---
title: "Kurt Keutzer — all works — Elamur Research"
description: "All 45 works of Kurt Keutzer in the Elamur Research library, the most cited first: our summaries where we have them, else the original."
canonical: "https://research.elamur.ai/free/en/authors/kurt-keutzer/works/"
---
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# Kurt Keutzer — all works

45 works · [← Kurt Keutzer](https://md.research.elamur.ai/free/en/authors/kurt-keutzer/)

1. **[SqueezeNet: AlexNet-level accuracy with 50x fewer parameters and \<0.5MB model size ↗](https://arxiv.org/abs/1602.07360) arXiv (Cornell University) · no summary yet**Forrest Iandola et al.*2016 · 6,402 citations*
2. **[FBNet: Hardware-Aware Efficient ConvNet Design via Differentiable Neural Architecture Search](https://md.research.elamur.ai/free/en/papers/wu-2018-fbnet-hardware-aware-efficient-convnet/) [IEEE Computer Society Conference on Computer Vision and Pattern Recognition](https://md.research.elamur.ai/free/en/venues/ieee-computer-society-conference-on-computer-vision-and-pattern-recognition/)**Bichen Wu, Xiaoliang Dai, Peizhao Zhang, et al.*2018 · 1,405 citations*
3. **[DenseNet: Implementing Efficient ConvNet Descriptor Pyramids ↗](https://arxiv.org/abs/1404.1869) arXiv (Cornell University) · no summary yet**Forrest Iandola et al.*2014 · 646 citations*
4. **[Q-BERT: Hessian Based Ultra Low Precision Quantization of BERT ↗](https://doi.org/10.1609/aaai.v34i05.6409) Proceedings of the AAAI Conference on Artificial Intelligence · no summary yet**Sheng Shen et al.*2020 · 619 citations*
5. **[HAWQ: Hessian AWare Quantization of Neural Networks With Mixed-Precision ↗](https://doi.org/10.1109/iccv.2019.00038) IEEE/CVF International Conference on Computer Vision (ICCV) · no summary yet**Zhen Dong et al.*2019 · 551 citations*
6. **[Domain Randomization and Pyramid Consistency: Simulation-to-Real Generalization Without Accessing Target Domain Data ↗](https://doi.org/10.1109/iccv.2019.00219) IEEE/CVF International Conference on Computer Vision (ICCV) · no summary yet**Xiangyu Yue et al.*2019 · 378 citations*
7. **[FireCaffe: near-linear acceleration of deep neural network training on compute clusters ↗](https://arxiv.org/abs/1511.00175) arXiv:1511.00175 · no summary yet**Forrest N. Iandola et al.*2015 · 310 citations*
8. **[KVQuant: Towards 10 Million Context Length LLM Inference with KV Cache Quantization](https://md.research.elamur.ai/free/en/papers/hooper-2024-kvquant-towards-10-million-context/) [Conference on Neural Information Processing Systems (NeurIPS)](https://md.research.elamur.ai/free/en/venues/neural-information-processing-systems/)**Coleman Hooper, Sehoon Kim, Hiva Mohammadzadeh, et al.*2024 · 294 citations*
9. **[Scale-MAE: A Scale-Aware Masked Autoencoder for Multiscale Geospatial Representation Learning ↗](https://doi.org/10.1109/iccv51070.2023.00378) IEEE/CVF International Conference on Computer Vision (ICCV) · no summary yet**Colorado Reed et al.*2023 · 248 citations*
10. **[How Much Can CLIP Benefit Vision-and-Language Tasks? ↗](https://arxiv.org/abs/2107.06383) arXiv (Cornell University) · no summary yet**Sheng Shen et al.*2021 · 220 citations*
11. **[Multi-Source Distilling Domain Adaptation ↗](https://doi.org/10.1609/aaai.v34i07.6997) Proceedings of the AAAI Conference on Artificial Intelligence · no summary yet**Sicheng Zhao et al.*2020 · 215 citations*
12. **[ADAHESSIAN: An Adaptive Second Order Optimizer for Machine Learning ↗](https://doi.org/10.1609/aaai.v35i12.17275) Proceedings of the AAAI Conference on Artificial Intelligence · no summary yet**Zhewei Yao et al.*2021 · 212 citations*
13. [**Aligning Large Multimodal Models with Factually Augmented RLHF arXiv:2309.14525**Zhiqing Sun, Sheng Shen, Shengcao Cao, et al.*2023 · 176 citations*](https://md.research.elamur.ai/free/en/papers/sun-2023-aligning-large-multimodal-models-factually/)
