Keutzer, Kurt

109 publications

ICLR 2026 K-Sort Eval: Efficient Preference Evaluation for Visual Generation via Corrected VLM-as-a-Judge Zhikai Li, Jiatong Li, Xuewen Liu, Wangbo Zhao, Pan Du, Kaicheng Zhou, Qingyi Gu, Yang You, Zhen Dong, Kurt Keutzer

ICCV 2025 A Lesson in Splats: Teacher-Guided Diffusion for 3D Gaussian Splats Generation with 2D Supervision Chensheng Peng, Ido Sobol, Masayoshi Tomizuka, Kurt Keutzer, Chenfeng Xu, Or Litany

NeurIPS 2025 Angles Don’t Lie: Unlocking Training‑Efficient RL Through the Model’s Own Signals Qinsi Wang, Jinghan Ke, Hancheng Ye, Yueqian Lin, Yuzhe Fu, Jianyi Zhang, Kurt Keutzer, Chenfeng Xu, Yiran Chen

CVPR 2025 Bridging Viewpoint Gaps: Geometric Reasoning Boosts Semantic Correspondence Qiyang Qian, Hansheng Chen, Masayoshi Tomizuka, Kurt Keutzer, Qianqian Wang, Chenfeng Xu

ICLR 2025 COAT: Compressing Optimizer States and Activations for Memory-Efficient FP8 Training Haocheng Xi, Han Cai, Ligeng Zhu, Yao Lu, Kurt Keutzer, Jianfei Chen, Song Han

CVPR 2025 DeSiRe-GS: 4D Street Gaussians for Static-Dynamic Decomposition and Surface Reconstruction for Urban Driving Scenes Chensheng Peng, Chengwei Zhang, Yixiao Wang, Chenfeng Xu, Yichen Xie, Wenzhao Zheng, Kurt Keutzer, Masayoshi Tomizuka, Wei Zhan

ICLR 2025 Dobi-SVD: Differentiable SVD for LLM Compression and Some New Perspectives Wang Qinsi, Jinghan Ke, Masayoshi Tomizuka, Kurt Keutzer, Chenfeng Xu

NeurIPS 2025 DrivingRecon: Large 4D Gaussian Reconstruction Model for Autonomous Driving Hao Lu, Tianshuo Xu, Wenzhao Zheng, Yunpeng Zhang, Wei Zhan, Dalong Du, Masayoshi Tomizuka, Kurt Keutzer, Ying-Cong Chen

CVPR 2025 K-Sort Arena: Efficient and Reliable Benchmarking for Generative Models via K-Wise Human Preferences Zhikai Li, Xuewen Liu, Dongrong Joe Fu, Jianquan Li, Qingyi Gu, Kurt Keutzer, Zhen Dong

ICLR 2025 Looking Backward: Streaming Video-to-Video Translation with Feature Banks Feng Liang, Akio Kodaira, Chenfeng Xu, Masayoshi Tomizuka, Kurt Keutzer, Diana Marculescu

NeurIPS 2025 Multipole Attention for Efficient Long Context Reasoning Coleman Richard Charles Hooper, Sebastian Zhao, Luca Manolache, Sehoon Kim, Michael W. Mahoney, Sophia Shao, Kurt Keutzer, Amir Gholami

ICML 2025 Plan-and-Act: Improving Planning of Agents for Long-Horizon Tasks Lutfi Eren Erdogan, Nicholas Lee, Sehoon Kim, Suhong Moon, Hiroki Furuta, Gopala Anumanchipalli, Kurt Keutzer, Amir Gholami

ICML 2025 QuantSpec: Self-Speculative Decoding with Hierarchical Quantized KV Cache Rishabh Tiwari, Haocheng Xi, Aditya Tomar, Coleman Richard Charles Hooper, Sehoon Kim, Maxwell Horton, Mahyar Najibi, Michael W. Mahoney, Kurt Keutzer, Amir Gholami

NeurIPS 2025 Radial Attention: $\mathcal{O}(n\log N)$ Sparse Attention with Energy Decay for Long Video Generation Xingyang Li, Muyang Li, Tianle Cai, Haocheng Xi, Shuo Yang, Yujun Lin, Lvmin Zhang, Songlin Yang, Jinbo Hu, Kelly Peng, Maneesh Agrawala, Ion Stoica, Kurt Keutzer, Song Han

