Adarsh Kappiyath
@adarshk22.bsky.social
PhD Student at University of Surrey | Robustness in Machine learning models, Out of Distribution Generalisation | https://kadarsh22.github.io/
Learn more:
📄 Paper: arxiv.org/abs/2501.18277
💻 GitHub: github.com/kadarsh22/sebra
🌐 Project: kadarsh22.github.io/sebra_iclr25
#ICLR2025 #AI #BiasMitigation #MachineLearning
📄 Paper: arxiv.org/abs/2501.18277
💻 GitHub: github.com/kadarsh22/sebra
🌐 Project: kadarsh22.github.io/sebra_iclr25
#ICLR2025 #AI #BiasMitigation #MachineLearning
January 31, 2025 at 4:08 PM
Learn more:
📄 Paper: arxiv.org/abs/2501.18277
💻 GitHub: github.com/kadarsh22/sebra
🌐 Project: kadarsh22.github.io/sebra_iclr25
#ICLR2025 #AI #BiasMitigation #MachineLearning
📄 Paper: arxiv.org/abs/2501.18277
💻 GitHub: github.com/kadarsh22/sebra
🌐 Project: kadarsh22.github.io/sebra_iclr25
#ICLR2025 #AI #BiasMitigation #MachineLearning
✨ Highlights:
🔍 Unsupervised Multi-Bias Mitigation – discover & mitigate multiple biases without bias annotations.
🕵️ Discovering Hidden Biases – Reveals unknown biases & labeling errors.
📊 Scalable Performance – Effectiveness on large datasets like ImageNet-1K, moving beyond simple benchmarks.
🔍 Unsupervised Multi-Bias Mitigation – discover & mitigate multiple biases without bias annotations.
🕵️ Discovering Hidden Biases – Reveals unknown biases & labeling errors.
📊 Scalable Performance – Effectiveness on large datasets like ImageNet-1K, moving beyond simple benchmarks.
January 31, 2025 at 4:08 PM
✨ Highlights:
🔍 Unsupervised Multi-Bias Mitigation – discover & mitigate multiple biases without bias annotations.
🕵️ Discovering Hidden Biases – Reveals unknown biases & labeling errors.
📊 Scalable Performance – Effectiveness on large datasets like ImageNet-1K, moving beyond simple benchmarks.
🔍 Unsupervised Multi-Bias Mitigation – discover & mitigate multiple biases without bias annotations.
🕵️ Discovering Hidden Biases – Reveals unknown biases & labeling errors.
📊 Scalable Performance – Effectiveness on large datasets like ImageNet-1K, moving beyond simple benchmarks.
Reposted by Adarsh Kappiyath
(1) DeNetDM: Debiasing by Network Depth Modulation
🗓️ Thu, Dec 12 | 🕚 11 a.m. – 2 p.m. PST | 📍 East Exhibit Hall A-C #4309
Authors : Silpa Vadakkeeveetil Sreelatha *, Adarsh Kappiyath*, Abhra Chaudhuri, Anjan Dutta — * equal contribution
(2/5)
🗓️ Thu, Dec 12 | 🕚 11 a.m. – 2 p.m. PST | 📍 East Exhibit Hall A-C #4309
Authors : Silpa Vadakkeeveetil Sreelatha *, Adarsh Kappiyath*, Abhra Chaudhuri, Anjan Dutta — * equal contribution
(2/5)
December 11, 2024 at 5:38 AM
(1) DeNetDM: Debiasing by Network Depth Modulation
🗓️ Thu, Dec 12 | 🕚 11 a.m. – 2 p.m. PST | 📍 East Exhibit Hall A-C #4309
Authors : Silpa Vadakkeeveetil Sreelatha *, Adarsh Kappiyath*, Abhra Chaudhuri, Anjan Dutta — * equal contribution
(2/5)
🗓️ Thu, Dec 12 | 🕚 11 a.m. – 2 p.m. PST | 📍 East Exhibit Hall A-C #4309
Authors : Silpa Vadakkeeveetil Sreelatha *, Adarsh Kappiyath*, Abhra Chaudhuri, Anjan Dutta — * equal contribution
(2/5)