Understanding Deep Face Recognition

Dynamic Dual-Output Diffusion Models.

Autorzy: Y. Benny, L. Wolf.
Opublikowane w: IEEE Conf. on Computer Vision and Pattern Recognition (CVPR), 2022., 2022
Wydawca: IEEE Conf. on Computer Vision and Pattern Recognition (CVPR), 2022.

Transformer Interpretability Beyond Attention Visualization

Autorzy: Hila Chefer Shir Gur Lior Wolf
Opublikowane w: CVPR 2021, 2021
Wydawca: CVPR

On Infinite-Width Hypernetworks

Autorzy: Etai Littwin Tomer Galanti Lior Wolf Greg Yang
Opublikowane w: NeurIPS 2020, 2020
Wydawca: NeurIPS

Denoising Diffusion Error Correction Codes.

Autorzy: Y. Choukroun, L. Wolf.
Opublikowane w: International Conference on Learning Representations (ICLR), 2023, 2023
Wydawca: International Conference on Learning Representations (ICLR), 2023

FewGAN: Generating from the Joint Distribution of a Few Images.

Autorzy: L. Ben-Mosh, S. Benaim, L. Wolf
Opublikowane w: IEEE International Conference on Image Processing (ICIP), 2022., 2022
Wydawca: IEEE International Conference on Image Processing (ICIP), 2022.

Caption Enriched Samples for Improving Hateful Memes Detection

Autorzy: Efrat Blaier Itzik Malkiel Lior Wolf
Opublikowane w: EMNLP, 2021
Wydawca: EMNLP

Anomaly Detection for Tabular Data with Internal Contrastive Learning

Autorzy: T. Shenkar, L. Wolf.
Opublikowane w: 2022
Wydawca: International Conference on Learning Representations (ICLR), 2022

Error Correction Code Transformer.

Autorzy: Y. Choukroun, L. Wolf.
Opublikowane w: Neural Information Processing Systems (NeurIPS), 2022., 2022
Wydawca: Neural Information Processing Systems (NeurIPS), 2022.

Generic Attention-model Explainability for InterpretingBi-Modal and Encoder-Decoder Transformers

Autorzy: Hila Chefer Shir Gur Lior Wolf
Opublikowane w: ICCV, 2021
Wydawca: ICCV

Computational Ceramicology

Autorzy: Barak Itkin Lior Wolf Nachum Dershowitz
Opublikowane w: AAAI 2021, 2021
Wydawca: AAAI

What is Where by Looking: Weakly-Supervised Open-World Phrase-Grounding without Text Inputs.

Autorzy: T. Shaharabany, Y. Tewel, L. Wolf.
Opublikowane w: Neural Information Processing Systems (NeurIPS), 2022., 2022
Wydawca: Neural Information Processing Systems (NeurIPS), 2022.

HyperHyperNetworks for the Design of Antenna Arrays

Autorzy: Shahar Lutati Lior Wolf
Opublikowane w: ICML 2021, 2021
Wydawca: ICML

A Sample Selection Approach for Universal Domain Adaptation

Autorzy: Omri Lifshitz Lior Wolf
Opublikowane w: AAAI 2021, 2021
Wydawca: AAAI

Fidelity-based Deep Adiabatic Scheduling

Autorzy: Eli Ovits, LIor Wolf
Opublikowane w: ICLR 2021, 2021
Wydawca: ICLR

Explainability Guided Image Classification.

Autorzy: A. Ali, T. Shaharabany, L. Wolf.
Opublikowane w: 2022
Wydawca: Medical Imaging with Deep Learning (MIDL)

A Hierarchical Transformation-Discriminating GenerativeModel for Few Shot Anomaly Detection

Autorzy: Shelly Sheynin Sagie Benaim Lior Wolf
Opublikowane w: ICCV, 2021
Wydawca: ICCV

Scale-Localized Abstract Reasoning

Autorzy: Yaniv Benny Niv Pekar Lior Wolf
Opublikowane w: CVPR 2021, 2021
Wydawca: CVPR

Gradient Adjusting Networks for Domain Inversion.

