Understanding Deep Face Recognition

Dynamic Dual-Output Diffusion Models.

Autori: Y. Benny, L. Wolf.
Pubblicato in: IEEE Conf. on Computer Vision and Pattern Recognition (CVPR), 2022., 2022
Editore: IEEE Conf. on Computer Vision and Pattern Recognition (CVPR), 2022.

Transformer Interpretability Beyond Attention Visualization

Autori: Hila Chefer Shir Gur Lior Wolf
Pubblicato in: CVPR 2021, 2021
Editore: CVPR

On Infinite-Width Hypernetworks

Autori: Etai Littwin Tomer Galanti Lior Wolf Greg Yang
Pubblicato in: NeurIPS 2020, 2020
Editore: NeurIPS

Denoising Diffusion Error Correction Codes.

Autori: Y. Choukroun, L. Wolf.
Pubblicato in: International Conference on Learning Representations (ICLR), 2023, 2023
Editore: International Conference on Learning Representations (ICLR), 2023

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

Autori: L. Ben-Mosh, S. Benaim, L. Wolf
Pubblicato in: IEEE International Conference on Image Processing (ICIP), 2022., 2022
Editore: IEEE International Conference on Image Processing (ICIP), 2022.

Caption Enriched Samples for Improving Hateful Memes Detection

Autori: Efrat Blaier Itzik Malkiel Lior Wolf
Pubblicato in: EMNLP, 2021
Editore: EMNLP

Anomaly Detection for Tabular Data with Internal Contrastive Learning

Autori: T. Shenkar, L. Wolf.
Pubblicato in: 2022
Editore: International Conference on Learning Representations (ICLR), 2022

Error Correction Code Transformer.

Autori: Y. Choukroun, L. Wolf.
Pubblicato in: Neural Information Processing Systems (NeurIPS), 2022., 2022
Editore: Neural Information Processing Systems (NeurIPS), 2022.

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

Autori: Hila Chefer Shir Gur Lior Wolf
Pubblicato in: ICCV, 2021
Editore: ICCV

Computational Ceramicology

Autori: Barak Itkin Lior Wolf Nachum Dershowitz
Pubblicato in: AAAI 2021, 2021
Editore: AAAI

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

Autori: T. Shaharabany, Y. Tewel, L. Wolf.
Pubblicato in: Neural Information Processing Systems (NeurIPS), 2022., 2022
Editore: Neural Information Processing Systems (NeurIPS), 2022.

HyperHyperNetworks for the Design of Antenna Arrays

Autori: Shahar Lutati Lior Wolf
Pubblicato in: ICML 2021, 2021
Editore: ICML

A Sample Selection Approach for Universal Domain Adaptation

Autori: Omri Lifshitz Lior Wolf
Pubblicato in: AAAI 2021, 2021
Editore: AAAI

Fidelity-based Deep Adiabatic Scheduling

Autori: Eli Ovits, LIor Wolf
Pubblicato in: ICLR 2021, 2021
Editore: ICLR

Explainability Guided Image Classification.

Autori: A. Ali, T. Shaharabany, L. Wolf.
Pubblicato in: 2022
Editore: Medical Imaging with Deep Learning (MIDL)

A Hierarchical Transformation-Discriminating GenerativeModel for Few Shot Anomaly Detection

Autori: Shelly Sheynin Sagie Benaim Lior Wolf
Pubblicato in: ICCV, 2021
Editore: ICCV

Scale-Localized Abstract Reasoning

Autori: Yaniv Benny Niv Pekar Lior Wolf
Pubblicato in: CVPR 2021, 2021
Editore: CVPR

Gradient Adjusting Networks for Domain Inversion.

Autori: E. Sheffi, M. Rotman, L. Wolf
Pubblicato in: Scandinavian Conference on Image Analysis (SCIA), 2023., 2023
Editore: Scandinavian Conference on Image Analysis (SCIA), 2023.

