124 results on '"Brian Kulis"'
Search Results
2. Maximum-Entropy Adversarial Audio Augmentation for Keyword Spotting.
3. Runtime Performance Anomaly Diagnosis in Production HPC Systems Using Active Learning.
4. Prodigy: Towards Unsupervised Anomaly Detection in Production HPC Systems.
5. Supervised Metric Learning to Rank for Retrieval via Contextual Similarity Optimization.
6. The NeurIPS 2023 Machine Learning for Audio Workshop: Affective Audio Benchmarks and Novel Data.
7. Image-Caption Encoding for Improving Zero-Shot Generalization.
8. A Data Centric Approach for Unsupervised Domain Generalization via Retrieval from Web Scale Multimodal Data.
9. ALBADross: Active Learning Based Anomaly Diagnosis for Production HPC Systems.
10. Latency Control for Keyword Spotting.
11. Substitutional Neural Image Compression.
12. Faster Algorithms for Learning Convex Functions.
13. Descriptor and Word Soups: Overcoming the Parameter Efficiency Accuracy Tradeoff for Out-of-Distribution Few-shot Learning.
14. Convolutional Neural Network Denoising of Focused Ion Beam Micrographs.
15. Tiny-CRNN: Streaming Wakeword Detection in a Low Footprint Setting.
16. Real-time Localized Photorealistic Video Style Transfer.
17. An Audio-Based Wakeword-Independent Verification System.
18. Metadata-Aware End-to-End Keyword Spotting.
19. Building a Robust Word-Level Wakeword Verification Network.
20. Joint Bilateral Learning for Real-Time Universal Photorealistic Style Transfer.
21. Deep Divergence Learning.
22. Piecewise Linear Regression via a Difference of Convex Functions.
23. Supervised Metric Learning for Retrieval via Contextual Similarity Optimization.
24. Pick up the PACE: Fast and Simple Domain Adaptation via Ensemble Pseudo-Labeling.
25. Deep Metric Learning to Rank.
26. Protecting Neural Networks with Hierarchical Random Switching: Towards Better Robustness-Accuracy Trade-off for Stochastic Defenses.
27. Inferring Human Traits from Facebook Statuses.
28. Conditioning Deep Generative Raw Audio Models for Structured Automatic Music.
29. Learning to Approximate a Bregman Divergence.
30. Faster Convex Lipschitz Regression via 2-block ADMM.
31. Substitutional Neural Image Compression.
32. $β$-Annealed Variational Autoencoder for glitches.
33. Dynamic Clustering Algorithms via Small-Variance Analysis of Markov Chain Mixture Models.
34. Combinatorial Topic Models using Small-Variance Asymptotics.
35. Deep Divergence Learning.
36. Real-time Localized Photorealistic Video Style Transfer.
37. Robust Monte Carlo Sampling using Riemannian Nosé-Poincaré Hamiltonian Dynamics.
38. Stable Distribution Alignment Using the Dual of the Adversarial Distance.
39. Revisiting kernelized locality-sensitive hashing for improved large-scale image retrieval.
40. Learning Bregman Divergences.
41. Dynamic Clustering via Asymptotics of the Dependent Dirichlet Process Mixture.
42. Small-Variance Asymptotics for Hidden Markov Models.
43. MAD-Bayes: MAP-based Asymptotic Derivations from Bayes.
44. Small-Variance Asymptotics for Exponential Family Dirichlet Process Mixture Models.
45. Discovering Latent Domains for Multisource Domain Adaptation.
46. What you saw is not what you get: Domain adaptation using asymmetric kernel transforms.
47. Metric learning for reinforcement learning agents.
48. Inductive Regularized Learning of Kernel Functions.
49. Adapting Visual Category Models to New Domains.
50. Implicit Online Learning.
Catalog
Books, media, physical & digital resources
Discovery Service for Jio Institute Digital Library
For full access to our library's resources, please sign in.