CVPR 2025 Segment Any Motion in Videos Nan Huang, Wenzhao Zheng, Chenfeng Xu, Kurt Keutzer, Shanghang Zhang, Angjoo Kanazawa, Qianqian Wang

ICML 2025 Sparse Video-Gen: Accelerating Video Diffusion Transformers with Spatial-Temporal Sparsity Haocheng Xi, Shuo Yang, Yilong Zhao, Chenfeng Xu, Muyang Li, Xiuyu Li, Yujun Lin, Han Cai, Jintao Zhang, Dacheng Li, Jianfei Chen, Ion Stoica, Kurt Keutzer, Song Han

NeurIPS 2025 Sparse VideoGen2: Accelerate Video Generation with Sparse Attention via Semantic-Aware Permutation Shuo Yang, Haocheng Xi, Yilong Zhao, Muyang Li, Jintao Zhang, Han Cai, Yujun Lin, Xiuyu Li, Chenfeng Xu, Kelly Peng, Jianfei Chen, Song Han, Kurt Keutzer, Ion Stoica

ICML 2025 SparseLoRA: Accelerating LLM Fine-Tuning with Contextual Sparsity Samir Khaki, Xiuyu Li, Junxian Guo, Ligeng Zhu, Konstantinos N. Plataniotis, Amir Yazdanbakhsh, Kurt Keutzer, Song Han, Zhijian Liu

ICML 2025 SparseVLM: Visual Token Sparsification for Efficient Vision-Language Model Inference Yuan Zhang, Chun-Kai Fan, Junpeng Ma, Wenzhao Zheng, Tao Huang, Kuan Cheng, Denis A Gudovskiy, Tomoyuki Okuno, Yohei Nakata, Kurt Keutzer, Shanghang Zhang

ICCV 2025 StreamDiffusion: A Pipeline-Level Solution for Real-Time Interactive Generation Akio Kodaira, Chenfeng Xu, Toshiki Hazama, Takanori Yoshimoto, Kohei Ohno, Shogo Mitsuhori, Soichi Sugano, Hanying Cho, Zhijian Liu, Masayoshi Tomizuka, Kurt Keutzer

ICLR 2025 UniDrive: Towards Universal Driving Perception Across Camera Configurations Ye Li, Wenzhao Zheng, Xiaonan Huang, Kurt Keutzer

NeurIPS 2025 Why Do Multi-Agent LLM Systems Fail? Mert Cemri, Melissa Z Pan, Shuyi Yang, Lakshya A Agrawal, Bhavya Chopra, Rishabh Tiwari, Kurt Keutzer, Aditya Parameswaran, Dan Klein, Kannan Ramchandran, Matei Zaharia, Joseph E. Gonzalez, Ion Stoica

ICLRW 2025 Why Do Multiagent Systems Fail? Melissa Z Pan, Mert Cemri, Lakshya A Agrawal, Shuyi Yang, Bhavya Chopra, Rishabh Tiwari, Kurt Keutzer, Aditya Parameswaran, Kannan Ramchandran, Dan Klein, Joseph E. Gonzalez, Matei Zaharia, Ion Stoica

ICML 2024 An LLM Compiler for Parallel Function Calling Sehoon Kim, Suhong Moon, Ryan Tabrizi, Nicholas Lee, Michael W. Mahoney, Kurt Keutzer, Amir Gholami

ICMLW 2024 Characterizing Prompt Compression Methods for Long Context Inference Siddharth Jha, Lutfi Eren Erdogan, Sehoon Kim, Kurt Keutzer, Amir Gholami

AAAI 2024 Efficient Deweahter Mixture-of-Experts with Uncertainty-Aware Feature-Wise Linear Modulation Rongyu Zhang, Yulin Luo, Jiaming Liu, Huanrui Yang, Zhen Dong, Denis A. Gudovskiy, Tomoyuki Okuno, Yohei Nakata, Kurt Keutzer, Yuan Du, Shanghang Zhang

ICMLW 2024 Fisher-Aware Quantization for DETR Detectors with Critical-Category Objectives Huanrui Yang, Yafeng Huang, Zhen Dong, Denis A Gudovskiy, Tomoyuki Okuno, Yohei Nakata, Yuan Du, Kurt Keutzer, Shanghang Zhang

