Effrosyni Kokiopoulou

Affiliations:
  • Google Inc., Zurich, Switzerland
  • EPFL, Switzerland (PhD 2009)
  • University of Minnesota, Minneapolis, MN, USA (former)
  • University of Patras, Greece (former)


According to our database1, Effrosyni Kokiopoulou authored at least 58 papers between 2001 and 2024.

Collaborative distances:

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

Online presence:

On csauthors.net:

Bibliography

2024
Representing Online Handwriting for Recognition in Large Vision-Language Models.
CoRR, 2024

Pi-DUAL: Using privileged information to distinguish clean from noisy labels.
Proceedings of the Forty-first International Conference on Machine Learning, 2024

2023
SmartChoices: Augmenting Software with Learned Implementations.
CoRR, 2023

Three Towers: Flexible Contrastive Learning with Pretrained Image Models.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

When does Privileged information Explain Away Label Noise?
Proceedings of the International Conference on Machine Learning, 2023

Massively Scaling Heteroscedastic Classifiers.
Proceedings of the Eleventh International Conference on Learning Representations, 2023

2022
Deep Classifiers with Label Noise Modeling and Distance Awareness.
Trans. Mach. Learn. Res., 2022

Transfer and Marginalize: Explaining Away Label Noise with Privileged Information.
Proceedings of the International Conference on Machine Learning, 2022

2021
Correlated Input-Dependent Label Noise in Large-Scale Image Classification.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

2020
Routing Networks with Co-training for Continual Learning.
CoRR, 2020

Analysis of Softmax Approximation for Deep Classifiers under Input-Dependent Label Noise.
CoRR, 2020

Task-Aware Performance Prediction for Efficient Architecture Search.
Proceedings of the ECAI 2020 - 24th European Conference on Artificial Intelligence, 29 August-8 September 2020, Santiago de Compostela, Spain, August 29 - September 8, 2020, 2020

2019
Ranking architectures using meta-learning.
CoRR, 2019

Gumbel-Matrix Routing for Flexible Multi-task Learning.
CoRR, 2019

Fast Task-Aware Architecture Inference.
CoRR, 2019

General Techniques for Approximate Incidences and Their Application to the Camera Posing Problem.
Proceedings of the 35th International Symposium on Computational Geometry, 2019

2013
Distributed Average Consensus With Quantization Refinement.
IEEE Trans. Signal Process., 2013

Random Grids: Fast Approximate Nearest Neighbors and Range Searching for Image Search.
Proceedings of the IEEE International Conference on Computer Vision, 2013

2012
Progressive quantization in distributed average consensus.
Proceedings of the 2012 IEEE International Conference on Acoustics, 2012

2011
Distributed Classification of Multiple Observation Sets by Consensus.
IEEE Trans. Signal Process., 2011

Optimal Image Alignment With Random Projections of Manifolds: Algorithm and Geometric Analysis.
IEEE Trans. Image Process., 2011

Trace optimization and eigenproblems in dimension reduction methods.
Numer. Linear Algebra Appl., 2011

Fusion of Digital Elevation Models Using Sparse Representations.
Proceedings of the Photogrammetric Image Analysis - ISPRS Conference, 2011

Optimal similarity registration of volumetric images.
Proceedings of the 24th IEEE Conference on Computer Vision and Pattern Recognition, 2011

2010
On the computation of structured singular values and pseudospectra.
Syst. Control. Lett., 2010

3D face recognition with sparse spherical representations.
Pattern Recognit., 2010

Graph-based classification of multiple observation sets.
Pattern Recognit., 2010

Distributed classification of multiple observations by consensus.
Proceedings of the International Conference on Image Processing, 2010

Polynomial filter design for quantized consensus.
Proceedings of the 18th European Signal Processing Conference, 2010

On the Curvature of Pattern Transformation Manifolds: Numerical Estimation and Applications.
Proceedings of the Manifold Learning and Its Applications, 2010

