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Kurt Keutzer
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- affiliation: University of California, Berkeley, USA
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2020 – today
- 2024
- [j67]Amir Gholami, Zhewei Yao, Sehoon Kim, Coleman Hooper, Michael W. Mahoney, Kurt Keutzer:
AI and Memory Wall. IEEE Micro 44(3): 33-39 (2024) - [c229]Rongyu Zhang, Yulin Luo, Jiaming Liu, Huanrui Yang, Zhen Dong, Denis A. Gudovskiy, Tomoyuki Okuno, Yohei Nakata, Kurt Keutzer, Yuan Du, Shanghang Zhang:
Efficient Deweahter Mixture-of-Experts with Uncertainty-Aware Feature-Wise Linear Modulation. AAAI 2024: 16812-16820 - [c228]Nicholas Lee, Thanakul Wattanawong, Sehoon Kim, Karttikeya Mangalam, Sheng Shen, Gopala Anumanchipalli, Michael W. Mahoney, Kurt Keutzer, Amir Gholami:
LLM2LLM: Boosting LLMs with Novel Iterative Data Enhancement. ACL (Findings) 2024: 6498-6526 - [c227]Zhiqing Sun, Sheng Shen, Shengcao Cao, Haotian Liu, Chunyuan Li, Yikang Shen, Chuang Gan, Liangyan Gui, Yu-Xiong Wang, Yiming Yang, Kurt Keutzer, Trevor Darrell:
Aligning Large Multimodal Models with Factually Augmented RLHF. ACL (Findings) 2024: 13088-13110 - [c226]Junyi Yao, Yijiang Liu, Zhen Dong, Mingfei Guo, Helan Hu, Kurt Keutzer, Li Du, Daquan Zhou, Shanghang Zhang:
PromptCoT: Align Prompt Distribution via Adapted Chain-of-Thought. CVPR 2024: 7027-7037 - [c225]Sheng Shen, Le Hou, Yanqi Zhou, Nan Du, Shayne Longpre, Jason Wei, Hyung Won Chung, Barret Zoph, William Fedus, Xinyun Chen, Tu Vu, Yuexin Wu, Wuyang Chen, Albert Webson, Yunxuan Li, Vincent Y. Zhao, Hongkun Yu, Kurt Keutzer, Trevor Darrell, Denny Zhou:
Mixture-of-Experts Meets Instruction Tuning: A Winning Combination for Large Language Models. ICLR 2024 - [c224]Anthony Chen, Huanrui Yang, Yulu Gan, Denis A. Gudovskiy, Zhen Dong, Haofan Wang, Tomoyuki Okuno, Yohei Nakata, Kurt Keutzer, Shanghang Zhang:
Split-Ensemble: Efficient OOD-aware Ensemble via Task and Model Splitting. ICML 2024 - [c223]Sehoon Kim, Coleman Hooper, Amir Gholami, Zhen Dong, Xiuyu Li, Sheng Shen, Michael W. Mahoney, Kurt Keutzer:
SqueezeLLM: Dense-and-Sparse Quantization. ICML 2024 - [c222]Sehoon Kim, Suhong Moon, Ryan Tabrizi, Nicholas Lee, Michael W. Mahoney, Kurt Keutzer, Amir Gholami:
An LLM Compiler for Parallel Function Calling. ICML 2024 - [c221]Ying Sheng, Shiyi Cao, Dacheng Li, Coleman Hooper, Nicholas Lee, Shuo Yang, Christopher Chou, Banghua Zhu, Lianmin Zheng, Kurt Keutzer, Joseph Gonzalez, Ion Stoica:
SLoRA: Scalable Serving of Thousands of LoRA Adapters. MLSys 2024 - [c220]Rongyu Zhang, Zefan Cai, Huanrui Yang, Zidong Liu, Denis A. Gudovskiy, Tomoyuki Okuno, Yohei Nakata, Kurt Keutzer, Baobao Chang, Yuan Du, Li Du, Shanghang Zhang:
VeCAF: Vision-language Collaborative Active Finetuning with Training Objective Awareness. ACM Multimedia 2024: 5451-5459 - [c219]Sheng Shen, Shijia Yang, Tianjun Zhang, Bohan Zhai, Joseph E. Gonzalez, Kurt Keutzer, Trevor Darrell:
