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05/29/2023
Reconstructing the Mind's Eye: fMRI-to-Image with Contrastive Learning and Diffusion Priors
We present MindEye, a novel fMRI-to-image approach to retrieve and recon...
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10/29/2022
CascadeXML: Rethinking Transformers for End-to-end Multi-resolution Training in Extreme Multi-label Classification
Extreme Multi-label Text Classification (XMC) involves learning a classi...
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01/27/2022
Revisiting RCAN: Improved Training for Image Super-Resolution
Image super-resolution (SR) is a fast-moving field with novel architectu...
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09/13/2021
Embedding Convolutions for Short Text Extreme Classification with Millions of Labels
Automatic annotation of short-text data to a large number of target labe...
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08/01/2020
Meta-DRN: Meta-Learning for 1-Shot Image Segmentation
Modern deep learning models have revolutionized the field of computer vi...
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04/15/2020