Valley hydrodynamics in gapped graphene

Kavli Affiliate: Mamoru Matsuo | First 5 Authors: Ryotaro Sano, Daigo Oue, Mamoru Matsuo, , | Summary: Recent experiments have revealed that novel nonequilibrium states consistent with the hydrodynamic description of electrons are realized in ultrapure graphene, which hosts the valley degrees of freedom. Here, we formulate a theory of electron hydrodynamics including dissipation processes […]


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Anti-chiral order and spin reorientation transitions of triangle-based antiferromagnets

Kavli Affiliate: Leon Balents | First 5 Authors: Leon Balents, , , , | Summary: We show that triangle-based antiferromagnets with "anti-chiral" order display a non-trivial dependence of the spin orientation with an in-plane field. The spins evolve from rotating in the opposite sense to the field at very low fields to rotating in the […]


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Data Sampling Affects the Complexity of Online SGD over Dependent Data

Kavli Affiliate: Yi Zhou | First 5 Authors: Shaocong Ma, Ziyi Chen, Yi Zhou, Kaiyi Ji, Yingbin Liang | Summary: Conventional machine learning applications typically assume that data samples are independently and identically distributed (i.i.d.). However, practical scenarios often involve a data-generating process that produces highly dependent data samples, which are known to heavily bias […]


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A Fast and Convergent Proximal Algorithm for Regularized Nonconvex and Nonsmooth Bi-level Optimization

Kavli Affiliate: Yi Zhou | First 5 Authors: Ziyi Chen, Bhavya Kailkhura, Yi Zhou, , | Summary: Many important machine learning applications involve regularized nonconvex bi-level optimization. However, the existing gradient-based bi-level optimization algorithms cannot handle nonconvex or nonsmooth regularizers, and they suffer from a high computation complexity in nonconvex bi-level optimization. In this work, […]


Continue.. A Fast and Convergent Proximal Algorithm for Regularized Nonconvex and Nonsmooth Bi-level Optimization

A Fast and Convergent Proximal Algorithm for Regularized Nonconvex and Nonsmooth Bi-level Optimization

Kavli Affiliate: Yi Zhou | First 5 Authors: Ziyi Chen, Bhavya Kailkhura, Yi Zhou, , | Summary: Many important machine learning applications involve regularized nonconvex bi-level optimization. However, the existing gradient-based bi-level optimization algorithms cannot handle nonconvex or nonsmooth regularizers, and they suffer from a high computation complexity in nonconvex bi-level optimization. In this work, […]


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A quantum-inspired tensor network method for constrained combinatorial optimization problems

Kavli Affiliate: Cheng Peng | First 5 Authors: Tianyi Hao, Xuxin Huang, Chunjing Jia, Cheng Peng, | Summary: Combinatorial optimization is of general interest for both theoretical study and real-world applications. Fast-developing quantum algorithms provide a different perspective on solving combinatorial optimization problems. In this paper, we propose a quantum inspired algorithm for general locally […]


Continue.. A quantum-inspired tensor network method for constrained combinatorial optimization problems

A quantum-inspired tensor network method for constrained combinatorial optimization problems

Kavli Affiliate: Cheng Peng | First 5 Authors: Tianyi Hao, Xuxin Huang, Chunjing Jia, Cheng Peng, | Summary: Combinatorial optimization is of general interest for both theoretical study and real-world applications. Fast-developing quantum algorithms provide a different perspective on solving combinatorial optimization problems. In this paper, we propose a quantum-inspired tensor-network-based algorithm for general locally […]


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Decoupled Multi-task Learning with Cyclical Self-Regulation for Face Parsing

Kavli Affiliate: Zheng Zhu | First 5 Authors: Qingping Zheng, Jiankang Deng, Zheng Zhu, Ying Li, Stefanos Zafeiriou | Summary: This paper probes intrinsic factors behind typical failure cases (e.g. spatial inconsistency and boundary confusion) produced by the existing state-of-the-art method in face parsing. To tackle these problems, we propose a novel Decoupled Multi-task Learning […]


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Delving into the Estimation Shift of Batch Normalization in a Network

Kavli Affiliate: Yi Zhou | First 5 Authors: Lei Huang, Yi Zhou, Tian Wang, Jie Luo, Xianglong Liu | Summary: Batch normalization (BN) is a milestone technique in deep learning. It normalizes the activation using mini-batch statistics during training but the estimated population statistics during inference. This paper focuses on investigating the estimation of population […]


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Sense Embeddings are also Biased–Evaluating Social Biases in Static and Contextualised Sense Embeddings

Kavli Affiliate: Yi Zhou | First 5 Authors: Yi Zhou, Masahiro Kaneko, Danushka Bollegala, , | Summary: Sense embedding learning methods learn different embeddings for the different senses of an ambiguous word. One sense of an ambiguous word might be socially biased while its other senses remain unbiased. In comparison to the numerous prior work […]


Continue.. Sense Embeddings are also Biased–Evaluating Social Biases in Static and Contextualised Sense Embeddings