Understanding Deep Face Recognition

Dynamic Dual-Output Diffusion Models.

Autores: Y. Benny, L. Wolf.
Publicado en: IEEE Conf. on Computer Vision and Pattern Recognition (CVPR), 2022., 2022
Editor: IEEE Conf. on Computer Vision and Pattern Recognition (CVPR), 2022.

Transformer Interpretability Beyond Attention Visualization

Autores: Hila Chefer Shir Gur Lior Wolf
Publicado en: CVPR 2021, 2021
Editor: CVPR

On Infinite-Width Hypernetworks

Autores: Etai Littwin Tomer Galanti Lior Wolf Greg Yang
Publicado en: NeurIPS 2020, 2020
Editor: NeurIPS

Denoising Diffusion Error Correction Codes.

Autores: Y. Choukroun, L. Wolf.
Publicado en: International Conference on Learning Representations (ICLR), 2023, 2023
Editor: International Conference on Learning Representations (ICLR), 2023

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

Autores: L. Ben-Mosh, S. Benaim, L. Wolf
Publicado en: IEEE International Conference on Image Processing (ICIP), 2022., 2022
Editor: IEEE International Conference on Image Processing (ICIP), 2022.

Caption Enriched Samples for Improving Hateful Memes Detection

Autores: Efrat Blaier Itzik Malkiel Lior Wolf
Publicado en: EMNLP, 2021
Editor: EMNLP

Anomaly Detection for Tabular Data with Internal Contrastive Learning

Autores: T. Shenkar, L. Wolf.
Publicado en: 2022
Editor: International Conference on Learning Representations (ICLR), 2022

Error Correction Code Transformer.

Autores: Y. Choukroun, L. Wolf.
Publicado en: Neural Information Processing Systems (NeurIPS), 2022., 2022
Editor: Neural Information Processing Systems (NeurIPS), 2022.

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

Autores: Hila Chefer Shir Gur Lior Wolf
Publicado en: ICCV, 2021
Editor: ICCV

Computational Ceramicology

Autores: Barak Itkin Lior Wolf Nachum Dershowitz
Publicado en: AAAI 2021, 2021
Editor: AAAI

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

Autores: T. Shaharabany, Y. Tewel, L. Wolf.
Publicado en: Neural Information Processing Systems (NeurIPS), 2022., 2022
Editor: Neural Information Processing Systems (NeurIPS), 2022.

HyperHyperNetworks for the Design of Antenna Arrays

Autores: Shahar Lutati Lior Wolf
Publicado en: ICML 2021, 2021
Editor: ICML

A Sample Selection Approach for Universal Domain Adaptation

Autores: Omri Lifshitz Lior Wolf
Publicado en: AAAI 2021, 2021
Editor: AAAI

Fidelity-based Deep Adiabatic Scheduling

Autores: Eli Ovits, LIor Wolf
Publicado en: ICLR 2021, 2021
Editor: ICLR

Explainability Guided Image Classification.

Autores: A. Ali, T. Shaharabany, L. Wolf.
Publicado en: 2022
Editor: Medical Imaging with Deep Learning (MIDL)

A Hierarchical Transformation-Discriminating GenerativeModel for Few Shot Anomaly Detection

Autores: Shelly Sheynin Sagie Benaim Lior Wolf
Publicado en: ICCV, 2021
Editor: ICCV

Scale-Localized Abstract Reasoning

Autores: Yaniv Benny Niv Pekar Lior Wolf
Publicado en: CVPR 2021, 2021
Editor: CVPR

Gradient Adjusting Networks for Domain Inversion.

Autores: E. Sheffi, M. Rotman, L. Wolf
Publicado en: Scandinavian Conference on Image Analysis (SCIA), 2023., 2023
Editor: Scandinavian Conference on Image Analysis (SCIA), 2023.

