Abstract: Pedestrian detection is a challenging task in practical scenarios. Data augmentation is an effective way to deal with this problem, but designing a suitable data augmentation policy requires ...

Abstract: Many safety-critical applications of neural networks, such as robotic control, require safety guarantees. This article introduces a method for ensuring the safety of learned models for ...

Human brains can turn a single messy experience into a lasting skill, while even the most advanced artificial intelligence ...

The Central Board of Secondary Education (CBSE) holds the term-end board exams for class 12, which is considered among the top and hardest exams in the country. It’s the most important test in a ...

Implementation of Hindsight Differentiable Policy Optimization, as described in the paper Deep Reinforcement Learning for Inventory Networks: Toward Reliable Policy Optimization. We argue that ...

Theseus is an efficient application-agnostic library for building custom nonlinear optimization layers in PyTorch to support constructing various problems in robotics and vision as end-to-end ...