← Authors

Kurt Keutzer

102 papers · 2016–2026 · 14 conferences · across top CS/AI conferences

Achievements

🐣 Hot Topic Early Bird 🌈 Renaissance Researcher (5) πŸŒ‰ Interdisciplinary Bridge πŸ—ΊοΈ Taxonomy Completionist (10) 🧭 Keyword Pioneer 🌍 Conference Polyglot (14) πŸƒ Academic Marathon (10) 🐝 Cross-Pollinator (11) πŸ† Grand Slam πŸ‘‘ Triple Crown πŸ† Keyword Champion (2) πŸ‘₯ Mega-Team (20) 🀝 Dynamic Duo (26) πŸ”¬ Deep Specialist (19) 🧬 Topic Evolution πŸ“ˆ Trend Setter πŸ’Ž Century Club (102) πŸ—ƒοΈ Keyword Collector (364) πŸ”₯ Unstoppable (9) ❓ The Questioner (4) ⚑ Prolific Year (19) πŸš€ Conference Pioneer

Conferences

CVPR (15) NIPS (15) ICML (14) ICCV (11) AAAI (9) EMNLP (9) ICLR (8) ECCV (5) ACL (4) IJCAI (4) WACV (4) CORL (2) IJCNLP (1) NAACL (1)

Top co-authors

Amir Gholami (26) Michael W. Mahoney (20) Chenfeng Xu (20) Sheng Shen (17) Masayoshi Tomizuka (17) Zhen Dong (16) Zhewei Yao (16) Shanghang Zhang (15) Sehoon Kim (13) Trevor Darrell (13)

Keywords

model compression (14) neural network optimization (9) large language model (8) domain adaptation (7) neural network (7) transfer learning (6) diffusion model (6) inference efficiency (5) autonomous driving (5) transformer architecture (5) machine translation (5) knowledge distillation (5) model quantization (4) object detection (4) mixed-precision quantization (4) data augmentation (4) multimodal learning (4) efficient computing (4) image generation (4) neural network quantization (4)

