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Vineeth N Balasubramanian

Topic trends: 32,543 papers · similarity ≥ 0.4 · year ≥ 2024 · Data sourced from Semantic Scholar

34,598 papers | Abstracts: 31,650 (91.5%) | Citations: 34,598 (100.0%) | arXiv: 26,074 (75.4%)

Built: Feb 15, 2026, 6:23 AM AMS

18

papers

991

total citations

papers (18)

Towards Open World Object Detection

MADG: Margin-based Adversarial Learning for Domain Generalization

NEURIPS 2023arXiv

A Framework for Learning Ante-Hoc Explainable Models via Concepts

Meta-Consolidation for Continual Learning

NEURIPS 2020arXiv

Energy-Based Latent Aligner for Incremental Learning

Novel Class Discovery without Forgetting

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

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

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

NEURIPS 2021arXiv

Unseen Classes at a Later Time? No Problem

Attributional Robustness Training using Input-Gradient Spatial Alignment

Distilling the Undistillable: Learning from a Nasty Teacher

Mitigating the Effect of Incidental Correlations on Part-based Learning

NEURIPS 2023arXiv

Towards Learning and Explaining Indirect Causal Effects in Neural Networks

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

NESTER: An Adaptive Neurosymbolic Method for Causal Effect Estimation

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

Data-Free Class-Incremental Hand Gesture Recognition