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cs.CL2021
Multilingual and Multilabel Emotion Recognition using Virtual Adversarial Training
Vikram Gupta
Virtual Adversarial Training (VAT) has been effective in learning robust models under supervised and semi-supervised settings for both computer vision and NLP tasks. However, the e…
cs.CV2021★ 5 cited
MeGA-CDA: Memory Guided Attention for Category-Aware Unsupervised Domain Adaptive Object Detection
Vibashan VS, Vikram Gupta, Poojan Oza +2
Existing approaches for unsupervised domain adaptive object detection perform feature alignment via adversarial training. While these methods achieve reasonable improvements in per…