1. Predicting Neuromodulation Outcome for Parkinson's Disease with Generative Virtual Brain Model
   2026/03/31 by Siyuan Du, Siyi Li, Shuwei Bai +10 · 2 voices
   Biochemistry, Genetics and Molecular Biology · Computer Science · Medicine · Neuroscience · #Counterfactual thinking #Deep brain stimulation #Disease #Dropout (neural networks) #EEG and Brain-Computer Interfaces #Functional Brain Connectivity Studies #Generative grammar #Generative model #Neurological disorders and treatments #Neuromodulation #Outcome (game theory) #Overfitting #Virtual patient #cs.AI #cs.CE #cs.CV #q-bio.NC
2. Non-Robustness in Log-Like Specifications
   2026/03/16 by Jack Fitzgerald, Joop Adema, Lenka Fiala +2 · 1 voice · 1 citation
   Computer Science · Economics, Econometrics and Finance · #Complex Systems and Time Series Analysis #Data Analysis with R #Monetary Policy and Economic Impact #Overfitting #Poisson regression #Quantile #Regression #Replication (statistics) #Scale (ratio) #Statistical hypothesis testing #Statistical model #Transformation (genetics)
3. OptiLeak: Efficient Prompt Reconstruction via Reinforcement Learning in Multi-tenant LLM Services
   2026/02/24 by Longxiang Wang, Xiang Zheng, Xuhao Zhang +3 · 1 voice
   Computer Science · #Advanced Data Storage Technologies #Information leakage #Key (lock) #Overfitting #Preference #Ranking (information retrieval) #Reinforcement learning #Security and Verification in Computing #Security token #Software System Performance and Reliability #cs.AI #cs.CR
4. A Review of Hybrid and Ensemble in Deep Learning for Natural Language Processing
   2023/12/09 by Jianguo Jia, Jia, Jianguo, Liang Wen +3 · 20 citations
   Computer Science · Engineering · #Artificial Intelligence (cs.AI) #Artificial intelligence #Artificial neural network #Automatic summarization #Computer science #Deep learning #Engineering #Ensemble learning #FOS: Computer and information sciences #Interpretability #Language model #Machine learning #Machine translation #Natural language #Natural language processing #Natural language understanding #Overfitting #Topic Modeling #Transformer
5. BiRT: Bio-inspired Replay in Vision Transformers for Continual Learning
   2023/05/08 by Kishaan Jeeveswaran, Jeeveswaran, Kishaan, Prashant Bhat +5 · 6 citations
   Computer Science · Engineering · Medicine · #Artificial intelligence #Artificial neural network #COVID-19 diagnosis using AI #Cognitive psychology #Computer Vision and Pattern Recognition (cs.CV) #Computer science #Computer vision #Domain Adaptation and Few-Shot Learning #Engineering #FOS: Computer and information sciences #Forgetting #Machine Learning (cs.LG) #Machine learning #Multimodal Machine Learning Applications #Neural and Evolutionary Computing (cs.NE) #Overfitting #Transformer
6. A simple but strong baseline for online continual learning: Repeated Augmented Rehearsal
   2022/09/28 by Yaqian Zhang, Zhang, Yaqian, Bernhard Pfahringer +9 · 13 citations
   Computer Science · Psychology · #Artificial Intelligence (cs.AI) #Artificial intelligence #Artificial neural network #Baseline (sea) #Chunking (psychology) #Cognitive psychology #Computer science #Data Stream Mining Techniques #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #Forgetting #Heuristics #Hyperparameter #Machine Learning (cs.LG) #Machine Learning and ELM #Machine learning #Overfitting #Psychology #Simple (philosophy) #Trajectory
7. Filter-enhanced MLP is All You Need for Sequential Recommendation
   2022/02/28 by Kun Zhou, Hui Yu, Wayne Xin Zhao +2 · 370 citations
   Computer Science · #Artificial intelligence #Artificial neural network #Computer science #Data mining #Filter (signal processing) #Machine learning #Noise (video) #Overfitting #Pattern recognition (psychology) #Recommender Systems and Techniques #Recommender system #Stochastic Gradient Optimization Techniques #Topic Modeling #Transformer #cs.AI #cs.IR