Autorzy: E. Sheffi, M. Rotman, L. Wolf
Opublikowane w: Scandinavian Conference on Image Analysis (SCIA), 2023., 2023
Wydawca: Scandinavian Conference on Image Analysis (SCIA), 2023.

Generating Correct Answers for Progressive Matrices Intelligence Tests

Autorzy: Niv Pekar, Yaniv Benny, Lior Wolf
Opublikowane w: 34th Conference on Neural Information Processing Systems (NeurIPS 2020), 2020
Wydawca: NeurIPS

Decision S4: Efficient Sequence-Based RL via State Spaces Layers.

Autorzy: S. Bar-David, I. Zimerman, E. Nachmani, L. Wolf.
Opublikowane w: International Conference on Learning Representations (ICLR), 2023, 2023
Wydawca: International Conference on Learning Representations (ICLR), 2023

On Random Kernels of Residual Architectures

Autorzy: E. Littwin, T. Galanti, L. Wolf.
Opublikowane w: AISTATS 2021, 2021
Wydawca: AISTATS

End-to-End Segmentation of Medical Images via Patch-wise Polygons Prediction.

Autorzy: T. Shaharabany, L. Wolf.
Opublikowane w: International Conference on Medical Image Computing and Computer Assisted Interventions (MICCAI), 2022, 2022
Wydawca: International Conference on Medical Image Computing and Computer Assisted Interventions (MICCAI), 2022

SCENE GRAPH TO IMAGE GENERATION WITH CONTEXTUALIZED OBJECT LAYOUT REFINEMENT

Autorzy: Maor Ivgi, Yaniv Benny, Avichai Ben-David, Jonathan Berant, Lior Wolf
Opublikowane w: ICIP 2021, 2021
Wydawca: ICIP

Geometric Transformer for End-to-End Molecule Properties Prediction.

Autorzy: Y. Choukroun, L. Wolf.
Opublikowane w: International Joint Conference on Artificial Intelligence (IJCAI), 2022., 2022
Wydawca: International Joint Conference on Artificial Intelligence (IJCAI), 2022.

Zero-Shot Voice Conditioning for Denoising Diffusion TTS Models.

Autorzy: A. Levkovitch, E. Nachmani, L. Wolf.
Opublikowane w: Annual Conference of the International Speech Communication Association (INTERSPEECH), 2022., 2022
Wydawca: Annual Conference of the International Speech Communication Association (INTERSPEECH), 2022.

Visualization of Supervised and Self-Supervised Neural Networksvia Attribution Guided Factorization

Autorzy: Shir Gur, Ameen Ali, Lior Wolf
Opublikowane w: AAAI 2021, 2021
Wydawca: AAAI

Zero-Shot Image-to-Text Generation for Visual-Semantic Arithmetics.

Autorzy: Y. Tewel, Y. Shalev, I. Schwartz, L. Wolf.
Opublikowane w: IEEE Conf. on Computer Vision and Pattern Recognition (CVPR), 2022. ViewPDF, 2022
Wydawca: IEEE Conf. on Computer Vision and Pattern Recognition (CVPR), 2022. ViewPDF

Generating Master Faces for Dictionary Attacks witha Network-Assisted Latent Space Evolution

Autorzy: Ron Shmelkin Tomer Friedlander Lior Wolf
Opublikowane w: FG 2021, 2021
Wydawca: FG

Image Animation with Perturbed Masks.

Autorzy: Y. Shalev, L. Wolf
Opublikowane w: IEEE Conf. on Computer Vision and Pattern Recognition (CVPR), 2022., 2022
Wydawca: IEEE Conf. on Computer Vision and Pattern Recognition (CVPR), 2022.

MTAdam: Automatic Balancing ofMultiple Training Loss Terms

Autorzy: Itzik Malkiel Lior Wolf
Opublikowane w: EMNLP 2021, 2021
Wydawca: EMNLP

Unsupervised Disentanglement with Tensor Product Representations on the Torus.

Autorzy: M. Rotman, A. Dekel, S. Gur, Y. Oz, L. Wolf.
Opublikowane w: 2022
Wydawca: International Conference on Learning Representations (ICLR), 2022

Self-Supervised Transformers for fMRI representation.

