Recent papers (selected)Recent papers (selected)
Guy Hacohen and Daphna Weinshall.
Pruning the Unlabeled Data to Improve Semi-Supervised Learning.
arXiv:2308.14058 [cs.LG], Aug 2023.
Uri Stern and Daphna Weinshall.
Relearning Forgotten Knowledge: on Forgetting, Overfit and Training-Free Ensembles of DNNs.
arXiv:2310.11094 [cs.LG], Oct 2023.
Uri Stern and Daphna Weinshall.
United We Stand: Using Epoch-wise Agreement of Ensembles to Combat Overfit.
Proceedings: 38th Annual AAAI Conference on Artificial Intelligence, Feb 2024 (arXiv:2310.11077 [cs.LG], Oct 2023).
Noam Fluss, Guy Hacohen and Daphna Weinshall.
Semi-Supervised Learning in the Few-Shot Zero-Shot Scenario.
arXiv:2308.14119 [cs.LG], Aug 2023.
Guy Hacohen and Daphna Weinshall.
How to Select Which Active Learning Strategy is Best Suited for Your Specific Problem and Budget.
Proceedings: 37th Conference on Neural Information Processing Systems (NeurIPS), Dec 2023.
[NIPS talk
]
Ofer Yehuda, Avihu Dekel, Guy Hacohen and Daphna Weinshall.
Active Learning Through a Covering Lens.
Proceedings: 36th Conference on Neural Information Processing Systems (NeurIPS), Dec 2022.
Daniel Shwartz, Uri Stern and Daphna Weinshall.
The Dynamic of Consensus in Deep Networks and the Identification of Noisy Labels.
arXiv:2210.00583 [cs.LG], Oct 2022.
Guy Hacohen, Avihu Dekel and Daphna Weinshall.
Active Learning on a Budget: Opposite Strategies Suit High and Low Budgets.
Proceedings: 39th International Conference on Machine Learning (ICML), Baltimore USA, July 2022.
[talk GH]
[talk AD]
Blog
Guy Hacohen and Daphna Weinshall.
Principal Components Bias in Over-parameterized Linear Models, and its Manifestation in Deep Neural Networks.
Journal of Machine Learning Research (JMLR) 23:1-46, May 2022.
Leshem Choshen, Guy Hacohen, Daphna Weinshall and Omri Abend.
The Grammar-Learning Trajectories of Neural Language Models.
Proceedings: 60th Annual Meeting of the Association for Computational Linguistics (ACL), Volume 1: Long Papers, Dublin Ireland, May 2022.
Dan Amir and Daphna Weinshall.
Theory of Curriculum Learning, with Convex Loss Functions.
Journal of Machine Learning Research (JMLR), 21:1-19, Nov 2020
;
[talk GH]
Boaz Lerner, Guy Shiran and Daphna Weinshall.
Boosting the Performance of Semi-Supervised Learning with Unsupervised Clustering.
arXiv:2012.00504 [cs.CV], Nov 2020.
Idan Azuri and Daphna Weinshall.
Generative Latent Implicit Conditional Optimization when Learning from Small Sample.
Proceedings: 25th International Conference on Pattern Recognition, ICPR 2020.
[talk IA]
Guy Shiran and Daphna Weinshall.
Multi-Modal Deep Clustering: Unsupervised Partitioning of Images.
Proceedings: 25th International Conference on Pattern Recognition, ICPR 2020.
[talk GS]
Gal Katzhendler and Daphna Weinshall.
Potential Upside of High Initial Visual Acuity?
Proceedings of the National Academy of Sciences, 116:38, ID 2019-06400RR, August 2019.
www.pnas.org/cgi/doi/10.1073/pnas.1906400116, https://www.pnas.org/content/pnas/early/2019/08/21/1906400116.full.pdf.
Full version: Blurred Images Lead to Bad Local Minima. arXiv:1905.10854 [cs.CV].
Guy Hacohen and Daphna Weinshall.
On The Power of Curriculum Learning in Training Deep Networks.
Proceedings: 36th International Conference on Machine Learning (ICML), oral, Long Beach CA USA, June 2019.
[talk GH]
Haim Dubossarsky, Eitan Grossman and Daphna Weinshall.
