Ran Tao

33 papers A* 9A 3Journal 19Unranked 1
YearRankTypeTitle / Venue / Authors
2025 J jnl
Impact of Noisy Supervision in Foundation Model Learning.
IEEE Trans. Pattern Anal. Mach. Intell.
Hao Chen, Zihan Wang, Ran Tao, Hongxin Wei, Xing Xie, Masashi Sugiyama, Bhiksha Raj, Jindong Wang
2024 — conf
Conv-Adapter: Exploring Parameter Efficient Transfer Learning for ConvNets.
CVPR Workshops
Hao Chen, Ran Tao, Han Zhang, Yidong Wang, Xiang Li, Wei Ye, Jindong Wang, Guosheng Hu, Marios Savvides
2024 J jnl
Further Collapses in \(\boldsymbol{\mathsf{TFNP}}\).
SIAM J. Comput.
Mika Göös, Alexandros Hollender, Siddhartha Jain, Gilbert Maystre, William Pires, Robert Robere, Ran Tao
2024 A* conf
Imprecise Label Learning: A Unified Framework for Learning with Various Imprecise Label Configurations.
NeurIPS
Hao Chen, Ankit Shah, Jindong Wang, Ran Tao, Yidong Wang, Xiang Li, Xing Xie, Masashi Sugiyama, Rita Singh, Bhiksha Raj
2024 J jnl
Learning with Noisy Foundation Models.
CoRR
Hao Chen, Jindong Wang, Zihan Wang, Ran Tao, Hongxin Wei, Xing Xie, Masashi Sugiyama, Bhiksha Raj
2024 J jnl
Separations in Proof Complexity and TFNP.
J. ACM
Mika Göös, Alexandros Hollender, Siddhartha Jain, Gilbert Maystre, William Pires, Robert Robere, Ran Tao
2024 — —
Towards Learning with Limited Supervision: Efficient Few-shot and Semi-supervised Classification for Vision Tasks
Ran Tao
2024 A* conf
Understanding and Mitigating the Label Noise in Pre-training on Downstream Tasks.
ICLR
Hao Chen, Jindong Wang, Ankit Shah, Ran Tao, Hongxin Wei, Xing Xie, Masashi Sugiyama, Bhiksha Raj
2023 A* conf
Boosting Transductive Few-Shot Fine-tuning with Margin-based Uncertainty Weighting and Probability Regularization.
CVPR
Ran Tao, Hao Chen, Marios Savvides
2023 J jnl
Imprecise Label Learning: A Unified Framework for Learning with Various Imprecise Label Configurations.
CoRR
Hao Chen, Ankit Shah, Jindong Wang, Ran Tao, Yidong Wang, Xing Xie, Masashi Sugiyama, Rita Singh, Bhiksha Raj
2023 J jnl
SoftMatch: Addressing the Quantity-Quality Trade-off in Semi-supervised Learning.
CoRR
Hao Chen, Ran Tao, Yue Fan, Yidong Wang, Jindong Wang, Bernt Schiele, Xing Xie, Bhiksha Raj, Marios Savvides
2023 A* conf
SoftMatch: Addressing the Quantity-Quality Tradeoff in Semi-supervised Learning.
ICLR
Hao Chen, Ran Tao, Yue Fan, Yidong Wang, Jindong Wang, Bernt Schiele, Xing Xie, Bhiksha Raj, Marios Savvides
2023 J jnl
Understanding and Mitigating the Label Noise in Pre-training on Downstream Tasks.
CoRR
Hao Chen, Jindong Wang, Ankit Shah, Ran Tao, Hongxin Wei, Xing Xie, Masashi Sugiyama, Bhiksha Raj
2022 J jnl
Conv-Adapter: Exploring Parameter Efficient Transfer Learning for ConvNets.
CoRR
Hao Chen, Ran Tao, Han Zhang, Yidong Wang, Wei Ye, Jindong Wang, Guosheng Hu, Marios Savvides
2022 A conf
Further Collapses in TFNP.
