Vineeth N Balasubramanian

18

Papers

1

Total Citations

Papers (18)

NESTER: An Adaptive Neurosymbolic Method for Causal Effect Estimation

Towards Learning and Explaining Indirect Causal Effects in Neural Networks

Towards Open World Object Detection

A Framework for Learning Ante-Hoc Explainable Models via Concepts

Proto2Proto: Can You Recognize the Car, the Way I Do?

Unseen Classes at a Later Time? No Problem

Energy-Based Latent Aligner for Incremental Learning

Data-Free Class-Incremental Hand Gesture Recognition

Building a Winning Team: Selecting Source Model Ensembles using a Submodular Transferability Estimation Approach

Attributional Robustness Training using Input-Gradient Spatial Alignment

Distilling the Undistillable: Learning from a Nasty Teacher

Novel Class Discovery without Forgetting

Class-Incremental Learning with Cross-Space Clustering and Controlled Transfer

Meta-Consolidation for Continual Learning

NeurIPS 2020arXiv

Adversarial Robustness without Adversarial Training: A Teacher-Guided Curriculum Learning Approach

Can we have it all? On the Trade-off between Spatial and Adversarial Robustness of Neural Networks

NeurIPS 2021arXiv

MADG: Margin-based Adversarial Learning for Domain Generalization

NeurIPS 2023arXiv

Mitigating the Effect of Incidental Correlations on Part-based Learning

NeurIPS 2023arXiv