Lior Wolf

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Facebook ∙ Tel Aviv University

Research Scientist at Facebook AI Research and Faculty member at Tel Aviv University

In Defense of the Learning Without Forgetting for Task Incremental Learning

Catastrophic forgetting is one of the major challenges on the road for c...
07/26/2021 ∙ by Guy Oren, et al. ∙ 0 ∙ share

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Non Gaussian Denoising Diffusion Models

Generative diffusion processes are an emerging and effective tool for im...
06/14/2021 ∙ by Eliya Nachmani, et al. ∙ 0 ∙ share

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Recovering AES Keys with a Deep Cold Boot Attack

Cold boot attacks inspect the corrupted random access memory soon after ...
06/09/2021 ∙ by Itamar Zimerman, et al. ∙ 0 ∙ share

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Natural Statistics of Network Activations and Implications for Knowledge Distillation

In a matter that is analog to the study of natural image statistics, we ...
06/01/2021 ∙ by Michael Rotman, et al. ∙ 0 ∙ share

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Identity and Attribute Preserving Thumbnail Upscaling

We consider the task of upscaling a low resolution thumbnail image of a ...
05/30/2021 ∙ by Noam Gat, et al. ∙ 6 ∙ share

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HyperHyperNetworks for the Design of Antenna Arrays

We present deep learning methods for the design of arrays and single ins...
05/09/2021 ∙ by Shahar Lutati, et al. ∙ 25 ∙ share

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A Hierarchical Transformation-Discriminating Generative Model for Few Shot Anomaly Detection

Anomaly detection, the task of identifying unusual samples in data, ofte...
04/29/2021 ∙ by Shelly Sheynin, et al. ∙ 16 ∙ share

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Many-Speakers Single Channel Speech Separation with Optimal Permutation Training

Single channel speech separation has experienced great progress in the l...
04/18/2021 ∙ by Shaked Dovrat, et al. ∙ 0 ∙ share

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Noise Estimation for Generative Diffusion Models

Generative diffusion models have emerged as leading models in speech and...
04/06/2021 ∙ by Robin San-Roman, et al. ∙ 0 ∙ share

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Adaptive Gradient Balancing for UndersampledMRI Reconstruction and Image-to-Image Translation

Recent accelerated MRI reconstruction models have used Deep Neural Netwo...
04/05/2021 ∙ by Itzik Malkiel, et al. ∙ 23 ∙ share

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Generic Attention-model Explainability for Interpreting Bi-Modal and Encoder-Decoder Transformers

Transformers are increasingly dominating multi-modal reasoning tasks, su...
03/29/2021 ∙ by Hila Chefer, et al. ∙ 16 ∙ share

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Explainability Guided Multi-Site COVID-19 CT Classification

Radiologist examination of chest CT is an effective way for screening CO...
03/25/2021 ∙ by Ameen Ali, et al. ∙ 0 ∙ share

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Intersection Regularization for Extracting Semantic Attributes

We consider the problem of supervised classification, such that the feat...
03/22/2021 ∙ by Ameen Ali, et al. ∙ 20 ∙ share

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High Fidelity Speech Regeneration with Application to Speech Enhancement

Speech enhancement has seen great improvement in recent years mainly thr...
01/31/2021 ∙ by Adam Polyak, et al. ∙ 0 ∙ share

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HyperSeg: Patch-wise Hypernetwork for Real-time Semantic Segmentation

We present a novel, real-time, semantic segmentation network in which th...
12/21/2020 ∙ by Yuval Nirkin, et al. ∙ 14 ∙ share

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Transformer Interpretability Beyond Attention Visualization

Self-attention techniques, and specifically Transformers, are dominating...
12/17/2020 ∙ by Hila Chefer, et al. ∙ 69 ∙ share

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Visualization of Supervised and Self-Supervised Neural Networks via Attribution Guided Factorization

Neural network visualization techniques mark image locations by their re...
12/03/2020 ∙ by Shir Gur, et al. ∙ 38 ∙ share

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Single-Shot Freestyle Dance Reenactment

The task of motion transfer between a source dancer and a target person ...
12/02/2020 ∙ by Oran Gafni, et al. ∙ 0 ∙ share

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Image Animation with Perturbed Masks

We present a novel approach for image-animation of a source image by a d...
11/13/2020 ∙ by Yoav Shalev, et al. ∙ 0 ∙ share

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Single channel voice separation for unknown number of speakers under reverberant and noisy settings

We present a unified network for voice separation of an unknown number o...
11/04/2020 ∙ by Shlomo E. Chazan, et al. ∙ 0 ∙ share

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Generating Correct Answers for Progressive Matrices Intelligence Tests

Raven's Progressive Matrices are multiple-choice intelligence tests, whe...
11/01/2020 ∙ by Niv Pekar, et al. ∙ 0 ∙ share

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Permuted AdaIN: Enhancing the Representation of Local Cues in Image Classifiers

Recent work has shown that convolutional neural network classifiers over...
10/09/2020 ∙ by Oren Nuriel, et al. ∙ 24 ∙ share

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Scene Graph to Image Generation with Contextualized Object Layout Refinement

Generating high-quality images from scene graphs, that is, graphs that d...
09/23/2020 ∙ by Maor Ivgi, et al. ∙ 23 ∙ share

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Scale-Localized Abstract Reasoning

We consider the abstract relational reasoning task, which is commonly us...
09/20/2020 ∙ by Yaniv Benny, et al. ∙ 0 ∙ share

