Ran Tao

According to our database, Ran Tao authored at least 20 papers between 2018 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

Further Collapses in \(\boldsymbol{\mathsf{TFNP}}\).

Mika Göös, Alexandros Hollender, Siddhartha Jain, Gilbert Maystre, William Pires, Robert Robere, Ran Tao

SIAM J. Comput., 2024

Learning with Noisy Foundation Models.

Hao Chen, Jindong Wang, Zihan Wang, Ran Tao, Hongxin Wei, Xing Xie, Masashi Sugiyama, Bhiksha Raj

CoRR, 2024

Understanding and Mitigating the Label Noise in Pre-training on Downstream Tasks.

Hao Chen, Jindong Wang, Ankit Shah, Ran Tao, Hongxin Wei, Xing Xie, Masashi Sugiyama, Bhiksha Raj

Proceedings of the Twelfth International Conference on Learning Representations, 2024

Conv-Adapter: Exploring Parameter Efficient Transfer Learning for ConvNets.

Hao Chen, Ran Tao, Han Zhang, Yidong Wang, Xiang Li, Wei Ye, Jindong Wang, Guosheng Hu, Marios Savvides

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

2023

Imprecise Label Learning: A Unified Framework for Learning with Various Imprecise Label Configurations.

Hao Chen, Ankit Shah, Jindong Wang, Ran Tao, Yidong Wang, Xing Xie, Masashi Sugiyama, Rita Singh, Bhiksha Raj

CoRR, 2023

SoftMatch: Addressing the Quantity-Quality Trade-off in Semi-supervised Learning.

Hao Chen, Ran Tao, Yue Fan, Yidong Wang, Jindong Wang, Bernt Schiele, Xing Xie, Bhiksha Raj, Marios Savvides

CoRR, 2023

SoftMatch: Addressing the Quantity-Quality Tradeoff in Semi-supervised Learning.

Hao Chen, Ran Tao, Yue Fan, Yidong Wang, Jindong Wang, Bernt Schiele, Xing Xie, Bhiksha Raj, Marios Savvides

Proceedings of the Eleventh International Conference on Learning Representations, 2023

Boosting Transductive Few-Shot Fine-tuning with Margin-based Uncertainty Weighting and Probability Regularization.

Ran Tao, Hao Chen, Marios Savvides

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022

On public-coin zero-error randomized communication complexity.

Ben Davis, Hamed Hatami, William Pires, Ran Tao, Hamza Usmani

Inf. Process. Lett., 2022

Lower Bound Methods for Sign-rank and their Limitations.

Hamed Hatami, Pooya Hatami, William Pires, Ran Tao, Rosie Zhao

Electron. Colloquium Comput. Complex., 2022

Separations in Proof Complexity and TFNP.

Mika Göös, Alexandros Hollender, Siddhartha Jain, Gilbert Maystre, William Pires, Robert Robere, Ran Tao

Electron. Colloquium Comput. Complex., 2022

Further Collapses in TFNP.

Mika Göös, Alexandros Hollender, Siddhartha Jain, Gilbert Maystre, William Pires, Robert Robere, Ran Tao

Electron. Colloquium Comput. Complex., 2022

Conv-Adapter: Exploring Parameter Efficient Transfer Learning for ConvNets.

Hao Chen, Ran Tao, Han Zhang, Yidong Wang, Wei Ye, Jindong Wang, Guosheng Hu, Marios Savvides

CoRR, 2022

USB: A Unified Semi-supervised Learning Benchmark.

Yidong Wang, Hao Chen, Yue Fan, Wang Sun, Ran Tao, Wenxin Hou, Renjie Wang, Linyi Yang, Zhi Zhou, Lan-Zhe Guo, Heli Qi, Zhen Wu, Yufeng Li, Satoshi Nakamura, Wei Ye, Marios Savvides, Bhiksha Raj, Takahiro Shinozaki, Bernt Schiele, Jindong Wang, Xing Xie, Yue Zhang

CoRR, 2022

Powering Finetuning in Few-shot Learning: Domain-Agnostic Feature Adaptation with Rectified Class Prototypes.

Ran Tao, Han Zhang, Yutong Zheng, Marios Savvides

CoRR, 2022

USB: A Unified Semi-supervised Learning Benchmark for Classification.

Yidong Wang, Hao Chen, Yue Fan, Wang Sun, Ran Tao, Wenxin Hou, Renjie Wang, Linyi Yang, Zhi Zhou, Lan-Zhe Guo, Heli Qi, Zhen Wu, Yufeng Li, Satoshi Nakamura, Wei Ye, Marios Savvides, Bhiksha Raj, Takahiro Shinozaki, Bernt Schiele, Jindong Wang, Xing Xie, Yue Zhang

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Powering Finetuning in Few-Shot Learning: Domain-Agnostic Bias Reduction with Selected Sampling.

Ran Tao, Han Zhang, Yutong Zheng, Marios Savvides

Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021

Unsupervised Disentanglement of Linear-Encoded Facial Semantics.

Yutong Zheng, Yu-Kai Huang, Ran Tao, Zhiqiang Shen, Marios Savvides

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

2019

Is Pose Really Solved? A Frontalization Study On Off-Angle Face Matching.

Dipan K. Pal, Chandrasekhar Bhagavatula, Yutong Zheng, Ran Tao, Marios Savvides

Proceedings of the IEEE Winter Conference on Applications of Computer Vision, 2019

2018

Seeing Small Faces From Robust Anchor's Perspective.

Chenchen Zhu, Ran Tao, Khoa Luu, Marios Savvides

Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition, 2018