Visual Strategies for RL: Plan2Vec helps reinforcement learning with complex tasks.
Machine Learning Research

Visual Strategies for RL: Plan2Vec helps reinforcement learning with complex tasks.

Reinforcement learning can beat humans at video games, but humans are better at coming up with strategies to master more complex tasks. New work enables neural networks to connect the dots.

June 10, 20202 min read
Visual Strategies for RL: Plan2Vec helps reinforcement learning with complex tasks.
Machine Learning Research

Visual Strategies for RL: Plan2Vec helps reinforcement learning with complex tasks.

Reinforcement learning can beat humans at video games, but humans are better at coming up with strategies to master more complex tasks. New work enables neural networks to connect the dots.

June 10, 20202 min read
Augmentation for Features: A technique for boosting underrepresented data classes
Machine Learning Research

Augmentation for Features: A technique for boosting underrepresented data classes

In any training dataset, some classes may have relatively few examples. A new technique can improve a trained model’s performance on such underrepresented classes. Researchers introduced a method that synthesizes extracted features of underrepresented classes.

June 10, 20202 min read
Augmentation for Features: A technique for boosting underrepresented data classes
Machine Learning Research

Augmentation for Features: A technique for boosting underrepresented data classes

In any training dataset, some classes may have relatively few examples. A new technique can improve a trained model’s performance on such underrepresented classes. Researchers introduced a method that synthesizes extracted features of underrepresented classes.

June 10, 20202 min read
When Models Take Shortcuts: The causes of shortcut learning in neural networks
Machine Learning Research

When Models Take Shortcuts: The causes of shortcut learning in neural networks

Neuroscientists once thought they could train rats to navigate mazes by color. Rats don’t perceive colors at all. Instead, they rely on the distinct odors of different colors of paint. New work finds that neural networks are prone to this sort of misalignment between training goals and learning.

June 3, 20202 min read
When Models Take Shortcuts: The causes of shortcut learning in neural networks
Machine Learning Research

When Models Take Shortcuts: The causes of shortcut learning in neural networks

Neuroscientists once thought they could train rats to navigate mazes by color. Rats don’t perceive colors at all. Instead, they rely on the distinct odors of different colors of paint. New work finds that neural networks are prone to this sort of misalignment between training goals and learning.

June 3, 20202 min read
Another Look at YOLO: How YOLOv4 is different from earlier versions
Machine Learning Research

Another Look at YOLO: How YOLOv4 is different from earlier versions

The latest update of the acclaimed real-time object detector You Only Look Once is more accurate than ever. Researchers at Taiwan’s Institute of Information Science Academia Sinica offer YOLOv4 — the first version not to include the architecture’s original creators.

June 3, 20202 min read
Another Look at YOLO: How YOLOv4 is different from earlier versions
Machine Learning Research

Another Look at YOLO: How YOLOv4 is different from earlier versions

The latest update of the acclaimed real-time object detector You Only Look Once is more accurate than ever. Researchers at Taiwan’s Institute of Information Science Academia Sinica offer YOLOv4 — the first version not to include the architecture’s original creators.

June 3, 20202 min read
Big Bot Makes Small Talk: A research summary of Facebook's Generative BST chatbot
Machine Learning Research

Big Bot Makes Small Talk: A research summary of Facebook's Generative BST chatbot

Facebook recently rolled out its entry in the World’s Biggest Chatbot sweepstakes. In keeping with the company’s social-networking dominance, the bot is designed to excel at chitchat on any subject.

May 27, 20202 min read
Big Bot Makes Small Talk: A research summary of Facebook's Generative BST chatbot
Machine Learning Research

Big Bot Makes Small Talk: A research summary of Facebook's Generative BST chatbot

Facebook recently rolled out its entry in the World’s Biggest Chatbot sweepstakes. In keeping with the company’s social-networking dominance, the bot is designed to excel at chitchat on any subject.

May 27, 20202 min read
Toward Open-Domain Chatbots: Meena Scores High on System for Grading NLP Chatbots
Machine Learning Research

Toward Open-Domain Chatbots: Meena Scores High on System for Grading NLP Chatbots

Progress in language models is spawning a new breed of chatbots and, unlike their narrow-domain forebears, they have the gift of gab. Recent research tests the limits of conversational AI.

May 27, 20202 min read
Toward Open-Domain Chatbots: Meena Scores High on System for Grading NLP Chatbots
Machine Learning Research

Toward Open-Domain Chatbots: Meena Scores High on System for Grading NLP Chatbots

Progress in language models is spawning a new breed of chatbots and, unlike their narrow-domain forebears, they have the gift of gab. Recent research tests the limits of conversational AI.

May 27, 20202 min read
Small Data the Simple Way: A training technique that can outperform few-shot learning
Machine Learning Research

Small Data the Simple Way: A training technique that can outperform few-shot learning

Few-shot learning seeks to build models that adapt to novel tasks based on small numbers of training examples. This sort of learning typically involves complicated techniques, but researchers achieved state-of-the-art results using a simpler approach.

May 20, 20202 min read
Small Data the Simple Way: A training technique that can outperform few-shot learning
Machine Learning Research

Small Data the Simple Way: A training technique that can outperform few-shot learning

Few-shot learning seeks to build models that adapt to novel tasks based on small numbers of training examples. This sort of learning typically involves complicated techniques, but researchers achieved state-of-the-art results using a simpler approach.

May 20, 20202 min read
Human-Level X-Ray Diagnosis: A research summary of CheXbert for labeling chest x-rays
Machine Learning Research

Human-Level X-Ray Diagnosis: A research summary of CheXbert for labeling chest x-rays

Like nurses who can’t decipher a doctor’s handwriting, machine learning models can’t decipher medical scans — without labels. Conveniently, natural language models can read medical records to extract labels for X-ray images.

May 20, 20202 min read

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