Nikhil Mehta
25 papers · 2019–2025 · 12 conferences · across top CS/AI conferences
Achievements
Jump to papers ↓+10 more ↓ Show less ↑
π Interdisciplinary Bridge π Conference Polyglot (12) π Academic Marathon (6) π Renaissance Researcher (6) πΊοΈ Taxonomy Completionist (53)
π
Renaissance Researcher
(6)
π
Interdisciplinary Bridge
π
Academic Marathon
(6)
π§¬
Topic Evolution
π
Keyword Champion
(2)
π
Trend Setter
π
Century Club
(25)
π₯
Unstoppable
(7)
β‘
Prolific Year
(7)
ποΈ
Keyword Collector
(102)
Conferences
CVPR (4)
ACL (3)
AISTATS (3)
NAACL (3)
WACV (3)
EMNLP (2)
IJCNLP (2)
AAAI (1)
AACL (1)
EACL (1)
ICML (1)
NIPS (1)
Top co-authors
Keywords
graph neural network
(6)
large language model
(5)
fake news detection
(4)
representation learning
(4)
social media analysis
(3)
catastrophic forgetting
(3)
continual learning
(3)
link prediction
(2)
transfer learning
(2)
interactive learning
(2)
variational autoencoder
(2)
few-shot learning
(2)
community discovery
(2)
generative model
(2)
social media
(2)
knowledge transfer
(1)
collaborative filtering
(1)
multi-label learning
(1)
zero-shot learning
(1)
reinforcement learning
(1)
Papers
Talking Point based Ideological Discourse Analysis in News Events
ACL 2025
Building a Mind Palace: Structuring Environment-Grounded Semantic Graphs for Effective Long Video Analysis with LLMs
CVPR 2025
Unleashing In-context Learning of Autoregressive Models for Few-shot Image Manipulation
CVPR 2025
Apollo: An Exploration of Video Understanding in Large Multimodal Models
CVPR 2025
Meta-Learned Attribute Self-Interaction Network for Continual and Generalized Zero-Shot Learning
WACV 2024
Improving Grounded Language Understanding in a Collaborative Environment by Interacting with Agents Through Help Feedback
EACL 2024
Assessing and Verifying Task Utility in LLM-Powered Applications
EMNLP 2024
Using RL to Identify Divisive Perspectives Improves LLMs Abilities to Identify Communities on Social Media
EMNLP 2024
An Interactive Framework for Profiling News Media Sources
NAACL 2024
Aligning Large Language Models with Recommendation Knowledge
NAACL 2024
HyperMix: Out-of-Distribution Detection and Classification in Few-Shot Settings
WACV 2024
Interactively Learning Social Media Representations Improves News Source Factuality Detection
AACL 2023
Pushing the Efficiency Limit Using Structured Sparse Convolutions
WACV 2023
Recommender Systems with Generative Retrieval
NIPS 2023
Interactively Learning Social Media Representations Improves News Source Factuality Detection
IJCNLP 2023
Tackling Fake News Detection by Continually Improving Social Context Representations using Graph Neural Networks
ACL 2022
Tackling Fake News Detection by Interactively Learning Representations using Graph Neural Networks
IJCNLP 2021
Tackling Fake News Detection by Interactively Learning Representations using Graph Neural Networks
ACL 2021
Efficient Feature Transformations for Discriminative and Generative Continual Learning
CVPR 2021
Continual Learning using a Bayesian Nonparametric Dictionary of Weight Factors
AISTATS 2021
Counterfactual Representation Learning with Balancing Weights
AISTATS 2021
Graph Representation Learning via Ladder Gamma Variational Autoencoders
AAAI 2020
Improving Natural Language Interaction with Robots Using Advice
NAACL 2019
Stochastic Blockmodels meet Graph Neural Networks
ICML 2019
Deep Topic Models for Multi-label Learning
AISTATS 2019