🧑‍🔬 Who cites Sepp Hochreiter

232 citations of their works from 231 papers of our library (of the 149,439 whose bibliographies we read) · 26 with a page here, the most cited first · ← Sepp Hochreiter

1. Graph Attention NetworksarXiv:1710.10903Petar Veličkovic, Guillem Cucurull, Arantxa Casanova, et al.2017 · 9,035 citations
2. Learning Transferable Architectures for Scalable Image RecognitionIEEE Computer Society Conference on Computer Vision and Pattern RecognitionBarret Zoph, Vijay Vasudevan, Jonathon Shlens, et al.2017 · 6,583 citations
3. Efficient Transformers: A SurveyACM Computing SurveysYi Tay, Mostafa Dehghani, Dara Bahri, et al.2020 · 1,539 citations
4. DiSAN: Directional Self-Attention Network for RNN/CNN-Free Language UnderstandingProceedings of the AAAI Conference on Artificial IntelligenceTao Shen, Tianyi Zhou, Guodong Long, et al.2017 · 854 citations
5. SoundStream: An End-to-End Neural Audio CodecIEEE/ACM Transactions on Audio Speech and Language ProcessingNeil Zeghidour, Alejandro Luebs, Ahmed Omran, et al.2021 · 733 citations
6. Rethinking Attention with PerformersarXiv:2009.14794Krzysztof Choromanski, Valerii Likhosherstov, David Dohan, et al.2020 · 491 citations
7. High Fidelity Neural Audio CompressionarXiv:2210.13438Alexandre Defossez, Jade Copet, Gabriel Synnaeve, et al.2022 · 414 citations
8. FlashAttention-3: Fast and Accurate Attention with Asynchrony and Low-precisionConference on Neural Information Processing Systems (NeurIPS)Jay Shah, Ganesh Bikshandi, Ying Zhang, et al.2024 · 400 citations
9. RULER: What's the Real Context Size of Your Long-Context Language Models?arXiv:2404.06654Cheng-Ping Hsieh, Simeng Sun, Samuel Kriman, et al.2024 · 400 citations
10. Learning Latent Dynamics for Planning from PixelsarXiv:1811.04551Danijar Hafner, Timothy Lillicrap, Ian Fischer, et al.2018 · 394 citations
11. A Review of Large Language Models and Autonomous Agents in ChemistryarXiv:2407.01603Mayk Caldas Ramos, Christopher J. Collison, Andrew D. White2024 · 288 citations
12. Thinking Fast and Slow with Deep Learning and Tree SearcharXiv:1705.08439Thomas Anthony, Zheng Tian, David Barber2017 · 281 citations
13. A Comprehensive Survey of Small Language Models in the Era of Large Language Models: Techniques, Enhancements, Applications, Collaboration with LLMs, and TrustworthinessACM Transactions on Intelligent Systems and TechnologyFali Wang, Zhiwei Zhang, Xianren Zhang, et al.2024 · 159 citations
14. Moshi: a speech-text foundation model for real-time dialoguearXiv:2410.00037Alexandre Defossez, Laurent Mazare, Manu Orsini, et al.2024 · 157 citations
15. Efficient Processing of Deep Neural Networks: A Tutorial and SurveyProceedings of the IEEE 2017Vivienne Sze, Yu-Hsin Chen, Tien-Ju Yang, et al.2017 · 146 citations
16. GRADE: Automatic Graph-Enhanced Coherence Metric for Evaluating Open-Domain Dialogue SystemsConference on Empirical Methods in Natural Language Processing (EMNLP)Lishan Huang, Zheng Ye, Jinghui Qin, et al.2020 · 144 citations
17. Linear Transformers Are Secretly Fast Weight ProgrammersarXiv:2102.11174Imanol Schlag, Kazuki Irie, Jurgen Schmidhuber2021 · 111 citations
18. Leave No Context Behind: Efficient Infinite Context Transformers with Infini-attentionarXiv:2404.07143Tsendsuren Munkhdalai, Manaal Faruqui, Siddharth Gopal2024 · 80 citations
19. SpeechTokenizer: Unified Speech Tokenizer for Speech Large Language ModelsarXiv:2308.16692Xin Zhang, Dong Zhang, Shimin Li, et al.2023 · 53 citations
20. A Mention-Ranking Model for Abstract Anaphora ResolutionAna Marasović, Leo Born, Juri Opitz, et al.2017 · 43 citations
21. Baichuan-M1: Pushing the Medical Capability of Large Language ModelsarXiv:2502.12671Bingning Wang, Haizhou Zhao, Huozhi Zhou, et al.2025 · 24 citations
22. MoM: Linear Sequence Modeling with Mixture-of-MemoriesarXiv:2502.13685Jusen Du, Weigao Sun, Disen Lan, et al.2025 · 7 citations
23. AffectCodec: Emotion-Preserving Neural Speech Codec for Expressive Speech ModelingFindings of the Association for Computational LinguisticsJiacheng Shi, Hongfei Du, Xinyuan Song, et al.2026
24. Efficient Learned Data Compression via Dual-Stream Feature DecouplingAnnual Meeting of the Association for Computational Linguistics (ACL)Huidong Ma, Xinyan Shi, Sun Hui, et al.2026
25. Mitigating Degree Bias in Hypergraphs via Attribute-as-Structure ApproachConference of the European Chapter of the Association for Computational Linguistics (EACL)Ryusei Nishide, Makoto Miwa2026
26. Similarity-Distance-Magnitude ActivationsFindings of the Association for Computational LinguisticsAllen Schmaltz2026

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