🧑‍🔬 Bryan Catanzaro — all works

32 works · ← Bryan Catanzaro

1. Deep Speech 2: End-to-End Speech Recognition in English and MandarinarXiv:1512.02595Dario Amodei, Rishita Anubhai, Eric Battenberg, et al.2015 · 2,341 citations
2. Deep Speech: Scaling up end-to-end speech recognitionarXiv:1412.5567Awni Hannun, Carl Case, Jared Casper, et al.2014 · 1,600 citations
3. cuDNN: Efficient Primitives for Deep Learning ↗arXiv 2014 (NVIDIA) · no summary yetSharan Chetlur et al.2014 · 1,240 citations
4. WaveGlow: A Flow-based Generative Network for Speech Synthesis ↗arXiv:1811.00002 · no summary yetRyan Prenger, Rafael Valle, Bryan Catanzaro2018 · 1,055 citations
5. Improving Semantic Segmentation via Video Propagation and Label Relaxation ↗IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · no summary yetYi Zhu et al.2019 · 420 citations
6. Reducing Activation Recomputation in Large Transformer ModelsarXiv:2205.05198Vijay Korthikanti, Jared Casper, Sangkug Lym, et al.2022 · 273 citations
7. Graphical Contrastive Losses for Scene Graph Parsing ↗IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · no summary yetJi Zhang et al.2019 · 261 citations
8. NV-Embed: Improved Techniques for Training LLMs as Generalist Embedding ModelsarXiv:2405.17428Chankyu Lee, Rajarshi Roy, Mengyao Xu, et al.2024 · 222 citations
9. Training Question Answering Models From Synthetic DataConference on Empirical Methods in Natural Language Processing (EMNLP)Raul Puri, Ryan Spring, Mohammad Shoeybi, et al.2020 · 208 citations
10. Factuality Enhanced Language Models for Open-Ended Text Generation ↗arXiv:2206.04624 · no summary yetNayeon Lee et al.2022 · 168 citations
11. MEGATRON-CNTRL: Controllable Story Generation with External Knowledge Using Large-Scale Language ModelsConference on Empirical Methods in Natural Language Processing (EMNLP)Peng Xu, Mostofa Patwary, Mohammad Shoeybi, et al.2020 · 158 citations
12. Retrieval meets Long Context Large Language ModelsarXiv:2310.03025Peng Xu, Wei Ping, Xianchao Wu, et al.2023 · 130 citations
13. End-to-End Training of Neural Retrievers for Open-Domain Question AnsweringAnnual Meeting of the Association for Computational Linguistics (ACL)Devendra Sachan, Mostofa Patwary, Mohammad Shoeybi, et al.2021 · 116 citations
14. Nemotron-4 340B Technical ReportarXiv:2406.11704Nvidia: Bo Adler, Niket Agarwal, Ashwath Aithal, et al.2024 · 107 citations
15. An Empirical Study of Mamba-based Language Models ↗arXiv:2406.07887 · no summary yetRoger Waleffe et al.2024 · 67 citations
16. Nemotron-CC: Transforming Common Crawl into a Refined Long-Horizon Pretraining DatasetAnnual Meeting of the Association for Computational Linguistics (ACL)Dan Su, Kezhi Kong, Ying Lin, et al.2025 · 65 citations
17. ChatQA: Surpassing GPT-4 on Conversational QA and RAGConference on Neural Information Processing Systems (NeurIPS)Zihan Liu, Wei Ping, Rajarshi Roy, et al.2024 · 58 citations
18. Dual Contrastive Loss and Attention for GANs ↗IEEE/CVF International Conference on Computer Vision (ICCV) · no summary yetNing Yu et al.2021 · 53 citations
19. NVLM: Open Frontier-Class Multimodal LLMsarXiv:2409.11402Wenliang Dai, Nayeon Lee, Boxin Wang, et al.2024 · 44 citations
20. Re-ViLM: Retrieval-Augmented Visual Language Model for Zero and Few-Shot Image Captioning ↗Findings of the Association for Computational Linguistics: EMNLP 2023 · no summary yetZhuolin Yang et al.2023 · 44 citations
21. ODIN: Disentangled Reward Mitigates Hacking in RLHF ↗arXiv:2402.07319 · no summary yetLichang Chen et al.2024 · 38 citations
22. AceMath: Advancing Frontier Math Reasoning with Post-Training and Reward Modeling ↗Findings of the Association for Computational Linguistics: ACL 2025 · no summary yetZihan Liu et al.2025 · 37 citations
23. Reuse, Don't Retrain: A Recipe for Continued Pretraining of Language ModelsarXiv:2407.07263Jupinder Parmar, Sanjev Satheesh, Mostofa Patwary, et al.2024 · 36 citations
24. AceReason-Nemotron: Advancing Math and Code Reasoning through Reinforcement Learning ↗arXiv:2505.16400 · no summary yetYang Chen et al.2025 · 30 citations
25. AceReason-Nemotron 1.1: Advancing Math and Code Reasoning through SFT and RL SynergyarXiv:2506.13284Zihan Liu, Zhuolin Yang, Yang Chen, et al.2025 · 21 citations
26. MLSys: The New Frontier of Machine Learning Systems ↗arXiv (Cornell University) · no summary yetAlexander Ratner et al.2019 · 19 citations
27. Maximize Your Data's Potential: Enhancing LLM Accuracy with Two-Phase PretrainingarXiv:2412.15285Steven Feng, Shrimai Prabhumoye, Kezhi Kong, et al.2024 · 12 citations
28. MIND: Math Informed syNthetic Dialogues for Pretraining LLMs ↗arXiv:2410.12881 · no summary yetSyeda Nahida Akter et al.2024 · 11 citations
29. Nemotron-CrossThink: Scaling Self-Learning beyond Math ReasoningConference of the European Chapter of the Association for Computational Linguistics (EACL)Syeda Nahida Akter, Shrimai Prabhumoye, Matvei Novikov, et al.2026 · 9 citations
30. Front-Loading Reasoning: The Synergy between Pretraining and Post-Training Data ↗arXiv:2510.03264 · no summary yetSyeda Nahida Akter et al.2025 · 6 citations
31. From 128K to 4M: Efficient Training of Ultra-Long Context Large Language ModelsFindings of the Association for Computational LinguisticsChejian Xu, Wei Ping, Peng Xu, et al.2026 · 5 citations
32. Before They Can Solve: Predicting Post-Training Coding-Agent Performance from Base Models ↗arXiv (Cornell University) · no summary yetTan Yu et al.2026

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