NeurIPS 2024 Immiscible Diffusion: Accelerating Diffusion Training with Noise Assignment Yiheng Li, Heyang Jiang, Akio Kodaira, Masayoshi Tomizuka, Kurt Keutzer, Chenfeng Xu

NeurIPS 2024 KVQuant: Towards 10 Million Context Length LLM Inference with KV Cache Quantization Coleman Hooper, Sehoon Kim, Hiva Mohammadzadeh, Michael W. Mahoney, Yakun Sophia Shao, Kurt Keutzer, Amir Gholami

ICMLW 2024 Learned Best-Effort LLM Serving Siddharth Jha, Coleman Richard Charles Hooper, Xiaoxuan Liu, Sehoon Kim, Kurt Keutzer

ICLRW 2024 MARS: A Benchmark for Multi-LLM Algorithmic Routing System Qitian Jason Hu, Jacob Bieker, Xiuyu Li, Nan Jiang, Benjamin Keigwin, Gaurav Ranganath, Kurt Keutzer, Shriyash Kaustubh Upadhyay

ECCVW 2024 Magic-Me: Identity-Specific Video Customized Diffusion Ze Ma, Daquan Zhou, Xue-She Wang, Chun-Hsiao Yeh, Xiuyu Li, Huanrui Yang, Zhen Dong, Kurt Keutzer, Jiashi Feng

ICLRW 2024 Magic: Investigation of Large Language Model Powered Multi-Agent in Cognition, Adaptability, Rationality and Collaboration Lin Xu, Zhiyuan Hu, Daquan Zhou, Hongyu Ren, Zhen Dong, Kurt Keutzer, See-Kiong Ng, Jiashi Feng

ICLR 2024 Mixture-of-Experts Meets Instruction Tuning: A Winning Combination for Large Language Models 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

WACV 2024 Multitask Vision-Language Prompt Tuning Sheng Shen, Shijia Yang, Tianjun Zhang, Bohan Zhai, Joseph E. Gonzalez, Kurt Keutzer, Trevor Darrell

CVPR 2024 PromptCoT: Align Prompt Distribution via Adapted Chain-of-Thought Junyi Yao, Yijiang Liu, Zhen Dong, Mingfei Guo, Helan Hu, Kurt Keutzer, Li Du, Daquan Zhou, Shanghang Zhang

CoRL 2024 Q-SLAM: Quadric Representations for Monocular SLAM Chensheng Peng, Chenfeng Xu, Yue Wang, Mingyu Ding, Heng Yang, Masayoshi Tomizuka, Kurt Keutzer, Marco Pavone, Wei Zhan

CoRL 2024 RoVi-Aug: Robot and Viewpoint Augmentation for Cross-Embodiment Robot Learning Lawrence Yunliang Chen, Chenfeng Xu, Karthik Dharmarajan, Richard Cheng, Kurt Keutzer, Masayoshi Tomizuka, Quan Vuong, Ken Goldberg

ICMLW 2024 RouterBench: A Benchmark for Multi-LLM Routing System Qitian Jason Hu, Jacob Bieker, Xiuyu Li, Nan Jiang, Benjamin Keigwin, Gaurav Ranganath, Kurt Keutzer, Shriyash Kaustubh Upadhyay

NeurIPS 2024 Sharpness-Diversity Tradeoff: Improving Flat Ensembles with SharpBalance Haiquan Lu, Xiaotian Liu, Yefan Zhou, Qunli Li, Kurt Keutzer, Michael W. Mahoney, Yujun Yan, Huanrui Yang, Yaoqing Yang

ECCV 2024 Sparse Refinement for Efficient High-Resolution Semantic Segmentation Zhijian Liu, Zhuoyang Zhang, Samir Khaki, Shang Yang, Haotian Tang, Chenfeng Xu, Kurt Keutzer, Song Han

ICML 2024 Split-Ensemble: Efficient OOD-Aware Ensemble via Task and Model Splitting Anthony Chen, Huanrui Yang, Yulu Gan, Denis A Gudovskiy, Zhen Dong, Haofan Wang, Tomoyuki Okuno, Yohei Nakata, Kurt Keutzer, Shanghang Zhang

