Roychowdhury

6 accepted papers

2025

Generative or Discriminative? Revisiting Text Classification in the Era of Transformers

Siva Rajesh Kasa, Karan Gupta, Sumegh Roychowdhury, Ashutosh Kumar, Yaswanth Biruduraju, Santhosh Kumar Kasa +4
EMNLP 2025

*The comparison between discriminative and generative classifiers has intrigued researchers since [Efron (1975)’s](https://www.jstor.org/stable/2285453) seminal analysis of logistic regression versus discriminant analysis. While early theoretical work established that generative classifiers exhibit

Cited by 0Source ↗PDF ↗Scholar ↗
2024

Exploring Ordinality in Text Classification: A Comparative Study of Explicit and Implicit Techniques

Siva Rajesh Kasa, Aniket Goel, Karan Gupta, Sumegh Roychowdhury, Pattisapu Priyatam, Anish Bhanushali +1
ACL 2024findings

Ordinal Classification (OC) is a widely encountered challenge in Natural Language Processing (NLP), with applications in various domains such as sentiment analysis, rating prediction, and more. Previous approaches to tackle OC have primarily focused on modifying existing or creating novel loss funct…

Cited by 2Source ↗PDF ↗code ↗Scholar ↗
2022

CRUSH: Contextually Regularized and User anchored Self-supervised Hate speech Detection

Souvic Chakraborty, Parag Dutta, Sumegh Roychowdhury, Animesh Mukherjee
NAACL 2022findings

The last decade has witnessed a surge in the interaction of people through social networking platforms. While there are several positive aspects of these social platforms, their proliferation has led them to become the breeding ground for cyber-bullying and hate speech. Recent advances in NLP have o…

Cited by 9Source ↗PDF ↗code ↗Scholar ↗
2022

Multilingual Abusive Comment Detection at Scale for Indic Languages

Vikram Gupta, Sumegh Roychowdhury, Mithun Das, Somnath Banerjee, Punyajoy Saha, Binny Mathew +2
NeurIPS 2022accept

Social media platforms were conceived to act as online `town squares' where people could get together, share information and communicate with each other peacefully. However, harmful content borne out of bad actors are constantly plaguing these platforms slowly converting them into `mosh pits' where…

Cited by 27Source ↗PDF ↗Scholar ↗
2022

Representation Learning for Conversational Data using Discourse Mutual Information Maximization

Bishal Santra, Sumegh Roychowdhury, Aishik Mandal, Vasu Gurram, Atharva Naik, Manish Gupta +1
NAACL 2022long

Although many pretrained models exist for text or images, there have been relatively fewer attempts to train representations specifically for dialog understanding. Prior works usually relied on finetuned representations based on generic text representation models like BERT or GPT-2. But such languag…

Cited by 10Source ↗PDF ↗code ↗Scholar ↗
2021

Leveraging Post Hoc Context for Faster Learning in Bandit Settings with Applications in Robot-Assisted Feeding

Ethan K. Gordon, Sumegh Roychowdhury, Tapomayukh Bhattacharjee, Kevin Jamieson, Siddhartha S. Srinivasa
ICRA 2021poster

Autonomous robot-assisted feeding requires the ability to acquire a wide variety of food items. However, it is impossible for such a system to be trained on all types of food in existence. Therefore, a key challenge is choosing a manipulation strategy for a previously unseen food item. Previous work…

Cited by 21Source ↗Scholar ↗