标签:big data

Evaluating Data Augmentation for Financial Time Series Classification

Evaluating Data Augmentation for Financial Time Series Classification Abstract Data augmentation methods in combination with deep neural networks have been used extensively in ……

COG: Connecting New Skills to Past Experience with Offline Reinforcement Learning

COG: Connecting New Skills to Past Experience with Offline Reinforcement Learning Avi Singh, Albert Yu, Jonathan Yang, Jesse Zhang, Aviral Kumar, Sergey LevineUniversity of Cali……

Generating Plausible Counterfactual Explanations for Deep Transformers in Financial Text Classification

Generating Plausible Counterfactual Explanations for Deep Transformers in Financial Text Classification Linyi YangInsight Centre ,University College Dublin, IrelandEoin M. KennyI……

Neural Audio Fingerprint for High-specific Audio Retrieval based on Contrastive Learning

Neural Audio Fingerprint for High-specific Audio Retrieval based on Contrastive Learning Abstract Most of existing audio fingerprinting systems have limitations to be used for ……

End User Accounts of Dark Patterns as Felt Manipulation

End User Accounts of Dark Patterns as Felt Manipulation Colin M. Graygray42@purdue.edu, Jingle Chenchen2287@purdue.edu, Shruthi Sai Chivukulacshruthi@purdue.edu an……

Where Is the Normative Proof? Assumptions and Contradictions in ML Fairness Research

Where Is the Normative Proof? Assumptions and Contradictions in ML Fairness Research A. Feder CooperDepartment of Computer ScienceCornell Universityafc78@cornell.edu Abstract……

Tilting at windmills: Data augmentation for deep pose estimation does not help with occlusions

Tilting at windmills: Data augmentation for deep pose estimation does not help with occlusions Rafal Pytel Computer Vision LabDelft University of Technology  Osman Semi……

FishNet: A Unified Embedding for Salmon Recognition

FishNet: A Unified Embedding for Salmon Recognition Bjørn Magnus Mathisen Department of Computer Science, Faculty of Information Technology and Electrical Engineer……

A Demonstration of Smart Doorbell Design Using Federated Deep Learning

A Demonstration of Smart Doorbell Design Using Federated Deep Learning Vatsal Patel, Sarth Kanani, Tapan Pathakvatsal.pce18@sot.pdpu.ac.insarth.kce18@sot.pdpu.ac.intapan.pce18@so……

Semi-supervised Batch Active Learning via Bilevel Optimization

Semi-supervised Batch Active Learning via Bilevel Optimization Abstract Active learning is an effective technique for reducing the labeling cost by improving data efficiency. I……