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Hierarchical Timbre-Painting and Articulation Generation

We present a fast and high-fidelity method for music generation, based o...
08/30/2020 ∙ by Michael Michelashvili, et al. ∙ 0 ∙ share

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DeepFake Detection Based on the Discrepancy Between the Face and its Context

We propose a method for detecting face swapping and other identity manip...
08/27/2020 ∙ by Yuval Nirkin, et al. ∙ 0 ∙ share

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Unsupervised Cross-Domain Singing Voice Conversion

We present a wav-to-wav generative model for the task of singing voice c...
08/06/2020 ∙ by Adam Polyak, et al. ∙ 0 ∙ share

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Shuffling Recurrent Neural Networks

We propose a novel recurrent neural network model, where the hidden stat...
07/14/2020 ∙ by Michael Rotman, et al. ∙ 0 ∙ share

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Data Augmenting Contrastive Learning of Speech Representations in the Time Domain

Contrastive Predictive Coding (CPC), based on predicting future segments...
07/02/2020 ∙ by Eugene Kharitonov, et al. ∙ 0 ∙ share

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MTAdam: Automatic Balancing of Multiple Training Loss Terms

When training neural models, it is common to combine multiple loss terms...
06/25/2020 ∙ by Itzik Malkiel, et al. ∙ 0 ∙ share

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A Novel Approach for Correcting Multiple Discrete Rigid In-Plane Motions Artefacts in MRI Scans

Motion artefacts created by patient motion during an MRI scan occur freq...
06/24/2020 ∙ by Michael Rotman, et al. ∙ 12 ∙ share

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

We consider the task of generating diverse and novel videos from a singl...
06/22/2020 ∙ by Shir Gur, et al. ∙ 12 ∙ share

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Wish You Were Here: Context-Aware Human Generation

We present a novel method for inserting objects, specifically humans, in...
05/21/2020 ∙ by Oran Gafni, et al. ∙ 0 ∙ share

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Evaluation Metrics for Conditional Image Generation

We present two new metrics for evaluating generative models in the class...
04/26/2020 ∙ by Yaniv Benny, et al. ∙ 6 ∙ share

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Structural-analogy from a Single Image Pair

The task of unsupervised image-to-image translation has seen substantial...
04/05/2020 ∙ by Sagie Benaim, et al. ∙ 4 ∙ share

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On the Optimization Dynamics of Wide Hypernetworks

Recent results in the theoretical study of deep learning have shown that...
03/27/2020 ∙ by Etai Littwin, et al. ∙ 2 ∙ share

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Voice Separation with an Unknown Number of Multiple Speakers

We present a new method for separating a mixed audio sequence, in which ...
02/29/2020 ∙ by Eliya Nachmani, et al. ∙ 0 ∙ share

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ScopeFlow: Dynamic Scene Scoping for Optical Flow

We propose to modify the common training protocols of optical flow, lead...
02/25/2020 ∙ by Aviram Bar-Haim, et al. ∙ 0 ∙ share

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A Critical View of the Structural Causal Model

In the univariate case, we show that by comparing the individual complex...
02/23/2020 ∙ by Tomer Galanti, et al. ∙ 16 ∙ share

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Comparing the Parameter Complexity of Hypernetworks and the Embedding-Based Alternative

In the context of learning to map an input I to a function h_I:X→R, we c...
02/23/2020 ∙ by Tomer Galanti, et al. ∙ 16 ∙ share

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Molecule Property Prediction and Classification with Graph Hypernetworks

Graph neural networks are currently leading the performance charts in le...
02/01/2020 ∙ by Eliya Nachmani, et al. ∙ 0 ∙ share

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Residual Tangent Kernels

A recent body of work has focused on the theoretical study of neural net...
01/28/2020 ∙ by Etai Littwin, et al. ∙ 0 ∙ share

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Structured GANs

We present Generative Adversarial Networks (GANs), in which the symmetri...
01/15/2020 ∙ by Irad Peleg, et al. ∙ 92 ∙ share

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A Formal Approach to Explainability

We regard explanations as a blending of the input sample and the model's...
01/15/2020 ∙ by Lior Wolf, et al. ∙ 0 ∙ share

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Microvascular Dynamics from 4D Microscopy Using Temporal Segmentation

Recently developed methods for rapid continuous volumetric two-photon mi...
01/14/2020 ∙ by Shir Gur, et al. ∙ 12 ∙ share

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A Sample Selection Approach for Universal Domain Adaptation

We study the problem of unsupervised domain adaption in the universal sc...
01/14/2020 ∙ by Omri Lifshitz, et al. ∙ 0 ∙ share

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Single Image Depth Estimation Trained via Depth from Defocus Cues

Estimating depth from a single RGB images is a fundamental task in compu...
01/14/2020 ∙ by Shir Gur, et al. ∙ 16 ∙ share

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Unsupervised Learning of the Set of Local Maxima

This paper describes a new form of unsupervised learning, whose input is...
01/14/2020 ∙ by Lior Wolf, et al. ∙ 7 ∙ share

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Emerging Disentanglement in Auto-Encoder Based Unsupervised Image Content Transfer

We study the problem of learning to map, in an unsupervised way, between...
01/14/2020 ∙ by Ori Press, et al. ∙ 21 ∙ share

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

The Hessian of neural networks can be decomposed into a sum of two matri...
01/14/2020 ∙ by Etai Littwin, et al. ∙ 0 ∙ share

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Lior Wolf

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