Coming to Your Senses: on Controls and Evaluation Sets in Polysemy Research.
Proceedings: Conference on Empirical Methods in Natural Language Processing (EMNLP), Brussels Belgium, November 2018.
[talk HD]
Matan Ben-Yosef and Daphna Weinshall.
Gaussian Mixture Generative Adversarial Networks for Diverse Datasets, and the Unsupervised Clustering of Images.
arXiv:1808.10356 [cs.LG], August 2018.
Daphna Weinshall, Gad Cohen and Dan Amir.
Curriculum Learning by Transfer Learning: Theory and Experiments with Deep Networks.
Proceedings: 35th International Conference on Machine Learning (ICML), oral, Stockholm Sweden, July 2018.
Haim Dubossarsky, Eitan Grossman and Daphna Weinshall.
Outta Control: Laws of Semantic Change and Inherent Biases in Word Representation Models.
Proceedings: Conference on Empirical Methods in Natural Language Processing (EMNLP), Copenhagen Denmark, August 2017.
[talk HD] Honorable mention with an ``Outstanding Paper'' distinction.
Gad Cohen and Daphna Weinshall.
Hidden Layers in Perceptual Learning.
Proceedings: IEEE Conference on Computer Vision & Pattern Recognition (CVPR), Honolulu HI, July 2017.
[talk GC]
Daniel Hadar, Talia Tron and Daphna Weinshall.
Implicit Media Tagging and Affect Prediction from RGB-D video of spontaneous facial expressions.
Proceedings: 12th IEEE International Conference on Automatic Face and Gesture Recognition (FG2017), Washington DC, May 2017.
Yehezkel S. Resheff and Daphna Weinshall.
Optimized Linear Imputation.
Proceedings: 6th Int. Conf. on Pattern Recognition Application and Methods (ICPRAM), Porto Portugal, Feb 2017.
Haim Dubossarsky, Daphna Weinshall and Eitan Grossman.
Verbs Change more than Nouns: a Bottom-up Computational Approach to Semantic Change.
LINGUE E LINGUAGGIO XV.1 (2016) 5-25.
Yehezkel S. Resheff, Shay Roticsy, Ran Nathan and Daphna Weinshall.
Topic modeling of behavioral modes using sensor data.
International Journal of Data Science and Analytics, January 2016
;
short version in Proceedings: IEEE International Conference on Data Science and Advanced Analytics (DSAA), 19-21 October, 2015.
.
Chaim Ginzburg, Amit Raphael and Daphna Weinshall.
A Cheap System for Vehicle Speed Detection.
arXiv:submit/1169074 [cs.CV] 27 Jan 2015.
Daphna Weinshall, Dmitri Hanukaev and Gal Levi.
LDA Topic Model with Soft Assignment of Descriptors to Words.
Proceedings: 30th International Conference on Machine Learning (ICML), Atlanta GA, June 2013.
Alon Zweig and Daphna Weinshall.
Hierarchical Regularization Cascade for Joint Learning.
Proceedings: of 30th International Conference on Machine Learning (ICML), Atlanta GA, June 2013.
Alon Zweig and Daphna Weinshall.
Hierarchical Multi-Task Learning: a Cascade Approach Based on the Notion of Task Relatedness.
Theoretically Grounded Transfer Learning workshop, held at International Conference on Machine Learning (ICML), June 2013.
Uri Shalit, Daphna Weinshall and Gal Chechik.
Modeling Musical Influence with Topic Models.
Proceedings: 30th International Conference on Machine Learning (ICML), Atlanta GA, June 2013.
Avram Golbert and Daphna Weinshall.
Object Detection in Multi-view 3D Reconstruction Using Semantic and Geometric Context.
ISPRS Annals Volume II-3/W3 2013, CMRT13 - City Models, Roads and Traffic, pp. 97-102, Antalya Turkey, November 2013.
Daphna Weinshall, Alon Zweig, Hynek Hermansky, Stefan Kombrink, Frank W. Ohl, Jeorn Anemeuller, Jeorg-Hendrik Bach, Luc Van Gool, Fabian Nater, Tomas Pajdla, Michal Havlena and Misha Pavel.
Beyond Novelty Detection: Incongruent Events, when General and Specific Classifiers Disagree.
