Shubham Gupta
17 papers · 2017–2025 · 9 venues · across top CS/AI venues
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Achievements
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πΊοΈ Taxonomy Completionist (52) π Academic Marathon Β· Sprint π Conference Polyglot Β· Silver π Interdisciplinary Bridge Β· Bronze π£ Hot Topic Early Bird
ποΈ
Keyword Collector
(104)
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Conference Pioneer
π₯
Unstoppable Β· Bronze
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Prolific Year Β· Productive
π
Century Club Β· Bronze
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Renaissance Researcher
(8)
Venues
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Research topics
Machine Learning
(13)
Core Methods
(9)
Learning Types Β· Machine Learning
(9)
Artificial Intelligence
(8)
Deep Learning
(8)
Core AI
(7)
Natural Language Processing
(5)
Architectures
(5)
Learning Types Β· Deep Learning
(4)
Models
(4)
Applications Β· Natural Language Processing
(3)
Data Science & Analytics
(2)
Speech & Audio
(2)
Applications Β· Data Science & Analytics
(2)
Optimization & Theory
(2)
Keywords
text generation
(2)
graph neural network
(2)
link prediction
(2)
generative model
(2)
inductive learning
(2)
large language model
(2)
dynamic network
(2)
multi-task learning
(1)
metric learning
(1)
representation learning
(1)
feature extraction
(1)
graph theory
(1)
preference learning
(1)
attention mechanism
(1)
anomaly detection
(1)
ai-generated content
(1)
variational inference
(1)
question answering
(1)
information extraction
(1)
spectral clustering
(1)
Papers
Cross-Aligned Fusion for Multimodal Understanding
WACV 2025
Know Your RAG: Dataset Taxonomy and Generation Strategies for Evaluating RAG Systems
COLING 2025
LAST SToP for Modeling Asynchronous Time Series
ICML 2025
LiSTEN: Learning Soft Token Embeddings for Neural Audio LLMs
Interspeech 2025
Mirror Minds : An Empirical Study on Detecting LLM-Generated Text via LLMs
COLING 2025
Clustering Items From Adaptively Collected Inconsistent Feedback
AISTATS 2024
Phoneme Discretized Saliency Maps for Explainable Detection of AI-Generated Voice
Interspeech 2024
Statements: Universal Information Extraction from Tables with Large Language Models for ESG KPIs
ACL 2024
Far3Det: Towards Far-Field 3D Detection
WACV 2023
GRAFENNE: Learning on Graphs with Heterogeneous and Dynamic Feature Sets
ICML 2023
Consistency of Constrained Spectral Clustering under Graph Induced Fair Planted Partitions
NeurIPS 2022
Optimal and Efficient Dynamic Regret Algorithms for Non-Stationary Dueling Bandits
ICML 2022
TIGGER: Scalable Generative Modelling for Temporal Interaction Graphs
AAAI 2022
Active2 Learning: Actively reducing redundancies in Active Learning methods for Sequence Tagging and Machine Translation
NAACL 2021
Neural Latent Space Model for Dynamic Networks and Temporal Knowledge Graphs
AAAI 2021
A Generative Model for Dynamic Networks with Applications
AAAI 2019
Attentive Recurrent Comparators
ICML 2017