16 results on '"Vikas, Verma"'
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2. CNT (Conditioning on Noisy Targets): A new Algorithm for Leveraging Top-Down Feedback.
3. MixupE: Understanding and Improving Mixup from Directional Derivative Perspective.
4. PatchUp: A Regularization Technique for Convolutional Neural Networks.
5. Towards Domain-Agnostic Contrastive Learning.
6. Interpolation-based semi-supervised learning for object detection.
7. Interpolation Consistency Training for Semi-Supervised Learning.
8. Adversarial Mixup Resynthesizers.
9. GraphMix: Regularized Training of Graph Neural Networks for Semi-Supervised Learning.
10. Towards Understanding Generalization in Gradient-Based Meta-Learning.
11. SketchTransfer: A Challenging New Task for Exploring Detail-Invariance and the Abstractions Learned by Deep Networks.
12. Interpolated Adversarial Training: Achieving Robust Neural Networks without Sacrificing Accuracy.
13. Modularity Matters: Learning Invariant Relational Reasoning Tasks.
14. Manifold Mixup: Encouraging Meaningful On-Manifold Interpolation as a Regularizer.
15. Residual Connections Encourage Iterative Inference.
16. Image Retrieval And Classification Using Local Feature Vectors.
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