IEEE Trans. on Pattern Analysis and Machine Intelligence (PAMI), 34(10):1886-1901, Oct 2012
;
preliminary conference publication (NIPS 2008)
Uri Shalit, Daphna Weinshall and Gal Chechik.
Online Learning in the Manifold of Low-Rank Matrices.
Journal of Machine Learning Research (JMLR), 13:429-458, Feb 2012
;
preliminary conference publication (NIPS 2010)
Amir Rosenfeld and Daphna Weinshall.
Extracting Foreground Masks towards Object Recognition.
Proceedings: 13th IEEE International Conference of Computer Vision (ICCV), Barcelona Spain, Nov 2011.
Roie Kliper, Hendrik Kayser, Daphna Weinshall, Jeorn Anemeuller and Israel Nelken.
Monaural Azimuth Localization Using Spectral Dynamics of Speech.
In Proc. Interspeech, Florence Italy, Aug 2011.
Avishai Hendel, Daphna Weinshall, and Shmuel Peleg.
Identifying Surprising Events in Videos Using Bayesian Topic Models.
Proceedings: 10th Asian Conference of Computer Vision (ACCV), Queenstown New Zealand, Nov 2010.
Roie Kliper, Thomas Serre, Daphna Weinshall and Israel Nelken.
The Story of A Single Cell: Peeking into the Semantics of Spikes.
Proceedings: IAPR Workshop on Cognitive Information Processing (CIP2010), Elba Island, June 2010.
Rubi Hammer, Andre Brechmann, Frank W. Ohl, Daphna Weinshall and Shaul Hochstein,
Differential category learning processes: The neural basis of comparison-based learning and induction.
Neuroimage, 52:699-709, 2010.
Computational Mental Health
Talia Tron, Yehezkel S. Resheff, Mikhail Bazhmin, Daphna Weinshall and Abraham Peled.
ARIMA-based Motor Anomaly Detection in Schizophrenia Inpatients.
Proceedings: IEEE-EMBS International Conference on Biomedical and Health Informatics (BHI), Las Veags, March 2018.
Talia Tron, Yehezkel S. Resheff, Mikhail Bazhmin, Abraham Peled and Daphna Weinshall.
Real-time Schizophrenia Monitoring using Wearable Motion Sensitive Devices.
Proceedings: 7th EAI International Conference on Wireless Mobile Communication and Healthcare (MobiHealth)}, Vienna Austria, Nov 2017.
Talia Tron, Abraham Peled, Alexander Grinsphoon and Daphna Weinshall.
Differentiating Facial Incongruity and Flatness in Schizophrenia using Structured Light Camera Data.
Proceedings: IEEE Annual International Conference of the Engineering in Medicine and Biology Society (EMBC), Aug 2016.
Talia Tron, Abraham Peled, Alexander Grinsphoon and Daphna Weinshall.
Facial Expressions and Flat Affect in Schizophrenia, Automatic Analysis from Depth Camera Data.
Proceedings: IEEE-EMBS International Conference on Biomedical and Health Informatics (BHI), pp. 220-223, Feb 2016.
Maria Dyshel, David Arkadir, Hagai Bergman and Daphna Weinshall.
Quantifying Levodopa-Induced Dyskensia Using Depth Camera.
Proceedings: 3rd Workshop on Assistive Computer Vision and Robotics (ICCVW-ACVR), Santiago Chile, December 2015.
Talia Tron, Abraham Peled, Alexander Grinsphoon and Daphna Weinshall.
Automated Facial Expressions Analysis in Schizophrenia: a Continuous Dynamic Approach.
Proceedings: Pervasive Computing Paradigms for Mental Health (MindCare), Milan Italy, October 2015.
Nomi Vinokurov, David Arkadir, Eduard Linetsky, Hagai Bergman and Daphna Weinshall.
Quantifying Hypomimia in Parkinson Patients Using a Depth Camera.
Proceedings: Pervasive Computing Paradigms for Mental Health (MindCare), Milan Italy, October 2015.
Roi Kliper, Shirley Portuguese and Daphna Weinshall.
Prosodic Analysis of Speech and the Underlying Mental State.
Proceedings: Pervasive Computing Paradigms for Mental Health (MindCare), Milan Italy, October 2015.