Multitask Vision-Language Prompt Tuning. WACV 2024: 5644-5655 - [i164]Rongyu Zhang, Zefan Cai, Huanrui Yang, Zidong Liu, Denis A. Gudovskiy, Tomoyuki Okuno, Yohei Nakata, Kurt Keutzer, Baobao Chang, Yuan Du, Li Du, Shanghang Zhang:
VeCAF: VLM-empowered Collaborative Active Finetuning with Training Objective Awareness. CoRR abs/2401.07853 (2024) - [i163]Siddharth Jha, Coleman Hooper, Xiaoxuan Liu, Sehoon Kim, Kurt Keutzer:
Learned Best-Effort LLM Serving. CoRR abs/2401.07886 (2024) - [i162]Coleman Hooper, Sehoon Kim, Hiva Mohammadzadeh, Michael W. Mahoney, Yakun Sophia Shao, Kurt Keutzer, Amir Gholami:
KVQuant: Towards 10 Million Context Length LLM Inference with KV Cache Quantization. CoRR abs/2401.18079 (2024) - [i161]Ze Ma, Daquan Zhou, Chun-Hsiao Yeh, Xue-She Wang, Xiuyu Li, Huanrui Yang, Zhen Dong, Kurt Keutzer, Jiashi Feng:
Magic-Me: Identity-Specific Video Customized Diffusion. CoRR abs/2402.09368 (2024) - [i160]Zhihang Yuan, Yuzhang Shang, Yang Zhou, Zhen Dong, Zhe Zhou, Chenhao Xue, Bingzhe Wu, Zhikai Li, Qingyi Gu, Yong Jae Lee, Yan Yan, Beidi Chen, Guangyu Sun, Kurt Keutzer:
LLM Inference Unveiled: Survey and Roofline Model Insights. CoRR abs/2402.16363 (2024) - [i159]Chensheng Peng, Chenfeng Xu, Yue Wang, Mingyu Ding, Heng Yang, Masayoshi Tomizuka, Kurt Keutzer, Marco Pavone, Wei Zhan:
Q-SLAM: Quadric Representations for Monocular SLAM. CoRR abs/2403.08125 (2024) - [i158]Qitian Jason Hu, Jacob Bieker, Xiuyu Li, Nan Jiang, Benjamin Keigwin, Gaurav Ranganath, Kurt Keutzer, Shriyash Kaustubh Upadhyay:
RouterBench: A Benchmark for Multi-LLM Routing System. CoRR abs/2403.12031 (2024) - [i157]Amir Gholami, Zhewei Yao, Sehoon Kim, Coleman Hooper, Michael W. Mahoney, Kurt Keutzer:
AI and Memory Wall. CoRR abs/2403.14123 (2024) - [i156]Nicholas Lee, Thanakul Wattanawong, Sehoon Kim, Karttikeya Mangalam, Sheng Shen, Gopala Anumanchipalli, Michael W. Mahoney, Kurt Keutzer, Amir Gholami:
LLM2LLM: Boosting LLMs with Novel Iterative Data Enhancement. CoRR abs/2403.15042 (2024) - [i155]Sijun Tan, Xiuyu Li, Shishir G. Patil, Ziyang Wu, Tianjun Zhang, Kurt Keutzer, Joseph E. Gonzalez, Raluca Ada Popa:
LLoCO: Learning Long Contexts Offline. CoRR abs/2404.07979 (2024) - [i154]Yijiang Liu, Rongyu Zhang, Huanrui Yang, Kurt Keutzer, Yuan Du, Li Du, Shanghang Zhang:
Intuition-aware Mixture-of-Rank-1-Experts for Parameter Efficient Finetuning. CoRR abs/2404.08985 (2024) - [i153]Feng Liang, Akio Kodaira, Chenfeng Xu, Masayoshi Tomizuka, Kurt Keutzer, Diana Marculescu:
Looking Backward: Streaming Video-to-Video Translation with Feature Banks. CoRR abs/2405.15757 (2024) - [i152]Nan Huang, Xiaobao Wei, Wenzhao Zheng, Pengju An, Ming Lu, Wei Zhan, Masayoshi Tomizuka, Kurt Keutzer, Shanghang Zhang:
S3Gaussian: Self-Supervised Street Gaussians for Autonomous Driving. CoRR abs/2405.20323 (2024) - [i151]Ruijun Zhang, Xianda Guo, Wenzhao Zheng, Chenming Zhang, Kurt Keutzer, Long Chen:
Instruct Large Language Models to Drive like Humans. CoRR abs/2406.07296 (2024) - [i150]Yiheng Li, Heyang Jiang, Akio Kodaira, Masayoshi Tomizuka, Kurt Keutzer, Chenfeng Xu:
Immiscible Diffusion: Accelerating Diffusion Training with Noise Assignment. CoRR abs/2406.12303 (2024) - [i149]Huanrui Yang, Yafeng Huang, Zhen Dong, Denis A. Gudovskiy, Tomoyuki Okuno, Yohei Nakata, Yuan Du, Kurt Keutzer, Shanghang Zhang:
Fisher-aware Quantization for DETR Detectors with Critical-category Objectives. CoRR abs/2407.03442 (2024) - [i148]Siddharth Jha, Lutfi Eren Erdogan, Sehoon Kim, Kurt Keutzer, Amir Gholami:
Characterizing Prompt Compression Methods for Long Context Inference. CoRR abs/2407.08892 (2024) - [i147]Haiquan Lu, Xiaotian Liu, Yefan Zhou, Qunli Li, Kurt Keutzer, Michael W. Mahoney, Yujun Yan, Huanrui Yang, Yaoqing Yang:
Sharpness-diversity tradeoff: improving flat ensembles with SharpBalance. CoRR abs/2407.12996 (2024) - [i146]Zhijian Liu, Zhuoyang Zhang, Samir Khaki, Shang Yang, Haotian Tang, Chenfeng Xu, Kurt Keutzer, Song Han:
Sparse Refinement for Efficient High-Resolution Semantic Segmentation. CoRR abs/2407.19014 (2024) - [i145]Zhongyu Zhao, Menghang Dong, Rongyu Zhang, Wenzhao Zheng, Yunpeng Zhang, Huanrui Yang, Dalong Du, Kurt Keutzer, Shanghang Zhang:
FactorLLM: Factorizing Knowledge via Mixture of Experts for Large Language Models. CoRR abs/2408.11855 (2024) - [i144]Zhikai Li, Xuewen Liu, Dongrong Fu, Jianquan Li, Qingyi Gu, Kurt Keutzer, Zhen Dong:
K-Sort Arena: Efficient and Reliable Benchmarking for Generative Models via K-wise Human Preferences. CoRR abs/2408.14468 (2024) - [i143]Lutfi Eren Erdogan, Nicholas Lee, Siddharth Jha, Sehoon Kim, Ryan Tabrizi, Suhong Moon, Coleman Hooper, Gopala Anumanchipalli, Kurt Keutzer, Amir Gholami:
TinyAgent: Function Calling at the Edge. CoRR abs/2409.00608 (2024) - [i142]Suhong Moon, Siddharth Jha, Lutfi Eren Erdogan, Sehoon Kim, Woosang Lim, Kurt Keutzer, Amir Gholami:
Efficient and Scalable Estimation of Tool Representations in Vector Space. CoRR abs/2409.02141 (2024) - [i141]Lawrence Yunliang Chen, Chenfeng Xu, Karthik Dharmarajan, Muhammad Zubair Irshad, Richard Cheng, Kurt Keutzer, Masayoshi Tomizuka, Quan Vuong, Ken Goldberg:
RoVi-Aug: Robot and Viewpoint Augmentation for Cross-Embodiment Robot Learning. CoRR abs/2409.03403 (2024) - [i140]Yuzhang Shang, Bingxin Xu, Weitai Kang, Mu Cai, Yuheng Li, Zehao Wen, Zhen Dong, Kurt Keutzer, Yong Jae Lee, Yan Yan:
Interpolating Video-LLMs: Toward Longer-sequence LMMs in a Training-free Manner. CoRR abs/2409.12963 (2024) - [i139]Sebastian Nehrdich, Oliver Hellwig, Kurt Keutzer:
One Model is All You Need: ByT5-Sanskrit, a Unified Model for Sanskrit NLP Tasks. CoRR abs/2409.13920 (2024) - 2023
- [j66]Chao Xia, Chenfeng Xu, Patrick Rim, Mingyu Ding, Nanning Zheng, Kurt Keutzer, Masayoshi Tomizuka, Wei Zhan:
