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Noise Estimation for Generative Diffusion Models
Generative diffusion models have emerged as leading models in speech and...
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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...
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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...
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Explainability Guided Multi-Site COVID-19 CT Classification
Radiologist examination of chest CT is an effective way for screening CO...
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Intersection Regularization for Extracting Semantic Attributes
We consider the problem of supervised classification, such that the feat...
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High Fidelity Speech Regeneration with Application to Speech Enhancement
Speech enhancement has seen great improvement in recent years mainly thr...
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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...
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Transformer Interpretability Beyond Attention Visualization
Self-attention techniques, and specifically Transformers, are dominating...
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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...
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Single-Shot Freestyle Dance Reenactment
The task of motion transfer between a source dancer and a target person ...
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Image Animation with Perturbed Masks
We present a novel approach for image-animation of a source image by a d...
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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...
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Generating Correct Answers for Progressive Matrices Intelligence Tests
Raven's Progressive Matrices are multiple-choice intelligence tests, whe...
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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...
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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...
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Scale-Localized Abstract Reasoning
We consider the abstract relational reasoning task, which is commonly us...
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Hierarchical Timbre-Painting and Articulation Generation
We present a fast and high-fidelity method for music generation, based o...
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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...
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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...
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Shuffling Recurrent Neural Networks
We propose a novel recurrent neural network model, where the hidden stat...
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Data Augmenting Contrastive Learning of Speech Representations in the Time Domain
Contrastive Predictive Coding (CPC), based on predicting future segments...
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MTAdam: Automatic Balancing of Multiple Training Loss Terms
When training neural models, it is common to combine multiple loss terms...
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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...
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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...
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Wish You Were Here: Context-Aware Human Generation
We present a novel method for inserting objects, specifically humans, in...
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Evaluation Metrics for Conditional Image Generation
We present two new metrics for evaluating generative models in the class...
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Structural-analogy from a Single Image Pair
The task of unsupervised image-to-image translation has seen substantial...
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On the Optimization Dynamics of Wide Hypernetworks
Recent results in the theoretical study of deep learning have shown that...
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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 ...
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ScopeFlow: Dynamic Scene Scoping for Optical Flow
We propose to modify the common training protocols of optical flow, lead...
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A Critical View of the Structural Causal Model
In the univariate case, we show that by comparing the individual complex...
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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...
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Molecule Property Prediction and Classification with Graph Hypernetworks
Graph neural networks are currently leading the performance charts in le...
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Residual Tangent Kernels
A recent body of work has focused on the theoretical study of neural net...
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Structured GANs
We present Generative Adversarial Networks (GANs), in which the symmetri...
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A Formal Approach to Explainability
We regard explanations as a blending of the input sample and the model's...
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Microvascular Dynamics from 4D Microscopy Using Temporal Segmentation
Recently developed methods for rapid continuous volumetric two-photon mi...
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A Sample Selection Approach for Universal Domain Adaptation
We study the problem of unsupervised domain adaption in the universal sc...
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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...
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Unsupervised Learning of the Set of Local Maxima
This paper describes a new form of unsupervised learning, whose input is...
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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...
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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...
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OneGAN: Simultaneous Unsupervised Learning of Conditional Image Generation, Foreground Segmentation, and Fine-Grained Clustering
We present a method for simultaneously learning, in an unsupervised mann...
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Meta Decision Trees for Explainable Recommendation Systems
We tackle the problem of building explainable recommendation systems tha...
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End to End Trainable Active Contours via Differentiable Rendering
We present an image segmentation method that iteratively evolves a polyg...
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Spectra2pix: Generating Nanostructure Images from Spectra
The design of the nanostructures that are used in the field of nano-phot...
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Computational Ceramicology
Field archeologists are called upon to identify potsherds, for which pur...
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Live Face De-Identification in Video
We propose a method for face de-identification that enables fully automa...
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A Gated Hypernet Decoder for Polar Codes
Hypernetworks were recently shown to improve the performance of message ...
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Electric Analog Circuit Design with Hypernetworks and a Differential Simulator
The manual design of analog circuits is a tedious task of parameter tuni...
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