Daphna Weinshall

Affiliations:
  • Hebrew University of Jerusalem, Israel


According to our database1, Daphna Weinshall authored at least 137 papers between 1988 and 2024.

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Bibliography

2024
United We Stand: Using Epoch-Wise Agreement of Ensembles to Combat Overfit.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023
Relearning Forgotten Knowledge: on Forgetting, Overfit and Training-Free Ensembles of DNNs.
CoRR, 2023

Semi-Supervised Learning in the Few-Shot Zero-Shot Scenario.
CoRR, 2023

Pruning the Unlabeled Data to Improve Semi-Supervised Learning.
CoRR, 2023

How to Select Which Active Learning Strategy is Best Suited for Your Specific Problem and Budget.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

2022
Principal Components Bias in Over-parameterized Linear Models, and its Manifestation in Deep Neural Networks.
J. Mach. Learn. Res., 2022

The Dynamic of Consensus in Deep Networks and the Identification of Noisy Labels.
CoRR, 2022

Active Learning Through a Covering Lens.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Active Learning on a Budget: Opposite Strategies Suit High and Low Budgets.
Proceedings of the International Conference on Machine Learning, 2022

The Grammar-Learning Trajectories of Neural Language Models.
Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2022

2021
Convergence Analysis of Over-parameterized Deep Linear Networks, and the Principal Components Bias.
CoRR, 2021

More Is More - Narrowing the Generalization Gap by Adding Classification Heads.
CoRR, 2021

2020
Boosting the Performance of Semi-Supervised Learning with Unsupervised Clustering.
CoRR, 2020

Multiclass non-Adversarial Image Synthesis, with Application to Classification from Very Small Sample.
CoRR, 2020

Learning from Small Data Through Sampling an Implicit Conditional Generative Latent Optimization Model.
CoRR, 2020

Multi-Modal Deep Clustering: Unsupervised Partitioning of Images.
Proceedings of the 25th International Conference on Pattern Recognition, 2020

Generative Latent Implicit Conditional Optimization when Learning from Small Sample.
Proceedings of the 25th International Conference on Pattern Recognition, 2020

Let's Agree to Agree: Neural Networks Share Classification Order on Real Datasets.
Proceedings of the 37th International Conference on Machine Learning, 2020

2019
Potential upside of high initial visual acuity?
Proc. Natl. Acad. Sci. USA, 2019

All Neural Networks are Created Equal.
CoRR, 2019

Blurred Images Lead to Bad Local Minima.
CoRR, 2019

On The Power of Curriculum Learning in Training Deep Networks.
Proceedings of the 36th International Conference on Machine Learning, 2019

2018
Theory of Curriculum Learning, with Convex Loss Functions.
CoRR, 2018

Gaussian Mixture Generative Adversarial Networks for Diverse Datasets, and the Unsupervised Clustering of Images.
CoRR, 2018

Curriculum Learning by Transfer Learning: Theory and Experiments with Deep Networks.
CoRR, 2018

Curriculum Learning by Transfer Learning: Theory and Experiments with Deep Networks.
Proceedings of the 35th International Conference on Machine Learning, 2018

Coming to Your Senses: on Controls and Evaluation Sets in Polysemy Research.
Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing, Brussels, Belgium, October 31, 2018

Topic models for automated motor analysis in schizophrenia patients.
Proceedings of the 15th IEEE International Conference on Wearable and Implantable Body Sensor Networks, 2018

ARIMA-based motor anomaly detection in schizophrenia inpatients.
Proceedings of the 2018 IEEE EMBS International Conference on Biomedical & Health Informatics, 2018

2017
Distance-based Confidence Score for Neural Network Classifiers.
CoRR, 2017

Every Untrue Label is Untrue in its Own Way: Controlling Error Type with the Log Bilinear Loss.
CoRR, 2017

Controlling Imbalanced Error in Deep Learning with the Log Bilinear Loss.
Proceedings of the First International Workshop on Learning with Imbalanced Domains: Theory and Applications, 2017

Real-Time Schizophrenia Monitoring Using Wearable Motion Sensitive Devices.
Proceedings of the Wireless Mobile Communication and Healthcare, 2017

Optimal Linear Imputation with a Convergence Guarantee.
Proceedings of the Pattern Recognition Applications and Methods, 2017

Optimized Linear Imputation.
Proceedings of the 6th International Conference on Pattern Recognition Applications and Methods, 2017

Implicit Media Tagging and Affect Prediction from RGB-D Video of Spontaneous Facial Expressions.
Proceedings of the 12th IEEE International Conference on Automatic Face & Gesture Recognition, 2017