Autorzy: I. Malkiel, G. Rosenman, L. Wolf, T. Hendler
Opublikowane w: Medical Imaging with Deep Learning (MIDL), 2022
Wydawca: Medical Imaging with Deep Learning (MIDL)

fMRI Neurofeedback Learning Patterns are Predictive of Personal and Clinical Traits.

Autorzy: R. Cohen Zedek, J. Osin, L. Wolf, G. Gurevitch, T. Hendler.
Opublikowane w: International Conference on Medical Image Computing and Computer Assisted Interventions (MICCAI), 2022, 2022
Wydawca: International Conference on Medical Image Computing and Computer Assisted Interventions (MICCAI), 2022

XAI for Transformers: Better Explanations through

Autorzy: A. Ali, T. Schnake, O. Eberle, G. Montavon, K-R. Muller, L. Wolf.
Opublikowane w: Conservative Propagation. International Conference on Machine Learning (ICML), 2022., 2022
Wydawca: Conservative Propagation. International Conference on Machine Learning (ICML), 2022.

A Formal Approach to Explainability.

Autorzy: L. Wolf, T. Galanti, T. Hazan
Opublikowane w: Artificial Intelligence, Ethics, and Society (AIES), 2019
Wydawca: AAAI/ACM

The Role of Minimal Complexity Functions in Unsupervised Learning of Semantic Mappings

Autorzy: Galanti, Tomer; Wolf, Lior; Benaim, Sagie
Opublikowane w: ICLR, Numer 2, 2018
Wydawca: ICLR

A Two-Step Disentanglement Method

Autorzy: Naama Hadad, Lior Wolf, Moni Shahar
Opublikowane w: 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2018, Strona(/y) 772-780, ISBN 978-1-5386-6420-9
Wydawca: IEEE
DOI: 10.1109/cvpr.2018.00087

Unsupervised Learning of the Set of Local Maxima. International Conference on Learning Representations (ICLR), 2019.

Autorzy: L. Wolf, S. Benaim, T. Galanti.
Opublikowane w: ICLR, 2019
Wydawca: ICLR

Regularizing by the Variance of the Activations' Sample-Variances

Autorzy: Lior Wolf; Etai Littwin
Opublikowane w: NIPS, 2018
Wydawca: Curran Associates, Inc

Structured GANs

Autorzy: Irad Peleg, Lior Wolf
Opublikowane w: 2018 IEEE Winter Conference on Applications of Computer Vision (WACV), 2018, Strona(/y) 719-728, ISBN 978-1-5386-4886-5
Wydawca: IEEE
DOI: 10.1109/wacv.2018.00084

Emerging Disentanglement in Auto-Encoder Based Unsupervised Image Content Transfer.

Autorzy: O. Press, T. Galanti, S. Benaim, L. Wolf
Opublikowane w: ICLR, 2019
Wydawca: ICLR

One-Shot Unsupervised Cross Domain Translation

Autorzy: Benaim, Sagie; Wolf, Lior
Opublikowane w: NIPS, Numer 1, 2018
Wydawca: Curran Associates, Inc.

Generalization Bounds for Unsupervised Cross-Domain Mapping with WGANs.

Autorzy: Tomer Galanti, Lior Wolf
Opublikowane w: Integration of Deep Learning Theories NIPS workshop, 2018
Wydawca: none

One-Sided Unsupervised Domain Mapping

Autorzy: Benaim, Sagie; Wolf, Lior
Opublikowane w: NIPS, 2017
Wydawca: NIPS conference

Unsupervised Microvascular Image Segmentation Using an Active Contours Mimicking Neural Network

Autorzy: Gur, Shir; Wolf, Lior; Golgher, Lior; Blinder, Pablo
Opublikowane w: ICCV, 2019
Wydawca: CVF/IEEE

Deep Meta Functionals for Shape Representation

Autorzy: Littwin, Gidi; Wolf, Lior
Opublikowane w: ICCV, 2019
Wydawca: CVF/IEEE

Semi-supervised Monaural Singing Voice Separation with a Masking Network Trained on Synthetic Mixtures

Autorzy: Michael Michelashvili, Sagie Benaim, Lior Wolf
Opublikowane w: ICASSP 2019 - 2019 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2019, Strona(/y) 291-295, ISBN 978-1-4799-8131-1
Wydawca: IEEE
DOI: 10.1109/icassp.2019.8682443