ICML 2024 SqueezeLLM: Dense-and-Sparse Quantization Sehoon Kim, Coleman Richard Charles Hooper, Amir Gholami, Zhen Dong, Xiuyu Li, Sheng Shen, Michael W. Mahoney, Kurt Keutzer

ICLRW 2023 Language Models Are Visual Reasoning Coordinators Liangyu Chen, Bo Li, Sheng Shen, Jingkang Yang, Chunyuan Li, Kurt Keutzer, Trevor Darrell, Ziwei Liu

NeurIPS 2023 Large Language Models Are Visual Reasoning Coordinators Liangyu Chen, Bo Li, Sheng Shen, Jingkang Yang, Chunyuan Li, Kurt Keutzer, Trevor Darrell, Ziwei Liu

ICCV 2023 NeRF-Det: Learning Geometry-Aware Volumetric Representation for Multi-View 3D Object Detection Chenfeng Xu, Bichen Wu, Ji Hou, Sam Tsai, Ruilong Li, Jialiang Wang, Wei Zhan, Zijian He, Peter Vajda, Kurt Keutzer, Masayoshi Tomizuka

NeurIPSW 2023 NexusRaven: A Commercially-Permissive Language Model for Function Calling Venkat Krishna Srinivasan, Zhen Dong, Banghua Zhu, Brian Yu, Damon Mosk-Aoyama, Kurt Keutzer, Jiantao Jiao, Jian Zhang

NeurIPSW 2023 NexusRaven: A Commercially-Permissive Language Model for Function Calling Venkat Krishna Srinivasan, Zhen Dong, Banghua Zhu, Brian Yu, Hanzi Mao, Damon Mosk-Aoyama, Kurt Keutzer, Jiantao Jiao, Jian Zhang

CVPR 2023 NoisyQuant: Noisy Bias-Enhanced Post-Training Activation Quantization for Vision Transformers Yijiang Liu, Huanrui Yang, Zhen Dong, Kurt Keutzer, Li Du, Shanghang Zhang

CVPR 2023 Open-Vocabulary Point-Cloud Object Detection Without 3D Annotation Yuheng Lu, Chenfeng Xu, Xiaobao Wei, Xiaodong Xie, Masayoshi Tomizuka, Kurt Keutzer, Shanghang Zhang

ICCV 2023 Q-Diffusion: Quantizing Diffusion Models Xiuyu Li, Yijiang Liu, Long Lian, Huanrui Yang, Zhen Dong, Daniel Kang, Shanghang Zhang, Kurt Keutzer

ICCV 2023 QD-BEV : Quantization-Aware View-Guided Distillation for Multi-View 3D Object Detection Yifan Zhang, Zhen Dong, Huanrui Yang, Ming Lu, Cheng-Ching Tseng, Yuan Du, Kurt Keutzer, Li Du, Shanghang Zhang

ICCV 2023 Scale-MAE: A Scale-Aware Masked Autoencoder for Multiscale Geospatial Representation Learning Colorado J Reed, Ritwik Gupta, Shufan Li, Sarah Brockman, Christopher Funk, Brian Clipp, Kurt Keutzer, Salvatore Candido, Matt Uyttendaele, Trevor Darrell

ICCV 2023 SparseFusion: Fusing Multi-Modal Sparse Representations for Multi-Sensor 3D Object Detection Yichen Xie, Chenfeng Xu, Marie-Julie Rakotosaona, Patrick Rim, Federico Tombari, Kurt Keutzer, Masayoshi Tomizuka, Wei Zhan

NeurIPS 2023 Speculative Decoding with Big Little Decoder Sehoon Kim, Karttikeya Mangalam, Suhong Moon, Jitendra Malik, Michael W. Mahoney, Amir Gholami, Kurt Keutzer

ICLR 2023 Time Will Tell: New Outlooks and a Baseline for Temporal Multi-View 3D Object Detection Jinhyung Park, Chenfeng Xu, Shijia Yang, Kurt Keutzer, Kris M. Kitani, Masayoshi Tomizuka, Wei Zhan

NeurIPS 2023 Towards Foundation Models for Scientific Machine Learning: Characterizing Scaling and Transfer Behavior Shashank Subramanian, Peter Harrington, Kurt Keutzer, Wahid Bhimji, Dmitriy Morozov, Michael W. Mahoney, Amir Gholami

