|
SSR
|
SSR: An Efficient and Robust Framework for Learni…
|
74.91
|
2021-11-22
|
|
|
MW-Net
|
Meta-Weight-Net: Learning an Explicit Mapping For…
|
|
2019-02-20
|
|
|
LRA-diffusion (CC)
|
Label-Retrieval-Augmented Diffusion Models for Le…
|
|
2023-05-31
|
|
|
Super-SST (ViT-Small, 5% Labels)
|
SST: Self-training with Self-adaptive Thresholdin…
|
|
2025-05-31
|
|
|
SANM (DivideMix)
|
Learning with Noisy labels via Self-supervised Ad…
|
|
2023-02-14
|
|
|
CC
|
Centrality and Consistency: Two-Stage Clean Sampl…
|
|
2022-07-29
|
|
|
CPC
|
Class Prototype-based Cleaner for Label Noise Lea…
|
|
2022-12-21
|
|
|
Jigsaw-ViT+NCT
|
Jigsaw-ViT: Learning Jigsaw Puzzles in Vision Tra…
|
|
2022-07-25
|
|
|
MFRW
|
Learning advisor networks for noisy image classif…
|
|
2022-11-08
|
|
|
Knockoffs-SPR
|
Knockoffs-SPR: Clean Sample Selection in Learning…
|
|
2023-01-02
|
|
|
PGDF
|
Sample Prior Guided Robust Model Learning to Supp…
|
|
2021-12-02
|
|
|
AugDesc
|
Augmentation Strategies for Learning with Noisy L…
|
|
2021-03-03
|
|
|
Nested+Co-teaching (ResNet-50)
|
Compressing Features for Learning with Noisy Labe…
|
|
2022-06-27
|
|
|
NestedCoTeaching
|
Boosting Co-teaching with Compression Regularizat…
|
|
2021-04-28
|
|
|
ELR+
|
Early-Learning Regularization Prevents Memorizati…
|
|
2020-06-30
|
|
|
DivideMix
|
DivideMix: Learning with Noisy Labels as Semi-sup…
|
|
2020-02-18
|
|
|
ELR+ with C2D (ResNet-50)
|
Contrast to Divide: Self-Supervised Pre-Training …
|
|
2021-03-25
|
|
|
InstanceGM
|
Instance-Dependent Noisy Label Learning via Graph…
|
|
2022-09-02
|
|
|
LongReMix
|
LongReMix: Robust Learning with High Confidence S…
|
|
2021-03-06
|
|
|
FINE + DivideMix
|
FINE Samples for Learning with Noisy Labels
|
|
2021-02-23
|
|
|
Negative Label Smoothing (NLS)
|
To Smooth or Not? When Label Smoothing Meets Nois…
|
|
2021-06-08
|
|
|
CAL
|
A Second-Order Approach to Learning with Instance…
|
|
2020-12-22
|
|
|
NoiseRank
|
NoiseRank: Unsupervised Label Noise Reduction wit…
|
|
2020-03-15
|
|
|
FOCI
|
Which Strategies Matter for Noisy Label Classific…
|
|
2020-08-14
|
|
|
PENCIL
|
Probabilistic End-to-end Noise Correction for Lea…
|
|
2019-03-19
|
|
|
MLNT
|
Learning to Learn from Noisy Labeled Data
|
|
2018-12-13
|
|
|
HOC
|
Clusterability as an Alternative to Anchor Points…
|
|
2021-02-10
|
|
|
MAE (SimCLR)
|
Contrastive Learning Improves Model Robustness Un…
|
|
2021-04-19
|
|
|
Generalized CE (SimCLR)
|
Contrastive Learning Improves Model Robustness Un…
|
|
2021-04-19
|
|
|
DM
|
Derivative Manipulation for General Example Weigh…
|
|
2019-05-27
|
|
|
CCE (SimCLR)
|
Contrastive Learning Improves Model Robustness Un…
|
|
2021-04-19
|
|
|
CORES2
|
Learning with Instance-Dependent Label Noise: A S…
|
|
2020-10-05
|
|
|
IMAE
|
IMAE for Noise-Robust Learning: Mean Absolute Err…
|
|
2019-03-28
|
|
|
Robust f-divergence
|
When Optimizing $f$-divergence is Robust with Lab…
|
|
2020-11-07
|
|
|
LCCN
|
Safeguarded Dynamic Label Regression for Generali…
|
|
2019-03-06
|
|
|
DMI
|
L_DMI: An Information-theoretic Noise-robust Loss…
|
|
2019-09-08
|
|
|
BARE
|
Adaptive Sample Selection for Robust Learning und…
|
|
2021-06-29
|
|
|
Joint Opt.
|
Joint Optimization Framework for Learning with No…
|
|
2018-03-30
|
|
|
LRT
|
Error-Bounded Correction of Noisy Labels
|
|
2020-11-19
|
|
|
SPR
|
Scalable Penalized Regression for Noise Detection…
|
|
2022-03-15
|
|
|
MASKING
|
Masking: A New Perspective of Noisy Supervision
|
|
2018-05-21
|
|
|
SCE
|
Symmetric Cross Entropy for Robust Learning with …
|
|
2019-08-16
|
|
|
DY
|
Unsupervised Label Noise Modeling and Loss Correc…
|
|
2019-04-25
|
|
|
SEAL
|
Beyond Class-Conditional Assumption: A Primary At…
|
|
2020-12-10
|
|
|
JoCoR
|
Combating noisy labels by agreement: A joint trai…
|
|
2020-03-05
|
|
|
CoT
|
Co-teaching: Robust Training of Deep Neural Netwo…
|
|
2018-04-18
|
|
|
GCE
|
Generalized Cross Entropy Loss for Training Deep …
|
|
2018-05-20
|
|
|
D2L
|
Dimensionality-Driven Learning with Noisy Labels
|
|
2018-06-07
|
|
|
CCE
|
Adaptive Sample Selection for Robust Learning und…
|
|
2021-06-29
|
|