Outta Control: Laws of Semantic Change and Inherent Biases in Word Representation Models.
Proceedings of the 2017 Conference on Empirical Methods in Natural Language Processing, 2017

Hidden Layers in Perceptual Learning.
Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition, 2017

2016
Topic modeling of behavioral modes using sensor data.
Int. J. Data Sci. Anal., 2016

Novelty Detection in MultiClass Scenarios with Incomplete Set of Class Labels.
CoRR, 2016

Differentiating facial incongruity and flatness in schizophrenia, using structured light camera data.
Proceedings of the 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2016

Facial expressions and flat affect in schizophrenia, automatic analysis from depth camera data.
Proceedings of the 2016 IEEE-EMBS International Conference on Biomedical and Health Informatics, 2016

2015
A Cheap System for Vehicle Speed Detection.
CoRR, 2015

Quantifying Hypomimia in Parkinson Patients Using a Depth Camera.
Proceedings of the Pervasive Computing Paradigms for Mental Health, 2015

Automated Facial Expressions Analysis in Schizophrenia: A Continuous Dynamic Approach.
Proceedings of the Pervasive Computing Paradigms for Mental Health, 2015

Prosodic Analysis of Speech and the Underlying Mental State.
Proceedings of the Pervasive Computing Paradigms for Mental Health, 2015

Quantifying Levodopa-Induced Dyskinesia Using Depth Camera.
Proceedings of the 2015 IEEE International Conference on Computer Vision Workshop, 2015

Matrix factorization approach to behavioral mode analysis from acceleration data.
Proceedings of the 2015 IEEE International Conference on Data Science and Advanced Analytics, 2015

2013
Hierarchical Regularization Cascade for Joint Learning.
Proceedings of the 30th International Conference on Machine Learning, 2013

LDA Topic Model with Soft Assignment of Descriptors to Words.
Proceedings of the 30th International Conference on Machine Learning, 2013

Modeling Musical Influence with Topic Models.
Proceedings of the 30th International Conference on Machine Learning, 2013

2012
Identification of Novel Classes in Object Class Recognition.
Proceedings of the Detection and Identification of Rare Audiovisual Cues, 2012

Identifying Surprising Events in Video Using Bayesian Topic Models.
Proceedings of the Detection and Identification of Rare Audiovisual Cues, 2012

DIRAC: Detection and Identification of Rare Audio-Visual Events.
Proceedings of the Detection and Identification of Rare Audiovisual Cues, 2012

Beyond Novelty Detection: Incongruent Events, When General and Specific Classifiers Disagree.
IEEE Trans. Pattern Anal. Mach. Intell., 2012

Online Learning in the Embedded Manifold of Low-rank Matrices.
J. Mach. Learn. Res., 2012

2011
Monaural Azimuth Localization Using Spectral Dynamics of Speech.
Proceedings of the INTERSPEECH 2011, 2011

Extracting foreground masks towards object recognition.
Proceedings of the IEEE International Conference on Computer Vision, 2011

2010
Differential category learning processes: The neural basis of comparison-based learning and induction.
NeuroImage, 2010

Online Learning in The Manifold of Low-Rank Matrices.
Proceedings of the Advances in Neural Information Processing Systems 23: 24th Annual Conference on Neural Information Processing Systems 2010. Proceedings of a meeting held 6-9 December 2010, 2010

Evidence for depression and schizophrenia in speech prosody.
Proceedings of the Third Workshop on Experimental Linguistics, 2010

The story of a single cell: Peeking into the semantics of spikes.
Proceedings of the 2nd International Workshop on Cognitive Information Processing, 2010

Identifying Surprising Events in Videos Using Bayesian Topic Models.
Proceedings of the Computer Vision - ACCV 2010, 2010

2009
Category learning from equivalence constraints.
Cogn. Process., 2009

2008
Motion Segmentation and Depth Ordering Using an Occlusion Detector.
IEEE Trans. Pattern Anal. Mach. Intell., 2008

Efficient Learning of Relational Object Class Models.
Int. J. Comput. Vis., 2008

Beyond Novelty Detection: Incongruent Events, when General and Specific Classifiers Disagree.
Proceedings of the Advances in Neural Information Processing Systems 21, 2008

The distortion of reality perception in schizophrenia patients, as measured in Virtual Reality.
Proceedings of the Medicine Meets Virtual Reality 16, 2008

2007
Image Classification from Small Sample, with Distance Learning and Feature Selection.
Proceedings of the Advances in Visual Computing, Third International Symposium, 2007