NeurIPS 2022 A Fast Post-Training Pruning Framework for Transformers Woosuk Kwon, Sehoon Kim, Michael W. Mahoney, Joseph Hassoun, Kurt Keutzer, Amir Gholami

IJCAI 2022 Domain-Adaptive Text Classification with Structured Knowledge from Unlabeled Data Tian Li, Xiang Chen, Zhen Dong, Kurt Keutzer, Shanghang Zhang

WACV 2022 Hessian-Aware Pruning and Optimal Neural Implant Shixing Yu, Zhewei Yao, Amir Gholami, Zhen Dong, Sehoon Kim, Michael W. Mahoney, Kurt Keutzer

ICLR 2022 How Much Can CLIP Benefit Vision-and-Language Tasks? Sheng Shen, Liunian Harold Li, Hao Tan, Mohit Bansal, Anna Rohrbach, Kai-Wei Chang, Zhewei Yao, Kurt Keutzer

ECCV 2022 Image2Point: 3D Point-Cloud Understanding with 2D Image Pretrained Models Chenfeng Xu, Shijia Yang, Tomer Galanti, Bichen Wu, Xiangyu Yue, Bohan Zhai, Wei Zhan, Peter Vajda, Kurt Keutzer, Masayoshi Tomizuka

AAAI 2022 Invariant Information Bottleneck for Domain Generalization Bo Li, Yifei Shen, Yezhen Wang, Wenzhen Zhu, Colorado Reed, Dongsheng Li, Kurt Keutzer, Han Zhao

NeurIPS 2022 K-LITE: Learning Transferable Visual Models with External Knowledge 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

ECCV 2022 MTTrans: Cross-Domain Object Detection with Mean Teacher Transformer Jinze Yu, Jiaming Liu, Xiaobao Wei, Haoyi Zhou, Yohei Nakata, Denis Gudovskiy, Tomoyuki Okuno, Jianxin Li, Kurt Keutzer, Shanghang Zhang

ECCV 2022 PreTraM: Self-Supervised Pre-Training via Connecting Trajectory and mAP Chenfeng Xu, Tian Li, Chen Tang, Lingfeng Sun, Kurt Keutzer, Masayoshi Tomizuka, Alireza Fathi, Wei Zhan

WACV 2022 Self-Supervised Pretraining Improves Self-Supervised Pretraining 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

NeurIPS 2022 Squeezeformer: An Efficient Transformer for Automatic Speech Recognition Sehoon Kim, Amir Gholami, Albert Shaw, Nicholas Lee, Karttikeya Mangalam, Jitendra Malik, Michael W. Mahoney, Kurt Keutzer

ICML 2022 Staged Training for Transformer Language Models Sheng Shen, Pete Walsh, Kurt Keutzer, Jesse Dodge, Matthew Peters, Iz Beltagy

AAAI 2021 ADAHESSIAN: An Adaptive Second Order Optimizer for Machine Learning Zhewei Yao, Amir Gholami, Sheng Shen, Mustafa Mustafa, Kurt Keutzer, Michael W. Mahoney

ICML 2021 HAWQ-V3: Dyadic Neural Network Quantization Zhewei Yao, Zhen Dong, Zhangcheng Zheng, Amir Gholami, Jiali Yu, Eric Tan, Leyuan Wang, Qijing Huang, Yida Wang, Michael Mahoney, Kurt Keutzer

ICML 2021 I-BERT: Integer-Only BERT Quantization Sehoon Kim, Amir Gholami, Zhewei Yao, Michael W. Mahoney, Kurt Keutzer

CVPR 2021 Learning Invariant Representations and Risks for Semi-Supervised Domain Adaptation Bo Li, Yezhen Wang, Shanghang Zhang, Dongsheng Li, Kurt Keutzer, Trevor Darrell, Han Zhao

NeurIPS 2021 NovelD: A Simple yet Effective Exploration Criterion Tianjun Zhang, Huazhe Xu, Xiaolong Wang, Yi Wu, Kurt Keutzer, Joseph E Gonzalez, Yuandong Tian

CVPR 2021 Prototypical Cross-Domain Self-Supervised Learning for Few-Shot Unsupervised Domain Adaptation Xiangyu Yue, Zangwei Zheng, Shanghang Zhang, Yang Gao, Trevor Darrell, Kurt Keutzer, Alberto Sangiovanni Vincentelli

