CityGen: Infinite and Controllable 3D City Layout Generation

no code implementations • 3 Dec 2023 • Jie Deng, Wenhao Chai, Jianshu Guo, Qixuan Huang, Wenhao Hu, Jenq-Neng Hwang, Gaoang Wang

In this paper, we propose CityGen, a novel end-to-end framework for infinite, diverse and controllable 3D city layout generation. First, we propose an outpainting pipeline to extend the local layout to an infinite city layout.

Extreme Classification in Log Memory using Count-Min Sketch: A Case Study of Amazon Search with 50M Products

1 code implementation • NeurIPS 2019 • Tharun Medini, Qixuan Huang, Yiqiu Wang, Vijai Mohan, Anshumali Shrivastava

Our largest model has 6. 4 billion parameters and trains in less than 35 hours on a single p3. 16x machine.

Classification General Classification +1

Extreme Classification in Log Memory

no code implementations • 9 Oct 2018 • Qixuan Huang, Yiqiu Wang, Tharun Medini, Anshumali Shrivastava

With MACH we can train ODP dataset with 100, 000 classes and 400, 000 features on a single Titan X GPU, with the classification accuracy of 19. 28%, which is the best-reported accuracy on this dataset.

Classification General Classification

MACH: Embarrassingly parallel $K$-class classification in $O(d\log{K})$ memory and $O(K\log{K} + d\log{K})$ time, instead of $O(Kd)$

no code implementations • ICLR 2018 • Qixuan Huang, Anshumali Shrivastava, Yiqiu Wang

MACH is the first generic $K$-classification algorithm, with provably theoretical guarantees, which requires $O(\log{K})$ memory without any assumption on the relationship between classes.

Classification General Classification