Learning distance function by coding similarity.
Proceedings of the Machine Learning, 2007

Exploiting Object Hierarchy: Combining Models from Different Category Levels.
Proceedings of the IEEE 11th International Conference on Computer Vision, 2007

Classification with Positive and Negative Equivalence Constraints: Theory, Computation and Human Experiments.
Proceedings of the Advances in Brain, 2007

2006
Cognitive Authentication Schemes Safe Against Spyware (Short Paper).
Proceedings of the 2006 IEEE Symposium on Security and Privacy (S&P 2006), 2006

Subordinate class recognition using relational object models.
Proceedings of the Advances in Neural Information Processing Systems 19, 2006

Learning a kernel function for classification with small training samples.
Proceedings of the Machine Learning, 2006

Motion Segmentation Using an Occlusion Detector.
Proceedings of the Dynamical Vision, ICCV 2005 and ECCV 2006 Workshops, 2006

2005
Learning a Mahalanobis Metric from Equivalence Constraints.
J. Mach. Learn. Res., 2005

Analyzing Auditory Neurons by Learning Distance Functions.
Proceedings of the Advances in Neural Information Processing Systems 18 [Neural Information Processing Systems, 2005

Realtime IBR with Omnidirectional Crossed-Slits Projection.
Proceedings of the 10th IEEE International Conference on Computer Vision (ICCV 2005), 2005

Efficient Learning of Relational Object Class Models.
Proceedings of the 10th IEEE International Conference on Computer Vision (ICCV 2005), 2005

Object Class Recognition by Boosting a Part-Based Model.
Proceedings of the 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2005), 2005

2004
Boosting margin based distance functions for clustering.
Proceedings of the Machine Learning, 2004

Learning Distance Functions for Image Retrieval.
Proceedings of the 2004 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2004), with CD-ROM, 27 June, 2004

Passwords you'll never forget, but can't recall.
Proceedings of the Extended abstracts of the 2004 Conference on Human Factors in Computing Systems, 2004

2003
Mosaicing New Views: The Crossed-Slits Projection.
IEEE Trans. Pattern Anal. Mach. Intell., 2003

Computing Gaussian Mixture Models with EM Using Equivalence Constraints.
Proceedings of the Advances in Neural Information Processing Systems 16 [Neural Information Processing Systems, 2003

Learning Distance Functions using Equivalence Relations.
Proceedings of the Machine Learning, 2003

On the Epipolar Geometry of the Crossed-Slits Projection.
Proceedings of the 9th IEEE International Conference on Computer Vision (ICCV 2003), 2003

Enhancing Image and Video Retrieval: Learning via Equivalence Constraint.
Proceedings of the 2003 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2003), 2003

Learning with Equivalence Constraints and the Relation to Multiclass Learning.
Proceedings of the Computational Learning Theory and Kernel Machines, 2003

2002
New View Generation with a Bi-centric Camera.
Proceedings of the Computer Vision, 2002

Adjustment Learning and Relevant Component Analysis.
Proceedings of the Computer Vision, 2002

2001
Self-Organization in Vision: Stochastic Clustering for Image Segmentation, Perceptual Grouping, and Image Database Organization.
IEEE Trans. Pattern Anal. Mach. Intell., 2001

A Computer Vision System for On-Screen Item Selection by Finger Pointing.
Proceedings of the 2001 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2001), 2001

2000
Classification with Nonmetric Distances: Image Retrieval and Class Representation.
IEEE Trans. Pattern Anal. Mach. Intell., 2000

Perceptual Grouping and Segmentation by Stochastic Clustering.
Proceedings of the 2000 Conference on Computer Vision and Pattern Recognition (CVPR 2000), 2000

1999
Flexible Syntactic Matching of Curves and Its Application to Automatic Hierarchical Classification of Silhouettes.
IEEE Trans. Pattern Anal. Mach. Intell., 1999

Motion of disturbances: detection and tracking of multi-body non-rigid motion.
Mach. Vis. Appl., 1999

Minimal Decomposition of Model-Based Invariants.
J. Math. Imaging Vis., 1999

Stochastic Image Segmentation by Typical Cuts.
Proceedings of the 1999 Conference on Computer Vision and Pattern Recognition (CVPR '99), 1999

1998
Dual Computation of Projective Shape and Camera Positions from Multiple Images.
Int. J. Comput. Vis., 1998

From Ordinal to Euclidean Reconstruction with Partial Scene Calibration.
Proceedings of the 3D Structure from Multiple Images of Large-Scale Environments, 1998