Papers

ODEt(ODEl): Shortcutting the Time and the Length in Diffusion and Flow Models for Faster Sampling WACV 2026
Segment Any Motion in Videos CVPR 2025
DeSiRe-GS: 4D Street Gaussians for Static-Dynamic Decomposition and Surface Reconstruction for Urban Driving Scenes CVPR 2025
K-Sort Arena: Efficient and Reliable Benchmarking for Generative Models via K-wise Human Preferences CVPR 2025
Sparse Video-Gen: Accelerating Video Diffusion Transformers with Spatial-Temporal Sparsity ICML 2025
QuantSpec: Self-Speculative Decoding with Hierarchical Quantized KV Cache ICML 2025
SparseLoRA: Accelerating LLM Fine-Tuning with Contextual Sparsity ICML 2025
Plan-and-Act: Improving Planning of Agents for Long-Horizon Tasks ICML 2025
SparseVLM: Visual Token Sparsification for Efficient Vision-Language Model Inference ICML 2025
MITRA-zh-eval: Using a Buddhist Chinese Language Evaluation Dataset to Assess Machine Translation and Evaluation Metrics NAACL 2025
UniDrive: Towards Universal Driving Perception Across Camera Configurations ICLR 2025
COAT: Compressing Optimizer states and Activations for Memory-Efficient FP8 Training ICLR 2025
Dobi-SVD: Differentiable SVD for LLM Compression and Some New Perspectives ICLR 2025
Looking Backward: Streaming Video-to-Video Translation with Feature Banks ICLR 2025
A Lesson in Splats: Teacher-Guided Diffusion for 3D Gaussian Splats Generation with 2D Supervision ICCV 2025
Squeezed Attention: Accelerating Long Context Length LLM Inference ACL 2025
StreamDiffusion: A Pipeline-level Solution for Real-Time Interactive Generation ICCV 2025
S*: Test Time Scaling for Code Generation EMNLP 2025
Bridging Viewpoint Gaps: Geometric Reasoning Boosts Semantic Correspondence CVPR 2025
Split-Ensemble: Efficient OOD-aware Ensemble via Task and Model Splitting ICML 2024
LLoCO: Learning Long Contexts Offline EMNLP 2024
MAgIC: Investigation of Large Language Model Powered Multi-Agent in Cognition, Adaptability, Rationality and Collaboration EMNLP 2024
Sparse Refinement for Efficient High-Resolution Semantic Segmentation ECCV 2024
One Model is All You Need: ByT5-Sanskrit, a Unified Model for Sanskrit NLP Tasks EMNLP 2024
Mixture-of-Experts Meets Instruction Tuning: A Winning Combination for Large Language Models ICLR 2024
Efficient Deweahter Mixture-of-Experts with Uncertainty-Aware Feature-Wise Linear Modulation AAAI 2024
TinyAgent: Function Calling at the Edge EMNLP 2024
LLM2LLM: Boosting LLMs with Novel Iterative Data Enhancement ACL 2024
PromptCoT: Align Prompt Distribution via Adapted Chain-of-Thought CVPR 2024
Multitask Vision-Language Prompt Tuning WACV 2024
Aligning Large Multimodal Models with Factually Augmented RLHF ACL 2024
KVQuant: Towards 10 Million Context Length LLM Inference with KV Cache Quantization NIPS 2024
Immiscible Diffusion: Accelerating Diffusion Training with Noise Assignment NIPS 2024
Sharpness-diversity tradeoff: improving flat ensembles with SharpBalance NIPS 2024
RoVi-Aug: Robot and Viewpoint Augmentation for Cross-Embodiment Robot Learning CORL 2024
Q-SLAM: Quadric Representations for Monocular SLAM CORL 2024
An LLM Compiler for Parallel Function Calling ICML 2024
SqueezeLLM: Dense-and-Sparse Quantization ICML 2024
Open-Vocabulary Point-Cloud Object Detection Without 3D Annotation CVPR 2023
Speculative Decoding with Big Little Decoder NIPS 2023
Large Language Models are Visual Reasoning Coordinators NIPS 2023
Towards Foundation Models for Scientific Machine Learning: Characterizing Scaling and Transfer Behavior NIPS 2023
NoisyQuant: Noisy Bias-Enhanced Post-Training Activation Quantization for Vision Transformers CVPR 2023
Simple and Effective Input Reformulations for Translation EMNLP 2023
Scaling Vision-Language Models with Sparse Mixture of Experts EMNLP 2023
NeRF-Det: Learning Geometry-Aware Volumetric Representation for Multi-View 3D Object Detection ICCV 2023
Q-Diffusion: Quantizing Diffusion Models ICCV 2023
SparseFusion: Fusing Multi-Modal Sparse Representations for Multi-Sensor 3D Object Detection ICCV 2023
Scale-MAE: A Scale-Aware Masked Autoencoder for Multiscale Geospatial Representation Learning ICCV 2023