2009
Geometry-aware analysis of high-dimensional visual information sets.
PhD thesis, 2009

Polynomial Filtering for Fast Convergence in Distributed Consensus.
IEEE Trans. Signal Process., 2009

Enhanced graph-based dimensionality reduction with repulsion Laplaceans.
Pattern Recognit., 2009

Minimum Distance between Pattern Transformation Manifolds: Algorithm and Applications.
IEEE Trans. Pattern Anal. Mach. Intell., 2009

Video face recognition with graph-based semi-supervised learning.
Proceedings of the 2009 IEEE International Conference on Multimedia and Expo, 2009

Optimal image alignment with random measurements.
Proceedings of the 17th European Signal Processing Conference, 2009

2008
Semantic Coding by Supervised Dimensionality Reduction.
IEEE Trans. Multim., 2008

Computation of Large Invariant Subspaces Using Polynomial Filtered Lanczos Iterations with Applications in Density Functional Theory.
SIAM J. Matrix Anal. Appl., 2008

Classification of multiple observations by semi-supervised learning
CoRR, 2008

Optimal polynomial filtering for accelerating distributed consensus.
Proceedings of the 2008 IEEE International Symposium on Information Theory, 2008

3D face recognition using sparse spherical representations.
Proceedings of the 19th International Conference on Pattern Recognition (ICPR 2008), 2008

Graph-based classification for multiple observations of transformed patterns.
Proceedings of the 19th International Conference on Pattern Recognition (ICPR 2008), 2008

Fast keyword detection with sparse time-frequency models.
Proceedings of the 2008 IEEE International Conference on Multimedia and Expo, 2008

Mobile Museum Guide Based on Fast SIFT Recognition.
Proceedings of the Adaptive Multimedia Retrieval. Identifying, 2008

2007
Accelerating Distributed Consensus Using Extrapolation.
IEEE Signal Process. Lett., 2007

Orthogonal Neighborhood Preserving Projections: A Projection-Based Dimensionality Reduction Technique.
IEEE Trans. Pattern Anal. Mach. Intell., 2007

Image alignment with rotation manifolds built on sparse geometric expansions.
Proceedings of the IEEE 9th Workshop on Multimedia Signal Processing, 2007

Dimensionality Reduction with Adaptive Approximation.
Proceedings of the 2007 IEEE International Conference on Multimedia and Expo, 2007

2006
Classification-Specific Feature Sampling for Face Recognition.
Proceedings of the IEEE 8th Workshop on Multimedia Signal Processing, 2006

Distributed SVM Applied to Image Classification.
Proceedings of the 2006 IEEE International Conference on Multimedia and Expo, 2006

Pattern Detection by Distributed Feature Extraction.
Proceedings of the International Conference on Image Processing, 2006

2005
The design of a distributed MATLAB-based environment for computing pseudospectra.
Future Gener. Comput. Syst., 2005

PCA without eigenvalue calculations: a case study on face recognition.
Proceedings of the 2005 SIAM International Conference on Data Mining, 2005

Face recognition using OPRA-faces.
Proceedings of the Fourth International Conference on Machine Learning and Applications, 2005

Orthogonal Neighborhood Preserving Projections.
Proceedings of the 5th IEEE International Conference on Data Mining (ICDM 2005), 2005

2004
Polynomial filtering in latent semantic indexing for information retrieval.
Proceedings of the SIGIR 2004: Proceedings of the 27th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, 2004

2002
Parallel Computation of Pseudospectra Using Transfer Functions on a MATLAB-MPI Cluster Platform.
Proceedings of the Recent Advances in Parallel Virtual Machine and Message Passing Interface, 9th European PVM/MPI Users' Group Meeting, Linz, Austria, September 29, 2002

2001
Towards the effective parallel computation of matrix pseudospectra.
Proceedings of the 15th international conference on Supercomputing, 2001


  Loading...