Learn more:
๐ Paper: arxiv.org/abs/2501.18277
๐ป GitHub: github.com/kadarsh22/sebra
๐ Project: kadarsh22.github.io/sebra_iclr25
#ICLR2025 #AI #BiasMitigation #MachineLearning
Learn more:
๐ Paper: arxiv.org/abs/2501.18277
๐ป GitHub: github.com/kadarsh22/sebra
๐ Project: kadarsh22.github.io/sebra_iclr25
#ICLR2025 #AI #BiasMitigation #MachineLearning
โจ Highlights:
๐ Unsupervised Multi-Bias Mitigation โ discover & mitigate multiple biases without bias annotations.
๐ต๏ธ Discovering Hidden Biases โ Reveals unknown biases & labeling errors.
๐ Scalable Performance โ Effectiveness on large datasets like ImageNet-1K, moving beyond simple benchmarks.
๐ Iโm thrilled to share that our paper, "Sebra: DeBiasing through Self-Guided Bias Ranking," has been accepted to ICLR 2025! ๐
(1) DeNetDM: Debiasing by Network Depth Modulation
๐๏ธ Thu, Dec 12 | ๐ 11 a.m. โ 2 p.m. PST | ๐ East Exhibit Hall A-C #4309
Authors : Silpa Vadakkeeveetil Sreelatha *, Adarsh Kappiyath*, Abhra Chaudhuri, Anjan Dutta โ * equal contribution
(2/5)