Data efficient deep multimodal learning by Shen, Meng

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Optimistic Sampling Strategy for Data-Efficient Reinforcement Learning by Dongfang Zhao, Jiafeng Liu, Rui Wu, Dansong Cheng, Xianglong Tang

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On data efficiency of univariate time series anomaly detection models by Wu Sun, Hui Li, Qingqing Liang, Xiaofeng Zou, Mei Chen, Yanhao Wang

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Adversarial counterfactual augmentation: application in Alzheimer’s disease classification by Tian Xia, Pedro Sanchez, Chen Qin, Chen Qin, Sotirios A. Tsaftaris, Sotirios A. Tsaftaris

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Butterfly: μW Level ULP Sensor Nodes with High Task Throughput by Chong Zhang, Li Lu, Yihang Song, Qianhe Meng, Junqin Zhang, Xiandong Shao, Guangyuan Zhang, Mengshu Hou

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Image Classification With Small Datasets: Overview and Benchmark by Lorenzo Brigato, Bjorn Barz, Luca Iocchi, Joachim Denzler

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Efficient Robot Skills Learning with Weighted Near-Optimal Experiences Policy Optimization by Liwei Hou, Hengsheng Wang, Haoran Zou, Qun Wang

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Reactive power optimization via deep transfer reinforcement learning for efficient adaptation to multiple scenarios by Congbo Bi, Di Liu, Lipeng Zhu, Chao Lu, Shiyang Li, Yingqi Tang

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Bayesian inference of transition matrices from incomplete graph data with a topological prior by Vincenzo Perri, Luka V. Petrović, Ingo Scholtes

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Optimal Quantization Scheme for Data-Efficient Target Tracking via UWSNs Using Quantized Measurements by Senlin Zhang, Huayan Chen, Meiqin Liu, Qunfei Zhang

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SPT-Swin: A Shifted Patch Tokenization Swin Transformer for Image Classification by Gazi Jannatul Ferdous, Khaleda Akhter Sathi, Md. Azad Hossain, M. Ali Akber Dewan

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A Space-Variant Visual Pathway Model for Data Efficient Deep Learning by Piotr Ozimek, Nina Hristozova, Lorinc Balog, Jan Paul Siebert

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MKD: Mixup-Based Knowledge Distillation for Mandarin End-to-End Speech Recognition by Xing Wu, Yifan Jin, Jianjia Wang, Quan Qian, Yike Guo

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A survey on data‐efficient algorithms in big data era by Amina Adadi

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Risk-Aware Model-Based Control by Chen Yu, Andre Rosendo

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Combining Synthetic Images and Deep Active Learning: Data-Efficient Training of an Industrial Object Detection Model by Leon Eversberg, Jens Lambrecht

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Spectroscopy Approaches for Food Safety Applications: Improving Data Efficiency Using Active Learning and Semi-supervised Learning by Huanle Zhang, Nicharee Wisuthiphaet, Hemiao Cui, Nitin Nitin, Xin Liu, Qing Zhao

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Enhanced Heart Rate Prediction Model Using Damped Least-Squares Algorithm by Angela An, Mohammad Al-Fawa’reh, James Jin Kang

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Cracking the genetic code with neural networks by Marc Joiret, Marine Leclercq, Gaspard Lambrechts, Francesca Rapino, Pierre Close, Gilles Louppe, Liesbet Geris, Liesbet Geris, Liesbet Geris

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Data Efficient Reinforcement Learning for Integrated Lateral Planning and Control in Automated Parking System by Shaoyu Song, Hui Chen, Hongwei Sun, Meicen Liu

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