Kurt Keutzer

ORCID

Publication Activity (10 Years)

Years Active: 1987-2024
Publications (10 Years): 273

Top Venues

Publications

Yiheng Li, Heyang Jiang, Akio Kodaira, Masayoshi Tomizuka, Kurt Keutzer, Chenfeng Xu
Immiscible Diffusion: Accelerating Diffusion Training with Noise Assignment. CoRR (2024)
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 (2024)
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 (2024)
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 (2024)
Siddharth Jha, Lutfi Eren Erdogan, Sehoon Kim, Kurt Keutzer, Amir Gholami
Characterizing Prompt Compression Methods for Long Context Inference. CoRR (2024)
Nicholas Lee, Thanakul Wattanawong, Sehoon Kim, Karttikeya Mangalam, Sheng Shen, Gopala Anumanchipali, Michael W. Mahoney, Kurt Keutzer, Amir Gholami
LLM2LLM: Boosting LLMs with Novel Iterative Data Enhancement. CoRR (2024)
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 (2024)
Feng Liang, Akio Kodaira, Chenfeng Xu, Masayoshi Tomizuka, Kurt Keutzer, Diana Marculescu
Looking Backward: Streaming Video-to-Video Translation with Feature Banks. CoRR (2024)
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 (2024)
Ruijun Zhang, Xianda Guo, Wenzhao Zheng, Chenming Zhang, Kurt Keutzer, Long Chen
Instruct Large Language Models to Drive like Humans. CoRR (2024)
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)
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 (2024)
Amir Gholami, Zhewei Yao, Sehoon Kim, Coleman Hooper, Michael W. Mahoney, Kurt Keutzer
AI and Memory Wall. IEEE Micro 44 (3) (2024)
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 (2024)
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)
Sheng Shen, Shijia Yang, Tianjun Zhang, Bohan Zhai, Joseph E. Gonzalez, Kurt Keutzer, Trevor Darrell
Multitask Vision-Language Prompt Tuning. WACV (2024)
Amir Gholami, Zhewei Yao, Sehoon Kim, Coleman Hooper, Michael W. Mahoney, Kurt Keutzer
AI and Memory Wall. CoRR (2024)
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)
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)
Nan Huang, Xiaobao Wei, Wenzhao Zheng, Pengju An, Ming Lu, Wei Zhan, Masayoshi Tomizuka, Kurt Keutzer, Shanghang Zhang
Gaussian: Self-Supervised Street Gaussians for Autonomous Driving. CoRR (2024)
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 (2024)
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)
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 (2024)
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 (2024)
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 (2024)
Siddharth Jha, Coleman Hooper, Xiaoxuan Liu, Sehoon Kim, Kurt Keutzer
Learned Best-Effort LLM Serving. CoRR (2024)
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)
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 (2023)
Coleman Hooper, Sehoon Kim, Hiva Mohammadzadeh, Hasan Genc, Kurt Keutzer, Amir Gholami, Yakun Sophia Shao
SPEED: Speculative Pipelined Execution for Efficient Decoding. CoRR (2023)
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) (2023)
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)
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)
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 (2023)
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 (2023)
Sehoon Kim, Suhong Moon, Ryan Tabrizi, Nicholas Lee, Michael W. Mahoney, Kurt Keutzer, Amir Gholami
An LLM Compiler for Parallel Function Calling. CoRR (2023)
Brian Yu, Hansen Lillemark, Kurt Keutzer
Simple and Effective Input Reformulations for Translation. CoRR (2023)
Yiyuan Zhang, Kaixiong Gong, Xiaohan Ding, Kaipeng Zhang, Fangrui Lv, Kurt Keutzer, Xiangyu Yue