Quadric Representations for LiDAR Odometry, Mapping and Localization. IEEE Robotics Autom. Lett. 8(8): 5023-5030 (2023) - [c218]Yuheng Lu, Chenfeng Xu, Xiaobao Wei, Xiaodong Xie, Masayoshi Tomizuka, Kurt Keutzer, Shanghang Zhang:
Open-Vocabulary Point-Cloud Object Detection without 3D Annotation. CVPR 2023: 1190-1199 - [c217]Yijiang Liu, Huanrui Yang, Zhen Dong, Kurt Keutzer, Li Du, Shanghang Zhang:
NoisyQuant: Noisy Bias-Enhanced Post-Training Activation Quantization for Vision Transformers. CVPR 2023: 20321-20330 - [c216]Lirui Xiao, Huanrui Yang, Zhen Dong, Kurt Keutzer, Li Du, Shanghang Zhang:
CSQ: Growing Mixed-Precision Quantization Scheme with Bi-level Continuous Sparsification. DAC 2023: 1-6 - [c215]Brian Yu, Hansen Lillemark, Kurt Keutzer:
Simple and Effective Input Reformulations for Translation. EMNLP 2023: 10322-10334 - [c214]Sheng Shen, Zhewei Yao, Chunyuan Li, Trevor Darrell, Kurt Keutzer, Yuxiong He:
Scaling Vision-Language Models with Sparse Mixture of Experts. EMNLP (Findings) 2023: 11329-11344 - [c213]Yifan Zhang, Zhen Dong, Huanrui Yang, Ming Lu, Cheng-Ching Tseng, Yuan Du, Kurt Keutzer, Li Du, Shanghang Zhang:
QD-BEV : Quantization-aware View-guided Distillation for Multi-view 3D Object Detection. ICCV 2023: 3802-3812 - [c212]Colorado J. Reed, Ritwik Gupta, Shufan Li, Sarah Brockman, Christopher Funk, Brian Clipp, Kurt Keutzer, Salvatore Candido, Matt Uyttendaele, Trevor Darrell:
Scale-MAE: A Scale-Aware Masked Autoencoder for Multiscale Geospatial Representation Learning. ICCV 2023: 4065-4076 - [c211]Xiuyu Li, Yijiang Liu, Long Lian, Huanrui Yang, Zhen Dong, Daniel Kang, Shanghang Zhang, Kurt Keutzer:
Q-Diffusion: Quantizing Diffusion Models. ICCV 2023: 17489-17499 - [c210]Yichen Xie, Chenfeng Xu, Marie-Julie Rakotosaona, Patrick Rim, Federico Tombari, Kurt Keutzer, Masayoshi Tomizuka, Wei Zhan:
SparseFusion: Fusing Multi-Modal Sparse Representations for Multi-Sensor 3D Object Detection. ICCV 2023: 17545-17556 - [c209]Chenfeng Xu, Bichen Wu, Ji Hou, Sam S. Tsai, Ruilong Li, Jialiang Wang, Wei Zhan, Zijian He, Peter Vajda, Kurt Keutzer, Masayoshi Tomizuka:
NeRF-Det: Learning Geometry-Aware Volumetric Representation for Multi-View 3D Object Detection. ICCV 2023: 23263-23273 - [c208]Jinhyung Park, Chenfeng Xu, Shijia Yang, Kurt Keutzer, Kris M. Kitani, Masayoshi Tomizuka, Wei Zhan:
Time Will Tell: New Outlooks and A Baseline for Temporal Multi-View 3D Object Detection. ICLR 2023 - [c207]Liangyu Chen, Bo Li, Sheng Shen, Jingkang Yang, Chunyuan Li, Kurt Keutzer, Trevor Darrell, Ziwei Liu:
Large Language Models are Visual Reasoning Coordinators. NeurIPS 2023 - [c206]Sehoon Kim, Karttikeya Mangalam, Suhong Moon, Jitendra Malik, Michael W. Mahoney, Amir Gholami, Kurt Keutzer:
Speculative Decoding with Big Little Decoder. NeurIPS 2023 - [c205]Shashank Subramanian, Peter Harrington, Kurt Keutzer, Wahid Bhimji, Dmitriy Morozov, Michael W. Mahoney, Amir Gholami:
