Daphna Weinshall

Publication Activity (10 Years)

Years Active: 1988-2024
Publications (10 Years): 51

Top Venues

CoRR

ICML

MindCare

EMNLP

Publications

Uri Stern, Daniel Shwartz, Daphna Weinshall
United We Stand: Using Epoch-Wise Agreement of Ensembles to Combat Overfit. AAAI (2024)
Inbal Mishal, Daphna Weinshall
DCoM: Active Learning for All Learners. CoRR (2024)
Shahar Shaul-Ariel, Daphna Weinshall
TEAL: New Selection Strategy for Small Buffers in Experience Replay Class Incremental Learning. CoRR (2024)
Guy Hacohen, Daphna Weinshall
Pruning the Unlabeled Data to Improve Semi-Supervised Learning. CoRR (2023)
Noam Fluss, Guy Hacohen, Daphna Weinshall
Semi-Supervised Learning in the Few-Shot Zero-Shot Scenario. CoRR (2023)
Uri Stern, Daphna Weinshall
Relearning Forgotten Knowledge: on Forgetting, Overfit and Training-Free Ensembles of DNNs. CoRR (2023)
Guy Hacohen, Daphna Weinshall
How to Select Which Active Learning Strategy is Best Suited for Your Specific Problem and Budget. CoRR (2023)
Uri Stern, Daniel Shwartz, Daphna Weinshall
United We Stand: Using Epoch-wise Agreement of Ensembles to Combat Overfit. CoRR (2023)
Guy Hacohen, Daphna Weinshall
How to Select Which Active Learning Strategy is Best Suited for Your Specific Problem and Budget. NeurIPS (2023)
Guy Hacohen, Avihu Dekel, Daphna Weinshall
Active Learning on a Budget: Opposite Strategies Suit High and Low Budgets. CoRR (2022)
Leshem Choshen, Guy Hacohen, Daphna Weinshall, Omri Abend
The Grammar-Learning Trajectories of Neural Language Models. ACL (1) (2022)
Ofer Yehuda, Avihu Dekel, Guy Hacohen, Daphna Weinshall
Active Learning Through a Covering Lens. NeurIPS (2022)
Ofer Yehuda, Avihu Dekel, Guy Hacohen, Daphna Weinshall
Active Learning Through a Covering Lens. CoRR (2022)
Guy Hacohen, Daphna Weinshall
Principal Components Bias in Over-parameterized Linear Models, and its Manifestation in Deep Neural Networks. J. Mach. Learn. Res. 23 (2022)
Daniel Shwartz, Uri Stern, Daphna Weinshall
The Dynamic of Consensus in Deep Networks and the Identification of Noisy Labels. CoRR (2022)
Guy Hacohen, Avihu Dekel, Daphna Weinshall
Active Learning on a Budget: Opposite Strategies Suit High and Low Budgets. ICML (2022)
Roee Cates, Daphna Weinshall
More Is More - Narrowing the Generalization Gap by Adding Classification Heads. CoRR (2021)
Leshem Choshen, Guy Hacohen, Daphna Weinshall, Omri Abend
The Grammar-Learning Trajectories of Neural Language Models. CoRR (2021)
Guy Hacohen, Daphna Weinshall
Convergence Analysis of Over-parameterized Deep Linear Networks, and the Principal Components Bias. CoRR (2021)
Itamar Winter, Daphna Weinshall
Multiclass non-Adversarial Image Synthesis, with Application to Classification from Very Small Sample. CoRR (2020)
Guy Shiran, Daphna Weinshall
Multi-Modal Deep Clustering: Unsupervised Partitioning of Images. ICPR (2020)
Boaz Lerner, Guy Shiran, Daphna Weinshall
Boosting the Performance of Semi-Supervised Learning with Unsupervised Clustering. CoRR (2020)
Idan Azuri, Daphna Weinshall
Learning from Small Data Through Sampling an Implicit Conditional Generative Latent Optimization Model. CoRR (2020)
Idan Azuri, Daphna Weinshall
Generative Latent Implicit Conditional Optimization when Learning from Small Sample. ICPR (2020)
Guy Hacohen, Leshem Choshen, Daphna Weinshall
Let's Agree to Agree: Neural Networks Share Classification Order on Real Datasets. ICML (2020)
Guy Hacohen, Daphna Weinshall
