Methodology | Papers With Code

Bayesian Inference is a methodology that employs Bayes Rule to estimate parameters (and their full posterior).

Methodology | Papers With Code

**Transfer Learning** is a machine learning technique where a model trained on one task is re-purposed and fine-tuned for a related, but different task. The idea behind transfer learning is to leverage the knowledge learned from a pre-trained model to solve a new, but related…

Methodology | Papers With Code

**Representation Learning** is a process in machine learning where algorithms extract meaningful patterns from raw data to create representations that are easier to understand and process. These representations can be designed for interpretability, reveal hidden features, or be…

Browse the State-of-the-Art in Machine Learning | Papers With Code

**Sentiment Analysis** is the task of classifying the polarity of a given text. For instance, a text-based tweet can be categorized into either "positive", "negative", or "neutral". Given the text and accompanying labels, a model can be trained to predict the correct sentiment…

Object Tracking | Papers With Code

**Object tracking** is the task of taking an initial set of object detections, creating a unique ID for each of the initial detections, and then tracking each of the objects as they move around frames in a video, maintaining the ID assignment. State-of-the-art methods involve…

Computer Vision | Papers With Code

**Image Retrieval** is a fundamental and long-standing computer vision task that involves finding images similar to a provided query from a large database. It's often considered as a form of fine-grained, instance-level classification. Not just integral to image recognition…

Computer Vision | Papers With Code

**Zero-shot learning (ZSL)** is a model's ability to detect classes never seen during training. The condition is that the classes are not known during supervised learning. Earlier work in zero-shot learning use attributes in a two-step approach to infer unknown classes. In the…

Computer Vision | Papers With Code

**Anomaly Detection** is a binary classification identifying unusual or unexpected patterns in a dataset, which deviate significantly from the majority of the data. The goal of anomaly detection is to identify such anomalies, which could represent errors, fraud, or other types…

Computer Vision | Papers With Code

**Few-Shot Learning** is an example of meta-learning, where a learner is trained on several related tasks, during the meta-training phase, so that it can generalize well to unseen (but related) tasks with just few examples, during the meta-testing phase. An effective approach to…

Computer Vision | Papers With Code

**Depth Estimation** is the task of measuring the distance of each pixel relative to the camera. Depth is extracted from either monocular (single) or stereo (multiple views of a scene) images. Traditional methods use multi-view geometry to find the relationship between the…

Computer Vision | Papers With Code

**Facial Recognition** is the task of making a positive identification of a face in a photo or video image against a pre-existing database of faces. It begins with detection - distinguishing human faces from other objects in the image - and then works on identification of those…

Computer Vision | Papers With Code

**Action Recognition** is a computer vision task that involves recognizing human actions in videos or images. The goal is to classify and categorize the actions being performed in the video or image into a predefined set of action classes. In the video domain, it is an open…

Computer Vision | Papers With Code

**Denoising** is a task in image processing and computer vision that aims to remove or reduce noise from an image. Noise can be introduced into an image due to various reasons, such as camera sensor limitations, lighting conditions, and compression artifacts. The goal of…

Computer Vision | Papers With Code

**Super-Resolution** is a task in computer vision that involves increasing the resolution of an image or video by generating missing high-frequency details from low-resolution input. The goal is to produce an output image with a higher resolution than the input image, while…

Computer Vision | Papers With Code

Autonomous driving is the task of driving a vehicle without human conduction. Many of the state-of-the-art results can be found at more general task pages such as [3D Object Detection](https://paperswithcode.com/task/3d-object-detection) and [Semantic…

Computer Vision | Papers With Code

Data augmentation involves techniques used for increasing the amount of data, based on different modifications, to expand the amount of examples in the original dataset. Data augmentation not only helps to grow the dataset but it also increases the diversity of the dataset. When…

Computer Vision | Papers With Code

**Domain Adaptation** is the task of adapting models across domains. This is motivated by the challenge where the test and training datasets fall from different data distributions due to some factor. Domain adaptation aims to build machine learning models that can be generalized…

Browse the State-of-the-Art in Machine Learning | Papers With Code

**Image Generation** (synthesis) is the task of generating new images from an existing dataset. - **Unconditional generation** refers to generating samples unconditionally from the dataset, i.e. $p(y)$ - **[Conditional image generation](/task/conditional-image-generation)**…

Browse the State-of-the-Art in Machine Learning | Papers With Code

**Object Detection** is a computer vision task in which the goal is to detect and locate objects of interest in an image or video. The task involves identifying the position and boundaries of objects in an image, and classifying the objects into different categories. It forms a…

Browse the State-of-the-Art in Machine Learning | Papers With Code

**Image Classification** is a fundamental task in vision recognition that aims to understand and categorize an image as a whole under a specific label. Unlike [object detection](/task/object-detection), which involves classification and location of multiple objects within an…

Browse the State-of-the-Art in Machine Learning | Papers With Code

**Semantic Segmentation** is a computer vision task in which the goal is to categorize each pixel in an image into a class or object. The goal is to produce a dense pixel-wise segmentation map of an image, where each pixel is assigned to a specific class or object. Some example…

Mythic Case Study

How Mythic got its optimized domain-specific core without compromises or delays.

