TransferlearningTransfer learning / domain adaptation / domain generalization / multi-task learning etc. Papers, codes, datasets, applications, tutorials.-迁移学习
Stars: ✭ 8,481 (+27258.06%)
Mutual labels: paper, papers
Awesome Face😎 face releated algorithm, dataset and paper
Stars: ✭ 739 (+2283.87%)
Mutual labels: paper, papers
my-bookshelfCollection of books/papers that I've read/I'm going to read/I would remember that they exist/It is unlikely that I'll read/I'll never read.
Stars: ✭ 49 (+58.06%)
Mutual labels: paper, papers
paper-surveySummary of machine learning papers
Stars: ✭ 26 (-16.13%)
Mutual labels: paper, papers
awesome-secure-computationAwesome list for cryptographic secure computation paper. This repo includes *Lattice*, *DifferentialPrivacy*, *MPC* and also a comprehensive summary for top conferences.
Stars: ✭ 125 (+303.23%)
Mutual labels: paper, papers
Top 10 Computer Vision Papers 2020A list of the top 10 computer vision papers in 2020 with video demos, articles, code and paper reference.
Stars: ✭ 132 (+325.81%)
Mutual labels: paper, papers
BestofmlThe best resources around Machine Learning
Stars: ✭ 349 (+1025.81%)
Mutual labels: paper, papers
papersSummarizing the papers I have read (Japanese)
Stars: ✭ 38 (+22.58%)
Mutual labels: paper, papers
Awesome Groundingawesome grounding: A curated list of research papers in visual grounding
Stars: ✭ 247 (+696.77%)
Mutual labels: paper, papers
Best ai paper 2020A curated list of the latest breakthroughs in AI by release date with a clear video explanation, link to a more in-depth article, and code
Stars: ✭ 2,140 (+6803.23%)
Mutual labels: paper, papers
FSL-MateFSL-Mate: A collection of resources for few-shot learning (FSL).
Stars: ✭ 1,346 (+4241.94%)
Mutual labels: paper, papers
best AI papers 2021A curated list of the latest breakthroughs in AI (in 2021) by release date with a clear video explanation, link to a more in-depth article, and code.
Stars: ✭ 2,740 (+8738.71%)
Mutual labels: paper, papers
audioContextEncoderA context encoder for audio inpainting
Stars: ✭ 18 (-41.94%)
Mutual labels: paper
LMMSLanguage Modelling Makes Sense - WSD (and more) with Contextual Embeddings
Stars: ✭ 79 (+154.84%)
Mutual labels: paper