Machine Learning Research
Fake Faces Are Good Training Data: Synthetic data improves face recognition performance.
Collecting and annotating a dataset of facial portraits is a big job. New research shows that synthetic data can work just as well.
Machine Learning Research
Machine Learning Research
Roadblocks to Regulation: Why laws to regulate AI usually fail.
Most U.S. state agencies use AI without limits or oversight. An investigative report probed reasons why efforts to rein them in have made little headway. Since 2018, nearly every proposed bill aimed at studying or controlling how state agencies use automated decision systems.
Machine Learning Research
Transformers See in 3D: Using transformers to visualize depth in 2D images.
Visual robots typically perceive the three-dimensional world through sequences of two-dimensional images, but they don’t always know what they’re looking at. For instance, Tesla’s self-driving system has been known to mistake a full moon for a traffic light.
Machine Learning Research
High Accuracy at Low Power: An energy efficient method for computer vision
Equipment that relies on computer vision while unplugged — mobile phones, drones, satellites, autonomous cars — need power-efficient models. A new architecture set a record for accuracy per computation.
Machine Learning Research
More Learning With Less Memory: Training large language models using less memory.
Researchers discovered a new way to reduce memory requirements when training large machine learning models. Tim Dettmers and colleagues at University of Washington released 8-bit optimizers that store gradient statistics as 8-bit values, while maintaining the same accuracy.
Machine Learning Research
Tax Relief the AI Way: AI Economist creates optimal tax rate.
Nothing is certain except death and taxes, the saying goes — but how to make taxes fair and beneficial remains an open question. New research aims to answer it.
Machine Learning Research
Why Active Learning Fails: Pairing active learning with visual question answering.
Where labeled training data is scarce, an algorithm can learn to request labels for key examples. While this practice, known as active learning, can supply labeled examples that improve performance in some tasks, it fails in others.
Machine Learning Research
Image Transformations Unmasked: CNNs for vision that aren't fooled by changing backgrounds.
If you change an image by moving its subject within the frame, a well trained convolutional neural network may not recognize the fundamental similarity between the two versions. New research aims to make CNN wise to such alterations.
Machine Learning Research
Large Language Models Shrink: Gopher and RETRO prove lean language models can push boundaries.
DeepMind released three papers that push the boundaries — and examine the issues — of large language models.
Machine Learning Research
Reinforcement Learning Transformed: Transformers succeed at reinforcemend learning tasks.
Transformers have matched or exceeded earlier architectures in language modeling and image classification. New work shows they can achieve state-of-the-art results in some reinforcement learning tasks as well.
Machine Learning Research
Recognizing Autism: AI research can help identify autism early in children.
Classical machine learning techniques could help children with autism receive treatment earlier in life. Researchers led by Ishanu Chattopadhyay at University of Chicago developed a system that classified autism in young children based on data collected during routine checkups.
Machine Learning Research
A Deeper Look at Graphs: Graph Neural Networks Work Better With More Layers
New research shows that drastically increasing the number of layers in a graph neural networks improves its performance on large datasets.