"If it Hadn't Been for the Prompt Work of the Medics": FSB Officer Inadvertently Confesses Murder Plot to Navalny - bellingcat

Bellingcat and its partners reported that Russia’s Federal Security Service (FSB) was implicated in the near-fatal nerve-agent poisoning of Alexey Navalny on 20 August 2020. The report identified eight clandestine operatives with medical and chemical/biological warfare expertise…

The Fall Of Mic Was A Warning | HuffPost

"I don’t need a pair of Nikes. I need a 401(k)" -- and other lessons from the death of a venture-backed, Facebook-dependent, millennial-focused news site.

Everything Product People Need to Know About Transformers, GPT-3, and Huggi

Or, How to Act Like You Know About the Biggest AI Development since CNNs

How to Overcome 5 Common B2B Sales Challenges

Generating and retaining business customers makes you deal with longer (and more complicated) sales cycles, more demanding customers, and huge amounts of data.

Enneagram of Personality

The Enneagram of Personality, or simply the Enneagram, is a pseudoscientific model of the human psyche which is principally understood and taught as a typology of nine interconnected personality types.

L-System

An L-system or Lindenmayer system is a parallel rewriting system and a type of formal grammar. An L-system consists of an alphabet of symbols that can be used to make strings, a collection of production rules that expand each symbol into some larger string of symbols, an initial…

Earth on Nautilus: The Strange Blissfulness of Storms

You Are Solving The Wrong Problem | UX Magazine

When solving a difficult problem, re-ask the problem so the solution helps you learn faster.

Paperspace | Gradient Projects

Build and scale ML applications with a cloud platform focused on speed and simplicity.

A Chicken Dish That Makes It Feel Like Christmas (Published 2020)

When Nik Sharma left Mumbai for Ohio years ago, he had to leave his family’s holiday celebration behind too. Now he recreates one of his favorite dishes, chicken cafreal, in his own kitchen.

Kurt Vonnegut on the 8 "shapes" of stories

Before fame, Kurt Vonnegut wrote a master's thesis on the shapes of stories for the anthropology department at the University of Chicago.

Networking at the Speed of Light: Understanding and Using Fiber Optics

Our current networking technology was unfathomable just ten years ago. Now thanks to using fiber optics, data transmits faster than before.

Why batteries are the new power plants

The advent of "big battery" technology addresses a key challenge for green energy – the intermittency of wind and solar.

Leaving the Grace of This World

More than 17 years ago, a successful Michigan attorney took his life on a cherished trout stream, devastating close friends and family. Haunted by what happened, his nephew investigated and discovered tragic truths that were in plain sight all along.

Sini Manti (Armenian Baked Lamb Manti)

Crunchy-crisp baked lamb dumplings in a rich, aromatic broth.

Five Lessons From Dave Chappelle – Stratechery by Ben Thompson

Dave Chappelle has a new special about his old show that includes fundamental lessons about how the Internet has changed the content business.

How this one font took over the world

It’s the font we deserve, but is it the one we need right now?

Recipe: Slow Cooker Golden Chickpea Soup

Equal parts hearty, bright, and completely nourishing.

https://www.edn.com/lost-in-the-advanced-ic-packaging-labyrinth-know-these-10-basic-terms/

Hacker News

rga is a line-oriented search tool that allows you to look for a regex in a multitude of file types. rga wraps the awesome ripgrep and enables it to search in pdf, docx, sqlite, jpg, zip, tar.*, movie subtitles (mkv, mp4), etc. ExamplesPDFs Say you have a large folder of papers…

Beyond Churn: An Introduction to Uplift Modeling

Knowing which customers might churn is helpful, but uplift modeling can give you a new window into the nuances of customers’ responses…

Essential Math for Data Science: Information Theory

Entropy, cross-entropy, log loss, and KL divergence

A Short Guide to Hard Problems

What’s easy for a computer to do, and what’s almost impossible? Those questions form the core of computational complexity. We present a map of the landscape.

What Makes 5G So Fast? mmWaves, MIMO, and Beamforming, and More

With 5G rolling out more quickly as we approach 2021, it may be helpful to touch on the key technologies that make 5G such a speedy success.

The 33 Most Valuable Open-Ended Sales Questions

The right questions ensure that reps are building rapport, uncovering pain points, establishing need, and clearly articulating value.

Transistor Sizing in VLSI Design Using the Linear Delay Model - Technical A

In this article, we will learn how to find the optimal size of a transistor/logic gate present in a larger circuit to provide the desired performance using the linear delay model.

List of semiconductor fabrication plants - Wikipedia

This is a list of semiconductor fabrication plants. A semiconductor fabrication plant is where integrated circuits (ICs), also known as microchips, are manufactured. They are either operated by Integrated Device Manufacturers (IDMs) that design and manufacture ICs in-house and…

Product First - Bottom Up by David Sacks

Market Discovery at Square and PayPal