On the Convex Behavior of Deep Neural Networks in Relation to the Layers' Width

Autorzy: Etai Littwin, Lior Wolf
Opublikowane w: ICML 2019 Workshop Deep Phenomena homepage, 2019
Wydawca: NA

End-to-End Supervised Product Quantization for Image Search and Retrieval

Autorzy: Benjamin Klein Lior Wolf
Opublikowane w: 2019
Wydawca: CVF/IEEE

Bidirectional One-Shot Unsupervised Domain Mapping

Autorzy: Tomer Cohen Lior Wolf
Opublikowane w: ICCV, 2019
Wydawca: CVF/IEEE

Single Image Depth Estimation Trained via Depth from Defocus Cues

Autorzy: Shir Gur Lior Wolf
Opublikowane w: 2019
Wydawca: CVF/IEEE

Domain Intersection and Domain Difference.

Autorzy: Sagie Benaim Michael Khaitov Tomer Galanti Lior Wolf
Opublikowane w: 2019
Wydawca: CVF/IEEE

Specifying Object Attributes and Relations in Interactive Scene Generation.

Autorzy: Oron Ashual Lior Wolf
Opublikowane w: ICCV, 2019
Wydawca: CVF/IEEE

Relative Attributing Propagation: Interpreting the Comparative Contributions of Individual Units in Deep Neural Networks

Autorzy: W-J. Nam, Shir Gur, J. Choi, Lior Wolf, S-W. Lee.
Opublikowane w: AAAI, 2020
Wydawca: American Assoc. AI

Meta Decision Trees for Explainable Recommendation Systems

Autorzy: Eyal Shulman Lior Wolf
Opublikowane w: Artificial Intelligence, Ethics, and Society (AIES), 2020
Wydawca: AAAI

ScopeFlow: Dynamic Scene Scoping for Optical Flow

Autorzy: Aviram Bar-HAim Lior Wolf
Opublikowane w: IEEE Computer Vision and Pattern Recognition 2020, 2020
Wydawca: IEEE

Comparing vision-based to sonar-based 3D reconstruction.

Autorzy: N. Frank, L. Wolf, D. Olshansky, A. Boonman, Y. Yovel.
Opublikowane w: International Conference on Computational Photography (ICCP), 2020
Wydawca: IEEE

Electric Analog Circuit Design with Hypernetworks and a Differential Simulator.

Autorzy: Michale Rotman Lior Wolf
Opublikowane w: International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2020
Wydawca: IEEE

Weakly Supervised Discovery of Semantic Attributes

Autorzy: A. Ameen, T. Galanti, E. Zheltonozhskii, C. Baskin, L. Wolf
Opublikowane w: Causal Learning and Reasoning (CLeaR), 2022., 2022
Wydawca: Causal Learning and Reasoning (CLeaR)

Image-based CLIP-Guided Essence Transfer.

Autorzy: H. Chefer, S. Benaim, R. Paiss, L. Wolf.
Opublikowane w: European Conference on Computer Vision (ECCV), 2022., 2022
Wydawca: European Conference on Computer Vision (ECCV), 2022.

SHUFFLING RECURRENT NEURAL NETWORKS

Autorzy: Michael Rotman Lior Wolf
Opublikowane w: AAAI 2021, 2021
Wydawca: AAAI

Permuted AdaIN: Reducing the Bias TowardsGlobal Statistics in Image Classification

Autorzy: Oren Nuriel Sagie Benaim Lior Wolf
Opublikowane w: CVPR 2021, 2021
Wydawca: CVPR

Learning Personal Representations from fMRIby Predicting Neurofeedback Performance

Autorzy: Jhonathan Osin,Lior Wolf Guy Gurevitch, Jackob Nimrod Keynan, Tom Fruchtman-Steinbok, Ayelet Or-Borichev, Shira Reznik Balter and Talma Hendler
Opublikowane w: International Conference on Medical Image Computing and Computer Assisted Interventions (MICCAI), 2020
Wydawca: International Conference on Medical Image Computing and Computer Assisted Interventions (MICCAI)

