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08/21/2023
Image-free Classifier Injection for Zero-Shot Classification
Zero-shot learning models achieve remarkable results on image classifica...
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06/12/2023
Waffling around for Performance: Visual Classification with Random Words and Broad Concepts
The visual classification performance of vision-language models such as ...
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05/24/2023
In-Context Impersonation Reveals Large Language Models' Strengths and Biases
In everyday conversations, humans can take on different roles and adapt ...
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06/15/2022
The Manifold Hypothesis for Gradient-Based Explanations
When do gradient-based explanation algorithms provide meaningful explana...
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06/29/2021
Uncertainty-Guided Progressive GANs for Medical Image Translation
Image-to-image translation plays a vital role in tackling various medica...
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08/19/2020
Attribute Prototype Network for Zero-Shot Learning
From the beginning of zero-shot learning research, visual attributes hav...
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04/07/2020
e-SNLI-VE-2.0: Corrected Visual-Textual Entailment with Natural Language Explanations
The recently proposed SNLI-VE corpus for recognising visual-textual enta...
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06/12/2017
Channel-Recurrent Variational Autoencoders
Variational Autoencoder (VAE) is an efficient framework in modeling natu...
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12/01/2016
Learning to Generate Images of Outdoor Scenes from Attributes and Semantic Layouts
Automatic image synthesis research has been rapidly growing with deep ne...
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05/17/2016