Generating Correct Answers for Progressive Matrices Intelligence Tests

Autori: Niv Pekar, Yaniv Benny, Lior Wolf
Pubblicato in: 34th Conference on Neural Information Processing Systems (NeurIPS 2020), 2020
Editore: NeurIPS

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

Autori: S. Bar-David, I. Zimerman, E. Nachmani, L. Wolf.
Pubblicato in: International Conference on Learning Representations (ICLR), 2023, 2023
Editore: International Conference on Learning Representations (ICLR), 2023

On Random Kernels of Residual Architectures

Autori: E. Littwin, T. Galanti, L. Wolf.
Pubblicato in: AISTATS 2021, 2021
Editore: AISTATS

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

Autori: T. Shaharabany, L. Wolf.
Pubblicato in: International Conference on Medical Image Computing and Computer Assisted Interventions (MICCAI), 2022, 2022
Editore: International Conference on Medical Image Computing and Computer Assisted Interventions (MICCAI), 2022

SCENE GRAPH TO IMAGE GENERATION WITH CONTEXTUALIZED OBJECT LAYOUT REFINEMENT

Autori: Maor Ivgi, Yaniv Benny, Avichai Ben-David, Jonathan Berant, Lior Wolf
Pubblicato in: ICIP 2021, 2021
Editore: ICIP

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

Autori: Y. Choukroun, L. Wolf.
Pubblicato in: International Joint Conference on Artificial Intelligence (IJCAI), 2022., 2022
Editore: International Joint Conference on Artificial Intelligence (IJCAI), 2022.

Zero-Shot Voice Conditioning for Denoising Diffusion TTS Models.

Autori: A. Levkovitch, E. Nachmani, L. Wolf.
Pubblicato in: Annual Conference of the International Speech Communication Association (INTERSPEECH), 2022., 2022
Editore: Annual Conference of the International Speech Communication Association (INTERSPEECH), 2022.

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

Autori: Shir Gur, Ameen Ali, Lior Wolf
Pubblicato in: AAAI 2021, 2021
Editore: AAAI

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

Autori: Y. Tewel, Y. Shalev, I. Schwartz, L. Wolf.
Pubblicato in: IEEE Conf. on Computer Vision and Pattern Recognition (CVPR), 2022. ViewPDF, 2022
Editore: IEEE Conf. on Computer Vision and Pattern Recognition (CVPR), 2022. ViewPDF

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

Autori: Ron Shmelkin Tomer Friedlander Lior Wolf
Pubblicato in: FG 2021, 2021
Editore: FG

Image Animation with Perturbed Masks.

Autori: Y. Shalev, L. Wolf
Pubblicato in: IEEE Conf. on Computer Vision and Pattern Recognition (CVPR), 2022., 2022
Editore: IEEE Conf. on Computer Vision and Pattern Recognition (CVPR), 2022.

MTAdam: Automatic Balancing ofMultiple Training Loss Terms

Autori: Itzik Malkiel Lior Wolf
Pubblicato in: EMNLP 2021, 2021
Editore: EMNLP

Unsupervised Disentanglement with Tensor Product Representations on the Torus.

Autori: M. Rotman, A. Dekel, S. Gur, Y. Oz, L. Wolf.
Pubblicato in: 2022
Editore: International Conference on Learning Representations (ICLR), 2022

Self-Supervised Transformers for fMRI representation.

Autori: I. Malkiel, G. Rosenman, L. Wolf, T. Hendler
Pubblicato in: Medical Imaging with Deep Learning (MIDL), 2022
Editore: Medical Imaging with Deep Learning (MIDL)

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

Autori: R. Cohen Zedek, J. Osin, L. Wolf, G. Gurevitch, T. Hendler.
Pubblicato in: International Conference on Medical Image Computing and Computer Assisted Interventions (MICCAI), 2022, 2022
Editore: International Conference on Medical Image Computing and Computer Assisted Interventions (MICCAI), 2022

XAI for Transformers: Better Explanations through

Autori: A. Ali, T. Schnake, O. Eberle, G. Montavon, K-R. Muller, L. Wolf.
Pubblicato in: Conservative Propagation. International Conference on Machine Learning (ICML), 2022., 2022
Editore: Conservative Propagation. International Conference on Machine Learning (ICML), 2022.

A Formal Approach to Explainability.

Autori: L. Wolf, T. Galanti, T. Hazan
Pubblicato in: Artificial Intelligence, Ethics, and Society (AIES), 2019
Editore: AAAI/ACM

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

Autori: Galanti, Tomer; Wolf, Lior; Benaim, Sagie
Pubblicato in: ICLR, Numero 2, 2018
Editore: ICLR

A Two-Step Disentanglement Method

Autori: Naama Hadad, Lior Wolf, Moni Shahar
Pubblicato in: 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2018, Pagina/e 772-780, ISBN 978-1-5386-6420-9
Editore: IEEE
DOI: 10.1109/cvpr.2018.00087

