Prasant Mohapatra
10 papers · 2020–2026 · 7 venues · across top CS/AI venues
Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.
Achievements
Jump to papers ↓+5 more ↓ Show less ↑
π Academic Marathon Β· Sprint π Interdisciplinary Bridge Β· Bronze πΊοΈ Taxonomy Completionist (22) π£ Hot Topic Early Bird π Conference Polyglot Β· Silver
π
Grand Slam
β
The Questioner
π₯
Unstoppable Β· Bronze
π
Century Club Β· Bronze
π
Renaissance Researcher
(5)
Top co-authors
Research topics
Machine Learning
(10)
Core Methods
(5)
Learning Types Β· Machine Learning
(5)
Optimization & Theory
(4)
Artificial Intelligence
(3)
Deep Learning
(3)
Natural Language Processing
(3)
Application Areas
(3)
Core AI
(3)
Generation
(2)
Learning Types Β· Deep Learning
(2)
Computer Vision
(1)
Mathematics & Optimization
(1)
Reinforcement Learning
(1)
Analysis
(1)
Keywords
adversarial attack
(3)
abstractive summarization
(2)
large language model
(2)
stochastic gradient descent
(2)
stochastic optimization
(2)
uncertainty quantification
(1)
graph partitioning
(1)
k-means clustering
(1)
constrained optimization
(1)
deep clustering
(1)
non-convex optimization
(1)
text summarization
(1)
black-box attack
(1)
clustering algorithm
(1)
data selection
(1)
zeroth-order optimization
(1)
influence function
(1)
generative adversarial network
(1)
group fairness
(1)
model robustness
(1)
Papers
Fairness Uncertainty Quantification: A Constrained Stochastic Optimization Perspective
UAI 2026
Assessing LLMs for Zero-shot Abstractive Summarization Through the Lens of Relevance Paraphrasing
NAACL 2025
Outlier Gradient Analysis: Efficiently Identifying Detrimental Training Samples for Deep Learning Models
ICML 2025
Revisiting Zero-Shot Abstractive Summarization in the Era of Large Language Models from the Perspective of Position Bias
NAACL 2024
"What Data Benefits My Classifier?" Enhancing Model Performance and Interpretability through Influence-Based Data Selection
ICLR 2024
Robust Fair Clustering: A Novel Fairness Attack and Defense Framework
ICLR 2023
On the Robustness of Deep Clustering Models: Adversarial Attacks and Defenses
NeurIPS 2022
Stochastic Zeroth-Order Optimization under Nonstationarity and Nonconvexity
JMLR 2022
Escaping Saddle-Point Faster under Interpolation-like Conditions
NeurIPS 2020
Suspicion-Free Adversarial Attacks on Clustering Algorithms
AAAI 2020