Viktoriia Sharmanska
13 papers · 2013–2024 · 6 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
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🗺️ Taxonomy Completionist (30) 🏃 Academic Marathon · Half 🌍 Conference Polyglot · Silver 🌉 Interdisciplinary Bridge · Silver 🐣 Hot Topic Early Bird
🧭
Keyword Pioneer
🧬
Topic Evolution
📈
Trend Setter
🔥
Unstoppable · Bronze
🚀
Conference Pioneer
💎
Century Club · Bronze
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Keyword Collector
(62)
Top co-authors
Research topics
Machine Learning
(9)
Learning Types · Machine Learning
(6)
Computer Vision
(5)
Deep Learning
(4)
Analysis
(4)
Application Areas
(4)
Core Methods
(4)
Learning Types · Deep Learning
(4)
Artificial Intelligence
(3)
Core AI · Artificial Intelligence
(2)
Computer Science
(1)
Applications
(1)
Bayesian & Probabilistic · Artificial Intelligence
(1)
Bayesian & Probabilistic · Machine Learning
(1)
Core AI · Computer Vision
(1)
Keywords
privileged information
(5)
multi-task learning
(3)
transfer learning
(2)
computer vision
(2)
distribution matching
(2)
probabilistic modeling
(1)
algorithmic fairness
(1)
semi-supervised learning
(1)
domain adaptation
(1)
feature learning
(1)
curriculum learning
(1)
face recognition
(1)
3d vision
(1)
image synthesis
(1)
landmark detection
(1)
out-of-distribution generalization
(1)
human pose estimation
(1)
affective computing
(1)
gaussian process
(1)
domain generalization
(1)
Papers
Distribution Matching for Multi-Task Learning of Classification Tasks: A Large-Scale Study on Faces & Beyond
AAAI 2024
DAD-3DHeads: A Large-Scale Dense, Accurate and Diverse Dataset for 3D Head Alignment From a Single Image
CVPR 2022
Okapi: Generalising Better by Making Statistical Matches Match
NeurIPS 2022
RealPatch: A Statistical Matching Framework for Model Patching with Real Samples
ECCV 2022
HeadGAN: One-Shot Neural Head Synthesis and Editing
ICCV 2021
Discovering Fair Representations in the Data Domain
CVPR 2019
Recycling Privileged Learning and Distribution Matching for Fairness
NeurIPS 2017
Ambiguity Helps: Classification With Disagreements in Crowdsourced Annotations
CVPR 2016
Learning From the Mistakes of Others: Matching Errors in Cross-Dataset Learning
CVPR 2016
Learning Using Unselected Features (LUFe)
IJCAI 2016
Curriculum Learning of Multiple Tasks
CVPR 2015
Mind the Nuisance: Gaussian Process Classification using Privileged Noise
NeurIPS 2014
Learning to Rank Using Privileged Information
ICCV 2013