Towards Unified and Effective Domain Generalization. CoRR (2023)
Sheng Shen, Zhewei Yao, Chunyuan Li, Trevor Darrell, Kurt Keutzer, Yuxiong He
Scaling Vision-Language Models with Sparse Mixture of Experts. EMNLP (Findings) (2023)
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)
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)
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 (2023)
Zhikai Li, Xiaoxuan Liu, Banghua Zhu, Zhen Dong, Qingyi Gu, Kurt Keutzer
QFT: Quantized Full-parameter Tuning of LLMs with Affordable Resources. CoRR (2023)
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 (2023)
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 (2023)
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 (2023)
Yuheng Lu, Chenfeng Xu, Xiaobao Wei, Xiaodong Xie, Masayoshi Tomizuka, Kurt Keutzer, Shanghang Zhang
Open-Vocabulary Point-Cloud Object Detection without 3D Annotation. CoRR (2023)
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 (2023)
Chenyu Wang, Zhen Dong, Daquan Zhou, Zhenhua Zhu, Yu Wang, Jiashi Feng, Kurt Keutzer
EPIM: Efficient Processing-In-Memory Accelerators based on Epitome. CoRR (2023)
Xiuyu Li, Yijiang Liu, Long Lian, Huanrui Yang, Zhen Dong, Daniel Kang, Shanghang Zhang, Kurt Keutzer
Q-Diffusion: Quantizing Diffusion Models. ICCV (2023)
Shashank Subramanian, Peter Harrington, Kurt Keutzer, Wahid Bhimji, Dmitriy Morozov, Michael Mahoney, Amir Gholami
Towards Foundation Models for Scientific Machine Learning: Characterizing Scaling and Transfer Behavior. CoRR (2023)
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)
Sehoon Kim, Karttikeya Mangalam, Suhong Moon, Jitendra Malik, Michael W. Mahoney, Amir Gholami, Kurt Keutzer
Speculative Decoding with Big Little Decoder. NeurIPS (2023)
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)
Sehoon Kim, Coleman Hooper, Amir Gholami, Zhen Dong, Xiuyu Li, Sheng Shen, Michael W. Mahoney, Kurt Keutzer
SqueezeLLM: Dense-and-Sparse Quantization. CoRR (2023)
Sheng Shen, Zhewei Yao, Chunyuan Li, Trevor Darrell, Kurt Keutzer, Yuxiong He
Scaling Vision-Language Models with Sparse Mixture of Experts. CoRR (2023)
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)
Sehoon Kim, Karttikeya Mangalam, Jitendra Malik, Michael W. Mahoney, Amir Gholami, Kurt Keutzer
Big Little Transformer Decoder. CoRR (2023)
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 (2023)
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)
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)
Brian Yu, Hansen Lillemark, Kurt Keutzer
Simple and Effective Input Reformulations for Translation. EMNLP (2023)
Xiuyu Li, Long Lian, Yijiang Liu, Huanrui Yang, Zhen Dong, Daniel Kang, Shanghang Zhang, Kurt Keutzer
Q-Diffusion: Quantizing Diffusion Models. CoRR (2023)
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 (2023)
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 (2023)
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 (2023)
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 Zhao, Hongkun Yu, Kurt Keutzer, Trevor Darrell, Denny Zhou
Flan-MoE: Scaling Instruction-Finetuned Language Models with Sparse Mixture of Experts. CoRR (2023)
Liangyu Chen, Bo Li, Sheng Shen, Jingkang Yang, Chunyuan Li, Kurt Keutzer, Trevor Darrell, Ziwei Liu
Large Language Models are Visual Reasoning Coordinators. CoRR (2023)
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 (2023)
Lirui Xiao, Huanrui Yang, Zhen Dong, Kurt Keutzer, Li Du, Shanghang Zhang
CSQ: Growing Mixed-Precision Quantization Scheme with Bi-level Continuous Sparsification. CoRR (2022)