CCC
Mika Göös, Alexandros Hollender, Siddhartha Jain, Gilbert Maystre, William Pires, Robert Robere, Ran Tao
2022 J jnl
Further Collapses in TFNP.
CoRR
Mika Göös, Alexandros Hollender, Siddhartha Jain, Gilbert Maystre, William Pires, Robert Robere, Ran Tao
2022 J jnl
Further Collapses in TFNP.
Electron. Colloquium Comput. Complex.
Mika Göös, Alexandros Hollender, Siddhartha Jain, Gilbert Maystre, William Pires, Robert Robere, Ran Tao
2022 A conf
Lower Bound Methods for Sign-Rank and Their Limitations.
APPROX/RANDOM
Hamed Hatami, Pooya Hatami, William Pires, Ran Tao, Rosie Zhao
2022 J jnl
Lower Bound Methods for Sign-rank and their Limitations.
Electron. Colloquium Comput. Complex.
Hamed Hatami, Pooya Hatami, William Pires, Ran Tao, Rosie Zhao
2022 J jnl
On public-coin zero-error randomized communication complexity.
Inf. Process. Lett.
Ben Davis, Hamed Hatami, William Pires, Ran Tao, Hamza Usmani
2022 A* conf
Powering Finetuning in Few-Shot Learning: Domain-Agnostic Bias Reduction with Selected Sampling.
AAAI
Ran Tao, Han Zhang, Yutong Zheng, Marios Savvides
2022 J jnl
Powering Finetuning in Few-shot Learning: Domain-Agnostic Feature Adaptation with Rectified Class Prototypes.
CoRR
Ran Tao, Han Zhang, Yutong Zheng, Marios Savvides
2022 A* conf
Separations in Proof Complexity and TFNP.
FOCS
Mika Göös, Alexandros Hollender, Siddhartha Jain, Gilbert Maystre, William Pires, Robert Robere, Ran Tao
2022 J jnl
Separations in Proof Complexity and TFNP.
CoRR
Mika Göös, Alexandros Hollender, Siddhartha Jain, Gilbert Maystre, William Pires, Robert Robere, Ran Tao
2022 J jnl
Separations in Proof Complexity and TFNP.
Electron. Colloquium Comput. Complex.
Mika Göös, Alexandros Hollender, Siddhartha Jain, Gilbert Maystre, William Pires, Robert Robere, Ran Tao
2022 A* conf
USB: A Unified Semi-supervised Learning Benchmark for Classification.
NeurIPS
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
2022 J jnl
USB: A Unified Semi-supervised Learning Benchmark.
CoRR
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
2021 J jnl
On public-coin zero-error randomized communication complexity.
Electron. Colloquium Comput. Complex.
Ben Davis, Hamed Hatami, William Pires, Ran Tao, Hamza Usmani
2021 A* conf
Unsupervised Disentanglement of Linear-Encoded Facial Semantics.
CVPR
Yutong Zheng, Yu-Kai Huang, Ran Tao, Zhiqiang Shen, Marios Savvides
2021 J jnl
Unsupervised Disentanglement of Linear-Encoded Facial Semantics.
CoRR
Yutong Zheng, Yu-Kai Huang, Ran Tao, Zhiqiang Shen, Marios Savvides
2019 A conf
Is Pose Really Solved? A Frontalization Study On Off-Angle Face Matching.
WACV
Dipan K. Pal, Chandrasekhar Bhagavatula, Yutong Zheng, Ran Tao, Marios Savvides
2018 A* conf
Seeing Small Faces From Robust Anchor's Perspective.
CVPR
Chenchen Zhu, Ran Tao, Khoa Luu, Marios Savvides
2018 J jnl
Seeing Small Faces from Robust Anchor's Perspective.
CoRR
Chenchen Zhu, Ran Tao, Khoa Luu, Marios Savvides