Generating Correct Answers for Progressive Matrices Intelligence Tests

Autores: Niv Pekar, Yaniv Benny, Lior Wolf
Publicado en: 34th Conference on Neural Information Processing Systems (NeurIPS 2020), 2020
Editor: NeurIPS

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

Autores: S. Bar-David, I. Zimerman, E. Nachmani, L. Wolf.
Publicado en: International Conference on Learning Representations (ICLR), 2023, 2023
Editor: International Conference on Learning Representations (ICLR), 2023

On Random Kernels of Residual Architectures

Autores: E. Littwin, T. Galanti, L. Wolf.
Publicado en: AISTATS 2021, 2021
Editor: AISTATS

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

Autores: T. Shaharabany, L. Wolf.
Publicado en: International Conference on Medical Image Computing and Computer Assisted Interventions (MICCAI), 2022, 2022
Editor: International Conference on Medical Image Computing and Computer Assisted Interventions (MICCAI), 2022

SCENE GRAPH TO IMAGE GENERATION WITH CONTEXTUALIZED OBJECT LAYOUT REFINEMENT

Autores: Maor Ivgi, Yaniv Benny, Avichai Ben-David, Jonathan Berant, Lior Wolf
Publicado en: ICIP 2021, 2021
Editor: ICIP

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

Autores: Y. Choukroun, L. Wolf.
Publicado en: International Joint Conference on Artificial Intelligence (IJCAI), 2022., 2022
Editor: International Joint Conference on Artificial Intelligence (IJCAI), 2022.

Zero-Shot Voice Conditioning for Denoising Diffusion TTS Models.

Autores: A. Levkovitch, E. Nachmani, L. Wolf.
Publicado en: Annual Conference of the International Speech Communication Association (INTERSPEECH), 2022., 2022
Editor: Annual Conference of the International Speech Communication Association (INTERSPEECH), 2022.

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

Autores: Shir Gur, Ameen Ali, Lior Wolf
Publicado en: AAAI 2021, 2021
Editor: AAAI

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

Autores: Y. Tewel, Y. Shalev, I. Schwartz, L. Wolf.
Publicado en: IEEE Conf. on Computer Vision and Pattern Recognition (CVPR), 2022. ViewPDF, 2022
Editor: IEEE Conf. on Computer Vision and Pattern Recognition (CVPR), 2022. ViewPDF

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

Autores: Ron Shmelkin Tomer Friedlander Lior Wolf
Publicado en: FG 2021, 2021
Editor: FG

Image Animation with Perturbed Masks.

Autores: Y. Shalev, L. Wolf
Publicado en: IEEE Conf. on Computer Vision and Pattern Recognition (CVPR), 2022., 2022
Editor: IEEE Conf. on Computer Vision and Pattern Recognition (CVPR), 2022.

MTAdam: Automatic Balancing ofMultiple Training Loss Terms

Autores: Itzik Malkiel Lior Wolf
Publicado en: EMNLP 2021, 2021
Editor: EMNLP

Unsupervised Disentanglement with Tensor Product Representations on the Torus.

Autores: M. Rotman, A. Dekel, S. Gur, Y. Oz, L. Wolf.
Publicado en: 2022
Editor: International Conference on Learning Representations (ICLR), 2022

Self-Supervised Transformers for fMRI representation.

Autores: I. Malkiel, G. Rosenman, L. Wolf, T. Hendler
Publicado en: Medical Imaging with Deep Learning (MIDL), 2022
Editor: Medical Imaging with Deep Learning (MIDL)

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

Autores: R. Cohen Zedek, J. Osin, L. Wolf, G. Gurevitch, T. Hendler.
Publicado en: International Conference on Medical Image Computing and Computer Assisted Interventions (MICCAI), 2022, 2022
Editor: International Conference on Medical Image Computing and Computer Assisted Interventions (MICCAI), 2022

XAI for Transformers: Better Explanations through

Autores: A. Ali, T. Schnake, O. Eberle, G. Montavon, K-R. Muller, L. Wolf.
Publicado en: Conservative Propagation. International Conference on Machine Learning (ICML), 2022., 2022
Editor: Conservative Propagation. International Conference on Machine Learning (ICML), 2022.

A Formal Approach to Explainability.

Autores: L. Wolf, T. Galanti, T. Hazan
Publicado en: Artificial Intelligence, Ethics, and Society (AIES), 2019
Editor: AAAI/ACM

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

Autores: Galanti, Tomer; Wolf, Lior; Benaim, Sagie
Publicado en: ICLR, Edición 2, 2018
Editor: ICLR

A Two-Step Disentanglement Method

Autores: Naama Hadad, Lior Wolf, Moni Shahar
Publicado en: 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2018, Página(s) 772-780, ISBN 978-1-5386-6420-9
Editor: IEEE
DOI: 10.1109/cvpr.2018.00087

