Training Results of some models against DROP dataset (AI2)
Training Results of the models on DROP dataset.
Posts by Category
blog
记一次失败的 reverse 经历
第一次做 CTF 逆向题，太难了！
Dynamic Programming- Why Knuth’s improvement to Optimal Binary Search Tree O(n^2)?
Source: https://stackoverflow.com/questions/16987670/dynamic-programming-why-knuths-improvement-to-optimal-binary-search-tree-on2
First time socket programming
Computer Network 2021FA coding assignment 1: DNS-Relay
Conversion from RGB to YUV colorspace
1 RGB and YUV Colorspace
Space Invaders on FPGA
填坑填坑！
Verilog 笔记
这学期开了模电，所以要用到 Veribug语言啦。
CMakeList Usage and some must-handle Syntax
One good tutorial about CMake is here. You can also take the official document as a reference.
Centre of trees
This is the proof by Namita Tiwari. Thanks!!!
Learn to use Docker
Use docker as your virtual environment for your project testing.
Record coding time with WakaTime and display with Wakabox & GitHub Gist
Wakatime is something you can use to record your coding (touching fish) time.
I start to use Codespaces. It’s fantastic~
Codespaces: An cloud IDE made by GitHub & Microsoft, previously named “Visual Studio Online”.
Customize your site built on jekyll theme “Minimal Mistakes”
Use your own CSS files to customize the site.
Build your repo with Tarvis CI.
Build your repo automatically with Tarvis CI.
Folklore review
This is the review of album “folklore” by Taylor Swift, released on 2020/7/24.
Matplotlib 3D Toolkit Note
Matplotlib 3D Toolkit Note
Meaning in life
From Prof. Xiang Luo
Citespace 使用教程
Citespace: 一款文献可视化分析软件
BFS used in problem 8 numbers
“8 numbers problem” in CPII 2020 Spring: solution and some related basic knowledge used in it.
喜欢的游戏要出新作了，好开心 ^_^
没想到刚玩过 NieR:Automata 不久，被游戏中治愈的剧情和吹爆的配乐还有…
Openpose 配置小记
记录了一点 Openpose 的配置过程及踩过的坑
Git Commands
常用的一点 Git 操作
paper
Paper Reading - [NeurIPS 2020] Denoising Diffusion Probabilistic Models
Paper reading for [NeurIPS 2020] Denoising Diffusion Probabilistic Models by Jonathan Ho, Ajay Jain and Pieter Abbeel. Paper Link is here at NeurIPS Proceedi...
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.