Aman Sinha
21 papers · 2016–2026 · 9 venues · across top CS/AI venues
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Achievements
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🗺️ Taxonomy Completionist (49) 🏃 Academic Marathon · Half 🌍 Conference Polyglot · Silver 🌉 Interdisciplinary Bridge · Silver 🐣 Hot Topic Early Bird
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Keyword Champion
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Keyword Collector
(111)
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Renaissance Researcher
(7)
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The Questioner
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Prolific Year · Productive
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Conference Pioneer
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Century Club · Bronze
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Research topics
Machine Learning
(16)
Artificial Intelligence
(9)
Natural Language Processing
(9)
Core AI
(9)
Optimization & Theory
(9)
Core Methods
(7)
Deep Learning
(6)
Applications
(6)
Application Areas
(4)
Learning Types · Machine Learning
(4)
Computer Vision
(2)
Mathematics & Optimization
(2)
Domain-Specific
(2)
Learning Types · Deep Learning
(2)
Optimization
(2)
Keywords
text classification
(3)
autonomous vehicle
(3)
rare event simulation
(2)
distributionally robust optimization
(2)
hallucination detection
(2)
domain adaptation
(1)
transfer learning
(1)
probabilistic modeling
(1)
curriculum learning
(1)
sentiment classification
(1)
uncertainty quantification
(1)
factual accuracy
(1)
multilingual nlp
(1)
word sense disambiguation
(1)
binary classification
(1)
multimodal learning
(1)
dependency parsing
(1)
natural language processing
(1)
named entity recognition
(1)
social media analysis
(1)
Papers
Language Models Learn Universal Representations of Numbers and Here’s Why You Should Care
ACL 2026
Fossils at SemEval-2025 Task 9: Tasting Loss Functions for Food Hazard Detection in Text Reports
SemEval 2025
SemEval-2025 Task 3: Mu-SHROOM, the Multilingual Shared-task on Hallucinations and Related Observable Overgeneration Mistakes
SemEval 2025
SHROOM-CAP: Shared Task on Hallucinations and Related Observable Overgeneration Mistakes in Crosslingual Analyses of Publications
AACL 2025
Your Model is Overconfident, and Other Lies We Tell Ourselves
ACL 2025
Domain-specific or Uncertainty-aware models: Does it really make a difference for biomedical text classification?
ACL 2024
Rate-Informed Discovery via Bayesian Adaptive Multifidelity Sampling
CoRL 2024
Retrieve, Generate, Evaluate: A Case Study for Medical Paraphrases Generation with Small Language Models
ACL 2024
Embedding Synthetic Off-Policy Experience for Autonomous Driving via Zero-Shot Curricula
CoRL 2022
IAI @ SocialDisNER : Catch me if you can! Capturing complex disease mentions in tweets
COLING 2022
Word Sense Disambiguation of French Lexicographical Examples Using Lexical Networks
COLING 2022
C-Net: Contextual Network for Sarcasm Detection
ACL 2020
DSC IIT-ISM at SemEval-2020 Task 6: Boosting BERT with Dependencies for Definition Extraction
SemEval 2020
DSC IIT-ISM at SemEval-2020 Task 8: Bi-Fusion Techniques for Deep Meme Emotion Analysis
SemEval 2020
DSC-IIT ISM at WNUT-2020 Task 2: Detection of COVID-19 informative tweets using RoBERTa
EMNLP 2020
FormulaZero: Distributionally Robust Online Adaptation via Offline Population Synthesis
ICML 2020
Neural Bridge Sampling for Evaluating Safety-Critical Autonomous Systems
NeurIPS 2020
Certifying Some Distributional Robustness with Principled Adversarial Training
ICLR 2018
Scalable End-to-End Autonomous Vehicle Testing via Rare-event Simulation
NeurIPS 2018
Adaptive Sampling Probabilities for Non-Smooth Optimization
ICML 2017
Learning Kernels with Random Features
NeurIPS 2016