37 results on '"Vikas, Verma"'
Search Results
2. PatchUp: A Feature-Space Block-Level Regularization Technique for Convolutional Neural Networks.
3. Analyzing and Classifying Malware Types on Windows Platform using an Ensemble Machine Learning Approach.
4. Critical Analysis of Existing Punjabi Grammar Checker and a Proposed Hybrid Framework Involving Machine Learning and Rule-Base Criteria.
5. Interpolation consistency training for semi-supervised learning.
6. Interpolated Adversarial Training: Achieving robust neural networks without sacrificing too much accuracy.
7. Leveraging Out-of-Domain Data for Domain-Specific Prompt Tuning in Multi-Modal Fake News Detection.
8. Interpolation-Based Semi-Supervised Learning for Object Detection.
9. Towards Domain-Agnostic Contrastive Learning.
10. GraphMix: Improved Training of GNNs for Semi-Supervised Learning.
11. SketchTransfer: A Challenging New Task for Exploring Detail-Invariance and the Abstractions Learned by Deep Networks.
12. CNT (Conditioning on Noisy Targets): A new Algorithm for Leveraging Top-Down Feedback.
13. MixupE: Understanding and Improving Mixup from Directional Derivative Perspective.
14. On Adversarial Mixup Resynthesis.
15. Interpolation Consistency Training for Semi-supervised Learning.
16. Interpolated Adversarial Training: Achieving Robust Neural Networks Without Sacrificing Too Much Accuracy.
17. Manifold Mixup: Better Representations by Interpolating Hidden States.
18. InfoGraph: Unsupervised and Semi-supervised Graph-Level Representation Learning via Mutual Information Maximization.
19. Adversarial Mixup Resynthesizers.
20. PatchUp: A Regularization Technique for Convolutional Neural Networks.
21. Towards Domain-Agnostic Contrastive Learning.
22. Interpolation-based semi-supervised learning for object detection.
23. Residual Connections Encourage Iterative Inference.
24. Interpolation Consistency Training for Semi-Supervised Learning.
25. Adversarial Mixup Resynthesizers.
26. GraphMix: Regularized Training of Graph Neural Networks for Semi-Supervised Learning.
27. Towards Understanding Generalization in Gradient-Based Meta-Learning.
28. SketchTransfer: A Challenging New Task for Exploring Detail-Invariance and the Abstractions Learned by Deep Networks.
29. Interpolated Adversarial Training: Achieving Robust Neural Networks without Sacrificing Accuracy.
30. Modularity Matters: Learning Invariant Relational Reasoning Tasks.
31. Manifold Mixup: Encouraging Meaningful On-Manifold Interpolation as a Regularizer.
32. Hand Gesture Reconstruction and Animation.
33. QoS Based Pricing for Web Services.
34. Residual Connections Encourage Iterative Inference.
35. A Meaningful Measure of Response Time for SLA.
36. A Fair Basis For Charge Back.
37. Image Retrieval And Classification Using Local Feature Vectors.
Catalog
Books, media, physical & digital resources
Discovery Service for Jio Institute Digital Library
For full access to our library's resources, please sign in.