Shixing Yu, Zhewei Yao, Amir Gholami, Zhen Dong, Sehoon Kim, Michael W. Mahoney, Kurt Keutzer
Hessian-Aware Pruning and Optimal Neural Implant. WACV (2022)
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)
Sheng Shen, Pete Walsh, Kurt Keutzer, Jesse Dodge, Matthew E. Peters, Iz Beltagy
Staged Training for Transformer Language Models. ICML (2022)
Lingran Zhao, Zhen Dong, Kurt Keutzer
Analysis of Quantization on MLP-based Vision Models. CoRR (2022)
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. CoRR (2022)
Woosuk Kwon, Sehoon Kim, Michael W. Mahoney, Joseph Hassoun, Kurt Keutzer, Amir Gholami
A Fast Post-Training Pruning Framework for Transformers. NeurIPS (2022)
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 (2022)
Bo Li, Yifei Shen, Yezhen Wang, Wenzhen Zhu, Colorado Reed, Dongsheng Li, Kurt Keutzer, Han Zhao
Invariant Information Bottleneck for Domain Generalization. AAAI (2022)
Yuheng Lu, Chenfeng Xu, Xiaobao Wei, Xiaodong Xie, Masayoshi Tomizuka, Kurt Keutzer, Shanghang Zhang
Open-Vocabulary 3D Detection via Image-level Class and Debiased Cross-modal Contrastive Learning. CoRR (2022)
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)
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) (2022)
Woosuk Kwon, Sehoon Kim, Michael W. Mahoney, Joseph Hassoun, Kurt Keutzer, Amir Gholami
A Fast Post-Training Pruning Framework for Transformers. CoRR (2022)
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 (2022)
Yijiang Liu, Huanrui Yang, Zhen Dong, Kurt Keutzer, Li Du, Shanghang Zhang
NoisyQuant: Noisy Bias-Enhanced Post-Training Activation Quantization for Vision Transformers. CoRR (2022)
Kevin Miao, Akash Gokul, Raghav Singh, Suzanne Petryk, Joseph Gonzalez, Kurt Keutzer, Trevor Darrell, Colorado Reed
Prior Knowledge-Guided Attention in Self-Supervised Vision Transformers. CoRR (2022)
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)
Sheng Shen, Shijia Yang, Tianjun Zhang, Bohan Zhai, Joseph E. Gonzalez, Kurt Keutzer, Trevor Darrell
Multitask Vision-Language Prompt Tuning. CoRR (2022)
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)
Jinhyung Park, Chenfeng Xu, Shijia Yang, Kurt Keutzer, Kris Kitani, Masayoshi Tomizuka, Wei Zhan
Time Will Tell: New Outlooks and A Baseline for Temporal Multi-View 3D Object Detection. CoRR (2022)
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 (2022)
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) (2022)
Tian Li, Xiang Chen, Zhen Dong, Weijiang Yu, Yijun Yan, Kurt Keutzer, Shanghang Zhang
Domain-Adaptive Text Classification with Structured Knowledge from Unlabeled Data. CoRR (2022)
Peiyuan Liao, Xiuyu Li, Xihui Liu, Kurt Keutzer
The ArtBench Dataset: Benchmarking Generative Models with Artworks. CoRR (2022)
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) (2022)
Tian Li, Xiang Chen, Zhen Dong, Kurt Keutzer, Shanghang Zhang
Domain-Adaptive Text Classification with Structured Knowledge from Unlabeled Data. IJCAI (2022)
Sheng Shen, Pete Walsh, Kurt Keutzer, Jesse Dodge, Matthew E. Peters, Iz Beltagy
Staged Training for Transformer Language Models. CoRR (2022)
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 (2022)
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)
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 (2022)
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)
Sehoon Kim, Sheng Shen, David Thorsley, Amir Gholami, Woosuk Kwon, Joseph Hassoun, Kurt Keutzer
Learned Token Pruning for Transformers. KDD (2022)

Kurt Keutzer.css-eqlu8i{font-size:small;padding-left:4px;}

Publication Activity (10 Years)

Top Topics

Top Venues

Kurt Keutzer