Roie Kliper, Yontan Vaizman, Daphna Weinshall and Shirley Portuguese.
Evidence for depression and schizophrenia in speech prosody.
Second ISCA Tutorial and Research Workshop on Experimental Linguistics - ExLing, Athens Greece, August 2010.
Learning and Object Recognition
Aharon Bar-Hillel and Daphna Weinshall.
Learning Distance Function by Coding Similarity.
Proceedings: of 24th International Conference on Machine Learning (ICML) 2007, Corvallis OR, June 2007.
Tomer Hertz, Aharon Bar-Hillel and Daphna Weinshall.
Learning a Kernel Function for Classification with Small Training Samples.
Proceedings: of 23rd International Conference on Machine Learning (ICML) 2006, Pittsburgh PA, June 2006.
Aharon Bar-Hillel, Tomer Hertz, Noam Shental and Daphna Weinshall.
Learning a Mahalanobis Metric from equivalence constraints.
Journal of Machine Learning Research, 2005.
(abstract)
Tomer Hertz, Aharon Bar-Hillel and Daphna Weinshall.
Boosting Margin-Based Distance Functions for Clustering.
Proceedings: of 21st International Conference on Machine Learning (ICML) 2004, Banff Canada, July 2004.
Tomer Hertz, Aharon Bar-Hillel and Daphna Weinshall.
Learning Distance Functions for Image Retrieval.
In Proc. of IEEE Conf. on Computer Vision & Pattern Recognition (CVPR), washington DC, June 2004.
Noam Shental, Aharon Bar-Hillel, Tomer Hertz and Daphna Weinshall.
Computing Gaussian Mixture Models with EM using Equivalence Constraints.
In Advances in Neural Information Processing Systems (NIPS) 2003, MIT Press.
HUJI-TR 2003-43.
Aharon Bar-Hillel, Tomer Hertz, Noam Shental, and Daphna Weinshall.
Learning Distance Functions using Equivalence Relations.
In Proc. of 20th International Conference on Machine Learning (ICML) 2003, Washington DC, August 2003.
Aharon Bar-Hillel and Daphna Weinshall.
Learning with Equivalence Constraints, and the Relation to Multiclass Learning.
In Proc. of 16th Conference on Learning Theory (COLT) 2003, Washington DC, August 2003.
Tomer Hertz, Noam Shental, Aharon Bar-Hillel and Daphna Weinshall.
Enhancing Image and Video Retrieval: Learning via Equivalence Constraints.
In Proc. of IEEE Conf. on Computer Vision & Pattern Recognition (CVPR), Madison WI, June 2003.
Noam Shental, Tomer Hertz, Daphna Weinshall and Misha Pavel.
Adjustment Learning and Relevant Component Analysis.
In Proc. of 7th European Conference of Computer Vision (ECCV), Copenhagen, May 2002.
Alon Zweig and Daphna Weinshall.
Exploiting Object Hierarchy: Combining Models from Different Category Levels.
In Proc. of 11th IEEE International Conference of Computer Vision (ICCV), Rio de Janeiro Brazil, October 2007.
Aharon Bar-Hillel and Daphna Weinshall.
Subordinate class recognition using relational object models.
In Advances in Neural Information Processing Systems (NIPS) 2006.
.
Aharon Bar-Hillel, Tomer Hertz and Daphna Weinshall.
Efficient Learning of Relational Object Class Models.
International Journal of Computer Vision (IJCV), 77: 175--198, 2008.
; preliminary conference publication (ICCV 2005)
.
Aharon Bar-Hillel, Tomer Hertz and Daphna Weinshall.
Object class recognition by boosting a part based model.
In Proc. of IEEE Conf. on Computer Vision & Pattern Recognition (CVPR), San-Diego CA, June 2005.
Yoram Gdalyahu, Daphna Weinshall and Michael Werman.
Self Organization in Vision: Stochastic Clustering for Image Segmentation, Perceptual Grouping, and Image Database Organization.
IEEE Trans. on Pattern Analysis and Machine Intelligence, 23(10):1053-1074, 2001.
(abstract,
conference version)
David W. Jacobs, Daphna Weinshall and Yoram Gdalyahu.
