Shubham Gupta
16 papers · 2017–2025 · 9 conferences · across top CS/AI conferences
Achievements
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π Interdisciplinary Bridge π£ Hot Topic Early Bird πΊοΈ Taxonomy Completionist (12) π§ Keyword Pioneer π Conference Polyglot (9)
π£
Hot Topic Early Bird
π
Interdisciplinary Bridge
π
Conference Polyglot
(9)
ποΈ
Keyword Collector
(95)
π
Trend Setter
π
Century Club
(16)
π₯
Unstoppable
(5)
π
Conference Pioneer
Conferences
ICML (4)
AAAI (3)
COLING (2)
WACV (2)
ACL (1)
AISTATS (1)
INTERSPEECH (1)
NAACL (1)
NIPS (1)
Top co-authors
Keywords
text generation
(2)
dynamic network
(2)
inductive learning
(2)
link prediction
(2)
generative model
(2)
graph neural network
(2)
metric learning
(1)
graph theory
(1)
active learning
(1)
feature extraction
(1)
variational inference
(1)
preference learning
(1)
attention mechanism
(1)
machine translation
(1)
continual learning
(1)
ai-generated content
(1)
question answering
(1)
spectral clustering
(1)
named entity recognition
(1)
information extraction
(1)
Papers
Mirror Minds : An Empirical Study on Detecting LLM-Generated Text via LLMs
COLING 2025
LAST SToP for Modeling Asynchronous Time Series
ICML 2025
Know Your RAG: Dataset Taxonomy and Generation Strategies for Evaluating RAG Systems
COLING 2025
Cross-Aligned Fusion for Multimodal Understanding
WACV 2025
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
Clustering Items From Adaptively Collected Inconsistent Feedback
AISTATS 2024
GRAFENNE: Learning on Graphs with Heterogeneous and Dynamic Feature Sets
ICML 2023
Far3Det: Towards Far-Field 3D Detection
WACV 2023
Consistency of Constrained Spectral Clustering under Graph Induced Fair Planted Partitions
NIPS 2022
TIGGER: Scalable Generative Modelling for Temporal Interaction Graphs
AAAI 2022
Optimal and Efficient Dynamic Regret Algorithms for Non-Stationary Dueling Bandits
ICML 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