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04/06/2023
Source-free Domain Adaptation Requires Penalized Diversity
While neural networks are capable of achieving human-like performance in...
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11/28/2022
Pitfalls of Conditional Batch Normalization for Contextual Multi-Modal Learning
Humans have perfected the art of learning from multiple modalities throu...
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05/31/2022
FHIST: A Benchmark for Few-shot Classification of Histological Images
Few-shot learning has recently attracted wide interest in image classifi...
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05/23/2022
FL Games: A federated learning framework for distribution shifts
Federated learning aims to train predictive models for data that is dist...
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04/27/2022
AdaBest: Minimizing Client Drift in Federated Learning via Adaptive Bias Estimation
In Federated Learning (FL), a number of clients or devices collaborate t...
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10/14/2021
CT-SGAN: Computed Tomography Synthesis GAN
Diversity in data is critical for the successful training of deep learni...
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12/15/2020
Hypothesis Disparity Regularized Mutual Information Maximization
We propose a hypothesis disparity regularized mutual information maximiz...
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12/08/2020
Conditional Generation of Medical Images via Disentangled Adversarial Inference
Synthetic medical image generation has a huge potential for improving he...
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06/09/2020
Implicit Class-Conditioned Domain Alignment for Unsupervised Domain Adaptation
We present an approach for unsupervised domain adaptation—with a strong ...
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05/12/2020
Jigsaw-VAE: Towards Balancing Features in Variational Autoencoders
The latent variables learned by VAEs have seen considerable interest as ...
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04/03/2020
DFNet: Discriminative feature extraction and integration network for salient object detection
Despite the powerful feature extraction capability of Convolutional Neur...
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03/09/2020
Continuous Domain Adaptation with Variational Domain-Agnostic Feature Replay
Learning in non-stationary environments is one of the biggest challenges...
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03/09/2020
FoCL: Feature-Oriented Continual Learning for Generative Models
In this paper, we propose a general framework in continual learning for ...
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11/29/2019
CAGNet: Content-Aware Guidance for Salient Object Detection
Beneficial from Fully Convolutional Neural Networks (FCNs), saliency det...
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08/14/2019
Dual Adversarial Inference for Text-to-Image Synthesis
Synthesizing images from a given text description involves engaging two ...
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03/28/2019
InfoMask: Masked Variational Latent Representation to Localize Chest Disease
The scarcity of richly annotated medical images is limiting supervised d...
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06/03/2018
On the Importance of Attention in Meta-Learning for Few-Shot Text Classification
Current deep learning based text classification methods are limited by t...
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10/06/2017
Learnable Explicit Density for Continuous Latent Space and Variational Inference
In this paper, we study two aspects of the variational autoencoder (VAE)...
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07/18/2016
Deep learning trends for focal brain pathology segmentation in MRI
Segmentation of focal (localized) brain pathologies such as brain tumors...
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10/05/2015
Within-Brain Classification for Brain Tumor Segmentation
Purpose: In this paper, we investigate a framework for interactive brain...
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05/13/2015
Brain Tumor Segmentation with Deep Neural Networks
In this paper, we present a fully automatic brain tumor segmentation met...
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08/10/2012