14. [**SqueezeLLM: Dense-and-Sparse Quantization arXiv:2306.07629**Sehoon Kim, Coleman Hooper, Amir Gholami, et al.*2023 · 170 citations*](https://md.research.elamur.ai/free/en/papers/kim-2023-squeezellm-dense-sparse-quantization/)
15. **[Prototypical Cross-domain Self-supervised Learning for Few-shot Unsupervised Domain Adaptation ↗](https://doi.org/10.1109/cvpr46437.2021.01362) IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · no summary yet**Xiangyu Yue et al.*2021 · 163 citations*
16. **[Aligning Large Multimodal Models with Factually Augmented RLHF ↗](https://aclanthology.org/2024.findings-acl.775/) Findings of the Association for Computational Linguistics: ACL 2024 · no summary yet**Zhiqing Sun et al.*2024 · 136 citations*
17. **[Train Big, Then Compress: Rethinking Model Size for Efficient Training and Inference of Transformers ↗](https://openalex.org/W3034340181) International Conference on Machine Learning · no summary yet**Zhuohan Li et al.*2020 · 133 citations*
18. **[I-BERT: Integer-only BERT Quantization](https://md.research.elamur.ai/free/en/papers/kim-2021-i-bert-integer-only-bert/) [International Conference on Machine Learning (ICML)](https://md.research.elamur.ai/free/en/venues/international-conference-on-machine-learning/)**Sehoon Kim, Amir Gholami, Zhewei Yao, et al.*2021 · 122 citations*
19. [**ImageNet Training in Minutes arXiv:1709.05011**Yang You, Zhao Zhang, Cho-Jui Hsieh, et al.*2017 · 112 citations*](https://md.research.elamur.ai/free/en/papers/you-2017-imagenet-training-minutes/)
20. **[Self-Supervised Pretraining Improves Self-Supervised Pretraining ↗](https://doi.org/10.1109/wacv51458.2022.00112) IEEE/CVF Winter Conference on Applications of Computer Vision (WACV) · no summary yet**Colorado Reed et al.*2022 · 108 citations*
21. **[Checkmate: Breaking the Memory Wall with Optimal Tensor Rematerialization ↗](https://arxiv.org/abs/1910.02653) MLSys 2020 · no summary yet**Paras Jain et al.*2019 · 98 citations*
22. **[ePointDA: An End-to-End Simulation-to-Real Domain Adaptation Framework for LiDAR Point Cloud Segmentation ↗](https://doi.org/10.1609/aaai.v35i4.16464) Proceedings of the AAAI Conference on Artificial Intelligence · no summary yet**Sicheng Zhao et al.*2021 · 97 citations*
23. **[Visual Transformers: Where Do Transformers Really Belong in Vision Models? ↗](https://doi.org/10.1109/iccv48922.2021.00064) IEEE/CVF International Conference on Computer Vision (ICCV) · no summary yet**Bichen Wu et al.*2021 · 96 citations*
24. **[Train Large, Then Compress: Rethinking Model Size for Efficient Training and Inference of Transformers ↗](https://arxiv.org/abs/2002.11794) arXiv (Cornell University) · no summary yet**Zhuohan Li et al.*2020 · 93 citations*
25. [**Why Do Multi-Agent LLM Systems Fail? arXiv:2503.13657**Mert Cemri, Melissa Z. Pan, Shuyi Yang, et al.*2025 · 89 citations*](https://md.research.elamur.ai/free/en/papers/cemri-2025-why-multi-agent-llm/)
26. **[Learning Invariant Representations and Risks for Semi-supervised Domain Adaptation ↗](https://doi.org/10.1109/cvpr46437.2021.00116) IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · no summary yet**Bo Li et al.*2021 · 88 citations*
27. **[Region Similarity Representation Learning ↗](https://doi.org/10.1109/iccv48922.2021.01037) IEEE/CVF International Conference on Computer Vision (ICCV) · no summary yet**Tete Xiao et al.*2021 · 84 citations*
28. [**S-LoRA: Serving Thousands of Concurrent LoRA Adapters MLSys 2024**Ying Sheng, Shiyi Cao, Dacheng Li, et al.*2023 · 80 citations*](https://md.research.elamur.ai/free/en/papers/sheng-2023-s-lora-serving-thousands-concurrent/)