Towards Foundation Models for Scientific Machine Learning: Characterizing Scaling and Transfer Behavior. NeurIPS 2023 - [i138]Xiuyu Li, Long Lian, Yijiang Liu, Huanrui Yang, Zhen Dong, Daniel Kang, Shanghang Zhang, Kurt Keutzer:
Q-Diffusion: Quantizing Diffusion Models. CoRR abs/2302.04304 (2023) - [i137]Sehoon Kim, Karttikeya Mangalam, Jitendra Malik, Michael W. Mahoney, Amir Gholami, Kurt Keutzer:
Big Little Transformer Decoder. CoRR abs/2302.07863 (2023) - [i136]Sehoon Kim, Coleman Hooper, Thanakul Wattanawong, Minwoo Kang, Ruohan Yan, Hasan Genc, Grace Dinh, Qijing Huang, Kurt Keutzer, Michael W. Mahoney, Yakun Sophia Shao, Amir Gholami:
Full Stack Optimization of Transformer Inference: a Survey. CoRR abs/2302.14017 (2023) - [i135]Sheng Shen, Zhewei Yao, Chunyuan Li, Trevor Darrell, Kurt Keutzer, Yuxiong He:
Scaling Vision-Language Models with Sparse Mixture of Experts. CoRR abs/2303.07226 (2023) - [i134]Chao Xia, Chenfeng Xu, Patrick Rim, Mingyu Ding, Nanning Zheng, Kurt Keutzer, Masayoshi Tomizuka, Wei Zhan:
Quadric Representations for LiDAR Odometry, Mapping and Localization. CoRR abs/2304.14190 (2023) - [i133]Yichen Xie, Chenfeng Xu, Marie-Julie Rakotosaona, Patrick Rim, Federico Tombari, Kurt Keutzer, Masayoshi Tomizuka, Wei Zhan:
SparseFusion: Fusing Multi-Modal Sparse Representations for Multi-Sensor 3D Object Detection. CoRR abs/2304.14340 (2023) - [i132]Sheng Shen, Le Hou, Yanqi Zhou, Nan Du, Shayne Longpre, Jason Wei, Hyung Won Chung, Barret Zoph, William Fedus, Xinyun Chen, Tu Vu, Yuexin Wu, Wuyang Chen, Albert Webson, Yunxuan Li, Vincent Y. Zhao, Hongkun Yu, Kurt Keutzer, Trevor Darrell, Denny Zhou:
Flan-MoE: Scaling Instruction-Finetuned Language Models with Sparse Mixture of Experts. CoRR abs/2305.14705 (2023) - [i131]Shashank Subramanian, Peter Harrington, Kurt Keutzer, Wahid Bhimji, Dmitriy Morozov, Michael W. Mahoney, Amir Gholami:
Towards Foundation Models for Scientific Machine Learning: Characterizing Scaling and Transfer Behavior. CoRR abs/2306.00258 (2023) - [i130]Sehoon Kim, Coleman Hooper, Amir Gholami, Zhen Dong, Xiuyu Li, Sheng Shen, Michael W. Mahoney, Kurt Keutzer:
SqueezeLLM: Dense-and-Sparse Quantization. CoRR abs/2306.07629 (2023) - [i129]Chenfeng Xu, Bichen Wu, Ji Hou, Sam S. Tsai, Ruilong Li, Jialiang Wang, Wei Zhan, Zijian He, Peter Vajda, Kurt Keutzer, Masayoshi Tomizuka:
NeRF-Det: Learning Geometry-Aware Volumetric Representation for Multi-View 3D Object Detection. CoRR abs/2307.14620 (2023) - [i128]Yifan Zhang, Zhen Dong, Huanrui Yang, Ming Lu, Cheng-Ching Tseng, Yuan Du, Kurt Keutzer, Li Du, Shanghang Zhang:
QD-BEV : Quantization-aware View-guided Distillation for Multi-view 3D Object Detection. CoRR abs/2308.10515 (2023) - [i127]Zhiqing Sun, Sheng Shen, Shengcao Cao, Haotian Liu, Chunyuan Li, Yikang Shen, Chuang Gan, Liang-Yan Gui, Yu-Xiong Wang, Yiming Yang, Kurt Keutzer, Trevor Darrell:
