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Your search keyword '"Venkatesh, Svetha"' showing total 130 results

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130 results on '"Venkatesh, Svetha"'

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1. Real-Time Skill Discovery in Intelligent Virtual Assistants

3. Targeted Universal Adversarial Perturbations for Automatic Speech Recognition

4. Fast Conditional Network Compression Using Bayesian HyperNetworks

5. Knowledge Distillation with Distribution Mismatch

6. Variational Hyper-encoding Networks

7. Sparse Spectrum Gaussian Process for Bayesian Optimization

8. Bayesian Optimization with Missing Inputs

9. Scalable Backdoor Detection in Neural Networks

11. MrPC: Causal Structure Learning in Distributed Systems

12. Level Set Estimation with Search Space Warping

13. Detection of Compromised Models Using Bayesian Optimization

14. Bayesian Optimisation for Objective Functions with Varying Smoothness

15. Bayesian Optimization with Discrete Variables

16. Information-Theoretic Multi-task Learning Framework for Bayesian Optimisation

17. Explaining Black-Box Models Using Interpretable Surrogates

18. Information-Theoretic Transfer Learning Framework for Bayesian Optimisation

19. Exploration Enhanced Expected Improvement for Bayesian Optimization

20. Sqn2Vec: Learning Sequence Representation via Sequential Patterns with a Gap Constraint

21. Knowledge Distillation with Distribution Mismatch

27. Efficient Bayesian Optimisation Using Derivative Meta-model

28. Selecting Optimal Source for Transfer Learning in Bayesian Optimisation

29. A Privacy Preserving Bayesian Optimization with High Efficiency

30. Trans2Vec: Learning Transaction Embedding via Items and Frequent Itemsets

31. Dual Control Memory Augmented Neural Networks for Treatment Recommendations

32. Prescriptive Analytics Through Constrained Bayesian Optimization

33. Sparse Approximation for Gaussian Process with Derivative Observations

34. Jointly Predicting Affective and Mental Health Scores Using Deep Neural Networks of Visual Cues on the Web

36. Data Mining of Intervention for Children with Autism Spectrum Disorder

37. Estimating Support Scores of Autism Communities in Large-Scale Web Information Systems

38. Stable Bayesian Optimization

39. Energy-Based Localized Anomaly Detection in Video Surveillance

41. Learning Multi-faceted Activities from Heterogeneous Data with the Product Space Hierarchical Dirichlet Processes

42. Neural Choice by Elimination via Highway Networks

43. Differentially Private Multi-task Learning

44. Flexible Transfer Learning Framework for Bayesian Optimisation

45. Toxicity Prediction in Cancer Using Multiple Instance Learning in a Multi-task Framework

46. Privacy Aware K-Means Clustering with High Utility

47. DeepCare: A Deep Dynamic Memory Model for Predictive Medicine

48. Exceptional Contrast Set Mining: Moving Beyond the Deluge of the Obvious

49. Cascade Bayesian Optimization

50. Stabilizing Linear Prediction Models Using Autoencoder

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