Machine Learning (Theory)

APRIL 23, 2021

Welcome to ALT Highlights, a series of blog posts spotlighting various happenings at the recent conference ALT 2021 , including plenary talks, tutorials, trends in learning theory, and more! To reach a broad audience, the series will be disseminated as guest posts on different blogs in machine learning and theoretical computer science.

Computer Science 130

Computer Science Computer Science Machine Learning Machine Learning 130

Towards AI

OCTOBER 5, 2023

“Learning transferable visual models from natural language supervision.” International conference on machine learning. PMLR, 2021. The authors of the above paper aim to produce good representations (features) for images that can be used for various tasks with minimal or no supervision.

Supervised Learning 65

Supervised Learning Machine Learning Machine Learning AI 65

Becoming Human

MARCH 16, 2023

Overhyped or not, investments in AI drug discovery jumped from $450 million in 2014 to a whopping $58 billion in 2021. In 2021, 13 AI-derived biologics reached the clinical stage, with their therapy areas including COVID-19, oncology, and neurology. AI drug discovery is exploding.

AI 139

AI AI Deep Learning Deep Learning 139

Snorkel AI

MARCH 1, 2023

Foundation models are large AI models trained on enormous quantities of unlabeled data—usually through self-supervised learning. What is self-supervised learning? Self-supervised learning is a kind of machine learning that creates labels directly from the input data. Find out in the guide below.

Natural Language Processing 83

Natural Language Processing Supervised Learning Machine Learning Machine Learning 83

AWS Machine Learning Blog

DECEMBER 7, 2023

Given the availability of diverse data sources at this juncture, employing the CNN-QR algorithm facilitated the integration of various features, operating within a supervised learning framework. This distinction separated it from univariate time-series forecasting models and markedly enhanced performance.

AWS 134

AWS Algorithm Data Science Machine Learning 134

Snorkel AI

APRIL 18, 2023

For that, the teams actually looked into the 2021 IPCC, NASEM, and USGCRP reports. So for each of these high-level climate change hazards, some of these hazards are already reported in the 2021 IPCC report. To address all these problems, we looked into weak supervised learning. But this is not a scalable approach.

Supervised Learning 52

Supervised Learning Clustering AI AI 52

Snorkel AI

APRIL 18, 2023

For that, the teams actually looked into the 2021 IPCC, NASEM, and USGCRP reports. So for each of these high-level climate change hazards, some of these hazards are already reported in the 2021 IPCC report. To address all these problems, we looked into weak supervised learning. But this is not a scalable approach.

Supervised Learning 52

Supervised Learning Clustering AI AI 52

Snorkel AI

AUGUST 31, 2023

The learning stage uses techniques like semi-supervised learning that use few or no labels. Koh et al, “WILDS: A Benchmark of in-the-Wild Distribution Shifts”, ICML 2021. This involves a pipeline broken down into three stages with multiple component choices at each. The prompting stage asks the model for output.

Data Scientist 59

Data Scientist Artificial Intelligence Artificial Intelligence Supervised Learning 59

IBM Journey to AI blog

AUGUST 1, 2023

The term “foundation model” was coined by the Stanford Institute for Human-Centered Artificial Intelligence in 2021. They can also perform self-supervised learning to generalize and apply their knowledge to new tasks.

AI 70

AI AI Machine Learning Machine Learning 70

Snorkel AI

AUGUST 31, 2023

The learning stage uses techniques like semi-supervised learning that use few or no labels. Koh et al, “WILDS: A Benchmark of in-the-Wild Distribution Shifts”, ICML 2021. This involves a pipeline broken down into three stages with multiple component choices at each. The prompting stage asks the model for output.

Data Scientist 52

Data Scientist Supervised Learning Machine Learning Machine Learning 52

BAIR

APRIL 6, 2023

We extend NVIDIA Isaac Gym , a highly optimized software library for end-to-end GPU-accelerated robot learning released in 2021, without which the simulation of hundreds or thousands of learning robots would be computationally intractable.

Algorithm 98

Algorithm Artificial Intelligence Artificial Intelligence Supervised Learning 98

Mlearning.ai

AUGUST 8, 2023

Background Many of the new exciting AI breakthroughs have come from two recent innovations: self-supervised learning and Transformers. Grounding DINO is a self-supervised learning algorithm that combines DINO with grounded pre-training. The model can identify and detect any object simply by providing a text prompt.

