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COMPAS: Representation Learning with Compositional Part Sharing for Few-Shot Classification [article]

Ju He, Adam Kortylewski, Alan Yuille
2021 arXiv   pre-print
We demonstrate the value of our compositional learning framework for a few-shot classification using miniImageNet, tieredImageNet, CIFAR-FS, and FC100, where we achieve state-of-the-art performance.  ...  Few-shot image classification consists of two consecutive learning processes: 1) In the meta-learning stage, the model acquires a knowledge base from a set of training classes. 2) During meta-testing,  ...  Inspired by the compositional representation of objects in humans, we introduce COMPAS, a novel neural architecture for few-shot classification that learns through compositional part sharing.  ... 
arXiv:2101.11878v2 fatcat:gker3nb255acpjss7rdkvdte4y

Algorithmic Fairness Datasets: the Story so Far [article]

Alessandro Fabris, Stefano Messina, Gianmaria Silvello, Gian Antonio Susto
2022 arXiv   pre-print
Moreover we rigorously identify the three most popular fairness datasets, namely Adult, COMPAS and German Credit, for which we compile in-depth documentation.  ...  Secondly, we document and summarize hundreds of available alternatives, annotating their domain and supported fairness tasks, along with additional properties of interest for fairness researchers.  ...  Acknowledgements The authors would like to thank the following researchers and dataset creators for the useful feedback on the data briefs: Alain Barrat, Luc Behaghel, Asia Biega, Marko Bohanec, Chris  ... 
arXiv:2202.01711v3 fatcat:kd546yklwjhvtkrbhtzgbzb2xm

Unsupervised law article mining based on deep pre-trained language representation models with application to the Italian civil code

Andrea Tagarelli, Andrea Simeri
2021 Artificial Intelligence and Law  
One key aspect of our LamBERTa framework is that we conceived it to address an extreme classification scenario, which is characterized by a high number of classes, the few-shot learning problem, and the  ...  Empirical evidence has shown the effectiveness of LamBERTa, and also its superiority against widely used deep-learning text classifiers and a few-shot learner conceived for an attribute-aware prediction  ...  This also leads to coping with few-shot learning issues (i.e., learning models to predict the correct class of instances when a small amount of examples are available in the training dataset),  ... 
doi:10.1007/s10506-021-09301-8 fatcat:emqt5cqekffu5d6mttoljse5xm

The Internet of Federated Things (IoFT): A Vision for the Future and In-depth Survey of Data-driven Approaches for Federated Learning [article]

Raed Kontar, Naichen Shi, Xubo Yue, Seokhyun Chung, Eunshin Byon, Mosharaf Chowdhury, Judy Jin, Wissam Kontar, Neda Masoud, Maher Noueihed, Chinedum E. Okwudire, Garvesh Raskutti (+3 others)
2021 arXiv   pre-print
This article provides a vision for IoFT and a systematic overview of current efforts towards realizing this vision.  ...  model that quickly adapts to new devices or learning tasks.  ...  For simplicity, with few samples. This few-shot property becomes especially we assume E = 1.  ... 
arXiv:2111.05326v1 fatcat:bbgdhtuqcrhstgakt2vxuve2ca

Deep learning methods for fingerprint-based indoor positioning: a review

Fahad Alhomayani, Mohammad H. Mahoor
2020 Journal of Location Based Services  
Recently, the research community started utilizing deep learning methods for fingerprinting after witnessing the great success and superiority these methods have over traditional/shallow machine learning  ...  These challenges along with the common implementation pitfalls are discussed. Finally, the paper is concluded with some remarks as well as future research trends.  ...  with 91 RPs of 1.8 m spacing; outdoor testbed: a campus lawn with 105 RPs of 1.8 m spacing [98] 2017 multi-building and multi-floor classification SAE + FC; Keras for TensorFlow 92 % classification accuracy  ... 
doi:10.1080/17489725.2020.1817582 fatcat:jcgiurmkbrguxm2yyj5itwf4vm

Explainable AI: A Review of Machine Learning Interpretability Methods

Pantelis Linardatos, Vasilis Papastefanopoulos, Sotiris Kotsiantis
2020 Entropy  
This ambiguity has made it problematic for machine learning systems to be adopted in sensitive yet critical domains, where their value could be immense, such as healthcare.  ...  Recent advances in artificial intelligence (AI) have led to its widespread industrial adoption, with machine learning systems demonstrating superhuman performance in a significant number of tasks.  ...  In [140] , a graph attack based on meta-learning was proposed. Meta-learning has been historically employed for fast reinforcement learning, hyperparameter tuning, and few-shot image recognition.  ... 
doi:10.3390/e23010018 pmid:33375658 pmcid:PMC7824368 fatcat:gv42gcovm5cxzl2kmdsluiegdi

Artificial intelligence in the creative industries: a review

Nantheera Anantrasirichai, David Bull
2021 Artificial Intelligence Review  
The potential of AI (or its developers) to win awards for its original creations in competition with human creatives is also limited, based on contemporary technologies.  ...  (RNNs) and deep Reinforcement Learning (DRL).  ...  The last few layers represent the classification part of the network.  ... 
doi:10.1007/s10462-021-10039-7 fatcat:tcctdi7vprfx7mlujvqmpiy3ru