Classification with Non-Metric Distances: Image Retrieval and Class Representation.
IEEE Trans. on Pattern Analysis and Machine Intelligence, 22(6):583-600, 2000.
(abstract)
Shimon Edelman and Daphna Weinshall.
A self-organizing multiple-view representation of 3D objects.
Biological Cybernetics, 64:209-219, 1991.
Computer Vision
Doron Feldman and Daphna Weinshall.
Motion Segmentation and Depth Ordering Using an Occlusion Detector.
IEEE Trans. on Pattern Analysis and Machine Intelligence (PAMI), 30(7):1171-1185, July 2008
; short workshop publication (affiliated with ECCV 2006)
.
Doron Feldman and Daphna Weinshall.
Realtime IBR with Omnidirectional Crossed-Slits Projection.
In Proc. of 10th IEEE International Conference of Computer Vision (ICCV), Beijing, October 2005.
Doron Feldman, Tomas Pajdla, and Daphna Weinshall.
On the Epipolar Geometry of the Crossed-Slits Projection.
In Proc. of 9th IEEE International Conference of Computer Vision (ICCV), Nice, October 2003.
Assaf Zomet, Doron Feldman, Shmuel Peleg and Daphna Weinshall.
Mosaicing New Views: The Crossed-Slits Projection.
IEEE Trans. on Pattern Analysis and Machine Intelligence, 25(6):741-754, June 2003.
(abstract)
follow-up on:
Daphna Weinshall, Mi-Suen Lee, Tomas Brodsky, Miroslav Trajkovic and Doron Feldman.
New view generation with a bi-centric camera .
In Proc. of 7th European Conference of Computer Vision, Copenhagen, May 2002.
Daphna Weinshall and Michael Werman.
Minimal Decomposition of Model-Based Invariants.
J. Math. Imaging and Vision, 10(1):77-87, 1999.
Daphna Weinshall and Michael Werman.
On View Likelihood and Stability.
IEEE Trans. on Pattern Analysis and Machine Intelligence, 19(2):97-108, 1997.
Ronen Basri and Daphna Weinshall.
Distance Metric between 3D Models and 2D Images for Recognition and Classification.
IEEE Trans. on Pattern Analysis and Machine Intelligence 18(4):465-470, 1996.
(full version)
Daphna Weinshall.
Model-Based Invariants for 3-D Vision.
Int. J. of Computer Vision 10(1):27-42, 1993.
Daphna Weinshall, Mi-Suen Lee, Eric Cohen-Solal and Antonio Colmenarez.
What if cameras could see themselves?
Short version in Proceedings: IEEE Conference on Computer Vision and
Pattern Recognition, I:1026-1033, Hawaii, Dec 2001.
Michal Irani, P. Anandan and Daphna Weinshall.
From Reference Frames to Reference Planes: Multi-View Parallax Geometry and Applications.
In Proc. of 5th European Conference of Computer Vision, Freiburg, June 1998, Springer-Verlag.
.
See related paper under qualitative vision below .
Stefan Carlsson and Daphna Weinshall.
Dual Computation of Projective Shape and Camera Positions from Multiple Images.
Int. J. of Computer Vision 27(3), 1998.
Hagit Zabrodsky and Daphna Weinshall.
Using Bilateral Symmetry to Improve 3-D Reconstruction from Image Sequences.
Computer Vision and Image Understanding, 67(1):48-57, July, 1997.
Daphna Weinshall and Carlo Tomasi.
Linear and Incremental Acquisition of Invariant Shape Models from Image Sequences.
IEEE Trans. on Pattern Analysis and Machine Intelligence, 17(5):512-517, May 1995.
(full version)
Zili Liu and Daphna Weinshall.
Mechanisms of Generalization in Perceptual Learning.
Vision Research 40(1):97-109, 2000.
(abstract)
Daphna Weinshall.
The computation of multiple matching in doubly ambiguous stereograms with transparent planes.
Spatial Vision, 7(2):183-198, 1993.
Daphna Weinshall.
Seeing ``Ghost'' Planes in Stereo Vision.
Vision Research, 31(10):1731-1748, 1991.
Yoram Gdalyahu and Daphna Weinshall.
