Svetha Venkatesh

1. Memorizing Normality to Detect Anomaly: Memory-augmented Deep Autoencoder for Unsupervised Anomaly Detection
   2019/04/04 by Dong Gong, Gong, Dong, Lingqiao Liu +11 · 42 citations
   Computer Science · Medicine · #Anomaly Detection Techniques and Applications #Computer Vision and Pattern Recognition (cs.CV) #Data-Driven Disease Surveillance #FOS: Computer and information sciences #Network Security and Intrusion Detection
2. Learn to Unlearn for Deep Neural Networks: Minimizing Unlearning Interference with Gradient Projection
   2023/12/07 by Tuan Hoang, Hoang, Tuan, Santu Rana +5 · 9 citations
   Computer Science · #Privacy-Preserving Technologies in Data #Stochastic Gradient Optimization Techniques #Advanced Neural Network Applications
3. Fast cross-validation algorithms for least squares support vector machine and kernel ridge regression
   2007/01/06 by Senjian An, Wanquan Liu, Svetha Venkatesh · 3 citations
   Computer Science · Engineering · Chemistry · #Face and Expression Recognition #Sparse and Compressive Sensing Techniques #Spectroscopy and Chemometric Analyses
4. Dual Memory Neural Computer for Asynchronous Two-view Sequential Learning
   2018/02/02 by Hung Lê, Truyen Tran, Le, Hung +3 · 3 citations
   Computer Science · #Anomaly Detection Techniques and Applications #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Machine Learning in Healthcare
5. Bayesian Optimization for Categorical and Category-Specific Continuous Inputs
   2019/11/28 by Dang Nguyen, Nguyen, Dang, Sunil Gupta +7 · 3 citations
   Computer Science · Decision Sciences · #Advanced Bandit Algorithms Research #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Machine Learning and Algorithms #Machine Learning and Data Classification
6. Multi-Reference Preference Optimization for Large Language Models
   2024/05/26 by Hung Le, Quan Le Tran, Le, Hung +11 · 3 citations
   Computer Science · #Computation and Language (cs.CL) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Natural Language Processing Techniques
7. On Instance-Dependent Bounds for Offline Reinforcement Learning with Linear Function Approximation
   2022/11/23 by Thanh Nguyen-Tang, Ming Yin, Nguyen-Tang, Thanh +7 · 2 citations
   Computer Science · Decision Sciences · #Advanced Bandit Algorithms Research #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning and Data Classification #Reinforcement Learning in Robotics
8. Deep Learning to Attend to Risk in ICU
   2017/07/17 by Phuoc Nguyen, Nguyen, Phuoc, Truyen Tran +3 · 1 citation
   Computer Science · Medicine · #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Machine Learning in Healthcare #Sepsis Diagnosis and Treatment #Time Series Analysis and Forecasting
9. Knowledge Graph Embedding with Multiple Relation Projections
   2018/01/26 by Do, Kien, Truyen Tran, Svetha Venkatesh +2 · 1 citation
   Computer Science · Decision Sciences · #Advanced Graph Neural Networks #Artificial Intelligence (cs.AI) #Data Quality and Management #FOS: Computer and information sciences #Topic Modeling
10. Fast Hyperparameter Tuning using Bayesian Optimization with Directional\n Derivatives
    2019/02/06 by Tinu Theckel Joy, Joy, Tinu Theckel, Santu Rana +5 · 1 citation
    Computer Science · #Advanced Multi-Objective Optimization Algorithms #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Machine Learning and Algorithms #Machine Learning and Data Classification
11. Graph Transformation Policy Network for Chemical Reaction Prediction
    2018/12/22 by Truyen Tran, Do, Kien, Tran, Truyen +2 · 1 citation
    Computer Science · Materials Science · #Advanced Graph Neural Networks #FOS: Computer and information sciences #Machine Learning in Materials Science #Neural and Evolutionary Computing (cs.NE) #Topic Modeling
12. Cost-aware Multi-objective Bayesian optimisation
    2019/09/09 by Majid Abdolshah, Alistair Shilton, Abdolshah, Majid +7 · 1 citation
    Computer Science · #Advanced Multi-Objective Optimization Algorithms #FOS: Computer and information sciences #FOS: Mathematics #Gaussian Processes and Bayesian Inference #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Machine Learning and Data Classification #Optimization and Control (math.OC)
13. Variational Hyper-Encoding Networks
    2020/05/18 by Phuoc Nguyen, Nguyen, Phuoc, Truyen Tran +9 · 1 citation
    Computer Science · #Anomaly Detection Techniques and Applications #FOS: Computer and information sciences #Gaussian Processes and Bayesian Inference #Generative Adversarial Networks and Image Synthesis #Machine Learning (cs.LG) #Machine Learning (stat.ML)
14. Sequential Subspace Search for Functional Bayesian Optimization\n Incorporating Experimenter Intuition
    2020/09/08 by Alistair Shilton, Shilton, Alistair, Sunil Gupta +5 · 1 citation
    Computer Science · #Advanced Multi-Objective Optimization Algorithms #FOS: Computer and information sciences #Gaussian Processes and Bayesian Inference #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Machine Learning and Algorithms #Machine Learning and Data Classification
15. Hierarchical Conditional Relation Networks for Multimodal Video Question\n Answering
    2020/10/17 by Thao Minh Le, Le, Thao Minh, Vuong Le +5 · 1 citation
    Computer Science · #Multimodal Machine Learning Applications #Advanced Image and Video Retrieval Techniques #Domain Adaptation and Few-Shot Learning
16. Semi-Supervised Learning with Variational Bayesian Inference and Maximum Uncertainty Regularization
    2020/12/03 by Truyen Tran, Do, Kien, Tran, Truyen +2 · 1 citation
    Computer Science · Engineering · #Artificial Intelligence (cs.AI) #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #Fault Detection and Control Systems #Machine Learning (cs.LG) #Machine Learning and Data Classification
17. Efficient Symmetry-Aware Materials Generation via Hierarchical Generative Flow Networks
    2024/11/06 by Tri Nguyen, Sherif Abdulkader Tawfik, Nguyen, Tri Minh +9 · 2 citations
    Engineering · #Modular Robots and Swarm Intelligence
18. Thurstonian Boltzmann Machines: Learning from Multiple Inequalities
    2014/08/01 by Truyen Tran, Dinh Phung, Tran, Truyen +3 · 1 citation
    Computer Science · #Generative Adversarial Networks and Image Synthesis #Music and Audio Processing #Domain Adaptation and Few-Shot Learning
19. Stable Hadamard Memory: Revitalizing Memory-Augmented Agents for Reinforcement Learning
    2024/10/14 by Lê Thái Hùng, Le, Hung, Dung Nguyen +6 · 1 citation
    Computer Science · #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Reinforcement Learning in Robotics
20. Generating Realistic Tabular Data with Large Language Models
    2024/10/29 by Dang Nguyen, Nguyen, Dang, Sunil Gupta +6 · 2 citations
    Computer Science · #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Natural Language Processing Techniques #Text and Document Classification Technologies #Topic Modeling
21. Hierarchical Semi-Markov Conditional Random Fields for Recursive\n Sequential Data
    2010/09/10 by Tran The Truyen, Truyen, Tran The, Dinh Phung +5 · 1 citation
    Computer Science · #Anomaly Detection Techniques and Applications #Video Surveillance and Tracking Methods #Target Tracking and Data Fusion in Sensor Networks