Aligning Large Multimodal Models with Factually Augmented RLHF. CoRR abs/2309.14525 (2023) - [i126]Bohan Zhai, Shijia Yang, Xiangchen Zhao, Chenfeng Xu, Sheng Shen, Dongdi Zhao, Kurt Keutzer, Manling Li, Tan Yan, Xiangjun Fan:
HallE-Switch: Rethinking and Controlling Object Existence Hallucinations in Large Vision Language Models for Detailed Caption. CoRR abs/2310.01779 (2023) - [i125]Zhikai Li, Xiaoxuan Liu, Banghua Zhu, Zhen Dong, Qingyi Gu, Kurt Keutzer:
QFT: Quantized Full-parameter Tuning of LLMs with Affordable Resources. CoRR abs/2310.07147 (2023) - [i124]Yiyuan Zhang, Kaixiong Gong, Xiaohan Ding, Kaipeng Zhang, Fangrui Lv, Kurt Keutzer, Xiangyu Yue:
Towards Unified and Effective Domain Generalization. CoRR abs/2310.10008 (2023) - [i123]Coleman Hooper, Sehoon Kim, Hiva Mohammadzadeh, Hasan Genc, Kurt Keutzer, Amir Gholami, Yakun Sophia Shao:
SPEED: Speculative Pipelined Execution for Efficient Decoding. CoRR abs/2310.12072 (2023) - [i122]Liangyu Chen, Bo Li, Sheng Shen, Jingkang Yang, Chunyuan Li, Kurt Keutzer, Trevor Darrell, Ziwei Liu:
Large Language Models are Visual Reasoning Coordinators. CoRR abs/2310.15166 (2023) - [i121]Jay Zhangjie Wu, Xiuyu Li, Difei Gao, Zhen Dong, Jinbin Bai, Aishani Singh, Xiaoyu Xiang, Youzeng Li, Zuwei Huang, Yuanxi Sun, Rui He, Feng Hu, Junhua Hu, Hai Huang, Hanyu Zhu, Xu Cheng, Jie Tang, Mike Zheng Shou, Kurt Keutzer, Forrest N. Iandola:
CVPR 2023 Text Guided Video Editing Competition. CoRR abs/2310.16003 (2023) - [i120]Ying Sheng, Shiyi Cao, Dacheng Li, Coleman Hooper, Nicholas Lee, Shuo Yang, Christopher Chou, Banghua Zhu, Lianmin Zheng, Kurt Keutzer, Joseph E. Gonzalez, Ion Stoica:
S-LoRA: Serving Thousands of Concurrent LoRA Adapters. CoRR abs/2311.03285 (2023) - [i119]Brian Yu, Hansen Lillemark, Kurt Keutzer:
Simple and Effective Input Reformulations for Translation. CoRR abs/2311.06696 (2023) - [i118]Chenyu Wang, Zhen Dong, Daquan Zhou, Zhenhua Zhu, Yu Wang, Jiashi Feng, Kurt Keutzer:
EPIM: Efficient Processing-In-Memory Accelerators based on Epitome. CoRR abs/2311.07620 (2023) - [i117]Lin Xu, Zhiyuan Hu, Daquan Zhou, Hongyu Ren, Zhen Dong, Kurt Keutzer, See-Kiong Ng, Jiashi Feng:
MAgIC: Investigation of Large Language Model Powered Multi-Agent in Cognition, Adaptability, Rationality and Collaboration. CoRR abs/2311.08562 (2023) - [i116]Sehoon Kim, Suhong Moon, Ryan Tabrizi, Nicholas Lee, Michael W. Mahoney, Kurt Keutzer, Amir Gholami:
An LLM Compiler for Parallel Function Calling. CoRR abs/2312.04511 (2023) - [i115]Anthony Chen, Huanrui Yang, Yulu Gan, Denis A. Gudovskiy, Zhen Dong, Haofan Wang, Tomoyuki Okuno, Yohei Nakata, Shanghang Zhang, Kurt Keutzer:
Split-Ensemble: Efficient OOD-aware Ensemble via Task and Model Splitting. CoRR abs/2312.09148 (2023) - [i114]Akio Kodaira, Chenfeng Xu, Toshiki Hazama, Takanori Yoshimoto, Kohei Ohno, Shogo Mitsuhori, Soichi Sugano, Hanying Cho, Zhijian Liu, Kurt Keutzer:
