Mononito Goswami
11 papers · 2019–2025 · 5 conferences · across top CS/AI conferences
Achievements
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π Interdisciplinary Bridge π Renaissance Researcher (7) π Academic Marathon (6) π Conference Polyglot (5) πΊοΈ Taxonomy Completionist (22)
π
Conference Polyglot
(5)
π
Academic Marathon
(6)
π
Renaissance Researcher
(7)
π
Grand Slam
π
Conference Pioneer
π
Century Club
(11)
β
The Questioner
Conferences
AAAI (6)
ICML (2)
ICLR (1)
MLHC (1)
NIPS (1)
Top co-authors
Research topics
Keywords
text classification
(2)
cognitive state
(2)
representation learning
(2)
semi-supervised learning
(2)
affective computing
(2)
machine learning
(2)
natural language processing
(1)
text representation
(1)
sentiment analysis
(1)
text summarization
(1)
question answering
(1)
multi-modal learning
(1)
educational technology
(1)
weak supervision
(1)
model combination
(1)
label noise
(1)
class imbalance
(1)
prototype learning
(1)
label quality
(1)
multi-task learning
(1)
Papers
Exploring Representations and Interventions in Time Series Foundation Models
ICML 2025
JoLT: Jointly Learned Representations of Language and Time-Series for Clinical Time-Series Interpretation (Student Abstract)
AAAI 2024
MOMENT: A Family of Open Time-series Foundation Models
ICML 2024
PICSR: Prototype-Informed Cross-Silo Router for Federated Learning (Student Abstract)
AAAI 2024
AQuA: A Benchmarking Tool for Label Quality Assessment
NIPS 2023
Unsupervised Model Selection for Time Series Anomaly Detection
ICLR 2023
Classifying Unstructured Clinical Notes via Automatic Weak Supervision
MLHC 2022
Modeling Involuntary Dynamic Behaviors to Support Intelligent Tutoring (Student Abstract)
AAAI 2020
Discriminating Cognitive Disequilibrium and Flow in Problem Solving: A Semi-Supervised Approach Using Involuntary Dynamic Behavioral Signals
AAAI 2020
A Multi-Task Approach to Open Domain Suggestion Mining (Student Abstract)
AAAI 2020
Whatβs Most Broken? A Tool to Assist Data-Driven Iterative Improvement of an Intelligent Tutoring System
AAAI 2019