Many defenses against adversarial attacks (robust classifiers,
randomiza...
Tree Search (TS) is crucial to some of the most influential successes in...
Deep-learning-based algorithms have led to impressive results in
visual-...
Game publishers and anti-cheat companies have been unsuccessful in block...
Extracting interesting scenarios from real-world data as well as generat...
One fundamental difficulty in robotic learning is the sim-real gap probl...
We designed and implemented a CUDA port of the Atari Learning Environmen...
Structural pruning of neural network parameters reduces computation, ene...
Training intelligent agents through reinforcement learning is a notoriou...
Scene motion, multiple reflections, and sensor noise introduce artifacts...
In the context of deep learning for robotics, we show effective method o...
To denoise a reference patch, the Non-Local-Means denoising filter proce...
The non-stationary nature of image characteristics calls for adaptive
pr...
Neural networks are becoming central in several areas of computer vision...