On The Power of Curriculum Learning in Training Deep Networks. CoRR (2019)
Guy Hacohen, Daphna Weinshall
On The Power of Curriculum Learning in Training Deep Networks. ICML (2019)
Guy Hacohen, Daphna Weinshall
All Neural Networks are Created Equal. CoRR (2019)
Gal Katzhendler, Daphna Weinshall
Blurred Images Lead to Bad Local Minima. CoRR (2019)
Gal Katzhendler, Daphna Weinshall
Potential upside of high initial visual acuity? Proc. Natl. Acad. Sci. USA 116 (38) (2019)
Guy Shiran, Daphna Weinshall
Multi-Modal Deep Clustering: Unsupervised Partitioning of Images. CoRR (2019)
Daphna Weinshall, Dan Amir
Theory of Curriculum Learning, with Convex Loss Functions. CoRR (2018)
Daphna Weinshall, Gad Cohen, Dan Amir
Curriculum Learning by Transfer Learning: Theory and Experiments with Deep Networks. ICML (2018)
Daphna Weinshall, Gad Cohen
Curriculum Learning by Transfer Learning: Theory and Experiments with Deep Networks. CoRR (2018)
Matan Ben-Yosef, Daphna Weinshall
Gaussian Mixture Generative Adversarial Networks for Diverse Datasets, and the Unsupervised Clustering of Images. CoRR (2018)
Talia Tron, Yehezkel S. Resheff, Mikhail Bazhmin, Daphna Weinshall, Abraham Peled
ARIMA-based motor anomaly detection in schizophrenia inpatients. BHI (2018)
Talia Tron, Yehezkel S. Resheff, Mikhail Bazhmin, Abraham Peled, Alexander Grinsphoon, Daphna Weinshall
Topic models for automated motor analysis in schizophrenia patients. BSN (2018)
Haim Dubossarsky, Eitan Grossman, Daphna Weinshall
Coming to Your Senses: on Controls and Evaluation Sets in Polysemy Research. EMNLP (2018)
Haim Dubossarsky, Daphna Weinshall, Eitan Grossman
Outta Control: Laws of Semantic Change and Inherent Biases in Word Representation Models. EMNLP (2017)
Talia Tron, Yehezkel S. Resheff, Mikhail Bazhmin, Abraham Peled, Daphna Weinshall
Real-Time Schizophrenia Monitoring Using Wearable Motion Sensitive Devices. MobiHealth (2017)
Yehezkel S. Resheff, Daphna Weinshall
Optimal Linear Imputation with a Convergence Guarantee. ICPRAM (Revised Selected Papers) (2017)
Amit Mandelbaum, Daphna Weinshall
Distance-based Confidence Score for Neural Network Classifiers. CoRR (2017)
Yehezkel S. Resheff, Amit Mandelbom, Daphna Weinshall
Controlling Imbalanced Error in Deep Learning with the Log Bilinear Loss. LIDTA@PKDD/ECML (2017)
Yehezkel S. Resheff, Amit Mandelbaum, Daphna Weinshall
Every Untrue Label is Untrue in its Own Way: Controlling Error Type with the Log Bilinear Loss. CoRR (2017)
Gad Cohen, Daphna Weinshall
Hidden Layers in Perceptual Learning. CVPR (2017)
Daniel Hadar, Talia Tron, Daphna Weinshall
Implicit Media Tagging and Affect Prediction from RGB-D Video of Spontaneous Facial Expressions. FG (2017)
Yehezkel S. Resheff, Daphna Weinshall
Optimized Linear Imputation. ICPRAM (2017)
Talia Tron, Abraham Peled, Alexander Grinsphoon, Daphna Weinshall
Facial expressions and flat affect in schizophrenia, automatic analysis from depth camera data. BHI (2016)
Yehezkel S. Resheff, Shay Rotics, Ran Nathan, Daphna Weinshall
Topic modeling of behavioral modes using sensor data. Int. J. Data Sci. Anal. 1 (1) (2016)
Nomi Vinokurov, Daphna Weinshall
Novelty Detection in MultiClass Scenarios with Incomplete Set of Class Labels. CoRR (2016)
Talia Tron, Abraham Peled, Alexander Grinsphoon, Daphna Weinshall
Differentiating facial incongruity and flatness in schizophrenia, using structured light camera data. EMBC (2016)
Yehezkel S. Resheff, Shay Rotics, Ran Nathan, Daphna Weinshall
