Why ResNet works? Residuals generalize F He, T Liu, D Tao IEEE Transactions on Neural Networks and Learning Systems 31 (12), 5349-5362, 2020 | 255 | 2020 |
Control batch size and learning rate to generalize well: Theoretical and empirical evidence F He, T Liu, D Tao Advances on Neural Information Processing Systems, 2019 | 224 | 2019 |
Progressive Reconstruction of Visual Structure for Image Inpainting J Li, F He, L Zhang, B Du, D Tao Proceedings of the IEEE International Conference on Computer Vision, 5962-5971, 2019 | 201 | 2019 |
Fast Spatio-Temporal Residual Network for Video Super-Resolution S Li, F He, B Du, L Zhang, Y Xu, D Tao Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2019 | 161 | 2019 |
Collect and Select: Semantic Alignment Metric Learning for Few-Shot Learning F Hao, F He, J Cheng, L Wang, J Cao, D Tao Proceedings of the IEEE International Conference on Computer Vision, 8460-8469, 2019 | 161 | 2019 |
DisPFL: Towards Communication-Efficient Personalized Federated Learning via Decentralized Sparse Training R Dai, L Shen, F He, X Tian, D Tao International Conference on Machine Learning, 2022 | 111 | 2022 |
Exploring Sequence Feature Alignment for Domain Adaptive Detection Transformers W Wang, Y Cao, J Zhang, F He, ZJ Zha, Y Wen, D Tao Proceedings of the 29th ACM International Conference on Multimedia, 1730-1738, 2021 | 91 | 2021 |
Shortcut Learning of Large Language Models in Natural Language Understanding M Du, F He, N Zou, D Tao, X Hu Communications of the ACM 67 (1), 110-120, 2024 | 79 | 2024 |
Robust unlearnable examples: Protecting data against adversarial learning S Fu, F He, Y Liu, L Shen, D Tao International Conference on Learning Representations, 2022 | 75 | 2022 |
Instance-dependent pu learning by bayesian optimal relabeling F He, T Liu, GI Webb, D Tao arXiv preprint arXiv:1808.02180, 2018 | 65 | 2018 |
Visual Semantics Allow for Textual Reasoning Better in Scene Text Recognition Y He, C Chen, J Zhang, J Liu, F He, C Wang, B Du AAAI Conference on Artificial Intelligence, 2022 | 61 | 2022 |
Artificial neural variability for deep learning: On overfitting, noise memorization, and catastrophic forgetting Z Xie, F He, S Fu, I Sato, D Tao, M Sugiyama Neural Computation 33 (8), 2163-2192, 2021 | 58 | 2021 |
Recent advances in deep learning theory F He, D Tao arXiv preprint arXiv:2012.10931, 2020 | 49 | 2020 |
Bridged Transformer for Vision and Point Cloud 3D Object Detection Y Wang, TQ Ye, L Cao, W Huang, F Sun, F He, D Tao Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2022 | 43 | 2022 |
Global-local interplay in semantic alignment for few-shot learning F Hao, F He, J Cheng, D Tao IEEE Transactions on Circuits and Systems for Video Technology 32 (7), 4351-4363, 2021 | 38 | 2021 |
Understanding Generalization in Recurrent Neural Networks Z Tu, F He, D Tao International Conference on Learning Representations, 2020 | 38 | 2020 |
Siamese Network with Interactive Transformer for Video Object Segmentation M Lan, J Zhang, F He, L Zhang AAAI Conference on Artificial Intelligence, 2022 | 35 | 2022 |
Topology-aware Generalization of Decentralized SGD T Zhu, F He, L Zhang, Z Niu, M Song, D Tao International Conference on Machine Learning, 2022 | 31 | 2022 |
Piecewise linear activations substantially shape the loss surfaces of neural networks F He, B Wang, D Tao International Conference of Learning Representations, 2020 | 31 | 2020 |
Achieving Personalized Federated Learning with Sparse Local Models T Huang, S Liu, L Shen, F He, W Lin, D Tao arXiv preprint arXiv:2201.11380, 2022 | 28 | 2022 |