QD-BEV : Quantization-aware View-guided Distillation for Multi-view 3D Object Detection ICCV 2023
Time Will Tell: New Outlooks and A Baseline for Temporal Multi-View 3D Object Detection ICLR 2023
Image2Point: 3D Point-Cloud Understanding with 2D Image Pretrained Models ECCV 2022
Invariant Information Bottleneck for Domain Generalization AAAI 2022
Hessian-Aware Pruning and Optimal Neural Implant WACV 2022
Self-Supervised Pretraining Improves Self-Supervised Pretraining WACV 2022
How Much Can CLIP Benefit Vision-and-Language Tasks? ICLR 2022
MTTrans: Cross-Domain Object Detection with Mean Teacher Transformer ECCV 2022
Squeezeformer: An Efficient Transformer for Automatic Speech Recognition NIPS 2022
K-LITE: Learning Transferable Visual Models with External Knowledge NIPS 2022
A Fast Post-Training Pruning Framework for Transformers NIPS 2022
Staged Training for Transformer Language Models ICML 2022
Domain-Adaptive Text Classification with Structured Knowledge from Unlabeled Data IJCAI 2022
PreTraM: Self-Supervised Pre-training via Connecting Trajectory and Map ECCV 2022
What’s Hidden in a One-layer Randomly Weighted Transformer? EMNLP 2021
Prototypical Cross-Domain Self-Supervised Learning for Few-Shot Unsupervised Domain Adaptation CVPR 2021
Region Similarity Representation Learning ICCV 2021
Visual Transformers: Where Do Transformers Really Belong in Vision Models? ICCV 2021
Reservoir Transformers IJCNLP 2021
Reservoir Transformers ACL 2021
ADAHESSIAN: An Adaptive Second Order Optimizer for Machine Learning AAAI 2021
ePointDA: An End-to-End Simulation-to-Real Domain Adaptation Framework for LiDAR Point Cloud Segmentation AAAI 2021
I-BERT: Integer-only BERT Quantization ICML 2021
HAWQ-V3: Dyadic Neural Network Quantization ICML 2021
NovelD: A Simple yet Effective Exploration Criterion NIPS 2021
SelfAugment: Automatic Augmentation Policies for Self-Supervised Learning CVPR 2021
Learning Invariant Representations and Risks for Semi-Supervised Domain Adaptation CVPR 2021
Multi-Source Distilling Domain Adaptation AAAI 2020
Q-BERT: Hessian Based Ultra Low Precision Quantization of BERT AAAI 2020
Train Big, Then Compress: Rethinking Model Size for Efficient Training and Inference of Transformers ICML 2020
PowerNorm: Rethinking Batch Normalization in Transformers ICML 2020
ZeroQ: A Novel Zero Shot Quantization Framework CVPR 2020
Inefficiency of K-FAC for Large Batch Size Training AAAI 2020
An End-to-End Visual-Audio Attention Network for Emotion Recognition in User-Generated Videos AAAI 2020
HAWQ-V2: Hessian Aware trace-Weighted Quantization of Neural Networks NIPS 2020
Large Batch Optimization for Deep Learning: Training BERT in 76 minutes ICLR 2020
Boundary thickness and robustness in learning models NIPS 2020
SqueezeBERT: What can computer vision teach NLP about efficient neural networks? EMNLP 2020
SqueezeSegV3: Spatially-Adaptive Convolution for Efficient Point-Cloud Segmentation ECCV 2020
HAWQ: Hessian AWare Quantization of Neural Networks With Mixed-Precision ICCV 2019
FBNet: Hardware-Aware Efficient ConvNet Design via Differentiable Neural Architecture Search CVPR 2019
ANODE: Unconditionally Accurate Memory-Efficient Gradients for Neural ODEs IJCAI 2019
Multi-source Domain Adaptation for Semantic Segmentation NIPS 2019
Trust Region Based Adversarial Attack on Neural Networks CVPR 2019
Domain Randomization and Pyramid Consistency: Simulation-to-Real Generalization Without Accessing Target Domain Data ICCV 2019
ANODEV2: A Coupled Neural ODE Framework NIPS 2019
CycleEmotionGAN: Emotional Semantic Consistency Preserved CycleGAN for Adapting Image Emotions AAAI 2019
Shift: A Zero FLOP, Zero Parameter Alternative to Spatial Convolutions CVPR 2018
Regret Minimization for Partially Observable Deep Reinforcement Learning ICML 2018
Counterexample-Guided Data Augmentation IJCAI 2018
Affective Image Content Analysis: A Comprehensive Survey IJCAI 2018
Hessian-based Analysis of Large Batch Training and Robustness to Adversaries NIPS 2018
FireCaffe: Near-Linear Acceleration of Deep Neural Network Training on Compute Clusters CVPR 2016