1 code implementation • 25 Oct 2023 • Yang Wu, Shilong Wang, Hao Yang, Tian Zheng, Hongbo Zhang, Yanyan Zhao, Bing Qin
In this paper, we evaluate different abilities of GPT-4V including visual understanding, language understanding, visual puzzle solving, and understanding of other modalities such as depth, thermal, video, and audio.
1 code implementation • NeurIPS 2023 • Sungduk Yu, Walter Hannah, Liran Peng, Jerry Lin, Mohamed Aziz Bhouri, Ritwik Gupta, Björn Lütjens, Justus Christopher Will, Gunnar Behrens, Julius Busecke, Nora Loose, Charles I Stern, Tom Beucler, Bryce Harrop, Benjamin R Hillman, Andrea Jenney, Savannah Ferretti, Nana Liu, Anima Anandkumar, Noah D Brenowitz, Veronika Eyring, Nicholas Geneva, Pierre Gentine, Stephan Mandt, Jaideep Pathak, Akshay Subramaniam, Carl Vondrick, Rose Yu, Laure Zanna, Tian Zheng, Ryan Abernathey, Fiaz Ahmed, David C Bader, Pierre Baldi, Elizabeth Barnes, Christopher Bretherton, Peter Caldwell, Wayne Chuang, Yilun Han, Yu Huang, Fernando Iglesias-Suarez, Sanket Jantre, Karthik Kashinath, Marat Khairoutdinov, Thorsten Kurth, Nicholas Lutsko, Po-Lun Ma, Griffin Mooers, J. David Neelin, David Randall, Sara Shamekh, Mark A Taylor, Nathan Urban, Janni Yuval, Guang Zhang, Michael Pritchard
The dataset is global in coverage, spans multiple years at high sampling frequency, and is designed such that resulting emulators are compatible with downstream coupling into operational climate simulators.
no code implementations • 12 Sep 2022 • Chengliang Tang, Nathan Lenssen, Ying WEI, Tian Zheng
To overcome this fundamental issue, we propose Wasserstein Distributional Learning (WDL), a flexible density-on-scalar regression modeling framework that starts with the Wasserstein distance $W_2$ as a proper metric for the space of density outcomes.
1 code implementation • 2 Mar 2022 • Shenggan Cheng, Xuanlei Zhao, Guangyang Lu, Jiarui Fang, Zhongming Yu, Tian Zheng, Ruidong Wu, Xiwen Zhang, Jian Peng, Yang You
In this work, we present FastFold, an efficient implementation of AlphaFold for both training and inference.
no code implementations • CVPR 2022 • Leyao Liu, Tian Zheng, Yun-Jou Lin, Kai Ni, Lu Fang
Based on INS-Conv, an online joint 3D semantic and instance segmentation pipeline is proposed, reaching an inference speed of 15 FPS on GPU and 10 FPS on CPU.
no code implementations • 5 Dec 2021 • Tamara Broderick, Andrew Gelman, Rachael Meager, Anna L. Smith, Tian Zheng
Probabilistic machine learning increasingly informs critical decisions in medicine, economics, politics, and beyond.
no code implementations • 2 Jun 2021 • Chengliang Tang, María Uriarte, Helen Jin, Douglas C. Morton, Tian Zheng
In this paper, we propose a novel machine learning framework, artificial perceptual learning (APL), to tackle the problem of weakly supervised image categorization.
no code implementations • 2 Jun 2021 • Chengliang Tang, Gan Yuan, Tian Zheng
The past two decades have witnessed the great success of the algorithmic modeling framework advocated by Breiman et al. (2001).
Cultural Vocal Bursts Intensity Prediction Weakly-supervised Learning
no code implementations • 17 Dec 2020 • Owen G. Ward, Jing Wu, Tian Zheng, Anna L. Smith, James P. Curley
We compare all models using simulated and real data.
Applications Methodology
1 code implementation • 3 Sep 2020 • Guanhua Fang, Owen G. Ward, Tian Zheng
To circumvent this challenge, we propose a fast online variational inference algorithm for estimating the latent structure underlying dynamic event arrivals on a network, using continuous-time point process latent network models.
no code implementations • 10 Jul 2020 • Owen G. Ward, Zhen Huang, Andrew Davison, Tian Zheng
Embedding nodes of a large network into a metric (e. g., Euclidean) space has become an area of active research in statistical machine learning, which has found applications in natural and social sciences.
no code implementations • CVPR 2020 • Lei Han, Tian Zheng, Lan Xu, Lu Fang
3D instance segmentation, with a variety of applications in robotics and augmented reality, is in large demands these days.
Ranked #1 on 3D Instance Segmentation on SceneNN
no code implementations • 21 Apr 2016 • Yuting Ma, Tian Zheng
To mitigate this issue, we introduce a stabilized truncated stochastic gradient descent algorithm.
no code implementations • 10 Dec 2015 • Yuting Ma, Tian Zheng
In this paper, we propose a nonlinear sparse metric learning algorithm via boosting.
no code implementations • 25 Feb 2015 • Linda S. L. Tan, Aik Hui Chan, Tian Zheng
In this work, we address the problem of field variation and introduce an article level metric useful for evaluating individual articles' visibility.