Ramya Korlakai Vinayak
17 papers · 2014–2026 · 9 venues · across top CS/AI venues
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Research topics
Machine Learning
(16)
Core Methods
(9)
Optimization & Theory
(8)
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(6)
Artificial Intelligence
(5)
Application Areas
(5)
Core AI
(4)
Computer Vision
(3)
Deep Learning
(2)
Mathematics & Optimization
(2)
Generation
(2)
Learning Paradigms
(2)
Data Science & Analytics
(1)
Analysis
(1)
Applications
(1)
Keywords
metric learning
(3)
sample complexity
(3)
preference learning
(2)
convex optimization
(2)
threshold-based labeling
(2)
semi-supervised learning
(2)
population distribution
(2)
threshold-based method
(2)
confidence calibration
(1)
data augmentation
(1)
few-shot learning
(1)
model calibration
(1)
uncertainty quantification
(1)
reward modeling
(1)
text-to-image generation
(1)
parameter estimation
(1)
pseudo labeling
(1)
semantic knowledge
(1)
empirical risk minimization
(1)
face recognition
(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
Metric Learning in an RKHS
UAI 2025
PAL: Sample-Efficient Personalized Reward Modeling for Pluralistic Alignment
ICLR 2025
Rethinking Confidence Scores and Thresholds in Pseudolabeling-based SSL
ICML 2025
Learning Populations of Preferences via Pairwise Comparison Queries
AISTATS 2024
Limitations of Face Image Generation
AAAI 2024
Metric Learning from Limited Pairwise Preference Comparisons
UAI 2024
Pearls from Pebbles: Improved Confidence Functions for Auto-labeling
NeurIPS 2024
Taming False Positives in Out-of-Distribution Detection with Human Feedback
AISTATS 2024
Promises and Pitfalls of Threshold-based Auto-labeling
NeurIPS 2023
One for All: Simultaneous Metric and Preference Learning over Multiple Users
NeurIPS 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
NeurIPS 2016
Graph Clustering With Missing Data: Convex Algorithms and Analysis
NeurIPS 2014