Unite.AI

The Reinforcement Gap: Why AI Excels at Some Tasks but Stalls at Others

Artificial Intelligence (AI) has achieved remarkable successes in recent years. It can defeat human champions in games like Go, predict protein structures with high accuracy, and perform complex tasks ...
IEEE

Unsupervised Continual Learning Using Cross-Level Discrimination and Evidential Pseudo Out-of-Distribution Detection Along With Gradient Projected Hard Attention

Abstract: Catastrophic forgetting is a prominent challenge in machine learning, where models forget previously learned knowledge when exposed to new information. Supervised Continual Learning (SCL) ...
GitHub

Cut and Learn for Unsupervised Object Detection and Instance Segmentation

We propose MaskCut approach to generate pseudo-masks for multiple objects in an image. CutLER can learn unsupervised object detectors and instance segmentors solely on ImageNet-1K. CutLER exhibits ...
GitHub

Cut and Learn for Unsupervised Image & Video Object Detection and Instance Segmentation

Cut and Learn for Unsupervised Image & Video Object Detection and Instance Segmentation Cut -and- LE a R n (CutLER) is a simple approach for training object detection and instance segmentation models ...
IEEE

Unsupervised Learning for AoD Estimation in MISO Downlink LoS Transmissions

Abstract: With the emergence of simultaneous localization and communication (SLAC), it becomes more and more attractive to perform angle of departure (AoD) estimation at the receiving Internet of ...