Ramya Korlakai Vinayak
17 papers · 2014–2026 · 9 conferences · across top CS/AI conferences
Achievements
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π Academic Marathon (11) π§ Keyword Pioneer π Interdisciplinary Bridge π Conference Polyglot (7) π Cross-Pollinator (5)
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Cross-Pollinator
(5)
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Renaissance Researcher
(6)
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Taxonomy Completionist
(29)
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Grand Slam
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Keyword Champion
(2)
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Century Club
(15)
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Keyword Collector
(63)
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Prolific Year
(5)
Conferences
NIPS (5)
ICML (3)
AISTATS (2)
UAI (2)
AAAI (1)
ACL (1)
ALT (1)
ICCV (1)
ICLR (1)
Top co-authors
Keywords
sample complexity
(2)
preference learning
(2)
population distribution
(2)
semi-supervised learning
(2)
convex optimization
(2)
threshold-based labeling
(2)
threshold-based method
(2)
parameter estimation
(1)
confidence calibration
(1)
graph clustering
(1)
maximum likelihood estimation
(1)
data augmentation
(1)
face recognition
(1)
text-to-image generation
(1)
hypothesis testing
(1)
model calibration
(1)
empirical risk minimization
(1)
matrix completion
(1)
semantic knowledge
(1)
uncertainty quantification
(1)
Papers
Agentic Very Long Video Understanding
ACL 2026
Bridging Lifelong and Multi-Task Representation Learning: An Algorithm and a Complexity Measure
ALT 2026
CuRe: Cultural Gaps in the Long Tail of Text-to-Image Systems
ICCV 2025
PAL: Sample-Efficient Personalized Reward Modeling for Pluralistic Alignment
ICLR 2025
Rethinking Confidence Scores and Thresholds in Pseudolabeling-based SSL
ICML 2025
Metric Learning in an RKHS
UAI 2025
Taming False Positives in Out-of-Distribution Detection with Human Feedback
AISTATS 2024
Learning Populations of Preferences via Pairwise Comparison Queries
AISTATS 2024
Metric Learning from Limited Pairwise Preference Comparisons
UAI 2024
Pearls from Pebbles: Improved Confidence Functions for Auto-labeling
NIPS 2024
Limitations of Face Image Generation
AAAI 2024
Promises and Pitfalls of Threshold-based Auto-labeling
NIPS 2023
One for All: Simultaneous Metric and Preference Learning over Multiple Users
NIPS 2022
Estimating the Number and Effect Sizes of Non-null Hypotheses
ICML 2020
Maximum Likelihood Estimation for Learning Populations of Parameters
ICML 2019
Crowdsourced Clustering: Querying Edges vs Triangles
NIPS 2016
Graph Clustering With Missing Data: Convex Algorithms and Analysis
NIPS 2014