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

Autori: L. Wolf, S. Benaim, T. Galanti.
Pubblicato in: ICLR, 2019
Editore: ICLR

Regularizing by the Variance of the Activations' Sample-Variances

Autori: Lior Wolf; Etai Littwin
Pubblicato in: NIPS, 2018
Editore: Curran Associates, Inc

Structured GANs

Autori: Irad Peleg, Lior Wolf
Pubblicato in: 2018 IEEE Winter Conference on Applications of Computer Vision (WACV), 2018, Pagina/e 719-728, ISBN 978-1-5386-4886-5
Editore: IEEE
DOI: 10.1109/wacv.2018.00084

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

Autori: O. Press, T. Galanti, S. Benaim, L. Wolf
Pubblicato in: ICLR, 2019
Editore: ICLR

One-Shot Unsupervised Cross Domain Translation

Autori: Benaim, Sagie; Wolf, Lior
Pubblicato in: NIPS, Numero 1, 2018
Editore: Curran Associates, Inc.

Generalization Bounds for Unsupervised Cross-Domain Mapping with WGANs.

Autori: Tomer Galanti, Lior Wolf
Pubblicato in: Integration of Deep Learning Theories NIPS workshop, 2018
Editore: none

One-Sided Unsupervised Domain Mapping

Autori: Benaim, Sagie; Wolf, Lior
Pubblicato in: NIPS, 2017
Editore: NIPS conference

Unsupervised Microvascular Image Segmentation Using an Active Contours Mimicking Neural Network

Autori: Gur, Shir; Wolf, Lior; Golgher, Lior; Blinder, Pablo
Pubblicato in: ICCV, 2019
Editore: CVF/IEEE

Deep Meta Functionals for Shape Representation

Autori: Littwin, Gidi; Wolf, Lior
Pubblicato in: ICCV, 2019
Editore: CVF/IEEE

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

Autori: Michael Michelashvili, Sagie Benaim, Lior Wolf
Pubblicato in: ICASSP 2019 - 2019 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2019, Pagina/e 291-295, ISBN 978-1-4799-8131-1
Editore: IEEE
DOI: 10.1109/icassp.2019.8682443

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

Autori: Etai Littwin, Lior Wolf
Pubblicato in: ICML 2019 Workshop Deep Phenomena homepage, 2019
Editore: NA

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

Autori: Benjamin Klein Lior Wolf
Pubblicato in: 2019
Editore: CVF/IEEE

Bidirectional One-Shot Unsupervised Domain Mapping

Autori: Tomer Cohen Lior Wolf
Pubblicato in: ICCV, 2019
Editore: CVF/IEEE

Single Image Depth Estimation Trained via Depth from Defocus Cues

Autori: Shir Gur Lior Wolf
Pubblicato in: 2019
Editore: CVF/IEEE

Domain Intersection and Domain Difference.

Autori: Sagie Benaim Michael Khaitov Tomer Galanti Lior Wolf
Pubblicato in: 2019
Editore: CVF/IEEE

Specifying Object Attributes and Relations in Interactive Scene Generation.

Autori: Oron Ashual Lior Wolf
Pubblicato in: ICCV, 2019
Editore: CVF/IEEE

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

Autori: W-J. Nam, Shir Gur, J. Choi, Lior Wolf, S-W. Lee.
Pubblicato in: AAAI, 2020
Editore: American Assoc. AI

Meta Decision Trees for Explainable Recommendation Systems

Autori: Eyal Shulman Lior Wolf
Pubblicato in: Artificial Intelligence, Ethics, and Society (AIES), 2020
Editore: AAAI

ScopeFlow: Dynamic Scene Scoping for Optical Flow

Autori: Aviram Bar-HAim Lior Wolf
Pubblicato in: IEEE Computer Vision and Pattern Recognition 2020, 2020
Editore: IEEE

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

Autori: N. Frank, L. Wolf, D. Olshansky, A. Boonman, Y. Yovel.
Pubblicato in: International Conference on Computational Photography (ICCP), 2020
Editore: IEEE

Electric Analog Circuit Design with Hypernetworks and a Differential Simulator.

Autori: Michale Rotman Lior Wolf
Pubblicato in: International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2020
Editore: IEEE

Weakly Supervised Discovery of Semantic Attributes

Autori: A. Ameen, T. Galanti, E. Zheltonozhskii, C. Baskin, L. Wolf
Pubblicato in: Causal Learning and Reasoning (CLeaR), 2022., 2022
Editore: Causal Learning and Reasoning (CLeaR)

Image-based CLIP-Guided Essence Transfer.