Matrix factorization approach to behavioral mode analysis from acceleration data. DSAA (2015)
Nomi Vinokurov, David Arkadir, Eduard Linetsky, Hagai Bergman, Daphna Weinshall
Quantifying Hypomimia in Parkinson Patients Using a Depth Camera. MindCare (2015)
Talia Tron, Abraham Peled, Alexander Grinsphoon, Daphna Weinshall
Automated Facial Expressions Analysis in Schizophrenia: A Continuous Dynamic Approach. MindCare (2015)
Yehezkel S. Resheff, Shay Rotics, Ran Nathan, Daphna Weinshall
Topic Modeling of Behavioral Modes Using Sensor Data. CoRR (2015)
Maria Dyshel, David Arkadir, Hagai Bergman, Daphna Weinshall
Quantifying Levodopa-Induced Dyskinesia Using Depth Camera. ICCV Workshops (2015)
Roi Kliper, Shirley Portuguese, Daphna Weinshall
Prosodic Analysis of Speech and the Underlying Mental State. MindCare (2015)
Chaim Ginzburg, Amit Raphael, Daphna Weinshall
A Cheap System for Vehicle Speed Detection. CoRR (2015)
Alon Zweig, Daphna Weinshall
Hierarchical Regularization Cascade for Joint Learning. ICML (3) (2013)
Uri Shalit, Daphna Weinshall, Gal Chechik
Modeling Musical Influence with Topic Models. ICML (2) (2013)
Daphna Weinshall, Gal Levi, Dmitri Hanukaev
LDA Topic Model with Soft Assignment of Descriptors to Words. ICML (3) (2013)
Daphna Weinshall, Alon Zweig, Hynek Hermansky, Stefan Kombrink, Frank W. Ohl, Jörn Anemüller, Jörg-Hendrik Bach, Luc Van Gool, Fabian Nater, Tomás Pajdla, Michal Havlena, Misha Pavel
Beyond Novelty Detection: Incongruent Events, When General and Specific Classifiers Disagree. IEEE Trans. Pattern Anal. Mach. Intell. 34 (10) (2012)
Uri Shalit, Daphna Weinshall, Gal Chechik
Online Learning in the Embedded Manifold of Low-rank Matrices. J. Mach. Learn. Res. 13 (2012)
Amir Rosenfeld, Daphna Weinshall
Extracting foreground masks towards object recognition. ICCV (2011)
Roi Kliper, Hendrik Kayser, Daphna Weinshall, Israel Nelken, Jörn Anemüller
Monaural Azimuth Localization Using Spectral Dynamics of Speech. INTERSPEECH (2011)
Roi Kliper, Yonatan Vaizman, Daphna Weinshall, Shirley Portuguese
Evidence for depression and schizophrenia in speech prosody. ExLing (2010)
Roi Kliper, Thomas Serre, Daphna Weinshall, Israel Nelken
The story of a single cell: Peeking into the semantics of spikes. CIP (2010)
Uri Shalit, Daphna Weinshall, Gal Chechik
Online Learning in The Manifold of Low-Rank Matrices. NIPS (2010)
Rubi Hammer, André Brechmann, Frank W. Ohl, Daphna Weinshall, Shaul Hochstein
Differential category learning processes: The neural basis of comparison-based learning and induction. NeuroImage 52 (2) (2010)
Avishai Hendel, Daphna Weinshall, Shmuel Peleg
Identifying Surprising Events in Videos Using Bayesian Topic Models. ACCV (3) (2010)
Rubi Hammer, Tomer Hertz, Shaul Hochstein, Daphna Weinshall
Category learning from equivalence constraints. Cogn. Process. 10 (3) (2009)
Anna Sorkin, Daphna Weinshall, Avi Peled
The distortion of reality perception in schizophrenia patients, as measured in Virtual Reality. MMVR (2008)
Daphna Weinshall, Hynek Hermansky, Alon Zweig, Jie Luo, Holly Brügge Jimison, Frank W. Ohl, Misha Pavel
Beyond Novelty Detection: Incongruent Events, when General and Specific Classifiers Disagree. NIPS (2008)
Doron Feldman, Daphna Weinshall
Motion Segmentation and Depth Ordering Using an Occlusion Detector. IEEE Trans. Pattern Anal. Mach. Intell. 30 (7) (2008)
Aharon Bar-Hillel, Daphna Weinshall
Efficient Learning of Relational Object Class Models. Int. J. Comput. Vis. 77 (1-3) (2008)
