(2 stars) (2 forks) (0 个已索引 issue) (0 个开放 good first issue)
仓库
bhanML 的仓库
bhanML/Co-teachingPython
NeurIPS'18: Co-teaching: Robust Training of Deep Neural Networks with Extremely Noisy Labels
(521 stars) (109 forks) (0 个已索引 issue) (0 个开放 good first issue)
bhanML/coteaching_plusPython
ICML'19: How does Disagreement Help Generalization against Label Corruption?
(22 stars) (3 forks) (0 个已索引 issue) (0 个开放 good first issue)
bhanML/FasTerMATLAB
ICML'19: Efficient Nonconvex Regularized Tensor Completion with Structure-aware Proximal Iterations
(0 stars) (0 forks) (0 个已索引 issue) (0 个开放 good first issue)
ICML'20: Attacks Which Do Not Kill Training Make Adversarial Learning Stronger
(0 stars) (0 forks) (0 个已索引 issue) (0 个开放 good first issue)
An update-to-date list for papers related with label-noise representation learning is here.
(93 stars) (11 forks) (0 个已索引 issue) (0 个开放 good first issue)
bhanML/MaskingPython
NeurIPS'18: Masking: A New Perspective of Noisy Supervision
(55 stars) (7 forks) (0 个已索引 issue) (0 个开放 good first issue)
Related papers for robust machine learning
(0 stars) (1 fork) (0 个已索引 issue) (0 个开放 good first issue)
bhanML/Robust-ResNetPython
IJCAI'19: Towards Robust ResNet: A Small Step but a Giant Leap
(1 star) (0 forks) (0 个已索引 issue) (0 个开放 good first issue)
bhanML/SIGUAPython
ICML'20: SIGUA: Forgetting May Make Learning with Noisy Labels More Robust
(17 stars) (3 forks) (0 个已索引 issue) (0 个开放 good first issue)
bhanML/T-RevisionPython
NeurIPS'19: Are Anchor Points Really Indispensable in Label-Noise Learning?
(0 stars) (0 forks) (0 个已索引 issue) (0 个开放 good first issue)
bhanML/vild_codePython
ICML'20: Variational Imitation Learning with Diverse-quality Demonstrations
(0 stars) (0 forks) (0 个已索引 issue) (0 个开放 good first issue)