Search All 2022 Events
 

15 Results

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Poster
Wed 9:00 MĀ³ViT: Mixture-of-Experts Vision Transformer for Efficient Multi-task Learning with Model-Accelerator Co-design
hanxue liang · Zhiwen Fan · Rishov Sarkar · Ziyu Jiang · Tianlong Chen · Kai Zou · Yu Cheng · Cong Hao · Zhangyang Wang
Poster
Thu 14:00 Semi-Discrete Normalizing Flows through Differentiable Tessellation
Ricky T. Q. Chen · Brandon Amos · Maximilian Nickel
Poster
Wed 9:00 Mean Estimation in High-Dimensional Binary Markov Gaussian Mixture Models
Yihan Zhang · Nir Weinberger
Workshop
Probabilistic Mixture Modeling For End-Member Extraction in Hyperspectral Data
Oliver Hoidn · Aashwin Mishra · Apurva Mehta
Poster
Wed 9:00 Beyond black box densities: Parameter learning for the deviated components
Dat Do · Nhat Ho · XuanLong Nguyen
Workshop
Potential Energy based Mixture Model for Noisy Label Learning
Zijia Wang · Wenbin Yang · Zhi-Song Liu · Zhen Jia
Poster
Thu 9:00 Unsupervised Learning under Latent Label Shift
Manley Roberts · Pranav Mani · Saurabh Garg · Zachary Lipton
Poster
Wed 14:00 GMMSeg: Gaussian Mixture based Generative Semantic Segmentation Models
Chen Liang · Wenguan Wang · Jiaxu Miao · Yi Yang
Poster
High-dimensional limit theorems for SGD: Effective dynamics and critical scaling
Gerard Ben Arous · Reza Gheissari · Aukosh Jagannath
Poster
Online Neural Sequence Detection with Hierarchical Dirichlet Point Process
Weihan Li · Yu Qi · Gang Pan
Poster
Tue 9:00 Pluralistic Image Completion with Gaussian Mixture Models
Xiaobo Xia · Wenhao Yang · Jie Ren · Yewen Li · Yibing Zhan · Bo Han · Tongliang Liu
Poster
Wed 14:00 Uni-Perceiver-MoE: Learning Sparse Generalist Models with Conditional MoEs
Jinguo Zhu · Xizhou Zhu · Wenhai Wang · Xiaohua Wang · Hongsheng Li · Xiaogang Wang · Jifeng Dai