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DETR: End-to-End Object Detection with Transformers
A new method that views object detection as a direct set prediction problem.
object-detection image-segmentation panoptic-segmentation transformers
T5 fine-tuning
A colab notebook to showcase how to fine-tune T5 model on various NLP tasks (especially non text-2-text tasks with text-2-text approach)
natural-language-processing transformers text-2-text t5
Jukebox: A Generative Model for Music
We’re introducing Jukebox, a neural net that generates music, including rudimentary singing, as raw audio in a variety of genres and artist styles.
music-generation transformers convolutional-neural-networks jukebox
Discovering Symbolic Models from Deep Learning w/ Inductive Bias
A general approach to distill symbolic representations of a learned deep model by introducing strong inductive biases.
symbolic-models inductive-bias graph-neural-networks graphs
Stochastic Segmentation Networks
An efficient probabilistic method for modelling aleatoric uncertainty with any image segmentation network architecture.
image-segmentation health medical mri
Cycle GAN in TensorFlow 2.0 with Custom Loops
Implementation of "Unpaired Image-to-Image Translation using Cycle-Consistent Adversarial Networks" by Jun-Yan Zhu et al.
generative-adversarial-networks computer-vision image-to-image-translation unpaired-images
Weight Poisoning Attacks on Pre-trained Models
How Bert can be infused with nefarious behavior, even after fine-tuning.
bert adversarial-attacks adversarial-learning attention
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