- A framework based on symbolic regression coupled with eXtended Physics-Informed Neural Networks for gray-box learning of equations of motion from data
2023/07/25 by Elham Kiyani, Khemraj Shukla, George Em Karniadakis +1 · 5 citations
Engineering · Mathematics · Physics and Astronomy · #Algorithm #Applied mathematics #Artificial intelligence #Artificial neural network #Computer science #Domain (mathematical analysis) #Fluid Dynamics and Turbulent Flows #Lattice Boltzmann Simulation Studies #Mathematical analysis #Mathematics #Matrix norm #Model Reduction and Neural Networks #Noise (video) #Nonlinear system #Norm (philosophy) #Physics #Symbolic regression #Test data
- Amplifying Membership Exposure via Data Poisoning
2022/11/01 by Yufei Chen, Chao Shen, Chen, Yufei +7 · 7 citations
Computer Science · #Adversarial Robustness in Machine Learning #Anomaly Detection Techniques and Applications #Artificial intelligence #Computer science #Computer security #Cryptography and Security (cs.CR) #Data mining #Data set #Explainable Artificial Intelligence (XAI) #FOS: Computer and information sciences #Inference #Machine Learning (stat.ML) #Machine learning #Set (abstract data type) #Test data #Test set #Training set
- Continual Test-Time Domain Adaptation
2022/03/25 by Qin Wang, Wang, Qin, Olga Fink +5 · 108 citations
Computer Science · Engineering · #Adaptation (eye) #Artificial intelligence #Computer Vision and Pattern Recognition (cs.CV) #Computer science #Domain Adaptation and Few-Shot Learning #Domain adaptation #Engineering #FOS: Computer and information sciences #Forgetting #Key (lock) #Machine Learning and ELM #Machine learning #Multimodal Machine Learning Applications #Regularization (linguistics) #Segmentation #Task (project management) #Test data #cs.CV
- ADAST: Attentive Cross-domain EEG-based Sleep Staging Framework with Iterative Self-Training
2021/07/09 by Emadeldeen Eldele, Eldele, Emadeldeen, Mohamed Ragab +11 · 6 citations
Computer Science · Medicine · Neuroscience · #Artificial intelligence #Computer science #Domain (mathematical analysis) #Domain Adaptation and Few-Shot Learning #EEG and Brain-Computer Interfaces #FOS: Computer and information sciences #Feature (linguistics) #Feature extraction #Machine Learning (cs.LG) #Machine learning #Obstructive Sleep Apnea Research #Pattern recognition (psychology) #Robustness (evolution) #Test data
- SimAug: Learning Robust Representations from Simulation for Trajectory Prediction
2020/04/04 by Junwei Liang, Lu Jiang, Liang, Junwei +4 · 2 citations
Computer Science · Engineering · Mathematics · #Adversarial system #Anomaly Detection Techniques and Applications #Artificial intelligence #Autonomous Vehicle Technology and Safety #Computer Vision and Pattern Recognition (cs.CV) #Computer science #Domain (mathematical analysis) #Drone #FOS: Computer and information sciences #Feature (linguistics) #Feature learning #Key (lock) #Machine learning #Mathematics #Representation (politics) #Test data #Training set #Trajectory #Variety (cybernetics) #Video Surveillance and Tracking Methods #cs.CV
- Fixing the train-test resolution discrepancy
2019/06/14 by Hugo Touvron, Andrea Vedaldi, Touvron, Hugo +6 · 2 voices · 31 citations
Computer Science · #Advanced Neural Network Applications #Adversarial Robustness in Machine Learning #Artificial intelligence #Artificial neural network #Classifier (UML) #Computer science #Contextual image classification #Domain Adaptation and Few-Shot Learning #Image (mathematics) #Image processing #Machine learning #Pattern recognition (psychology) #Residual neural network #Resolution (logic) #Standard test image #Test data #Training set #cs.CV #cs.LG
- Practical Constraint Solving for Generating System Test Data
2019/02/28 by Ghanem Soltana, Mehrdad Sabetzadeh, Lionel C. Briand · 1 citation
Computer Science · #Constraint (computer-aided design) #Formal Methods in Verification #Metaheuristic #Model-Driven Software Engineering Techniques #Rotation formalisms in three dimensions #Satisfiability #Satisfiability modulo theories #Scalability #Software #Software Testing and Debugging Techniques #Test case #Test data #cs.SE
- Cross-Entropy Loss and Low-Rank Features Have Responsibility for Adversarial Examples
2019/01/24 by Kamil Nar, Orhan Öçal, Orhan Ocal +6 · 1 citation
Computer Science · Engineering · Mathematics · #Adversarial Robustness in Machine Learning #Adversarial system #Anomaly Detection Techniques and Applications #Artificial intelligence #Artificial neural network #Binary classification #Classifier (UML) #Computer science #Cross entropy #Decision boundary #Entropy (arrow of time) #FOS: Computer and information sciences #Integrated Circuits and Semiconductor Failure Analysis #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Machine learning #Margin (machine learning) #Minification #Pattern recognition (psychology) #Support vector machine #Test data #Training set #cs.LG #stat.ML
- Data preprocessing techniques for classification without discrimination
2011/12/03 by Faisal Kamiran, Toon Calders · 8 citations
Computer Science · #Artificial intelligence #Binary classification #Classifier (UML) #Computer science #Data mining #Data pre-processing #Imbalanced Data Classification Techniques #Labeled data #Machine Learning and Algorithms #Machine Learning and Data Classification #Machine learning #Noisy data #Pattern recognition (psychology) #Preprocessor #Resampling #Support vector machine #Test data