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

Autores: L. Wolf, S. Benaim, T. Galanti.
Publicado en: ICLR, 2019
Editor: ICLR

Regularizing by the Variance of the Activations' Sample-Variances

Autores: Lior Wolf; Etai Littwin
Publicado en: NIPS, 2018
Editor: Curran Associates, Inc

Structured GANs

Autores: Irad Peleg, Lior Wolf
Publicado en: 2018 IEEE Winter Conference on Applications of Computer Vision (WACV), 2018, Página(s) 719-728, ISBN 978-1-5386-4886-5
Editor: IEEE
DOI: 10.1109/wacv.2018.00084

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

Autores: O. Press, T. Galanti, S. Benaim, L. Wolf
Publicado en: ICLR, 2019
Editor: ICLR

One-Shot Unsupervised Cross Domain Translation

Autores: Benaim, Sagie; Wolf, Lior
Publicado en: NIPS, Edición 1, 2018
Editor: Curran Associates, Inc.

Generalization Bounds for Unsupervised Cross-Domain Mapping with WGANs.

Autores: Tomer Galanti, Lior Wolf
Publicado en: Integration of Deep Learning Theories NIPS workshop, 2018
Editor: none

One-Sided Unsupervised Domain Mapping

Autores: Benaim, Sagie; Wolf, Lior
Publicado en: NIPS, 2017
Editor: NIPS conference

Unsupervised Microvascular Image Segmentation Using an Active Contours Mimicking Neural Network

Autores: Gur, Shir; Wolf, Lior; Golgher, Lior; Blinder, Pablo
Publicado en: ICCV, 2019
Editor: CVF/IEEE

Deep Meta Functionals for Shape Representation

Autores: Littwin, Gidi; Wolf, Lior
Publicado en: ICCV, 2019
Editor: CVF/IEEE

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

Autores: Michael Michelashvili, Sagie Benaim, Lior Wolf
Publicado en: ICASSP 2019 - 2019 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2019, Página(s) 291-295, ISBN 978-1-4799-8131-1
Editor: IEEE
DOI: 10.1109/icassp.2019.8682443

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

Autores: Etai Littwin, Lior Wolf
Publicado en: ICML 2019 Workshop Deep Phenomena homepage, 2019
Editor: NA

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

Autores: Benjamin Klein Lior Wolf
Publicado en: 2019
Editor: CVF/IEEE

Bidirectional One-Shot Unsupervised Domain Mapping

Autores: Tomer Cohen Lior Wolf
Publicado en: ICCV, 2019
Editor: CVF/IEEE

Single Image Depth Estimation Trained via Depth from Defocus Cues

Autores: Shir Gur Lior Wolf
Publicado en: 2019
Editor: CVF/IEEE

Domain Intersection and Domain Difference.

Autores: Sagie Benaim Michael Khaitov Tomer Galanti Lior Wolf
Publicado en: 2019
Editor: CVF/IEEE

Specifying Object Attributes and Relations in Interactive Scene Generation.

Autores: Oron Ashual Lior Wolf
Publicado en: ICCV, 2019
Editor: CVF/IEEE

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

Autores: W-J. Nam, Shir Gur, J. Choi, Lior Wolf, S-W. Lee.
Publicado en: AAAI, 2020
Editor: American Assoc. AI

Meta Decision Trees for Explainable Recommendation Systems

Autores: Eyal Shulman Lior Wolf
Publicado en: Artificial Intelligence, Ethics, and Society (AIES), 2020
Editor: AAAI

ScopeFlow: Dynamic Scene Scoping for Optical Flow

Autores: Aviram Bar-HAim Lior Wolf
Publicado en: IEEE Computer Vision and Pattern Recognition 2020, 2020
Editor: IEEE

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

Autores: N. Frank, L. Wolf, D. Olshansky, A. Boonman, Y. Yovel.
Publicado en: International Conference on Computational Photography (ICCP), 2020
Editor: IEEE

Electric Analog Circuit Design with Hypernetworks and a Differential Simulator.

Autores: Michale Rotman Lior Wolf
Publicado en: International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2020
Editor: IEEE

Weakly Supervised Discovery of Semantic Attributes

Autores: A. Ameen, T. Galanti, E. Zheltonozhskii, C. Baskin, L. Wolf
Publicado en: Causal Learning and Reasoning (CLeaR), 2022., 2022
Editor: Causal Learning and Reasoning (CLeaR)

Image-based CLIP-Guided Essence Transfer.