Supervised Learning 52

Supervised Learning Algorithm AI AI 52

Snorkel AI

AUGUST 31, 2023

The learning stage uses techniques like semi-supervised learning that use few or no labels. Koh et al, “WILDS: A Benchmark of in-the-Wild Distribution Shifts”, ICML 2021. This involves a pipeline broken down into three stages with multiple component choices at each. The prompting stage asks the model for output.

Data Scientist 52

Data Scientist Artificial Intelligence Artificial Intelligence Supervised Learning 52

Mlearning.ai

JULY 31, 2023

In this case, models such as Word2Vec, GLoVE and FastText are effective options (Ganegedara, 2021; Pennington et al., 2021), the founders of Vision Transformers (ViTs), created a solution using this exact process. Data2Vec: A General Framework For Self-Supervised Learning in Speech, Vision and Language. Well, guess what?

Deep Learning 52

Deep Learning Deep Learning Supervised Learning Algorithm 52

How to Learn Machine Learning

SEPTEMBER 6, 2024

A recent study estimates that the global market for AI-based cybersecurity products was $15 billion in 2021, which is about to set a new milestone by 2030, as it is expected to reach around $135 billion. Globally, enterprises are learning more about investing in AI-based products for cyber threat detection and prevention.

ML 52

ML ML AI AI 52

Heartbeat

JULY 6, 2023

The Swin Transformer is a deep learning model architecture that uses a hierarchical approach to perform object recognition in computer vision. The Swin Transformer is part of a larger trend in deep learning towards attention-based models and self-supervised learning.

Deep Learning 59

Deep Learning Deep Learning Natural Language Processing Supervised Learning 59

Chatbots Life

MAY 12, 2023

Such models can also learn from a set of few examples The process of presenting a few examples is also called In-Context Learning , and it has been demonstrated that the process behaves similarly to supervised learning. The most recent training data is of ChatGPT from 2021 September.

AI 90

AI AI ML ML 90

BAIR

MAY 3, 2022

For demonstration, we designed a recognition framework that was a combination of active learning, semi-supervised learning, and human-in-the-loop (Figure 3). 10 (2021): 885-895.(Link We also incorporated a time component into this framework to indicate that the recognition models did not stop at any single time step.

Supervised Learning 54

Supervised Learning AI AI Artificial Intelligence 54

Mlearning.ai

APRIL 16, 2023

Conclusion This article described regression which is a supervising learning approach. We discussed the statistical method of fitting a line in Skicit Learn. 2021) Machine Learning for Beginners. In social science, we can predict the ideology of individuals based on their age. References: Bhasin, H. England, A.

Machine Learning 52

Machine Learning Machine Learning Python Data Science 52

Mlearning.ai

NOVEMBER 29, 2023

The downside of overly time-consuming supervised learning, however, remains. Classic Methods of Time Series Forecasting Multi-Layer Perceptron (MLP) Univariate models can be used to model univariate time series prediction machine learning problems. Originally published at [link] on October 27, 2021.

Machine Learning 52

Machine Learning Machine Learning ML ML 52

Google Research AI blog

JANUARY 18, 2023

In “ Vector-quantized Image Modeling with Improved VQGAN ”, released in 2021, an encoder based on Vision Transformer is shown to significantly improve the output of a vector-quantized GAN model, VQGAN. Similar updates were published in 2021 , 2020 , and 2019.

ML 132

ML ML AI AI 132

Mlearning.ai

SEPTEMBER 4, 2023

trillion parameters and has not been retrained since September 2021.[13] Turbo was initialized in 2021), a summary of copyrighted data used to train the model, disclosure of the model size, computing power, training time or energy consumption making compliance using this model difficult. [13] GPT-4 has an estimated 1.7 25] Edward J.

AI 52

AI AI Azure Machine Learning 52

The MLOps Blog

MARCH 21, 2023

Reasonable scale ML platform In 2021, Jacopo Tagliabue coined the term “reasonable scale,” which refers to companies that: Have ML models that generate hundreds of thousands to tens of millions of US dollars per year (rather than hundreds of millions or billions).

Machine Learning 69

Machine Learning Machine Learning Data Scientist ML 69

Data Science Blog

MARCH 14, 2023

Von Data Science spricht auf Konferenzen heute kaum noch jemand und wurde hype-technisch komplett durch Machine Learning bzw. GPT-3 wurde mit mehr als 100 Milliarden Wörter trainiert, das parametrisierte Machine Learning Modell selbst wiegt 800 GB (quasi nur die Neuronen!) Artificial Intelligence (AI) ersetzt.

Big Data 147

Big Data Big Data Apache Hadoop Data Science 147