Playing with AI - Papers

Starting from the time I interned in AI at BAP

• 2012 Alex Net - ImageNet Classification with Deep Convolutional Neural Networks

• 2013, 2017 VAE - Auto-Encoding Variational Bayes, VQ-VAE - Neural Discrete Representation Learning

• 2014 GAN - Generative Adversarial Networks

• 2015 U-Net - Convolutional Networks for Biomedical Image Segmentation

• 2016 ResNet - Deep Residual Learning for Image Recognition

• 2017 Enriching Word Vectors with Subword Information

• 2017 Attention is All You Need

• 2017 CycleGAN - Unpaired Image-to-Image Translation using Cycle-Consistent Adversarial Networks

• 2018 StarGAN: Unified Generative Adversarial Networks for Multi-Domain Image-to-Image Translation

• 2019 EfficientNet - Rethinking Model Scaling for Convolutional Neural Networks

• 2019 BERT - Pre-training of Deep Bidirectional Transformers for Language Understanding

• 2020 Denoising Diffusion Probabilistic Models

• 2021 Vision Transformer

• 2021 A Simple Single-Scale Vision Transformer for Object Detection and Instance Segmentation

• 2022 VQ-GAN, VECTOR-QUANTIZED IMAGE MODELING WITH IMAGE - PROVED VQGAN

• 2023 Mamba: Linear-Time Sequence Modeling with Selective State Spaces

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