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AttentiveNAS: Improving Neural Architecture Search via Attentive Sampling


Nov 18, 2020
Dilin Wang, Meng Li, Chengyue Gong, Vikas Chandra


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Stein Variational Gradient Descent With Matrix-Valued Kernels


Nov 05, 2019
Dilin Wang, Ziyang Tang, Chandrajit Bajaj, Qiang Liu

* Neural Information Processing Systems 2019 

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Splitting Steepest Descent for Growing Neural Architectures


Nov 04, 2019
Qiang Liu, Lemeng Wu, Dilin Wang

* 33rd Conference on Neural Information Processing Systems (NeurIPS 2019) 

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Energy-Aware Neural Architecture Optimization with Fast Splitting Steepest Descent


Oct 07, 2019
Dilin Wang, Meng Li, Lemeng Wu, Vikas Chandra, Qiang Liu


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Improving Neural Language Modeling via Adversarial Training


Jun 10, 2019
Dilin Wang, Chengyue Gong, Qiang Liu

* International Conference on Machine Learning 2019 

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Variational Inference with Tail-adaptive f-Divergence


Oct 29, 2018
Dilin Wang, Hao Liu, Qiang Liu

* Conference on Neural Information Processing Systems (NIPS) 2018 

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Stein Variational Gradient Descent as Moment Matching


Oct 27, 2018
Qiang Liu, Dilin Wang

* Conference on Neural Information Processing Systems (NIPS) 2018 

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