Long-tailed classification by keeping
Web6 de abr. de 2024 · To alleviate the long-tail problem in Kazakh, the original softmax function was replaced by a balancedsoftmax function in the Conformer model and connectionist temporal classification (CTC) is used as an auxiliary task to speed up the model training and build a multi-task lightweight but efficient Conformer speech … WebIn long-tailed classification, perceiving hard samples with uncertainty can reduce the cost of trusting wrong pre-dictions, which is especially important in tail classes with few training samples. However, existing methods suffer from over-confidence [40,49] or excessive computational cost [4,8,15]. Therefore, for trustworthy long-tailed classi-
Long-tailed classification by keeping
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Web13 de abr. de 2024 · Data in the real world tends to exhibit a long-tailed label distribution, which poses great challenges for the training of neural networks in visual recognition. Existing methods tackle this problem mainly from the perspective of data quantity, i.e., the number of samples in each class. To be specific, they pay more attention to tail classes, … WebReview 2. Summary and Contributions: In the paper, the authors focus on the optimization momentum in long-tailed recognition problems and propose a causal inference framework that provides some theoretical comparison with previous works.Their solution based on the causal graph is proved effective on two recognition benchmarks. Strengths: 1) The …
WebTo systematically study the long-tailed classification and how momentum affects the prediction, we construct a causal graph [23, 22] in Figure 1 (a) with four variables: … Web16 de mai. de 2024 · Tang K, Huang J, Zhang H. Long-tailed classification by keeping the good and removing the bad momentum causal effect. In: Proceedings of International …
Web19 de jul. de 2024 · In long-tailed datasets, head classes occupy most of the data, while tail classes have very few samples. The imbalanced distribution of long-tailed data leads classifiers to overfit the data in head classes and mismatch with the training and testing distributions, especially for tail classes. To this end, this paper proposes an easy … Web17 de nov. de 2024 · Classification on long-tailed distributed data is a challenging problem, which suffers from serious class-imbalance and accordingly unpromising …
WebThe long tail is the name for a long-known feature of some statistical distributions (such as Zipf, power laws, Pareto distributions and general Lévy distributions ). In "long-tailed" distributions a high-frequency or …
Web6 de dez. de 2024 · Therefore, long-tailed classification is the key to deep learning at scale. However, existing methods are mainly based on re-weighting/re-sampling heuristics that … people playground rick and morty mod steamWeb14 de abr. de 2024 · We comprehensively discuss the long-tailed time series classification learning and construct three corresponding long-tailed datasets. To the best of our … together outsideWeb1 de nov. de 2024 · Long-Tailed Classification. Most existing long-tailed methods can be categorized into three types: 1) class-wise re-balancing using re-sampling strategies [20, 56], re-weighted losses [17, 35, 40], and post-hoc adjustments [31, 44], 2) data augmentation [11, 27], and 3) model ensembling [47, 54].Since the latter two aim to … together out of the ark lyricsWebLong-Tailed Classification by Keeping the Good and Removing the Bad Momentum Causal Effect Kaihua Tang 1, Jianqiang Huang1,2, Hanwang Zhang 1Nanyang … people playground school busWeb26 de set. de 2024 · NIPS 2024. [√] Balanced Meta-Softmax for Long-Tailed Visual Recognition [code] [√] Long-Tailed Classification by Keeping the Good and Removing the Bad Momentum Causal Effect [code] [√] Rethinking the Value of Labels for Improving Class-Imbalanced Learning [code] [√] Identifying and Compensating for Feature Deviation in … together outletWebTherefore, long-tailed classification is the key to deep learning at scale. However, existing methods are mainly based on re-weighting/re-sampling heuristics that lack a … people playground sans modWeb22 de jul. de 2024 · Tang, K., Huang, J., Zhang, H.: Long-tailed classification by keeping the good and removing the bad momentum causal effect. Advances in Neural Information Processing Systems 33, 1513-1524 (2024) people playground play