ICCV 2021 Region Similarity Representation Learning Tete Xiao, Colorado J Reed, Xiaolong Wang, Kurt Keutzer, Trevor Darrell

CVPR 2021 SelfAugment: Automatic Augmentation Policies for Self-Supervised Learning Colorado J Reed, Sean Metzger, Aravind Srinivas, Trevor Darrell, Kurt Keutzer

ICCV 2021 Visual Transformers: Where Do Transformers Really Belong in Vision Models? Bichen Wu, Chenfeng Xu, Xiaoliang Dai, Alvin Wan, Peizhao Zhang, Zhicheng Yan, Masayoshi Tomizuka, Joseph E. Gonzalez, Kurt Keutzer, Peter Vajda

AAAI 2021 ePointDA: An End-to-End Simulation-to-Real Domain Adaptation Framework for LiDAR Point Cloud Segmentation Sicheng Zhao, Yezhen Wang, Bo Li, Bichen Wu, Yang Gao, Pengfei Xu, Trevor Darrell, Kurt Keutzer

AAAI 2020 An End-to-End Visual-Audio Attention Network for Emotion Recognition in User-Generated Videos Sicheng Zhao, Yunsheng Ma, Yang Gu, Jufeng Yang, Tengfei Xing, Pengfei Xu, Runbo Hu, Hua Chai, Kurt Keutzer

NeurIPS 2020 Boundary Thickness and Robustness in Learning Models Yaoqing Yang, Rajiv Khanna, Yaodong Yu, Amir Gholami, Kurt Keutzer, Joseph E Gonzalez, Kannan Ramchandran, Michael W. Mahoney

NeurIPS 2020 HAWQ-V2: Hessian Aware Trace-Weighted Quantization of Neural Networks Zhen Dong, Zhewei Yao, Daiyaan Arfeen, Amir Gholami, Michael W. Mahoney, Kurt Keutzer

AAAI 2020 Inefficiency of K-FAC for Large Batch Size Training Linjian Ma, Gabe Montague, Jiayu Ye, Zhewei Yao, Amir Gholami, Kurt Keutzer, Michael W. Mahoney

ICLR 2020 Large Batch Optimization for Deep Learning: Training BERT in 76 Minutes Yang You, Jing Li, Sashank Reddi, Jonathan Hseu, Sanjiv Kumar, Srinadh Bhojanapalli, Xiaodan Song, James Demmel, Kurt Keutzer, Cho-Jui Hsieh

AAAI 2020 Multi-Source Distilling Domain Adaptation Sicheng Zhao, Guangzhi Wang, Shanghang Zhang, Yang Gu, Yaxian Li, Zhichao Song, Pengfei Xu, Runbo Hu, Hua Chai, Kurt Keutzer

ICML 2020 PowerNorm: Rethinking Batch Normalization in Transformers Sheng Shen, Zhewei Yao, Amir Gholami, Michael Mahoney, Kurt Keutzer

AAAI 2020 Q-BERT: Hessian Based Ultra Low Precision Quantization of BERT Sheng Shen, Zhen Dong, Jiayu Ye, Linjian Ma, Zhewei Yao, Amir Gholami, Michael W. Mahoney, Kurt Keutzer

ECCV 2020 SqueezeSegV3: Spatially-Adaptive Convolution for Efficient Point-Cloud Segmentation Chenfeng Xu, Bichen Wu, Zining Wang, Wei Zhan, Peter Vajda, Kurt Keutzer, Masayoshi Tomizuka

ICML 2020 Train Big, Then Compress: Rethinking Model Size for Efficient Training and Inference of Transformers Zhuohan Li, Eric Wallace, Sheng Shen, Kevin Lin, Kurt Keutzer, Dan Klein, Joey Gonzalez

CVPR 2020 ZeroQ: A Novel Zero Shot Quantization Framework Yaohui Cai, Zhewei Yao, Zhen Dong, Amir Gholami, Michael W. Mahoney, Kurt Keutzer

IJCAI 2019 ANODE: Unconditionally Accurate Memory-Efficient Gradients for Neural ODEs Amir Gholaminejad, Kurt Keutzer, George Biros