Aharon Bar-Hillel, Daphna Weinshall
Learning distance function by coding similarity. ICML (2007)
Daphna Weinshall, Lior Zamir
Image Classification from Small Sample, with Distance Learning and Feature Selection. ISVC (2) (2007)
Rubi Hammer, Tomer Hertz, Shaul Hochstein, Daphna Weinshall
Classification with Positive and Negative Equivalence Constraints: Theory, Computation and Human Experiments. BVAI (2007)
Alon Zweig, Daphna Weinshall
Exploiting Object Hierarchy: Combining Models from Different Category Levels. ICCV (2007)
Tomer Hertz, Aharon Bar-Hillel, Daphna Weinshall
Learning a kernel function for classification with small training samples. ICML (2006)
Daphna Weinshall
Cognitive Authentication Schemes Safe Against Spyware (Short Paper). IEEE Symposium on Security and Privacy (2006)
Doron Feldman, Daphna Weinshall
Motion Segmentation Using an Occlusion Detector. WDV (2006)
Aharon Bar-Hillel, Daphna Weinshall
Subordinate class recognition using relational object models. NIPS (2006)
Doron Feldman, Daphna Weinshall
Realtime IBR with Omnidirectional Crossed-Slits Projection. ICCV (2005)
Aharon Bar-Hillel, Tomer Hertz, Daphna Weinshall
Object Class Recognition by Boosting a Part-Based Model. CVPR (1) (2005)
Aharon Bar-Hillel, Tomer Hertz, Daphna Weinshall
Efficient Learning of Relational Object Class Models. ICCV (2005)
Aharon Bar-Hillel, Tomer Hertz, Noam Shental, Daphna Weinshall
Learning a Mahalanobis Metric from Equivalence Constraints. J. Mach. Learn. Res. 6 (2005)
Inna Weiner, Tomer Hertz, Israel Nelken, Daphna Weinshall
Analyzing Auditory Neurons by Learning Distance Functions. NIPS (2005)
Daphna Weinshall, Scott Kirkpatrick
Passwords you'll never forget, but can't recall. CHI Extended Abstracts (2004)
Tomer Hertz, Aharon Bar-Hillel, Daphna Weinshall
Learning Distance Functions for Image Retrieval. CVPR (2) (2004)
Tomer Hertz, Aharon Bar-Hillel, Daphna Weinshall
Boosting margin based distance functions for clustering. ICML (2004)
Aharon Bar-Hillel, Tomer Hertz, Noam Shental, Daphna Weinshall
Learning Distance Functions using Equivalence Relations. ICML (2003)
Assaf Zomet, Doron Feldman, Shmuel Peleg, Daphna Weinshall
Mosaicing New Views: The Crossed-Slits Projection. IEEE Trans. Pattern Anal. Mach. Intell. 25 (6) (2003)
Aharon Bar-Hillel, Daphna Weinshall
Learning with Equivalence Constraints and the Relation to Multiclass Learning. COLT (2003)
Noam Shental, Aharon Bar-Hillel, Tomer Hertz, Daphna Weinshall
Computing Gaussian Mixture Models with EM Using Equivalence Constraints. NIPS (2003)
Doron Feldman, Tomás Pajdla, Daphna Weinshall
On the Epipolar Geometry of the Crossed-Slits Projection. ICCV (2003)
Tomer Hertz, Noam Shental, Aharon Bar-Hillel, Daphna Weinshall
Enhancing Image and Video Retrieval: Learning via Equivalence Constraint. CVPR (2) (2003)
Daphna Weinshall, Mi-Suen Lee, Tomás Brodský, M. Trajkovic, Doron Feldman
New View Generation with a Bi-centric Camera. ECCV (1) (2002)
Noam Shental, Tomer Hertz, Daphna Weinshall, Misha Pavel
Adjustment Learning and Relevant Component Analysis. ECCV (4) (2002)
Yoram Gdalyahu, Daphna Weinshall, Michael Werman
Self-Organization in Vision: Stochastic Clustering for Image Segmentation, Perceptual Grouping, and Image Database Organization. IEEE Trans. Pattern Anal. Mach. Intell. 23 (10) (2001)

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Publication Activity (10 Years)

Top Topics

Top Venues

Daphna Weinshall