The Dynamics of Language Learning: Research in Reading and English

Sandra Stotsky, James R. Squire
1988 College composition and communication  
There is nothing wrong with that, of course, if the tests really test the important things to be learned. How often does that happen? 2. I went to a one-room school through eighth grade.  ...  .; Papers commissioned for the Mid-Decade Seminar on the Teaching of Reading and English (Chicago, IL, March 29-31, 1985).  ...  The person who slowly acquires the separate parts of a complex system over a Nriod of time can, if the parts are vertically compatible, integrate the new parts with the old easily when new parts become  ... 
doi:10.2307/357831 fatcat:oocc3rm2z5d4nepadsrbxgb6vq

WILDS: A Benchmark of in-the-Wild Distribution Shifts [article]

Pang Wei Koh, Shiori Sagawa, Henrik Marklund, Sang Michael Xie, Marvin Zhang, Akshay Balsubramani, Weihua Hu, Michihiro Yasunaga, Richard Lanas Phillips, Irena Gao, Tony Lee, Etienne David (+11 others)
2021 arXiv   pre-print
This gap remains even with models trained by existing methods for tackling distribution shifts, underscoring the need for new methods for training models that are more robust to the types of distribution  ...  Distribution shifts -- where the training distribution differs from the test distribution -- can substantially degrade the accuracy of machine learning (ML) systems deployed in the wild.  ...  We are grateful for all of the helpful suggestions and constructive feedback from: Aditya Khosla, Andreas Schlueter, Annie Chen, Aleksander Madry, Alexander D'Amour, Allison Koenecke We also gratefully  ... 
arXiv:2012.07421v3 fatcat:bsohmukpszajxeadeo25oxmbs4

Adaptivity without Compromise: A Momentumized, Adaptive, Dual Averaged Gradient Method for Stochastic Optimization [article]

Aaron Defazio, Samy Jelassi
2021 arXiv   pre-print
MADGRAD shows excellent performance on deep learning optimization problems from multiple fields, including classification and image-to-image tasks in vision, and recurrent and bidirectionally-masked models  ...  For each of these tasks, MADGRAD matches or outperforms both SGD and ADAM in test set performance, even on problems for which adaptive methods normally perform poorly.  ...  Language models are few-shot learners. Advances in Neural Information Processing Systems 33 pre-proceedings (NeurIPS 2020), 2020.  ... 
arXiv:2101.11075v3 fatcat:4abvxnr62veqrlcp5vrvltfvbq

Analyzing Multifunctionality of Head Movements in Face-to-Face Conversations Using Deep Convolutional Neural Networks

Kazuhiro Otsuka, Masahiro Tsumori
2020 IEEE Access  
To date, most automated methods of recognizing head movements have targeted classifications of kinetic categories such as nods and shakes, and only a few studies have addressed the recognition of head  ...  It shows that both models performed compa- rably for back-channel (r1), but the CNN model clearly outperformed the SVM for positive emotion (c1) by approximately 5 points in terms of the F-score.  ...  For more information, see https://creativecommons.org/licenses/by-nc-nd/4.0/  ... 
doi:10.1109/access.2020.3041672 fatcat:hnk7jjixlnhwpbicznnczgbdou

Through the Arts to the Aesthetic: The CEMREL Aesthetic Education Curriculum

Ralph A. Smith, Stanley S. Madeja, Sheila Onuska
1978 Journal of Aesthetics and Art Criticism  
at any point in a musical Composition, for and hear the individual, distinctive sound-parts of They learn key terms: one part is a musical Sound (vocal sound combinations.  ...  part and whole compositions?.and so on. 7, Take a "part/whole- field trip.  ... 
doi:10.2307/430493 fatcat:3zm6czkunvbetfgu2njiruiszm

Algorithmic Fairness Datasets: the Story so Far [article]

Alessandro Fabris, Stefano Messina, Gianmaria Silvello, Gian Antonio Susto
2022
In this work, we survey over two hundred datasets employed in algorithmic fairness research, producing standardized and searchable documentation for each of them, along with in-depth documentation for  ...  the three most popular fairness datasets, namely Adult, COMPAS and German Credit.  ...  Acknowledgements The authors would like to thank the following researchers and dataset creators for the useful feedback on the data briefs: Alain Barrat, Luc  ... 
doi:10.48550/arxiv.2202.01711 fatcat:mav36x3w5namjhurzpevtsmsju

Science, Education and Innovations in the Context of Modern Problems [article]

Education and Innovations in the Context of Modern Problems Science
2022 Zenodo  
PCOMM. 8080006), the research participants (for energetic engagement), as well as the publishers for all your helpful comments.  ...  ACKNOWLEDGEMENTS The particular experts lengthen the most appreciation in order to Universiti Sains Malaysia with regard to monetar-ily assisting this particular study underneath the Educational Study  ...  Along the way associated with name and expertise settlement, the primary objective preferably will be to look for a steady part. Yet , a few transforms find it hard to type a powerful credit.  ... 
doi:10.5281/zenodo.6632064 fatcat:s3czqeivdvb4jg6nxu72dd26je

Tango Lessons: Movement, Sound, Image, and Text in Contemporary Practice

Deborah Jakubs
2015 Hispanic American Historical Review  
This narrative of renewal is countered, however, by the aging maestro Balcarce, whose progressive hearing loss becomes part of the story line when he shares his concerns for his growing limitations with  ...  Save for a few exceptions, lyricists have in the majority of cases lent authority to their lyrics with commonplace lunfardisms, that is, they have made few contributions themselves as creators; all in  ... 
doi:10.1215/00182168-3161742 fatcat:5oteay7skvg7xnarexx2rqqevq
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