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09/08/2023
Generalized Cross-domain Multi-label Few-shot Learning for Chest X-rays
Real-world application of chest X-ray abnormality classification require...
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05/20/2022
Explainable Supervised Domain Adaptation
Domain adaptation techniques have contributed to the success of deep lea...
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10/21/2021
Towards Reducing Aleatoric Uncertainty for Medical Imaging Tasks
In safety-critical applications like medical diagnosis, certainty associ...
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09/02/2021
Efficient Algorithms For Fair Clustering with a New Fairness Notion
We revisit the problem of fair clustering, first introduced by Chieriche...
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08/31/2021
PACE: Posthoc Architecture-Agnostic Concept Extractor for Explaining CNNs
Deep CNNs, though have achieved the state of the art performance in imag...
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08/15/2021
Deep Geospatial Interpolation Networks
Interpolation in Spatio-temporal data has applications in various domain...
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06/24/2021
Evaluation of Saliency-based Explainability Method
A particular class of Explainable AI (XAI) methods provide saliency maps...
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06/20/2021
Task Attended Meta-Learning for Few-Shot Learning
Meta-learning (ML) has emerged as a promising direction in learning mode...
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05/31/2021
Pho(SC)Net: An Approach Towards Zero-shot Word Image Recognition in Historical Documents
Annotating words in a historical document image archive for word image r...
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05/11/2021
Characterizing GAN Convergence Through Proximal Duality Gap
Despite the accomplishments of Generative Adversarial Networks (GANs) in...
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01/21/2021
Stress Testing of Meta-learning Approaches for Few-shot Learning
Meta-learning (ML) has emerged as a promising learning method under reso...
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12/12/2020
On Duality Gap as a Measure for Monitoring GAN Training
Generative adversarial network (GAN) is among the most popular deep lear...
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11/03/2020
MAIRE – A Model-Agnostic Interpretable Rule Extraction Procedure for Explaining Classifiers
The paper introduces a novel framework for extracting model-agnostic hum...
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11/03/2020
Wheat Crop Yield Prediction Using Deep LSTM Model
An in-season early crop yield forecast before harvest can benefit the fa...
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11/03/2020
MACE: Model Agnostic Concept Extractor for Explaining Image Classification Networks
Deep convolutional networks have been quite successful at various image ...
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09/28/2019
Implicit Discriminator in Variational Autoencoder
Recently generative models have focused on combining the advantages of v...
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04/16/2019
Semantically Aligned Bias Reducing Zero Shot Learning
Zero shot learning (ZSL) aims to recognize unseen classes by exploiting ...
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07/31/2018