Flexible Syntactic Matching of Curves and its Application to Automatic Hierarchical Classification of Silhouettes.
IEEE Trans. on Pattern Analysis and Machine Intelligence
21(12), December 1999.
(abstract)
Gilad Halevy and Daphna Weinshall.
Motion of disturbances: detection and tracking of multi-body non-rigid motion.
Machine Vision and Applications, 11(3):122-137, 1999.
(conference version)
Michael Werman and Daphna Weinshall.
Similarity and Affine Invariant Distance Between Point Sets.
IEEE Trans. on Pattern Analysis and Machine Intelligence, 17(8):810-814, August 1995.
Daphna Weinshall, P. Anandan and Michal Irani.
From Ordinal to Euclidean Reconstruction with Partial Scene Calibration.
In Springer LNCS: 3D Structure from Multiple Images of Large Scale Environments, June 1998.
(abstract)
Daphna Weinshall.
Local Shape Approximation from Shading.
J. Math. Imaging & Vision 4(2):119-138, April 1994.
Daphna Weinshall.
Direct Computation of Qualitative 3-D Shape and Motion Invariants.
IEEE Trans. on Pattern Analysis and Machine Intelligence, 13(12):1236-1240, 1991.
Daphna Weinshall.
Qualitative Depth from Stereo, With Applications.
Computer Vision, Graphics, and Image Processing, 49:222-241, 1990.
Cognitive Neuroscience
Rubi Hammer, Gil Diesendruck, Daphna Weinshall and Shaul Hochstein,
The development of category learning strategies: What makes the difference?
Cognition, 112:105-119, 2009.
.
Rubi Hammer, Tomer Hertz, Shaul Hochstein and Daphna Weinshall,
Category Learning from Equivalence Constraints.
Cognitive Processing, 10(3):211-232, 2009
; preliminary conference publication
.
Rubi Hammer, Aharon Bar-Hillel, Tomer Hertz, Daphna Weinshall and Shaul Hochstein,
Comparison Processes in Category Learning: From Theory to Behavior.
Brain Research, 1225:102-118, 2008.
Rubi Hammer, Tomer Hertz, Shaul Hochstein and Daphna Weinshall,
Classification with Positive and Negative Equivalence onstraints: Theory, Computation and Human Experiments.
F. Mele et al. (Eds.): BVAI 2007, LNCS 4729, pp. 264-276, 2007.
Inna Weiner, Tomer Hertz, Israel Nelken and Daphna Weinshall.
Analyzing Auditory Neurons by Learning Distance Functions.
In Advances in Neural Information Processing Systems (NIPS) 2005, MIT Press.
Anna Sorkin, Daphna Weinshall, Ilan Modai and Avi Peled,
Improving the Accuracy of the Diagnosis of Schizophrenia by Means of Virtual Reality.
American Journal of Psychiatry, 163(3):512-520, 2006
; preliminary conference publication -
.
Anna Sorkin, Daphna Weinshall and Avi Peled,
The distortion of reality perception in schizophrenia patients, as measured in Virtual Reality.
In Proc. 16th Annual Medicine Meets Virtual Reality Conference (MMVR), Long Beach CA, Jan 2008
,
full version (TR)
.
Daphna Weinshall.
Cognitive Authentication Schemes Safe Against Spyware.
In Proc. 2006 IEEE Symposium on Security and Privacy (S&P), May 2006.
;
see also extended TR version .
Daphna Weinshall and Scott Kirkpatrick,
Passwords you'll never forget, but can't recall.
In Proc. ACM Conference on Computer Human Interaction (CHI) 2004, Vienna, Austria, April 24-29.
The Evolution of Sex
Ilan Eshel and Daphna Weinshall.
Cooperation in a Repeated Game with Random Payment Function.
J. Appl. Prob. 25:478-491, 1988.
Ilan Eshel and Daphna Weinshall.
Sexual reproduction and viability of future offspring.
American Naturalist, 130(5):775-787, 1987.
Daphna Weinshall and Ilan Eshel .
On the evolution of an optimal rate of sexual reproduction.
American Naturalist, 130(5):758-774, 1987.
Daphna Weinshall.
Why is a two environment system not rich enough to explain the evolution of sex?.
American Naturalist, 128(5):736-750, 1986.