Poster

Thu 9:00

Meta-DMoE: Adapting to Domain Shift by Meta-Distillation from Mixture-of-Experts
Tao Zhong · Zhixiang Chi · Li Gu · Yang Wang · Yuanhao Yu · Jin Tang

Poster

Tue 14:00

Spatial Mixture-of-Experts
Nikoli Dryden · Torsten Hoefler

Poster

Thu 14:00

Towards Understanding the Mixture-of-Experts Layer in Deep Learning
Zixiang Chen · Yihe Deng · Yue Wu · Quanquan Gu · Yuanzhi Li

Workshop

Learning Mixture Structure on Multi-Source Time Series for Probabilistic Forecasting
Tian Guo

Poster

Distributed Learning of Finite Gaussian Mixtures
Qiong Zhang · Jiahua Chen

Poster

Online Neural Sequence Detection with Hierarchical Dirichlet Point Process
Weihan Li · Yu Qi · Gang Pan

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

Workshop

Potential Energy based Mixture Model for Noisy Label Learning
Zijia Wang · Wenbin Yang · Zhi-Song Liu · Zhen Jia

Poster

Tue 9:00

Private Estimation with Public Data
Alex Bie · Gautam Kamath · Vikrant Singhal

Poster

Thu 14:00

Computationally Efficient Horizon-Free Reinforcement Learning for Linear Mixture MDPs
Dongruo Zhou · Quanquan Gu

Poster

Tue 14:00

Graph Convolution Network based Recommender Systems: Learning Guarantee and Item Mixture Powered Strategy
Leyan Deng · Defu Lian · Chenwang Wu · Enhong Chen

Poster

Wed 14:00

A Fourier Approach to Mixture Learning
Mingda Qiao · Guru Guruganesh · Ankit Rawat · Kumar Avinava Dubey · Manzil Zaheer