obsession 发表于 2025-3-23 11:17:41
http://reply.papertrans.cn/63/6206/620539/620539_11.pngCHOKE 发表于 2025-3-23 15:55:37
Midpoint Regularization: From High Uncertainty Training Labels to Conservative Classification Decisiple the LS strategy smooths the one-hot encoded training signal by distributing its distribution mass over the non-ground truth classes. We extend this technique by considering example pairs, coined PLS. PLS first creates midpoint samples by averaging random sample pairs and then learns a smoothing大厅 发表于 2025-3-23 18:19:27
http://reply.papertrans.cn/63/6206/620539/620539_13.pngCharitable 发表于 2025-3-24 00:14:07
http://reply.papertrans.cn/63/6206/620539/620539_14.pngprecede 发表于 2025-3-24 04:34:41
http://reply.papertrans.cn/63/6206/620539/620539_15.pngGleason-score 发表于 2025-3-24 09:08:04
http://reply.papertrans.cn/63/6206/620539/620539_16.png正式通知 发表于 2025-3-24 12:31:17
Certification of Model Robustness in Active Class Selection this freedom can improve the model performance and decrease the data acquisition cost, it also puts the practical value of the trained model into question: is this model really appropriate for the class proportions that are handled during deployment? What if the deployment class proportions are unc桶去微染 发表于 2025-3-24 16:07:13
GraphAnoGAN: Detecting Anomalous Snapshots from Attributed Graphsl-world networks show that GraphAnoGAN outperforms 6 baselines with a significant margin (. and . higher precision and recall, respectively compared to the best baseline, averaged across all datasets).共栖 发表于 2025-3-24 20:10:39
http://reply.papertrans.cn/63/6206/620539/620539_19.png男生如果明白 发表于 2025-3-24 23:52:58
Disparity Between Batches as a Signal for Early Stoppingr than the validation data. Furthermore, we show in a wide range of experimental settings that gradient disparity is strongly related to the generalization error between the training and test sets, and that it is also very informative about the level of label noise.