Andreas Veit
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Rethinking FID: Towards a Better Evaluation Metric for Image Generation
Sadeep Jayasumana
IEEE Conference on Computer Vision and Pattern Recognition (CVPR) (2024)
MarkovGen: Structured Prediction for Efficient Text-to-Image Generation
Sadeep Jayasumana
IEEE Conference on Computer Vision and Pattern Recognition (CVPR) (2024)
Teacher Guided Training: An Efficient Framework for Knowledge Transfer
Manzil Zaheer
Seungyeon Kim
Chong You
Himanshu Jain
Rob Fergus
International Conference on Learning Representations (ICLR) (2023)
Coping with label shift via distributionally robust optimisation
Jingzhao Zhang
Aditya Krishna Menon
Suvrit Sra
International Conference on Learning Representations (2021)
Understanding Robustness of Transformers for Image Classification
Daliang Li
Thomas Unterthiner
Proceedings of the IEEE/CVF International Conference on Computer Vision (2021) (to appear)
RankDistil: Distillation for Ranking
Aditya Krishna Menon
Seungyeon Kim
AISTATS 2021 (2021)
Long-tail learning via logit adjustment
Aditya Krishna Menon
Himanshu Jain
Sadeep Jayasumana
International Conference on Learning Representations (ICLR) 2021
Why are Adaptive Methods Good for Attention Models?
Jingzhao Zhang
Sai Praneeth Karimireddy
Seungyeon Kim
Suvrit Sra
Advances in Neural Information Processing Systems (NeurIPS) (2020)
Learning From Noisy Large-Scale Datasets With Minimal Supervision
Neil Alldrin
Gal Chechik
Ivan Krasin
Abhinav Gupta
Serge Belongie
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (2017), pp. 839-847
