Sinkhorn Label Allocation: Semi-Supervised Classification via Annealed
Self-Training

Sinkhorn Label Allocation: Semi-Supervised Classification via Annealed Self-Training

17 February 2021

Peter Bailis

Gregory Valiant

Papers citing "Sinkhorn Label Allocation: Semi-Supervised Classification via Annealed Self-Training"

7 / 7 papers shown

Title
Towards Real-world Scenario: Imbalanced New Intent Discovery Shun Zhang Chaoran Yan Jian Yang J. H. Liu Ying Mo Jiaqi Bai Tongliang Li Z. Li 24 2 0 05 Jun 2024
RoNID: New Intent Discovery with Generated-Reliable Labels and Cluster-friendly Representations Shun Zhang Chaoran Yan Jian Yang Changyu Ren Jiaqi Bai Tongliang Li Zhoujun Li 27 1 0 13 Apr 2024
Roll With the Punches: Expansion and Shrinkage of Soft Label Selection for Semi-supervised Fine-Grained Learning Yue Duan Zhen Zhao Lei Qi Luping Zhou Lei Wang Yinghuan Shi 8 4 0 19 Dec 2023
SoftMatch: Addressing the Quantity-Quality Trade-off in Semi-supervised Learning Hao Chen R. Tao Yue Fan Yidong Wang Jindong Wang Bernt Schiele Xingxu Xie Bhiksha Raj Marios Savvides 6 139 0 26 Jan 2023
SoLar: Sinkhorn Label Refinery for Imbalanced Partial-Label Learning Haobo Wang Mingxuan Xia Yixuan Li Yuren Mao Lei Feng Gang Chen J. Zhao 31 36 0 21 Sep 2022
SiMCa: Sinkhorn Matrix Factorization with Capacity Constraints Eric Daoud Luca Ganassali Antoine Baker Marc Lelarge 23 0 0 18 Mar 2022
Improved Regularization and Robustness for Fine-tuning in Neural Networks Dongyue Li Hongyang R. Zhang NoLa 30 53 0 08 Nov 2021