NeurIPS 2019 ANODEV2: A Coupled Neural ODE Framework Tianjun Zhang, Zhewei Yao, Amir Gholami, Joseph E Gonzalez, Kurt Keutzer, Michael W. Mahoney, George Biros

AAAI 2019 CycleEmotionGAN: Emotional Semantic Consistency Preserved CycleGAN for Adapting Image Emotions Sicheng Zhao, Chuang Lin, Pengfei Xu, Sendong Zhao, Yuchen Guo, Ravi Krishna, Guiguang Ding, Kurt Keutzer

ICCV 2019 Domain Randomization and Pyramid Consistency: Simulation-to-Real Generalization Without Accessing Target Domain Data Xiangyu Yue, Yang Zhang, Sicheng Zhao, Alberto Sangiovanni-Vincentelli, Kurt Keutzer, Boqing Gong

CVPR 2019 FBNet: Hardware-Aware Efficient ConvNet Design via Differentiable Neural Architecture Search Bichen Wu, Xiaoliang Dai, Peizhao Zhang, Yanghan Wang, Fei Sun, Yiming Wu, Yuandong Tian, Peter Vajda, Yangqing Jia, Kurt Keutzer

ICCV 2019 HAWQ: Hessian AWare Quantization of Neural Networks with Mixed-Precision Zhen Dong, Zhewei Yao, Amir Gholami, Michael W. Mahoney, Kurt Keutzer

NeurIPS 2019 Multi-Source Domain Adaptation for Semantic Segmentation Sicheng Zhao, Bo Li, Xiangyu Yue, Yang Gu, Pengfei Xu, Runbo Hu, Hua Chai, Kurt Keutzer

CVPR 2019 Trust Region Based Adversarial Attack on Neural Networks Zhewei Yao, Amir Gholami, Peng Xu, Kurt Keutzer, Michael W. Mahoney

IJCAI 2018 Affective Image Content Analysis: A Comprehensive Survey Sicheng Zhao, Guiguang Ding, Qingming Huang, Tat-Seng Chua, Björn W. Schuller, Kurt Keutzer

IJCAI 2018 Counterexample-Guided Data Augmentation Tommaso Dreossi, Shromona Ghosh, Xiangyu Yue, Kurt Keutzer, Alberto L. Sangiovanni-Vincentelli, Sanjit A. Seshia

NeurIPS 2018 Hessian-Based Analysis of Large Batch Training and Robustness to Adversaries Zhewei Yao, Amir Gholami, Qi Lei, Kurt Keutzer, Michael W. Mahoney

ICML 2018 Regret Minimization for Partially Observable Deep Reinforcement Learning Peter Jin, Kurt Keutzer, Sergey Levine

CVPR 2018 Shift: A Zero FLOP, Zero Parameter Alternative to Spatial Convolutions Bichen Wu, Alvin Wan, Xiangyu Yue, Peter Jin, Sicheng Zhao, Noah Golmant, Amir Gholaminejad, Joseph Gonzalez, Kurt Keutzer

CVPRW 2018 SqueezeNext: Hardware-Aware Neural Network Design Amir Gholami, Kiseok Kwon, Bichen Wu, Zizheng Tai, Xiangyu Yue, Peter H. Jin, Sicheng Zhao, Kurt Keutzer

CVPRW 2017 SqueezeDet: Unified, Small, Low Power Fully Convolutional Neural Networks for Real-Time Object Detection for Autonomous Driving Bichen Wu, Forrest N. Iandola, Peter H. Jin, Kurt Keutzer

CVPR 2016 FireCaffe: Near-Linear Acceleration of Deep Neural Network Training on Compute Clusters Forrest N. Iandola, Matthew W. Moskewicz, Khalid Ashraf, Kurt Keutzer

ECCV 2010 Dense Point Trajectories by GPU-Accelerated Large Displacement Optical Flow Narayanan Sundaram, Thomas Brox, Kurt Keutzer

ICCV 2009 Efficient, High-Quality Image Contour Detection Bryan Catanzaro, Bor-Yiing Su, Narayanan Sundaram, Yunsup Lee, Mark Murphy, Kurt Keutzer

ICML 2008 Fast Support Vector Machine Training and Classification on Graphics Processors Bryan Catanzaro, Narayanan Sundaram, Kurt Keutzer