8. Benign Overfitting in Two-layer Convolutional Neural Networks
   2022/02/14 by Yuan Cao, Cao, Yuan, Zixiang Chen +5 · 20 citations
   Computer Science · Mathematics · Physics and Astronomy · #Advanced Neural Network Applications #Adversarial Robustness in Machine Learning #Artificial intelligence #Artificial neural network #Computer science #Convolutional neural network #FOS: Computer and information sciences #FOS: Mathematics #Image (mathematics) #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Machine learning #Model Reduction and Neural Networks #Noise (video) #Optimization and Control (math.OC) #Overfitting #Pattern recognition (psychology) #Test set #cs.LG #math.OC #stat.ML
9. Revisiting and Advancing Fast Adversarial Training Through The Lens of Bi-Level Optimization
   2021/12/23 by Yihua Zhang, Zhang, Yihua, Guanhua Zhang +9 · 19 citations
   Computer Science · Mathematics · #Advanced Neural Network Applications #Adversarial Robustness in Machine Learning #Adversarial system #Algorithm #Artificial intelligence #Artificial neural network #Computer science #Deep learning #Deep neural networks #FOS: Computer and information sciences #Gradient descent #Machine Learning (cs.LG) #Machine Learning and Algorithms #Machine learning #Mathematical optimization #Mathematics #Maximization #Overfitting #Regularization (linguistics) #Robust optimization #Robustness (evolution) #Sign (mathematics)
10. IntraQ: Learning Synthetic Images with Intra-Class Heterogeneity for Zero-Shot Network Quantization
    2021/11/17 by Yunshan Zhong, Zhong, Yunshan, Mingbao Lin +11 · 6 citations
    Computer Science · Mathematics · Medicine · #Advanced Neural Network Applications #Algorithm #Artificial intelligence #Artificial neural network #COVID-19 diagnosis using AI #Class (philosophy) #Code (set theory) #Computer Vision and Pattern Recognition (cs.CV) #Computer science #Constraint (computer-aided design) #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #Mathematics #Overfitting #Pattern recognition (psychology) #Quantization (signal processing) #Synthetic data #Unification #Zero (linguistics) #cs.CV
11. Alzheimer's Disease Detection from Spontaneous Speech through Combining Linguistic Complexity and (Dis)Fluency Features with Pretrained Language Models
    2021/06/16 by Yu Qiao, Xuefeng Yin, Qiao, Yu +5 · 8 citations
    Computer Science · Engineering · Medicine · Psychology · #Artificial intelligence #Audio and Speech Processing (eess.AS) #Component (thermodynamics) #Computation and Language (cs.CL) #Computer science #Dementia #Disease #FOS: Computer and information sciences #FOS: Electrical engineering #Fluency #Language model #Machine Learning in Healthcare #Medicine #Natural Language Processing Techniques #Natural language processing #Overfitting #Psychology #Set (abstract data type) #Sound (cs.SD) #Speech recognition #Task (project management) #Topic Modeling #cs.CL #cs.SD #eess.AS #electronic engineering #information engineering
12. Machine Learning for Variance Reduction in Online Experiments
    2021/06/14 by Yongyi Guo, Guo, Yongyi, Dominic Coey +9 · 9 citations
    Computer Science · Mathematics · #Advanced Causal Inference Techniques #Artificial intelligence #Computer science #Consistency (knowledge bases) #Covariate #Econometrics #Estimator #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Mathematics #Minimum-variance unbiased estimator #Monte Carlo method #Multivariate statistics #Outcome (game theory) #Overfitting #Statistical Methods and Inference #Statistical Methods in Clinical Trials #Statistics #Univariate #Variance (accounting) #Variance reduction #cs.LG #stat.ML
13. Exploring Memorization in Adversarial Training
    2021/06/03 by Yinpeng Dong, Dong, Yinpeng, Ke Xu +11 · 15 citations