29. **[Scaling Vision-Language Models with Sparse Mixture of Experts ↗](https://aclanthology.org/2023.findings-emnlp.758/) Findings of the Association for Computational Linguistics: EMNLP 2023 · no summary yet**Sheng Shen et al.*2023 · 70 citations*
30. **[Multitask Vision-Language Prompt Tuning ↗](https://doi.org/10.1109/wacv57701.2024.00556) IEEE/CVF Winter Conference on Applications of Computer Vision (WACV) · no summary yet**Sheng Shen et al.*2022 · 65 citations*
31. **[Trust Region Based Adversarial Attack on Neural Networks ↗](https://arxiv.org/abs/1812.06371) arXiv:1812.06371 · CVPR 2019 · no summary yet**Zhewei Yao et al.*2018 · 65 citations*
32. **[K-LITE: Learning Transferable Visual Models with External Knowledge ↗](https://doi.org/10.52202/068431-1132) neural information processing systems · no summary yet**Sheng Shen et al.*2022 · 61 citations*
33. **[Sparse VideoGen: Accelerating Video Diffusion Transformers with Spatial-Temporal Sparsity ↗](https://arxiv.org/abs/2502.01776) arXiv:2502.01776 · no summary yet**Haocheng Xi et al.*2025 · 56 citations*
34. **[CycleEmotionGAN: Emotional Semantic Consistency Preserved CycleGAN for Adapting Image Emotions ↗](https://doi.org/10.1609/aaai.v33i01.33012620) Proceedings of the AAAI Conference on Artificial Intelligence · no summary yet**Sicheng Zhao et al.*2019 · 54 citations*
35. **[Sparse VideoGen2: Accelerate Video Generation with Sparse Attention via Semantic-Aware Permutation ↗](https://arxiv.org/abs/2505.18875) arXiv:2505.18875 · no summary yet**Shuo Yang et al.*2025 · 44 citations*
36. **[SelfAugment: Automatic Augmentation Policies for Self-Supervised Learning ↗](https://doi.org/10.1109/cvpr46437.2021.00270) IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · no summary yet**Colorado Reed et al.*2021 · 41 citations*
37. **[S*: Test Time Scaling for Code Generation ↗](https://aclanthology.org/2025.findings-emnlp.865/) Findings of the Association for Computational Linguistics: EMNLP 2025 · no summary yet**Dacheng Li et al.*2025 · 26 citations*
38. **[Large Language Models are Visual Reasoning Coordinators ↗](https://doi.org/10.52202/075280-3072) neural information processing systems · no summary yet**Liangyu Chen et al.*2023 · 25 citations*
39. **[Radial Attention: O(n n) Sparse Attention with Energy Decay for Long Video Generation ↗](https://arxiv.org/abs/2506.19852) arXiv (Cornell University) · no summary yet**Li, Xingyang et al.*2025 · 23 citations*
40. **[Learning Adaptive Parallel Reasoning with Language Models ↗](https://arxiv.org/abs/2504.15466) arXiv (Cornell University) · no summary yet**Jiayi Pan et al.*2025 · 15 citations*
41. **[MITRA-zh-eval: Using a Buddhist Chinese Language Evaluation Dataset to Assess Machine Translation and Evaluation Metrics ↗](https://aclanthology.org/2025.nlp4dh-1.12/) Proceedings of the 5th International Conference on Natural Language Processing for Digital Humanities · no summary yet**Sebastian Nehrdich et al.*2025 · 4 citations*
42. **[Prior Knowledge-Guided Attention in Self-Supervised Vision Transformers ↗](https://arxiv.org/abs/2209.03745) arXiv (Cornell University) · no summary yet**Miao, Kevin et al.*2022 · 4 citations*
43. **[Radial Attention: O(n n) Sparse Attention with Energy Decay for Long Video Generation ↗](https://doi.org/10.52202/085713-0568) neural information processing systems · no summary yet**Xingyang Li et al.*2025 · 3 citations*
44. **[FreeToken: Efficient Edge-Native MoE Serving with Bandwidth-Adaptive Execution ↗](https://arxiv.org/abs/2608.16157) arXiv:2608.16157 · no summary yet**Shuo Yang et al.*2026 · 1 citation*
45. **[Descriptors on a plane!Stitch to large plane!~25 Resolutions!Input Image! ↗](https://openalex.org/W7096967739) no summary yet**Forrest Iandola et al.*2016*