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Reanalysis of two-tone sequences as 'tone compounds' -in the Pingding dialect of Chinese ...
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XTREME-S: Evaluating Cross-lingual Speech Representations ...
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CVSS Corpus and Massively Multilingual Speech-to-Speech Translation ...
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mSLAM: Massively multilingual joint pre-training for speech and text ...
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The CLEAR Benchmark: Continual LEArning on Real-World Imagery ...
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Abstract:
Continual learning (CL) is widely regarded as crucial challenge for lifelong AI. However, existing CL benchmarks, e.g. Permuted-MNIST and Split-CIFAR, make use of artificial temporal variation and do not align with or generalize to the real-world. In this paper, we introduce CLEAR, the first continual image classification benchmark dataset with a natural temporal evolution of visual concepts in the real world that spans a decade (2004-2014). We build CLEAR from existing large-scale image collections (YFCC100M) through a novel and scalable low-cost approach to visio-linguistic dataset curation. Our pipeline makes use of pretrained vision-language models (e.g. CLIP) to interactively build labeled datasets, which are further validated with crowd-sourcing to remove errors and even inappropriate images (hidden in original YFCC100M). The major strength of CLEAR over prior CL benchmarks is the smooth temporal evolution of visual concepts with real-world imagery, including both high-quality labeled data along with ... : Project site: https://clear-benchmark.github.io ...
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Keyword:
Artificial Intelligence cs.AI; Computer Vision and Pattern Recognition cs.CV; FOS Computer and information sciences; Machine Learning cs.LG
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URL: https://dx.doi.org/10.48550/arxiv.2201.06289 https://arxiv.org/abs/2201.06289
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Learning to Perceive Non-Native Tones via Distributional Training: Effects of Task and Acoustic Cue Weighting
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In: Brain Sciences; Volume 12; Issue 5; Pages: 559 (2022)
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Factors Influencing Medical Personnel to Work in Primary Health Care Institutions: An Extended Theory of Planned Behavior
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In: International Journal of Environmental Research and Public Health; Volume 19; Issue 5; Pages: 2785 (2022)
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Candidacy for Cochlear Implantation in Prelingual Profoundly Deaf Adult Patients
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In: Journal of Clinical Medicine; Volume 11; Issue 7; Pages: 1874 (2022)
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Detection of Chinese Deceptive Reviews Based on Pre-Trained Language Model
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In: Applied Sciences; Volume 12; Issue 7; Pages: 3338 (2022)
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Validation of the Visual Cognitive Assessment Test (VCAT) for the Early Diagnosis of Cognitive Impairment in Multilingual Population in Malaysia
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In: Psych; Volume 4; Issue 1; Pages: 38-48 (2022)
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Decoding the information structure underlying the neural representation of concepts
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In: Proc Natl Acad Sci U S A (2022)
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Analysis of factors affecting medical personnel seeking employment at primary health care institutions: developing human resources for primary health care
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In: Int J Equity Health (2022)
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Toward a flipped 5E model for teaching problem-solution writing in ESL courses: A two-year longitudinal experiment
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Lam, Yau Wai; Hew, Khe Foon; Jia, Chengyuan. - : University of Hawaii National Foreign Language Resource Center, 2022. : Center for Language & Technology, 2022. : (co-sponsored by Center for Open Educational Resources and Language Learning, University of Texas at Austin), 2022
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Candidacy for Cochlear Implantation in Prelingual Profoundly Deaf Adult Patients
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In: J Clin Med (2022)
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Artificial intelligence stenosis diagnosis in coronary CTA: effect on the performance and consistency of readers with less cardiovascular experience
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In: BMC Med Imaging (2022)
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Translation and Cross-Cultural Adaptation of Post-Stroke Checklist into Mandarin: A Cognitive Interview Study
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In: Neuropsychiatr Dis Treat (2022)
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Dual Coding or Cognitive Load? Exploring the Effect of Multimodal Input on English as a Foreign Language Learners’ Vocabulary Learning
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In: Front Psychol (2022)
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Short-Text Classification Detector: A Bert-Based Mental Approach
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In: Comput Intell Neurosci (2022)
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Research Landscape of Artificial Intelligence and e-Learning: A Bibliometric Research
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In: Front Psychol (2022)
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Feasibility of an automated interview grounded in multiple mini interview (MMI) methodology for selection into the health professions: an international multimethod evaluation
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In: BMJ Open (2022)
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