Pankaj Gupta
24 papers · 2016–2025 · 10 venues · across top CS/AI venues
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Achievements
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🗺️ Taxonomy Completionist (47) 🏃 Academic Marathon · Sprint 🌍 Conference Polyglot · Gold 🌉 Interdisciplinary Bridge · Gold 🐣 Hot Topic Early Bird
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Dynamic Duo
(14)
🏆
Keyword Champion
(2)
🌈
Renaissance Researcher
(5)
🔥
Unstoppable · Bronze
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Prolific Year · Productive
🚀
Conference Pioneer
💎
Century Club · Bronze
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Trend Setter
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Keyword Collector
(97)
Venues
Top co-authors
Research topics
Machine Learning
(17)
Deep Learning
(11)
Natural Language Processing
(10)
Architectures
(9)
Learning Types
(9)
Artificial Intelligence
(8)
Core Methods
(8)
Applications
(7)
Core AI
(5)
Application Areas
(4)
Computer Vision
(2)
Healthcare & Medicine
(2)
Domain-Specific
(2)
Learning Paradigms
(2)
Models
(2)
Keywords
multi-task learning
(4)
recurrent neural network
(4)
topic model
(4)
topic coherence
(3)
domain adaptation
(3)
relation extraction
(3)
named entity recognition
(3)
neural topic modeling
(2)
language model
(2)
word embedding
(2)
knowledge transfer
(2)
text classification
(2)
adversarial learning
(2)
gallbladder cancer detection
(2)
medical imaging
(2)
neural autoregressive model
(2)
document classification
(2)
support vector machine
(2)
object detection
(1)
curriculum learning
(1)
Papers
Focus on Texture: Rethinking Pre-training in Masked Autoencoders for Medical Image Classification
MICCAI 2025
LQ-Adapter: ViT-Adapter with Learnable Queries for Gallbladder Cancer Detection from Ultrasound Images
WACV 2025
SEPSIS: I Can Catch Your Lies – A New Paradigm for Deception Detection
ACL 2025
FocusMAE: Gallbladder Cancer Detection from Ultrasound Videos with Focused Masked Autoencoders
CVPR 2024
An Emotion-Guided Approach to Domain Adaptive Fake News Detection Using Adversarial Learning (Student Abstract)
AAAI 2023
Transformer-Based Named Entity Recognition for French Using Adversarial Adaptation to Similar Domain Corpora (Student Abstract)
AAAI 2023
Federated Continual Learning for Text Classification via Selective Inter-client Transfer
EMNLP 2022
Surpassing the Human Accuracy: Detecting Gallbladder Cancer From USG Images With Curriculum Learning
CVPR 2022
Multi-source Neural Topic Modeling in Multi-view Embedding Spaces
NAACL 2021
Explainable and Discourse Topic-aware Neural Language Understanding
ICML 2020
Neural Topic Modeling with Continual Lifelong Learning
ICML 2020
TopicBERT for Energy Efficient Document Classification
EMNLP 2020
BioNLP-OST 2019 RDoC Tasks: Multi-grain Neural Relevance Ranking Using Topics and Attention Based Query-Document-Sentence Interactions
EMNLP 2019
Document Informed Neural Autoregressive Topic Models with Distributional Prior
AAAI 2019
Linguistically Informed Relation Extraction and Neural Architectures for Nested Named Entity Recognition in BioNLP-OST 2019
EMNLP 2019
Neural Architectures for Fine-Grained Propaganda Detection in News
EMNLP 2019
Neural Relation Extraction within and across Sentence Boundaries
AAAI 2019
textTOvec: DEEP CONTEXTUALIZED NEURAL AUTOREGRESSIVE TOPIC MODELS OF LANGUAGE WITH DISTRIBUTED COMPOSITIONAL PRIOR
ICLR 2019
Deep Temporal-Recurrent-Replicated-Softmax for Topical Trends over Time
NAACL 2018
Joint Bootstrapping Machines for High Confidence Relation Extraction
NAACL 2018
LISA: Explaining Recurrent Neural Network Judgments via Layer-wIse Semantic Accumulation and Example to Pattern Transformation
EMNLP 2018
Replicated Siamese LSTM in Ticketing System for Similarity Learning and Retrieval in Asymmetric Texts
COLING 2018
Combining Recurrent and Convolutional Neural Networks for Relation Classification
NAACL 2016
Table Filling Multi-Task Recurrent Neural Network for Joint Entity and Relation Extraction
COLING 2016