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Poster
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Thu 9:00
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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
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Poster
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Tue 14:00
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Spatial Mixture-of-Experts
Nikoli Dryden · Torsten Hoefler
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Poster
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Thu 14:00
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Towards Understanding the Mixture-of-Experts Layer in Deep Learning
Zixiang Chen · Yihe Deng · Yue Wu · Quanquan Gu · Yuanzhi Li
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Poster
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Distributed Learning of Finite Gaussian Mixtures
Qiong Zhang · Jiahua Chen
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Workshop
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Learning Mixture Structure on Multi-Source Time Series for Probabilistic Forecasting
Tian Guo
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Poster
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Online Neural Sequence Detection with Hierarchical Dirichlet Point Process
Weihan Li · Yu Qi · Gang Pan
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Workshop
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Potential Energy based Mixture Model for Noisy Label Learning
Zijia Wang · Wenbin Yang · Zhi-Song Liu · Zhen Jia
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Poster
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Wed 14:00
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Uni-Perceiver-MoE: Learning Sparse Generalist Models with Conditional MoEs
Jinguo Zhu · Xizhou Zhu · Wenhai Wang · Xiaohua Wang · Hongsheng Li · Xiaogang Wang · Jifeng Dai
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Poster
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Tue 9:00
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Private Estimation with Public Data
Alex Bie · Gautam Kamath · Vikrant Singhal
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Poster
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Thu 14:00
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Computationally Efficient Horizon-Free Reinforcement Learning for Linear Mixture MDPs
Dongruo Zhou · Quanquan Gu
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Poster
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Tue 14:00
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Graph Convolution Network based Recommender Systems: Learning Guarantee and Item Mixture Powered Strategy
Leyan Deng · Defu Lian · Chenwang Wu · Enhong Chen
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Poster
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Wed 14:00
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A Fourier Approach to Mixture Learning
Mingda Qiao · Guru Guruganesh · Ankit Rawat · Kumar Avinava Dubey · Manzil Zaheer
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