    Computer Science · Mathematics · Physics and Astronomy · #Adversarial Robustness in Machine Learning #Adversarial system #Artificial intelligence #Artificial neural network #Computer science #Convergence (economics) #Generalization #Machine Learning and Data Classification #Machine learning #Mathematics #Memorization #Model Reduction and Neural Networks #Overfitting #Random forest #Set (abstract data type) #cs.CV #cs.LG #stat.ML
14. Deep Metric Learning for Few-Shot Image Classification: A Review of Recent Developments
    2021/05/17 by Xiaoxu Li, Xiaochen Yang, Li, Xiaoxu +6 · 7 citations
    Computer Science · Engineering · Medicine · #Artificial intelligence #Artificial neural network #COVID-19 diagnosis using AI #Categorization #Class (philosophy) #Computer Vision and Pattern Recognition (cs.CV) #Computer science #Contextual image classification #Deep learning #Domain Adaptation and Few-Shot Learning #Embedding #FOS: Computer and information sciences #Feature (linguistics) #Feature vector #Image (mathematics) #Image Processing Techniques and Applications #Machine Learning (cs.LG) #Machine learning #Metric (unit) #Overfitting #Pattern recognition (psychology) #cs.CV #cs.LG
15. The MAGICAL Benchmark for Robust Imitation
    2020/11/01 by Sam Toyer, Rohin Shah, Toyer, Sam +5 · 7 citations
    Computer Science · Psychology · #Anomaly Detection Techniques and Applications #Artificial Intelligence (cs.AI) #Artificial intelligence #Benchmark (surveying) #Code (set theory) #Computer science #Context (archaeology) #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #Imitation #Machine Learning (cs.LG) #Machine Learning and Algorithms #Machine learning #Overfitting #Perception #Psychology #Robustness (evolution) #Software deployment #Software engineering #Suite #cs.AI #cs.LG
16. Puzzle Mix: Exploiting Saliency and Local Statistics for Optimal Mixup
    2020/09/15 by Jang-Hyun Kim, Wonho Choo, Kim, Jang-Hyun +3 · 72 citations
    Computer Science · Mathematics · #Advanced Neural Network Applications #Adversarial Robustness in Machine Learning #Anomaly Detection Techniques and Applications #Artificial intelligence #Artificial neural network #Code (set theory) #Computer science #Deep neural networks #Focus (optics) #Generalization #Machine learning #Mathematics #Overfitting #Pattern recognition (psychology) #Robustness (evolution) #Source code #cs.AI #cs.CV #cs.LG #stat.ML
17. Fixing the train-test resolution discrepancy: FixEfficientNet
    2020/03/18 by Hugo Touvron, Andrea Vedaldi, Touvron, Hugo +6 · 67 citations
    Computer Science · Engineering · #Advanced Neural Network Applications #Algorithm #Artificial intelligence #Artificial neural network #Computer Vision and Pattern Recognition (cs.CV) #Computer science #FOS: Computer and information sciences #Geology #Image (mathematics) #Image Processing Techniques and Applications #Image and Object Detection Techniques #Machine Learning (cs.LG) #Machine learning #Overfitting #Pattern recognition (psychology) #State (computer science) #Test (biology) #cs.CV #cs.LG
18. LeafGAN: An Effective Data Augmentation Method for Practical Plant Disease Diagnosis
    2020/02/24 by Quan Huu Cap, Hiroyuki Uga, Cap, Quan Huu +5 · 9 citations
    Agricultural and Biological Sciences · Computer Science · #Artificial intelligence #Artificial neural network #Class (philosophy) #Code (set theory) #Computer Vision and Pattern Recognition (cs.CV) #Computer science #Deep learning #FOS: Computer and information sciences #Generalization #Image (mathematics) #Machine learning #Mechanism (biology) #Overfitting #Pattern recognition (psychology) #Plant Disease Management Techniques #Plant Pathogenic Bacteria Studies #Smart Agriculture and AI #Transformation (genetics) #Variety (cybernetics) #cs.CV
19. An empirical study on evaluation metrics of generative adversarial networks
    2018/06/19 by Qiantong Xu, Xu, Qiantong, Gao Huang +12 · 224 citations