StreamDiffusion: A Pipeline-level Solution for Real-time Interactive Generation. CoRR abs/2312.12491 (2023) - [i113]Rongyu Zhang, Yulin Luo, Jiaming Liu, Huanrui Yang, Zhen Dong, Denis A. Gudovskiy, Tomoyuki Okuno, Yohei Nakata, Kurt Keutzer, Yuan Du, Shanghang Zhang:
Efficient Deweather Mixture-of-Experts with Uncertainty-aware Feature-wise Linear Modulation. CoRR abs/2312.16610 (2023) - 2022
- [j65]Sicheng Zhao, Xingxu Yao, Jufeng Yang, Guoli Jia, Guiguang Ding, Tat-Seng Chua, Björn W. Schuller, Kurt Keutzer:
Affective Image Content Analysis: Two Decades Review and New Perspectives. IEEE Trans. Pattern Anal. Mach. Intell. 44(10): 6729-6751 (2022) - [j64]Sicheng Zhao, Xuanbai Chen, Xiangyu Yue, Chuang Lin, Pengfei Xu, Ravi Krishna, Jufeng Yang, Guiguang Ding, Alberto L. Sangiovanni-Vincentelli, Kurt Keutzer:
Emotional Semantics-Preserved and Feature-Aligned CycleGAN for Visual Emotion Adaptation. IEEE Trans. Cybern. 52(10): 10000-10013 (2022) - [j63]Sicheng Zhao, Xiangyu Yue, Shanghang Zhang, Bo Li, Han Zhao, Bichen Wu, Ravi Krishna, Joseph E. Gonzalez, Alberto L. Sangiovanni-Vincentelli, Sanjit A. Seshia, Kurt Keutzer:
A Review of Single-Source Deep Unsupervised Visual Domain Adaptation. IEEE Trans. Neural Networks Learn. Syst. 33(2): 473-493 (2022) - [c204]Bo Li, Yifei Shen, Yezhen Wang, Wenzhen Zhu, Colorado Reed, Dongsheng Li, Kurt Keutzer, Han Zhao:
Invariant Information Bottleneck for Domain Generalization. AAAI 2022: 7399-7407 - [c203]Chenfeng Xu, Tian Li, Chen Tang, Lingfeng Sun, Kurt Keutzer, Masayoshi Tomizuka, Alireza Fathi, Wei Zhan:
PreTraM: Self-supervised Pre-training via Connecting Trajectory and Map. ECCV (39) 2022: 34-50 - [c202]Jinze Yu, Jiaming Liu, Xiaobao Wei, Haoyi Zhou, Yohei Nakata, Denis A. Gudovskiy, Tomoyuki Okuno, Jianxin Li, Kurt Keutzer, Shanghang Zhang:
MTTrans: Cross-domain Object Detection with Mean Teacher Transformer. ECCV (9) 2022: 629-645 - [c201]Chenfeng Xu, Shijia Yang, Tomer Galanti, Bichen Wu, Xiangyu Yue, Bohan Zhai, Wei Zhan, Peter Vajda, Kurt Keutzer, Masayoshi Tomizuka:
Image2Point: 3D Point-Cloud Understanding with 2D Image Pretrained Models. ECCV (37) 2022: 638-656 - [c200]Sehoon Kim, Amir Gholami, Zhewei Yao, Nicholas Lee, Patrick Wang, Aniruddha Nrusimha, Bohan Zhai, Tianren Gao, Michael W. Mahoney, Kurt Keutzer:
Integer-Only Zero-Shot Quantization for Efficient Speech Recognition. ICASSP 2022: 4288-4292 - [c199]Sheng Shen, Liunian Harold Li, Hao Tan, Mohit Bansal, Anna Rohrbach, Kai-Wei Chang, Zhewei Yao, Kurt Keutzer:
How Much Can CLIP Benefit Vision-and-Language Tasks? ICLR 2022 - [c198]Sheng Shen, Pete Walsh, Kurt Keutzer, Jesse Dodge, Matthew E. Peters, Iz Beltagy:
Staged Training for Transformer Language Models. ICML 2022: 19893-19908 - [c197]Minzhe Liu, Qiang Zhou, Hengshuang Zhao, Jianing Li, Yuan Du, Kurt Keutzer, Li Du, Shanghang Zhang:
Prototype-Voxel Contrastive Learning for LiDAR Point Cloud Panoptic Segmentation. ICRA 2022: 9243-9250 - [c196]Tian Li, Xiang Chen, Zhen Dong, Kurt Keutzer, Shanghang Zhang:
