AIM 2020 Challenge on Learned Image Signal Processing Pipeline. - Andrey Ignatov; Radu Timofte; Zhilu Zhang 001; Ming Liu 018; Haolin Wang; Wangmeng Zuo; Jiawei Zhang 002; Ruimao Zhang; Zhanglin Peng; Sijie Ren; Linhui Dai; Xiaohong Liu 001; et al. (ECCV Workshops (3), 2020)

AIM 2020 Challenge on Learned Image Signal Processing Pipeline. - Andrey Ignatov; Radu Timofte; Zhilu Zhang 001; Ming Liu 018; Haolin Wang; Wangmeng Zuo; Jiawei Zhang 002; Ruimao Zhang; Zhanglin Peng; Sijie Ren; Linhui Dai; Xiaohong Liu 001; et al. (CoRR, 2020)

Memory-efficient NLLB-200: Language-specific Expert Pruning of a Massively Multilingual Machine Translation Model. - Yeskendir Koishekenov; Alexandre Berard; Vassilina Nikoulina (ACL (1), 2023)

Geometric Contrastive Learning. - Yeskendir Koishekenov; Sharvaree P. Vadgama; Riccardo Valperga; Erik J. Bekkers (ICCV (Workshops), 2023)

Reducing Over-smoothing in Graph Neural Networks Using Relational Embeddings. - Yeskendir Koishekenov (CoRR, 2023)

An Exploration of Conditioning Methods in Graph Neural Networks. - Yeskendir Koishekenov; Erik J. Bekkers (CoRR, 2023)

Calibrating Verbal Uncertainty as a Linear Feature to Reduce Hallucinations. - Ziwei Ji 001; Lei Yu; Yeskendir Koishekenov; Yejin Bang; Anthony Hartshorn; Alan Schelten; Cheng Zhang; Pascale Fung; Nicola Cancedda (CoRR, 2025)