AI Origins & Evolution

Meta’s Answer to the Missing Link of Self-Supervised Learning

data2vec 2.0 is a self-supervised algorithm that works across three different modalities—speech, vision, and text.

14/12/2022

AI Origins & Evolution

The Missing Link of Self-Supervised Learning

Data scarcity is seen as a major bottleneck to AI progress, but MetaAI’s Yann LeCun thinks otherwise.

13/12/2022

AI Origins & Evolution

Top 10 Self-supervised Learning Models in 2022

Just like reinforcement learning, self-supervised or unsupervised learning also witnessed various new models in 2022. Here are a few of them

02/11/2022

AI Origins & Evolution

Contrastive vs non-contrastive self-supervised learning techniques

On the contrary, to collapse in contrastive methods, FAIR identified non-contrastive methods to suffer from a lesser collapse problem of a different nature.

30/03/2022

AI Mysteries

A guide to self-supervised learning with graph data

graph structure has much additional information with them like node attributes, and label information of nodes. Using this source of information, we can have unprecedented opportunities to design advanced level self-supervised pretext tasks

09/01/2022

AI Mysteries

What is Contrastive Self-Supervised Learning?

By merging self-supervised learning and contrastive learning we can make it contrastive self-supervised learning, which is also a part of self-supervised learning.

12/12/2021

AI Mysteries

A Guide to Self-Supervised Learning in Computer Vision

In the last few years, we have seen that self-supervised learning methods are emerging rapidly. It can also be noticed that models using self-supervised learning

31/10/2021

Facebook Loves Self-Supervised Learning. Period.

AI Origins & Evolution

Facebook Loves Self-Supervised Learning. Period.

Facebook believes that self-supervision is one step on the path to human-level intelligence.

11/10/2021

AI Origins & Evolution

How Good Is Self-Supervised Learning For Anomaly Detection

Anomaly detection is used to detect fraud and identify intrusions, and figure ecosystem disturbances.

11/09/2021

self supervised learning semi supervised learning

AI Mysteries

Self-Supervised Learning Vs Semi-Supervised Learning: How They Differ

Over time, scientists have introduced several techniques that offer the best of both.

07/05/2021

AI Mysteries

Top 8 Resources To Learn Self-Supervised Learning In 2021

Did you know that almost 90% of the world’s data has been created in the last two years alone, and nearly 2.5 quintillion bytes of

06/05/2021

AI Mysteries

10 Self-Supervised Learning Frameworks & Libraries To Use In 2021

Self-supervised learning is gathering steam, slowly but surely. A relatively new technique, self-supervised learning is nothing but training unlabeled data without human supervision. Yann LeCun

06/05/2021

AI Mysteries

A Guide to Barlow Twins: Self-Supervised Learning via Redundancy Reduction

Barlow twins is a novel architecture inspired by the redundancy reduction principle in the work of neuroscientist H. Barlow.

07/04/2021

AI Mysteries

Guide to VISSL: Vision Library for Self-Supervised Learning

VISSL is a computer VIsion library for state-of-the-art Self-Supervised Learning research. This framework is based on PyTorch. The key idea of this library is to

16/02/2021

AI Origins & Evolution

HuBERT: Facebook’s Latest Approach To Self-Supervised Speech Representation Learning

Facebook AI Research (FAIR) has published a research paper introducing Hidden Unit BERT (HuBERT), their latest approach for learning self-supervised speech representations. According to FAIR,

20/06/2021

AI Mysteries

Guide to SelfTime: Self-supervised Time Series Representation Learning Framework with Python code

SelfTime is the state-of-the-art time series framework by finding inter-sample and intra-temporal relations

24/03/2021

Meta AI Chief Yann LeCun’s Self-Supervised Idea Finally Sees Open Source Light

AI News & Update

Meta AI Chief Yann LeCun’s Self-Supervised Idea Finally Sees Open Source Light

Meta AI successfully trained a visual transformer model with 632M parameters utilising 16 A100 GPUs within a span of 72 hours

13/06/2023

AI News & Update

Meta Unveils DinoV2, A Self-Supervised Vision Transformer Model

The model is open source and is pre-trained on 142 million images in self-supervised fashion without any labels

18/04/2023

AI Origins & Evolution

Imagine a World Without Reinforcement Learning

It is important but not the only technique we need to create intelligent systems, said Kohli DeepMind’s Head of Research (AI for science).

20/12/2022

AI News & Update

Reinforcement Learning Rant Continues

Yann LeCun said that though RL is inevitable in machine learning, the purpose behind incorporating it in algorithms should be to eventually minimise its use.

13/12/2022

AI Origins & Evolution

Yann LeCun Cherry-picks Reinforcement Learning

LeCun clearly is at odds with reinforcement learning and believes that for AI with common sense, it is not the way forward

06/12/2022

AI Origins & Evolution

Top 10 Machine Learning Papers of 2022

The best of everything and anything released in ML!

25/10/2022

AI Origins & Evolution

Top 10 Machine Learning Algorithms for Beginners to Dive Into

Hey ML enthusiasts, check out this list of algorithms that you can explore.

22/10/2022

AI Mysteries

Is Reinforcement Learning Still Relevant?

While there are various practical applications of reinforcement learning, the concept as a whole poses some limitations when used in developing autonomous machine intelligence

12/10/2022

AI Mysteries

All you need to know about Graph Contrastive Learning

The Graph Contrastive Learning aims to learn the graph representation with the help of contrastive learning.

04/05/2022

AI Origins & Evolution

Transfer learning vs federated learning: A comparative analysis

Federated learning enables smarter models, lower latency, and less power consumption, all while ensuring privacy.

28/03/2022

AI Origins & Evolution

What are the main challenges of reinforcement learning, and how to overcome them?

As popular as it may be, RL does not come without its challenges. Analytics India Magazine has noted some common RL challenges and ways to overcome them.

24/03/2022

AI Origins & Evolution

Meta AI releases “data2vec”, a self-supervised algorithm that works for speech, vision, and text

They have applied it separately to speech, text and images where it outperformed the previous best single-purpose algorithms for computer vision and speech.

25/01/2022

AI Mysteries

A Beginner’s Guide to Self-Supervised Classification

in the self supervised learning process we are mainly focused about making the data workable to the downstream algorithms. but when using the self-supervised learning we make the data specifically for classification we can say the process is self-supervised classification.

07/12/2021

AI Origins & Evolution

How Deep Learning Can Decode Faces Into Important Characteristics Like Age

Unsupervised deep learning research indicates that the brain divides faces into semantically relevant characteristics like age.

25/11/2021

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