Autores: H. Chefer, S. Benaim, R. Paiss, L. Wolf.
Publicado en: European Conference on Computer Vision (ECCV), 2022., 2022
Editor: European Conference on Computer Vision (ECCV), 2022.

SHUFFLING RECURRENT NEURAL NETWORKS

Autores: Michael Rotman Lior Wolf
Publicado en: AAAI 2021, 2021
Editor: AAAI

Permuted AdaIN: Reducing the Bias TowardsGlobal Statistics in Image Classification

Autores: Oren Nuriel Sagie Benaim Lior Wolf
Publicado en: CVPR 2021, 2021
Editor: CVPR

Learning Personal Representations from fMRIby Predicting Neurofeedback Performance

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

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

Autores: Yaniv Benny and Lior Wolf
Publicado en: ECCV 2020, 2020
Editor: ECCV 2020

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

Autores: Itzik Malkiel Lior Wolf
Publicado en: AAAI 2021, 2021
Editor: AAAI

On the Modularity of Hypernetworks

Autores: Tomer Galanti Lior WOlf
Publicado en: NeurIPS 2020, 2020
Editor: NeurIPS 2020

SepIt: Approaching a Single Channel Speech Separation Bound.

Autores: S. Lutati, E. Nachmani, L. Wolf.
Publicado en: Annual Conference of the International Speech Communication Association (INTERSPEECH),, 2022
Editor: Annual Conference of the International Speech Communication Association (INTERSPEECH),

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

Autores: R. Paiss, H. Chefer, L. Wolf.
Publicado en: European Conference on Computer Vision (ECCV), 2022, 2022
Editor: European Conference on Computer Vision (ECCV), 2022

Many-Speakers Single Channel Speech Separationwith Optimal Permutation Training

Autores: Shaked Dovrat, Eliya Nachmani, Lior Wolf
Publicado en: INTERSPEECH 2021, 2021
Editor: INTERSPEECH

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

Autores: Shir Gur, Sagie Benaim, Lior Wolf
Publicado en: NeurIPS 2020, 2020
Editor: NeurIPS 2020

HIERARCHICAL TIMBRE-PAINTING AND ARTICULATION GENERATION

Autores: Michael Michelashvili Lior Wolf
Publicado en: ISMIR 2020, 2020
Editor: International Society for Music Information Retrieval Conference (ISMIR)

Meta Internal Learning

Autores: Raphael Bensadoun, Shir Gur, Tomer Galanti, Lior Wolf
Publicado en: NeurIPS 2021, 2021
Editor: NeuRIPS 2021

Optimizing Relevance Maps of Vision Transformers Improves Robustness.

Autores: H. Chefer, I. Schwartz, L. Wolf.
Publicado en: Neural Information Processing Systems (NeurIPS), 2022., 2022
Editor: Neural Information Processing Systems (NeurIPS), 2022.

In Defense of Product Quantization

Autores: Klein, Benjamin; Wolf, Lior
Publicado en: arXiv preprint, Edición 2, 2017
Editor: Corr

Visual analogies between Atari games for studying transfer learning

Autores: Doron Sobol, Lior Wolf, Yaniv Taigman
Publicado en: arXiv preprint, 2018
Editor: Corr

Generalization Bounds for Unsupervised Cross-Domain Mapping with WGANs

Autores: Galanti, Tomer; Benaim, Sagie; Wolf, Lior
Publicado en: arXiv preprint, Edición 1, 2018
Editor: arXiv

Estimating the Success of Unsupervised Image to Image Translation

Autores: Sagie Benaim, Tomer Galanti, Lior Wolf
Publicado en: Computer Vision – ECCV 2018 - 15th European Conference, Munich, Germany, September 8–14, 2018, Proceedings, Part V, Edición 11209, 2018, Página(s) 222-238, ISBN 978-3-030-01227-4
Editor: Springer International Publishing
DOI: 10.1007/978-3-030-01228-1_14

Microvascular Dynamics from 4D Microscopy Using Temporal Segmentation

Autores: Shir Gur, Lior Wolf, Lior Golgher, Pablo Blinder
Publicado en: Biocomputing 2020 - Proceedings of the Pacific Symposium, 2020, Página(s) 331-342, ISBN 978-981-12-1562-9
Editor: WORLD SCIENTIFIC
DOI: 10.1142/9789811215636_0030

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