activity
20172021
most citedDeep Learning for Hate Speech Detection in Tweets

838 citations · 943 across the 8 of their papers we have counts for

collaborators

9 papers

cs.MA2021

Status-quo policy gradient in Multi-Agent Reinforcement Learning

Pinkesh Badjatiya, Mausoom Sarkar, Nikaash Puri +4

Individual rationality, which involves maximizing expected individual returns, does not always lead to high-utility individual or group outcomes in multi-agent problems. For instan…

cs.LG2020

SHERLock: Self-Supervised Hierarchical Event Representation Learning

Sumegh Roychowdhury, Sumedh A. Sontakke, Nikaash Puri +5

Temporal event representations are an essential aspect of learning among humans. They allow for succinct encoding of the experiences we have through a variety of sensory inputs. Al…

cs.LG2020★ 5 cited

MixBoost: Synthetic Oversampling with Boosted Mixup for Handling Extreme Imbalance

Anubha Kabra, Ayush Chopra, Nikaash Puri +4

Training a classification model on a dataset where the instances of one class outnumber those of the other class is a challenging problem. Such imbalanced datasets are standard in…

cs.CV2020★ 1 cited

SAC: Semantic Attention Composition for Text-Conditioned Image Retrieval

Surgan Jandial, Pinkesh Badjatiya, Pranit Chawla +3

The ability to efficiently search for images is essential for improving the user experiences across various products. Incorporating user feedback, via multi-modal inputs, to naviga…

cs.AI2020★ 1 cited

Inducing Cooperative behaviour in Sequential-Social dilemmas through Multi-Agent Reinforcement Learning using Status-Quo Loss

Pinkesh Badjatiya, Mausoom Sarkar, Abhishek Sinha +4

In social dilemma situations, individual rationality leads to sub-optimal group outcomes. Several human engagements can be modeled as a sequential (multi-step) social dilemmas. How…

cs.CL2020★ 94 cited

Stereotypical Bias Removal for Hate Speech Detection Task using Knowledge-based Generalizations

Pinkesh Badjatiya, Manish Gupta, Vasudeva Varma

With the ever-increasing cases of hate spread on social media platforms, it is critical to design abuse detection mechanisms to proactively avoid and control such incidents. While…

cs.CL2019★ 1 cited

Multi-label Categorization of Accounts of Sexism using a Neural Framework

Pulkit Parikh, Harika Abburi, Pinkesh Badjatiya +4

Sexism, an injustice that subjects women and girls to enormous suffering, manifests in blatant as well as subtle ways. In the wake of growing documentation of experiences of sexism…

cs.LG2018★ 3 cited

Attention-based Neural Text Segmentation

Pinkesh Badjatiya, Litton J Kurisinkel, Manish Gupta +1

Text segmentation plays an important role in various Natural Language Processing (NLP) tasks like summarization, context understanding, document indexing and document noise removal…

cs.CL2017★ 838 cited

Deep Learning for Hate Speech Detection in Tweets

Pinkesh Badjatiya, Shashank Gupta, Manish Gupta +1

Hate speech detection on Twitter is critical for applications like controversial event extraction, building AI chatterbots, content recommendation, and sentiment analysis. We defin…