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Curriculum for Reinforcement Learning LilLog

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Author: openj-gate.com ~ Tags: lilianweng.github.io ~ Date: 2022/09/20

A curriculum is an efficient tool for humans to progressively learn from simple concepts to hard problems It breaks down complex knowledge  - Information from lilianweng.github.io

Information accuracy 100%
Read more from lilianweng.github.io information was found here: https://lilianweng.github.io/lil-log/2020/01/29/curriculum-for-reinforcement-learning.html

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Contrastive Representation Learning LilLog

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Author: openj-gate.com ~ Tags: lilianweng.github.io ~ Date: 2022/09/20

The InfoNCE loss in CPC (Contrastive Predictive Coding van den Oord et al 2018) inspired by NCE uses categorical crossentropy loss to  - Information from lilianweng.github.io

Information accuracy 100%
Read more from lilianweng.github.io information was found here: https://lilianweng.github.io/lil-log/2021/05/31/contrastive-representation-learning.html

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Learning with not Enough Data Part 1: SemiSupervised

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Author: openj-gate.com ~ Tags: lilianweng.github.io ~ Date: 2022/09/20

Dec 5 2021 by Lilian Weng data unsupervisedlearning Like consistency regularization data augmentation and dropout are also important  - Information from lilianweng.github.io

Information accuracy 100%
Read more from lilianweng.github.io information was found here: https://lilianweng.github.io/lil-log/2021/12/05/semi-supervised-learning.html

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How to Build an OpenDomain Question Answering System?

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Author: openj-gate.com ~ Tags: lilianweng.github.io ~ Date: 2022/09/20

DrQA (Chen et al 2017) adopts an efficient nonlearningbased search engine based on the vector space model Every query and document is  - Information from lilianweng.github.io

Information accuracy 100%
Read more from lilianweng.github.io information was found here: https://lilianweng.github.io/lil-log/2020/10/29/open-domain-question-answering.html

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Contrastive Representation Learning LilLog

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Author: openj-gate.com ~ Tags: lilianweng.github.io ~ Date: 2022/09/20

Contrastive loss (Chopra et al 2005) is one of the earliest training objectives used for deep metric learning in a contrastive  - Information from lilianweng.github.io

Information accuracy 100%
Read more from lilianweng.github.io information was found here: https://lilianweng.github.io/lil-log/2021/05/31/contrastive-representation-learning.html

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How to Train Really Large Models on Many GPUs? LilLog

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Author: openj-gate.com ~ Tags: lilianweng.github.io ~ Date: 2022/09/20

“MegatronLM: Training MultiBillion Parameter Language Models Using Model Parallelism” arXiv preprint arXiv:190908053 (2019) [4] Narayanan  - Information from lilianweng.github.io

Information accuracy 100%
Read more from lilianweng.github.io information was found here: https://lilianweng.github.io/lil-log/2021/09/24/train-large-neural-networks.html

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What are Diffusion Models? LilLog

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Author: openj-gate.com ~ Tags: lilianweng.github.io ~ Date: 2022/09/20

It brings a negative effect on score estimation since the data points FID scores on CIFAR10 and CelebA datasets by diffusion models of  - Information from lilianweng.github.io

Information accuracy 100%
Read more from lilianweng.github.io information was found here: https://lilianweng.github.io/lil-log/2021/07/11/diffusion-models.html

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How to Train Really Large Models on Many GPUs? LilLog

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Author: openj-gate.com ~ Tags: lilianweng.github.io ~ Date: 2022/09/20

“Efficient LargeScale Language Model Training on GPU Clusters Using MegatronLM” arXiv preprint arXiv:210404473 (2021) [5] Huang et al “  - Information from lilianweng.github.io

Information accuracy 100%
Read more from lilianweng.github.io information was found here: https://lilianweng.github.io/lil-log/2021/09/24/train-large-neural-networks.html

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Curriculum for Reinforcement Learning LilLog

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Author: openj-gate.com ~ Tags: lilianweng.github.io ~ Date: 2022/09/20

Jan 29 2020 by Lilian Weng reinforcementlearning generativemodel metalearning Curriculum by transfer learning - Information from lilianweng.github.io

Information accuracy 100%
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How to Build an OpenDomain Question Answering System?

lilianweng.github.io

Author: openj-gate.com ~ Tags: lilianweng.github.io ~ Date: 2022/09/20

A model that is capable of answering any question with regard to factual knowledge can enable many useful applications - Information from lilianweng.github.io

Information accuracy 100%
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Flowbased Deep Generative Models LilLog

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Author: openj-gate.com ~ Tags: lilianweng.github.io ~ Date: 2022/09/20

Different from GAN and VAE they explicitly learn the probability density function of the input data So far Ive written about two  - Information from lilianweng.github.io

Information accuracy 100%
Read more from lilianweng.github.io information was found here: https://lilianweng.github.io/lil-log/2018/10/13/flow-based-deep-generative-models.html

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Evolution Strategies LilLog

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Author: openj-gate.com ~ Tags: lilianweng.github.io ~ Date: 2022/09/20

Evolution strategies (ES) belong to the big family of evolutionary algorithms The optimization targets of ES are vectors of real numbers x∈Rn  - Information from lilianweng.github.io

Information accuracy 100%
Read more from lilianweng.github.io information was found here: https://lilianweng.github.io/lil-log/2019/09/05/evolution-strategies.html

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How to Train Really Large Models on Many GPUs? LilLog

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Author: openj-gate.com ~ Tags: lilianweng.github.io ~ Date: 2022/09/20

Fullprecision master copy of weights Maintain a full precision (FP32) copy of model weights that accumulates gradients · Loss scaling Scale  - Information from lilianweng.github.io

Information accuracy 100%
Read more from lilianweng.github.io information was found here: https://lilianweng.github.io/lil-log/2021/09/24/train-large-neural-networks.html

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What are Diffusion Models? LilLog

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Author: openj-gate.com ~ Tags: lilianweng.github.io ~ Date: 2022/09/20

Diffusion models are a new type of generative models that are flexible enough to learn any arbitrarily complex data distribution while  - Information from lilianweng.github.io

Information accuracy 100%
Read more from lilianweng.github.io information was found here: https://lilianweng.github.io/lil-log/2021/07/11/diffusion-models.html

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