OneGAN: Simultaneous Unsupervised Learningof Conditional Image Generation, ForegroundSegmentation, and Fine-Grained Clustering

Autorzy: Yaniv Benny and Lior Wolf
Opublikowane w: ECCV 2020, 2020
Wydawca: ECCV 2020

MML: Maximal Multiverse Learning for Robust Fine-Tuning of Language Models

Autorzy: Itzik Malkiel Lior Wolf
Opublikowane w: AAAI 2021, 2021
Wydawca: AAAI

On the Modularity of Hypernetworks

Autorzy: Tomer Galanti Lior WOlf
Opublikowane w: NeurIPS 2020, 2020
Wydawca: NeurIPS 2020

SepIt: Approaching a Single Channel Speech Separation Bound.

Autorzy: S. Lutati, E. Nachmani, L. Wolf.
Opublikowane w: Annual Conference of the International Speech Communication Association (INTERSPEECH),, 2022
Wydawca: Annual Conference of the International Speech Communication Association (INTERSPEECH),

No Token Left Behind: Explainability-Aided Image-Text Matching for Image Classification and Generation.

Autorzy: R. Paiss, H. Chefer, L. Wolf.
Opublikowane w: European Conference on Computer Vision (ECCV), 2022, 2022
Wydawca: European Conference on Computer Vision (ECCV), 2022

Many-Speakers Single Channel Speech Separationwith Optimal Permutation Training

Autorzy: Shaked Dovrat, Eliya Nachmani, Lior Wolf
Opublikowane w: INTERSPEECH 2021, 2021
Wydawca: INTERSPEECH

Hierarchical Patch VAE-GAN: Generating Diverse Videos from a Single Sample

Autorzy: Shir Gur, Sagie Benaim, Lior Wolf
Opublikowane w: NeurIPS 2020, 2020
Wydawca: NeurIPS 2020

HIERARCHICAL TIMBRE-PAINTING AND ARTICULATION GENERATION

Autorzy: Michael Michelashvili Lior Wolf
Opublikowane w: ISMIR 2020, 2020
Wydawca: International Society for Music Information Retrieval Conference (ISMIR)

Meta Internal Learning

Autorzy: Raphael Bensadoun, Shir Gur, Tomer Galanti, Lior Wolf
Opublikowane w: NeurIPS 2021, 2021
Wydawca: NeuRIPS 2021

Optimizing Relevance Maps of Vision Transformers Improves Robustness.

Autorzy: H. Chefer, I. Schwartz, L. Wolf.
Opublikowane w: Neural Information Processing Systems (NeurIPS), 2022., 2022
Wydawca: Neural Information Processing Systems (NeurIPS), 2022.

In Defense of Product Quantization

Autorzy: Klein, Benjamin; Wolf, Lior
Opublikowane w: arXiv preprint, Numer 2, 2017
Wydawca: Corr

Visual analogies between Atari games for studying transfer learning

Autorzy: Doron Sobol, Lior Wolf, Yaniv Taigman
Opublikowane w: arXiv preprint, 2018
Wydawca: Corr

Generalization Bounds for Unsupervised Cross-Domain Mapping with WGANs

Autorzy: Galanti, Tomer; Benaim, Sagie; Wolf, Lior
Opublikowane w: arXiv preprint, Numer 1, 2018
Wydawca: arXiv

Estimating the Success of Unsupervised Image to Image Translation

Autorzy: Sagie Benaim, Tomer Galanti, Lior Wolf
Opublikowane w: Computer Vision – ECCV 2018 - 15th European Conference, Munich, Germany, September 8–14, 2018, Proceedings, Part V, Numer 11209, 2018, Strona(/y) 222-238, ISBN 978-3-030-01227-4
Wydawca: Springer International Publishing
DOI: 10.1007/978-3-030-01228-1_14

Microvascular Dynamics from 4D Microscopy Using Temporal Segmentation

Autorzy: Shir Gur, Lior Wolf, Lior Golgher, Pablo Blinder
Opublikowane w: Biocomputing 2020 - Proceedings of the Pacific Symposium, 2020, Strona(/y) 331-342, ISBN 978-981-12-1562-9
Wydawca: WORLD SCIENTIFIC
DOI: 10.1142/9789811215636_0030

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