    Computer Science · Mathematics · #Advanced Image Processing Techniques #Artificial intelligence #Artificial neural network #Computer Vision and Pattern Recognition (cs.CV) #Computer science #Data mining #Digital Media Forensic Detection #FOS: Computer and information sciences #Feature (linguistics) #Feature vector #Generative Adversarial Networks and Image Synthesis #Generative grammar #Kernel (algebra) #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Machine learning #Mathematics #Mode (computer interface) #Overfitting #Pattern recognition (psychology) #Sample (material) #cs.CV #cs.LG #stat.ML
20. L2 Regularization versus Batch and Weight Normalization
    2017/06/16 by Twan van Laarhoven, van Laarhoven, Twan · 211 citations
    Computer Science · Mathematics · #Advanced Neural Network Applications #Artificial intelligence #Artificial neural network #Computer science #Deep neural networks #Inverse problem #Machine Learning and Algorithms #Machine learning #Mathematical analysis #Mathematics #Normalization (sociology) #Overfitting #Regularization (linguistics) #Regularization perspectives on support vector machines #Stochastic Gradient Optimization Techniques #Tikhonov regularization #cs.LG #stat.ML
21. Generative Adversarial Trainer: Defense to Adversarial Perturbations\n with GAN
    2017/05/09 by Lee, Hyeungill, Han, Sungyeob, Lee, Jungwoo · 68 citations
    Computer Science · #Advanced Neural Network Applications #Adversarial Robustness in Machine Learning #Adversarial system #Anomaly Detection Techniques and Applications #Artificial intelligence #Artificial neural network #Classifier (UML) #Computer science #Deep learning #FOS: Computer and information sciences #Generative Adversarial Networks and Image Synthesis #Generative adversarial network #Generative grammar #Generator (circuit theory) #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Machine learning #Overfitting #Pattern recognition (psychology)
22. Protein Secondary Structure Prediction Using Deep Multi-scale Convolutional Neural Networks and Next-Step Conditioning
    2016/11/04 by Akosua Busia, Busia, Akosua, Jasmine Collins +3 · 18 citations
    Biochemistry, Genetics and Molecular Biology · Computer Science · #Artificial intelligence #Artificial neural network #Benchmark (surveying) #Biomolecules (q-bio.BM) #Computer science #Convolutional neural network #Deep learning #FOS: Biological sciences #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning in Bioinformatics #Machine learning #Normalization (sociology) #Overfitting #Pattern recognition (psychology) #Protein Structure and Dynamics #Protein secondary structure #RNA and protein synthesis mechanisms #Recurrent neural network #Transfer of learning #cs.LG #q-bio.BM
23. Comparative analysis on the selection of number of clusters in community detection
    2016/06/30 by Tatsuro Kawamoto, Yoshiyuki Kabashima · 15 citations
    Computer Science · Mathematics · Physics and Astronomy · #Algorithm #Artificial intelligence #COVID-19 epidemiological studies #Cluster analysis #Complex Network Analysis Techniques #Computer science #Data mining #Focus (optics) #Inference #Machine learning #Mathematics #Model selection #Modularity (biology) #Opinion Dynamics and Social Influence #Overfitting #Selection (genetic algorithm) #Statistical inference #Statistics #Stochastic block model #cs.SI #physics.soc-ph
24. Training Recurrent Answering Units with Joint Loss Minimization for VQA
    2016/06/12 by Hyeonwoo Noh, Noh, Hyeonwoo, Bohyung Han +1 · 69 citations
    Computer Science · #Advanced Image and Video Retrieval Techniques #Artificial intelligence #Artificial neural network #Backpropagation #Computer science #Deep learning #Domain Adaptation and Few-Shot Learning #Feature (linguistics) #Machine learning #Minification #Multimodal Machine Learning Applications #Overfitting #Question answering #Recurrent neural network #cs.CV
