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Kai Yi
Kai Yi
PhD Student @ KAUST
Подтвержден адрес электронной почты в домене kaust.edu.sa - Главная страница
Название
Процитировано
Процитировано
Год
VisualGPT: Data-efficient Adaptation of Pretrained Language Models for Image Captioning
J Chen, H Guo, K Yi, B Li, M Elhoseiny
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2022, 2022
2682022
Variance Reduced ProxSkip: Algorithm, Theory and Application to Federated Learning
G Malinovsky, K Yi, P Richtárik
Neural Information Processing Systems (NeurIPS), 2022, 2022
372022
EF-BV: A Unified Theory of Error Feedback and Variance Reduction Mechanisms for Biased and Unbiased Compression in Distributed Optimization
L Condat, K Yi, P Richtárik
Neural Information Processing Systems (NeurIPS), 2022, 2022
242022
Feature Selective Small Object Detection via Knowledge-based Recurrent Attentive Neural Network
K Yi, Z Jian, S Chen, N Zheng
Technical Report, 2018
24*2018
Exploring Hierarchical Graph Representation for Large-Scale Zero-Shot Image Classification
K Yi, X Shen, Y Gou, M Elhoseiny
European Conference on Computer Vision (ECCV), 2022, 2022
232022
FedP3: Federated Personalized and Privacy-friendly Network Pruning under Model Heterogeneity
K Yi, N Gazagnadou, P Richtárik, L Lyu
The Twelfth International Conference on Learning Representations (ICLR24), 2024
122024
PV-Tuning: Beyond Straight-Through Estimation for Extreme LLM Compression
V Malinovskii, D Mazur, I Ilin, D Kuznedelev, K Burlachenko, K Yi, ...
Neural Information Processing Systems (NeurIPS), Oral, 2024, 2024
92024
Continual Zero-shot Learning through Semantically Guided Generative Random Walks
W Zhang, P Janson, K Yi, I Skorokhodov, M Elhoseiny
International Conference on Computer Vision (ICCV), 2023, 2023
7*2023
CIZSL++: Creativity Inspired Generative Zero-Shot Learning
M Elhoseiny, K Yi, M Elfeki
IEEE Transactions on Pattern Analysis and Machine Intelligence - Major Revision, 2022
72022
Explicit personalization and local training: Double communication acceleration in federated learning
K Yi, L Condat, P Richtárik
arXiv preprint arXiv:2305.13170, 2023
52023
Creative Walk Adversarial Networks: Novel Art Generation with Probabilistic Random Walk Deviation from Style Norms
D Jha, K Yi, I Skorokhodov, M Elhoseiny
International Conference on Computational Creativity (ICCC), 2022, 2022
52022
Language-Guided Imaginative Walks: Generative Random Walk Deviation Loss for Unseen Class Recognition using Text
K Yi, D Jha, I Skorokhodov, M Elhoseiny
CVPR 2022, L3D-IVU Workshop, 2022
4*2022
Fedcomloc: Communication-efficient distributed training of sparse and quantized models
K Yi, G Meinhardt, L Condat, P Richtárik
arXiv preprint arXiv:2403.09904, 2024
32024
Domain-Aware Continual Zero-Shot Learning
K Yi, M Elhoseiny
ICCV Workshop OOD-CV, 2023, 2023
32023
Unsupervised Domain Alignment Based Open Set Structural Recognition of Macromolecules Captured by Cryo-Electron Tomography
Y Zeng, G Howe, K Yi, X Zeng, J Zhang, YW Chang, M Xu
2021 IEEE International Conference on Image Processing (ICIP), 106-110, 2021
32021
Cohort Squeeze: Beyond a Single Communication Round per Cohort in Cross-Device Federated Learning
K Yi, T Kharisov, I Sokolov, P Richtárik
arXiv reprint arXiv:2406.01115, 2024
22024
Affine LBG For Codebook Training of Univariate Linear Representation
T Dong, J Wang, M Yang, K Yi, N Zheng
2018 IEEE Global Conference on Signal and Information Processing (GlobalSIP …, 2018
22018
Cognition-Based Deep Learning: Progresses and Perspectives
K Yi, S Chen, Y Chen, C Xia, N Zheng
Artificial Intelligence Applications and Innovations: 14th IFIP WG 12.5 …, 2018
22018
Disentangling Semantic Features of Macromolecules in Cryo-Electron Tomography
K Yi, J Pang, Y Zhang, X Zeng, M Xu
Technical Report, 2021
12021
Symmetric Pruning of Large Language Models
K Yi, P Richtárik
arXiv preprint arXiv:2501.18980, 2025
2025
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