Must-read AI Papers - Crossminds

Must-read AI Papers

Feb 22, 2021

18 videos

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Language Models are Few-Shot Learners - OpenAI GPT-3 Explained [NeurIPS 2020 Best Paper]

Two Minute Papers

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AlexNet: ImageNet Classification with Deep Convolutional Neural Networks (Paper Explained)

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BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding | Ming-Wei Chang @ ACL 2019

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Transformer: Attention Is All You Need (Paper Explained)

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Word2Vec: Distributed Representations of Words and Phrases and their Compositionality (Paper Explained)

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Reformer: The Efficient Transformer | Łukasz Kaiser (Google Brain)

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ResNet: Deep Residual Learning for Image Recognition | Kaiming He @ CVPR 2016

ComputerVisionFoundation Videos

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Playing Atari with Deep Reinforcement Learning (Paper Explained)

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BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (Paper Explained)

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Deep Residual Learning for Image Recognition (ResNet Paper Explained)

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Generative Adversarial Networks (Paper Explained)

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Dynamic Routing Between Capsules (CapsNet) | Sara Sabour @ NIPS 2017

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Generative Adversarial Networks | Ian Goodfellow @ NIPS 2016 Tutorial

Preserve Knowledge

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Playing Atari with Deep Reinforcement Learning | Two Minute Paper

Two Minute Papers

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GPT-3: Language Models are Few-Shot Learners (Paper Explained)

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CapsNets: Dynamic Routing Between Capsules | Geoffrey Hinton

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Word2Vec: Distributed Representations of Words and Phrases and their Compositionality (5-min Walkthrough)

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Transformer: Attention is all you need; Attentional Neural Network Models | Łukasz Kaiser @ Google Brain