Robust Domain Adaptation for Machine Reading Comprehension

Kavli Affiliate: Jia Liu | First 5 Authors: Liang Jiang, Zhenyu Huang, Jia Liu, Zujie Wen, Xi Peng | Summary: Most domain adaptation methods for machine reading comprehension (MRC) use a pre-trained question-answer (QA) construction model to generate pseudo QA pairs for MRC transfer. Such a process will inevitably introduce mismatched pairs (i.e., noisy correspondence) […]


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Nonequilibrium design strategies for functional colloidal assemblies

Kavli Affiliate: David T. Limmer | First 5 Authors: Avishek Das, David T. Limmer, , , | Summary: We use a nonequilibrium variational principle to optimize the steady-state, shear-induced interconversion of self-assembled nanoclusters of DNA-coated colloids. Employing this principle within a stochastic optimization algorithm allows us to discover design strategies for functional materials. We find […]


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Nonequilibrium design strategies for functional colloidal assemblies

Kavli Affiliate: David T. Limmer | First 5 Authors: Avishek Das, David T. Limmer, , , | Summary: We use a nonequilibrium variational principle to optimize the steady-state, shear-induced interconversion of self-assembled nanoclusters of DNA-coated colloids. Employing this principle within a stochastic optimization algorithm allows us to discover design strategies for functional materials. We find […]


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Improving Conversational Recommender System via Contextual and Time-Aware Modeling with Less Domain-Specific Knowledge

Kavli Affiliate: Wei Gao | First 5 Authors: Lingzhi Wang, Shafiq Joty, Wei Gao, Xingshan Zeng, Kam-Fai Wong | Summary: Conversational Recommender Systems (CRS) has become an emerging research topic seeking to perform recommendations through interactive conversations, which generally consist of generation and recommendation modules. Prior work on CRS tends to incorporate more external and […]


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Ronchigram Simulation and Training through Ronchigram.com

Kavli Affiliate: Lena F. Kourkoutis | First 5 Authors: Suk Hyun Sung, Noah Schnitzer, William Millsaps, Lena F. Kourkoutis, Robert Hovden | Summary: This article introduces a training simulator for electron beam alignment using Ronchigrams. The interactive web application, www.ronchigram.com, is an advanced educational tool aimed at making scanning transmission electron microscopy (STEM) more accessible […]


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Visuospatial information foraging describes search behavior in learning latent environmental features

Kavli Affiliate: C. Daniel Salzman | Authors: David L Barack, Akram Bakkour, Daphna Shohamy and C Daniel Salzman | Summary: Abstract In the real world, making sequences of decisions to achieve goals often depends upon the ability to learn aspects of the environment that are not directly perceptible. Learning these so-called latent features requires seeking […]


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Corticothalamic Neurons in Motor Cortex Have a Permissive Role in Motor Execution

Kavli Affiliate: Costa, Rui | Authors: Lina Marcela Carmona, Lin T Tun, An Kim, Rani Shiao, Michael D Kissner, Vilas Menon and Rui M Costa | Summary: ABSTRACT The primary motor cortex (M1) is a central hub for motor learning and execution, as it receives input from and broadcasts to a multitude of other motor […]


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Dynamic refinement of behavioral structure mediates dopamine-dependent credit assignment

Kavli Affiliate: Costa, Rui | Authors: Jonathan C.Y. Tang, Vitor Paixao, Filipe Carvalho, Artur Silva, Andreas Klaus, Joaquim Alves da Silva and Rui M Costa | Summary: Abstract Animals exhibit a diverse behavioral repertoire when exploring new environments and can learn which actions or action sequences produce positive outcomes. Dopamine release upon encountering reward is […]


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Recurrence-free Survival Prediction under the Guidance of Automatic Gross Tumor Volume Segmentation for Head and Neck Cancers

Kavli Affiliate: Jing Wang | First 5 Authors: Kai Wang, Yunxiang Li, Michael Dohopolski, Tao Peng, Weiguo Lu | Summary: For Head and Neck Cancers (HNC) patient management, automatic gross tumor volume (GTV) segmentation and accurate pre-treatment cancer recurrence prediction are of great importance to assist physicians in designing personalized management plans, which have the […]


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