16.2k citations · 27k across the 29 of their papers we have counts for
5 papers · 1 filter
Semantic Segmentation using Adversarial Networks
Pauline Luc, Camille Couprie, Soumith Chintala +1
Adversarial training has been shown to produce state of the art results for generative image modeling. In this paper we propose an adversarial training approach to train semantic s…
TorchCraft: a Library for Machine Learning Research on Real-Time Strategy Games
Gabriel Synnaeve, Nantas Nardelli, Alex Auvolat +5
We present TorchCraft, a library that enables deep learning research on Real-Time Strategy (RTS) games such as StarCraft: Brood War, by making it easier to control these games from…
Episodic Exploration for Deep Deterministic Policies: An Application to StarCraft Micromanagement Tasks
Nicolas Usunier, Gabriel Synnaeve, Zeming Lin +1
We consider scenarios from the real-time strategy game StarCraft as new benchmarks for reinforcement learning algorithms. We propose micromanagement tasks, which present the proble…
Discovering Causal Signals in Images
David Lopez-Paz, Robert Nishihara, Soumith Chintala +2
This paper establishes the existence of observable footprints that reveal the "causal dispositions" of the object categories appearing in collections of images. We achieve this goa…
A MultiPath Network for Object Detection
Sergey Zagoruyko, Adam Lerer, Tsung-Yi Lin +4
The recent COCO object detection dataset presents several new challenges for object detection. In particular, it contains objects at a broad range of scales, less prototypical imag…