25. How Transferable are Neural Networks in NLP Applications?
    2016/03/19 by Lili Mou, Mou, Lili, Meng Zhao +12 · 86 citations
    Computer Science · #Artificial intelligence #Artificial neural network #Computation and Language (cs.CL) #Computer science #Deep learning #Deep neural networks #Domain (mathematical analysis) #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine learning #Multimodal Machine Learning Applications #Natural language processing #Neural and Evolutionary Computing (cs.NE) #Overfitting #Topic Modeling #Transfer of learning #Transferability #cs.CL #cs.LG #cs.NE
26. A Theoretically Grounded Application of Dropout in Recurrent Neural Networks
    2015/12/16 by Yarin Gal, Zoubin Ghahramani, Gal, Yarin +1 · 793 citations
    Computer Science · Mathematics · #Artificial intelligence #Artificial neural network #Bayesian inference #Bayesian probability #Computer science #Deep learning #Domain Adaptation and Few-Shot Learning #Dropout (neural networks) #FOS: Computer and information sciences #Inference #Language model #Machine Learning (stat.ML) #Machine Learning and Algorithms #Machine learning #Overfitting #Perplexity #Recurrent neural network #Topic Modeling #stat.ML
27. Precision comparison of the power spectrum in the EFTofLSS with simulations
    2015/07/31 by Simon Foreman, H. Perrier, Hideki Perrier +1 · 100 citations
    Physics and Astronomy · #Astronomy and Astrophysical Research #Cosmological perturbation theory #Cosmology #Cosmology and Gravitation Theories #Dark energy #Effective field theory #Galaxies: Formation, Evolution, Phenomena #Galaxy #Inflation (cosmology) #Matter power spectrum #Overfitting #Parametrization (atmospheric modeling) #Perturbation (astronomy) #Perturbation theory (quantum mechanics) #Physics #Quadratic equation #Quantum mechanics #Redshift #Regularization (linguistics) #Spectral density #Statistical physics #Statistics #Tensor (intrinsic definition) #Theoretical physics #astro-ph.CO #gr-qc #hep-ph #hep-th
28. TurkerGaze: Crowdsourcing Saliency with Webcam based Eye Tracking
    2015/04/25 by Pingmei Xu, Krista A. Ehinger, Krista A Ehinger +10 · 262 citations
    Computer Science · Medicine · #Artificial intelligence #Artificial neural network #Benchmark (surveying) #Computer Vision and Pattern Recognition (cs.CV) #Computer science #Computer vision #Crowdsourcing #Eye tracking #FOS: Computer and information sciences #Gaze #Gaze Tracking and Assistive Technology #Machine learning #Overfitting #Retinal Imaging and Analysis #Tracking (education) #Upload #Visual Attention and Saliency Detection #World Wide Web #cs.CV
29. Delving Deep into Rectifiers: Surpassing Human-Level Performance on ImageNet Classification
    2015/02/06 by Kaiming He, Xiangyu Zhang, He, Kaiming +5 · 3 voices · 1,023 citations
    Computer Science · Mathematics · #Advanced Neural Network Applications #Artificial intelligence #Artificial neural network #Bundle #Computer science #Contextual image classification #Convolutional neural network #Deep neural networks #Domain Adaptation and Few-Shot Learning #Image (mathematics) #Initialization #Machine learning #Mathematics #Overfitting #Parametric statistics #Pattern recognition (psychology) #Rectifier (neural networks) #Recurrent neural network #Scratch #Visual Attention and Saliency Detection #cs.AI #cs.CV #cs.LG
30. A Bayesian encourages dropout
    2014/12/22 by Shin-ichi Maeda, Shin‐ichi Maeda, Maeda, Shin-ichi · 35 citations
    Computer Science · Mathematics · #Artificial intelligence #Artificial neural network #Bayesian probability #Computer science #Dropout (neural networks) #FOS: Computer and information sciences #Gaussian Processes and Bayesian Inference #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Machine Learning and Data Classification #Machine learning #Neural Networks and Applications #Neural and Evolutionary Computing (cs.NE) #Overfitting #Regularization (linguistics) #cs.LG #cs.NE #stat.ML

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