🔗 Who cites «Exact solutions to the nonlinear dynamics of learning in deep linear neural networks»

96 papers of our library cite it (of the 149,439 whose bibliographies we read) · 12 with a page here, the most cited first · ← back to «Exact solutions to the nonlinear dynamics of learning in deep linear neural networks»

1. Learning Phrase Representations using RNN Encoder–Decoder for Statistical Machine TranslationConference on Empirical Methods in Natural Language Processing (EMNLP)Kyunghyun Cho, Bart van Merriënboer, Caglar Gulcehre, et al.2014 · 26,725 citations
2. Deep Residual Learning for Image RecognitionarXiv:1512.03385Kaiming He, Xiangyu Zhang, Shaoqing Ren, et al.2015 · 9,425 citations
3. Model-Agnostic Meta-Learning for Fast Adaptation of Deep NetworksarXiv:1703.03400Chelsea Finn, Pieter Abbeel, Sergey Levine2017 · 6,549 citations
4. Highway NetworksarXiv:1505.00387Rupesh Kumar Srivastava, Klaus Greff, Jürgen Schmidhuber2015 · 680 citations
5. Similarity of Neural Network Representations RevisitedarXiv:1905.00414Simon Kornblith, Mohammad Norouzi, Honglak Lee, et al.2019 · 679 citations
6. Deep Semantic Role Labeling: What Works and What's NextLuheng He, Kenton Lee, Mike Lewis, et al.2017 · 596 citations
7. The Ubuntu Dialogue Corpus: A Large Dataset for Research in Unstructured Multi-Turn Dialogue SystemsAnnual Meeting of the Special Interest Group on Discourse and Dialogue (SIGDIAL)Ryan Lowe, Nissan Pow, Iulian Serban, et al.2015 · 494 citations
8. Text Understanding with the Attention Sum Reader NetworkAnnual Meeting of the Association for Computational Linguistics (ACL)Rudolf Kadlec, Martin Schmid, Ondrej Bajgar, et al.2016 · 390 citations
9. Understanding the Difficulty of Training TransformersConference on Empirical Methods in Natural Language Processing (EMNLP)Liyuan Liu, Xiaodong Liu, Jianfeng Gao, et al.2020 · 231 citations
10. Generating and Exploiting Large-scale Pseudo Training Data for Zero Pronoun ResolutionAnnual Meeting of the Association for Computational Linguistics (ACL)Ting Liu, Yiming Cui, Qingyu Yin, et al.2017 · 37 citations
11. Between Circuits and Chomsky: Pre-pretraining on Formal Languages Imparts Linguistic BiasesAnnual Meeting of the Association for Computational Linguistics (ACL)Michael Y. Hu, Jackson Petty, Chuan Shi, et al.2025 · 9 citations
12. Toward Consistent World Models with Multi-Token Prediction and Latent Semantic EnhancementAnnual Meeting of the Association for Computational Linguistics (ACL)Qimin Zhong, Hao Liao, Haiming Qin, et al.2026

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