Classification in Non-Metric Spaces.
Proceedings of the Advances in Neural Information Processing Systems 11, [NIPS Conference, Denver, Colorado, USA, November 30, 1998

Mechanisms of Generalization in Perceptual Learning.
Proceedings of the Advances in Neural Information Processing Systems 11, [NIPS Conference, Denver, Colorado, USA, November 30, 1998

A Randomized Algorithm for Pairwise Clustering.
Proceedings of the Advances in Neural Information Processing Systems 11, [NIPS Conference, Denver, Colorado, USA, November 30, 1998

Condensing Image Databases when Retrieval is Based on Non-Metric Distances.
Proceedings of the Sixth International Conference on Computer Vision (ICCV-98), 1998

From Reference Frames to Reference Planes: Multi-View Parallax Geometry and Applications.
Proceedings of the Computer Vision, 1998

Flexible Syntactic Matching of Curves.
Proceedings of the Computer Vision, 1998

Automatic Hierarchical Classification of Silhouettes of 3D Objects.
Proceedings of the 1998 Conference on Computer Vision and Pattern Recognition (CVPR '98), 1998

1997
On View Likelihood and Stability.
IEEE Trans. Pattern Anal. Mach. Intell., 1997

Using Bilateral Symmetry to Improve 3D Reconstruction from Image Sequences.
Comput. Vis. Image Underst., 1997

1996
Distance Metric Between 3D Models and 2D Images for Recognition and Classification.
IEEE Trans. Pattern Anal. Mach. Intell., 1996

Complexity of Indexing: Efficient and Learnable Large Database Indexing.
Proceedings of the Computer Vision, 1996

Duality of Multi-Point and Multi-Frame Geometry: Fundamental Shape Matrices and Tensors.
Proceedings of the Computer Vision, 1996

Measures for Silhouettes Resemblance and Representative Silhouettes of Curved Objects.
Proceedings of the Computer Vision, 1996

1995
Similarity and Affine Invariant Distances Between 2D Point Sets.
IEEE Trans. Pattern Anal. Mach. Intell., 1995

Linear and Incremental Acquisition of Invariant Shape Models From Image Sequences.
IEEE Trans. Pattern Anal. Mach. Intell., 1995

1994
Local shape approximation from shading.
J. Math. Imaging Vis., 1994

Stability and Likelihood of Views of Three Dimensional Objects.
Proceedings of the Theoretical Foundations of Computer Vision, 1994

Similarity and affine distance between 2D point sets.
Proceedings of the 12th IAPR International Conference on Pattern Recognition, 1994

Utilizing symmetry in the reconstruction of three-dimensional shape from noisy images.
Proceedings of the Computer Vision, 1994

Shape from motion algorithms: a comparative analysis of scaled orthography and perspective.
Proceedings of the Computer Vision, 1994

1993
Model-based invariants for 3-D vision.
Int. J. Comput. Vis., 1993

3D object recognition by indexing structural invariants from multiple views.
Proceedings of the Fourth International Conference on Computer Vision, 1993

Model-based invariants for 3D vision.
Proceedings of the Conference on Computer Vision and Pattern Recognition, 1993

Model-based Invariant Functions and Their Use for Recognition.
Proceedings of the Applications of Invariance in Computer Vision, Second Joint European, 1993

1992
Shortcuts in shape classification from two images.
CVGIP Image Underst., 1992

1991
Direct Computation of Qualitative 3-D Shape and Motion Invariants.
IEEE Trans. Pattern Anal. Mach. Intell., 1991

AAAI-90 Workshop on Qualitative Vision.
AI Mag., 1991

1990
Qualitative Depth from Stereo, with Applications.
Comput. Vis. Graph. Image Process., 1990

Qualitative Structure From Motion.
Proceedings of the Advances in Neural Information Processing Systems 3, 1990

Direct computation of qualitative 3D shape and motion invariants.
Proceedings of the Third International Conference on Computer Vision, 1990

1989
Integration of vision modules and labeling of surface discontinuities.
IEEE Trans. Syst. Man Cybern., 1989

A Self-Organizing Multiple-View Representations of 3D Objects.
Proceedings of the Advances in Neural Information Processing Systems 2, 1989

1988
Labeling edges with a linear network: An integration of low-level vision modules.
Neural Networks, 1988

Application Of Qualitative Depth And Shape From Stereo.
Proceedings of the Second International Conference on Computer Vision, 1988

Qualitative depth from vertical and horizontal binocular disparities, in agreement with psychophysical evidence.
Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition, 1988


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