Autori: H. Chefer, S. Benaim, R. Paiss, L. Wolf.
Pubblicato in: European Conference on Computer Vision (ECCV), 2022., 2022
Editore: European Conference on Computer Vision (ECCV), 2022.

SHUFFLING RECURRENT NEURAL NETWORKS

Autori: Michael Rotman Lior Wolf
Pubblicato in: AAAI 2021, 2021
Editore: AAAI

Permuted AdaIN: Reducing the Bias TowardsGlobal Statistics in Image Classification

Autori: Oren Nuriel Sagie Benaim Lior Wolf
Pubblicato in: CVPR 2021, 2021
Editore: CVPR

Learning Personal Representations from fMRIby Predicting Neurofeedback Performance

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

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

Autori: Yaniv Benny and Lior Wolf
Pubblicato in: ECCV 2020, 2020
Editore: ECCV 2020

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

Autori: Itzik Malkiel Lior Wolf
Pubblicato in: AAAI 2021, 2021
Editore: AAAI

On the Modularity of Hypernetworks

Autori: Tomer Galanti Lior WOlf
Pubblicato in: NeurIPS 2020, 2020
Editore: NeurIPS 2020

SepIt: Approaching a Single Channel Speech Separation Bound.

Autori: S. Lutati, E. Nachmani, L. Wolf.
Pubblicato in: Annual Conference of the International Speech Communication Association (INTERSPEECH),, 2022
Editore: Annual Conference of the International Speech Communication Association (INTERSPEECH),

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

Autori: R. Paiss, H. Chefer, L. Wolf.
Pubblicato in: European Conference on Computer Vision (ECCV), 2022, 2022
Editore: European Conference on Computer Vision (ECCV), 2022

Many-Speakers Single Channel Speech Separationwith Optimal Permutation Training

Autori: Shaked Dovrat, Eliya Nachmani, Lior Wolf
Pubblicato in: INTERSPEECH 2021, 2021
Editore: INTERSPEECH

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

Autori: Shir Gur, Sagie Benaim, Lior Wolf
Pubblicato in: NeurIPS 2020, 2020
Editore: NeurIPS 2020

HIERARCHICAL TIMBRE-PAINTING AND ARTICULATION GENERATION

Autori: Michael Michelashvili Lior Wolf
Pubblicato in: ISMIR 2020, 2020
Editore: International Society for Music Information Retrieval Conference (ISMIR)

Meta Internal Learning

Autori: Raphael Bensadoun, Shir Gur, Tomer Galanti, Lior Wolf
Pubblicato in: NeurIPS 2021, 2021
Editore: NeuRIPS 2021

Optimizing Relevance Maps of Vision Transformers Improves Robustness.

Autori: H. Chefer, I. Schwartz, L. Wolf.
Pubblicato in: Neural Information Processing Systems (NeurIPS), 2022., 2022
Editore: Neural Information Processing Systems (NeurIPS), 2022.

In Defense of Product Quantization

Autori: Klein, Benjamin; Wolf, Lior
Pubblicato in: arXiv preprint, Numero 2, 2017
Editore: Corr

Visual analogies between Atari games for studying transfer learning

Autori: Doron Sobol, Lior Wolf, Yaniv Taigman
Pubblicato in: arXiv preprint, 2018
Editore: Corr

Generalization Bounds for Unsupervised Cross-Domain Mapping with WGANs

Autori: Galanti, Tomer; Benaim, Sagie; Wolf, Lior
Pubblicato in: arXiv preprint, Numero 1, 2018
Editore: arXiv

Estimating the Success of Unsupervised Image to Image Translation

Autori: Sagie Benaim, Tomer Galanti, Lior Wolf
Pubblicato in: Computer Vision – ECCV 2018 - 15th European Conference, Munich, Germany, September 8–14, 2018, Proceedings, Part V, Numero 11209, 2018, Pagina/e 222-238, ISBN 978-3-030-01227-4
Editore: Springer International Publishing
DOI: 10.1007/978-3-030-01228-1_14

Microvascular Dynamics from 4D Microscopy Using Temporal Segmentation

Autori: Shir Gur, Lior Wolf, Lior Golgher, Pablo Blinder
Pubblicato in: Biocomputing 2020 - Proceedings of the Pacific Symposium, 2020, Pagina/e 331-342, ISBN 978-981-12-1562-9
Editore: WORLD SCIENTIFIC
DOI: 10.1142/9789811215636_0030

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