Domain-Adaptive Text Classification with Structured Knowledge from Unlabeled Data. IJCAI 2022: 4216-4222 - [c195]Sehoon Kim, Sheng Shen, David Thorsley, Amir Gholami, Woosuk Kwon, Joseph Hassoun, Kurt Keutzer:
Learned Token Pruning for Transformers. KDD 2022: 784-794 - [c194]Sehoon Kim, Amir Gholami, Albert E. Shaw, Nicholas Lee, Karttikeya Mangalam, Jitendra Malik, Michael W. Mahoney, Kurt Keutzer:
Squeezeformer: An Efficient Transformer for Automatic Speech Recognition. NeurIPS 2022 - [c193]Woosuk Kwon, Sehoon Kim, Michael W. Mahoney, Joseph Hassoun, Kurt Keutzer, Amir Gholami:
A Fast Post-Training Pruning Framework for Transformers. NeurIPS 2022 - [c192]Sheng Shen, Chunyuan Li, Xiaowei Hu, Yujia Xie, Jianwei Yang, Pengchuan Zhang, Zhe Gan, Lijuan Wang, Lu Yuan, Ce Liu, Kurt Keutzer, Trevor Darrell, Anna Rohrbach, Jianfeng Gao:
K-LITE: Learning Transferable Visual Models with External Knowledge. NeurIPS 2022 - [c191]Colorado J. Reed, Xiangyu Yue, Ani Nrusimha, Sayna Ebrahimi, Vivek Vijaykumar, Richard Mao, Bo Li, Shanghang Zhang, Devin Guillory, Sean Metzger, Kurt Keutzer, Trevor Darrell:
Self-Supervised Pretraining Improves Self-Supervised Pretraining. WACV 2022: 1050-1060 - [c190]Shixing Yu, Zhewei Yao, Amir Gholami, Zhen Dong, Sehoon Kim, Michael W. Mahoney, Kurt Keutzer:
Hessian-Aware Pruning and Optimal Neural Implant. WACV 2022: 3665-3676 - [i112]Sheng Shen, Pete Walsh, Kurt Keutzer, Jesse Dodge, Matthew E. Peters, Iz Beltagy:
Staged Training for Transformer Language Models. CoRR abs/2203.06211 (2022) - [i111]Sheng Shen, Chunyuan Li, Xiaowei Hu, Yujia Xie, Jianwei Yang, Pengchuan Zhang, Anna Rohrbach, Zhe Gan, Lijuan Wang, Lu Yuan, Ce Liu, Kurt Keutzer, Trevor Darrell, Jianfeng Gao:
K-LITE: Learning Transferable Visual Models with External Knowledge. CoRR abs/2204.09222 (2022) - [i110]Woosuk Kwon, Sehoon Kim, Michael W. Mahoney, Joseph Hassoun, Kurt Keutzer, Amir Gholami:
A Fast Post-Training Pruning Framework for Transformers. CoRR abs/2204.09656 (2022) - [i109]Chenfeng Xu, Tian Li, Chen Tang, Lingfeng Sun, Kurt Keutzer, Masayoshi Tomizuka, Alireza Fathi, Wei Zhan:
PreTraM: Self-Supervised Pre-training via Connecting Trajectory and Map. CoRR abs/2204.10435 (2022) - [i108]Jinze Yu, Jiaming Liu, Xiaobao Wei, Haoyi Zhou, Yohei Nakata, Denis A. Gudovskiy, Tomoyuki Okuno, Jianxin Li, Kurt Keutzer, Shanghang Zhang:
Cross-Domain Object Detection with Mean-Teacher Transformer. CoRR abs/2205.01643 (2022) - [i107]Zhen Dong, Kaicheng Zhou, Guohao Li, Qiang Zhou, Mingfei Guo, Bernard Ghanem, Kurt Keutzer, Shanghang Zhang:
UnrealNAS: Can We Search Neural Architectures with Unreal Data? CoRR abs/2205.02162 (2022) - [i106]Sehoon Kim, Amir Gholami, Albert E. Shaw, Nicholas Lee, Karttikeya Mangalam, Jitendra Malik, Michael W. Mahoney, Kurt Keutzer:
Squeezeformer: An Efficient Transformer for Automatic Speech Recognition. CoRR abs/2206.00888 (2022) - [i105]