Pushkar Mishra
13 papers · 2018–2025 · 7 venues · across top CS/AI venues
Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.
Achievements
Jump to papers ↓+6 more ↓ Show less ↑
πΊοΈ Taxonomy Completionist (32) π Academic Marathon Β· Sprint π Conference Polyglot Β· Silver π Interdisciplinary Bridge Β· Bronze π£ Hot Topic Early Bird
π§¬
Topic Evolution
π
Keyword Champion
π€
Dynamic Duo
(11)
ποΈ
Keyword Collector
(60)
π
Century Club Β· Bronze
π₯
Unstoppable Β· Bronze
Top co-authors
Research topics
Machine Learning
(11)
Artificial Intelligence
(9)
Deep Learning
(7)
Core Methods
(7)
Natural Language Processing
(5)
Core AI
(5)
Applications
(4)
Architectures
(4)
Learning Paradigms Β· Artificial Intelligence
(4)
Learning Types Β· Machine Learning
(4)
Learning Types Β· Deep Learning
(3)
Application Areas
(2)
Interdisciplinary
(1)
Knowledge & Reasoning
(1)
Learning Paradigms Β· Machine Learning
(1)
Keywords
text classification
(4)
community detection
(3)
abusive language detection
(3)
offensive language detection
(2)
user modeling
(2)
sentiment analysis
(2)
abuse detection
(2)
graph neural network
(2)
few-shot learning
(2)
fine-grained classification
(1)
semantic analysis
(1)
emotion recognition
(1)
natural language processing
(1)
social media analysis
(1)
transfer learning
(1)
message passing
(1)
affective computing
(1)
word sense disambiguation
(1)
graph embedding
(1)
emotion detection
(1)
Papers
Value Profiles for Encoding Human Variation
EMNLP 2025
A (More) Realistic Evaluation Setup for Generalisation of Community Models on Malicious Content Detection
NAACL 2024
ReFactor GNNs: Revisiting Factorisation-based Models from a Message-Passing Perspective
NeurIPS 2022
Scientific and Creative Analogies in Pretrained Language Models
EMNLP 2022
Modeling Users and Online Communities for Abuse Detection: A Position on Ethics and Explainability
EMNLP 2021
Multilingual and cross-lingual document classification: A meta-learning approach
EACL 2021
Ruddit: Norms of Offensiveness for English Reddit Comments
ACL 2021
Joint Modelling of Emotion and Abusive Language Detection
ACL 2020
Learning to Learn to Disambiguate: Meta-Learning for Few-Shot Word Sense Disambiguation
EMNLP 2020
Abusive Language Detection with Graph Convolutional Networks
NAACL 2019
CAMsterdam at SemEval-2019 Task 6: Neural and graph-based feature extraction for the identification of offensive tweets
SemEval 2019
Author Profiling for Abuse Detection
COLING 2018
Neural Character-based Composition Models for Abuse Detection
EMNLP 2018