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1,213 claims from 764 papers are on the record. 45 have been checked so far; the other 1,168 have no check with a result yet.

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Status: Unchecked ×Keyword: catastrophic forgetting ×Clear all

3 claims from 2 papers

1. Computer Science › Advanced Neural Network Applications

   Network Pruning via Performance Maximization

   Gao, Huang, Cai and Huang · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · 2021

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   1. Unchecked“Extensive experimental results show that the proposed method can achieve state-of-the-art performance with ResNet, MobileNetV2, and ShuffleNetV2+ on ImageNet and CIFAR-10.”

2. Computer Science › Domain Adaptation and Few-Shot Learning

   Composable Sparse Fine-Tuning for Cross-Lingual Transfer

   Alan, Ponti, Korhonen and Vulić · arXiv (Cornell University) · 2021

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   1. Unchecked“Most importantly, it outperforms adapters in zero-shot cross-lingual transfer by a large margin in a series of multilingual benchmarks, including Universal Dependencies, MasakhaNER, and AmericasNLI.”
   2. Unchecked“Based on an in-depth analysis, we additionally find that sparsity is crucial to prevent both 1) interference between the fine-tunings to be composed and 2) overfitting.”