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cs.CV2025
BLADE: Bias-Linked Adaptive DEbiasing
Piyush Arora, Navlika Singh, Vasubhya Diwan +1
Neural networks have revolutionized numerous fields, yet they remain vulnerable to a critical flaw: the tendency to learn implicit biases, spurious correlations between certain att…
cs.CV2025
When Big Models Train Small Ones: Label-Free Model Parity Alignment for Efficient Visual Question Answering using Small VLMs
Abhirama Subramanyam Penamakuri, Navlika Singh, Piyush Arora +1
Large Vision-Language Models (L-VLMs) have demonstrated remarkable performance in various vision and language tasks, including visual question answering (VQA). However, their high…
cs.CV2023
Hybrid Sample Synthesis-based Debiasing of Classifier in Limited Data Setting
Piyush Arora, Pratik Mazumder
Deep learning models are known to suffer from the problem of bias, and researchers have been exploring methods to address this issue. However, most of these methods require prior k…