Paper Reading - [CVPR 2021] Taming Transformers for High-Resolution Image Synthesis
Paper reading for [CVPR 2021] Taming Transformers for High-Resolution Image Synthesis Aka. #VQGAN at CVPR 2021 (ORAL) by Patrick Esser et al. Arxiv Link is h...
Paper Reading - [CVPR 2022] Learning to Answer Questions in Dynamic Audio-Visual Scenarios
Paper reading for [CVPR 2022] Learning to Answer Questions in Dynamic Audio-Visual Scenarios. Arxiv Link is here: https://arxiv.org/pdf/2203.14072.pdf
Paper Reading - [NeurIPS 2021] Multimodal Few-Shot Learning with Frozen Language Models
This is my reading note for Multimodal Few-Shot Learning with Frozen Language Models 🌐 NeurIPS 2021.
Paper Reading - MobileNets series - V1 to V3
This is my reading note for MobileNets series.
Paper Reading SP - Classic CNN Structures
In this blog post, we will go through several classic CNN structures that builds the backbones of Computer Vision.
Paper Reading - [NeurIPS 2019] Levenshtein Transformer
This is my reading note for [NeurIPS 2019] Levenshtein Transformer.
Paper Reading - [ICLR 2018] Unsupervised Neural Machine Translation
This is my reading note for [ICLR 2018] Unsupervised Neural Machine Translation.
Paper Reading - [ICLR 2019] Parameter-Efficient Transfer Learning for NLP
This is my reading note for [ICLR 2019] Parameter-Efficient Transfer Learning for NLP.
Paper Reading - [ICLR 2018] Non-Autoregressive Neural Machine Translation
This is my reading note for [ICLR 2018] Non-Autoregressive Neural Machine Translation.
Paper Reading - [NeurIPS 2014] Sequence to Sequence Learning with Neural Networks
This is my reading note for [NeurIPS 2014] Sequence to Sequence Learning with Neural Networks.
Paper Reading - [NAACL 2019] BERT Pre-training of Deep Bidirectional Transformers for Language Understanding
This is my reading note for [NAACL 2019] BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding.
Paper Reading - [NeurIPS 2017] Attention is All You Need
This is my reading note for [NeurIPS 2017] Attention is All You Need.
Paper Reading - [ICCV 2015] Learning Deconvolution Network for Semantic Segmentation
This is my reading report for Multimedia Analysis 2021 Spring in USTC.