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Kurt Keutzer

Identifiers

  • name variant Kurt Keutzer 0.60 · backfill

Papers (45)

  1. SEED: Targeted Data Selection by Weighted Independent Set cs.LG · 2026 · author #7
  2. Speculative Interaction Agents: Building Real-Time Agents with Asynchronous I/O and Speculative Tool Calling cs.LG · 2026 · author #10
  3. Learning, Fast and Slow: Towards LLMs That Adapt Continually cs.LG · 2026 · author #6
  4. Proxy3D: Efficient 3D Representations for Vision-Language Models via Semantic Clustering and Alignment cs.CV · 2026 · author #6
  5. LoSA: Locality Aware Sparse Attention for Block-Wise Diffusion Language Models cs.CL · 2026 · author #11
  6. Squeeze Evolve: Unified Multi-Model Orchestration for Verifier-Free Evolution cs.AI · 2026 · author #14
  7. Flash-KMeans: Fast and Memory-Efficient Exact K-Means cs.DC · 2026 · author #10
  8. Quant VideoGen: Auto-Regressive Long Video Generation via 2-Bit KV-Cache Quantization cs.LG · 2026 · author #16
  9. SciML Agents: Write the Solver, Not the Solution cs.LG · 2025 · author #5
  10. R3D2: Realistic 3D Asset Insertion via Diffusion for Autonomous Driving Simulation cs.CV · 2025 · author #9
  11. Sparse VideoGen2: Accelerate Video Generation with Sparse Attention via Semantic-Aware Permutation cs.CV · 2025 · author #12
  12. Why Do Multi-Agent LLM Systems Fail? cs.AI · 2025 · author #7
  13. Plan-and-Act: Improving Planning of Agents for Long-Horizon Tasks cs.CL · 2025 · author #7
  14. SparseVLM: Visual Token Sparsification for Efficient Vision-Language Model Inference cs.CV · 2024 · author #10
  15. RouterBench: A Benchmark for Multi-LLM Routing System cs.LG · 2024 · author #7
  16. Aligning Large Multimodal Models with Factually Augmented RLHF cs.CV · 2023 · author #11
  17. LATTE: Accelerating LiDAR Point Cloud Annotation via Sensor Fusion, One-Click Annotation, and Tracking cs.CV · 2019 · author #4
  18. Large Batch Optimization for Deep Learning: Training BERT in 76 minutes cs.LG · 2019 · author #9
  19. ANODE: Unconditionally Accurate Memory-Efficient Gradients for Neural ODEs cs.LG · 2019 · author #2
  20. Large-Batch Training for LSTM and Beyond cs.LG · 2019 · author #5
  21. FBNet: Hardware-Aware Efficient ConvNet Design via Differentiable Neural Architecture Search cs.CV · 2018 · author #10
  22. Mixed Precision Quantization of ConvNets via Differentiable Neural Architecture Search cs.CV · 2018 · author #6
  23. Identifying the Best Machine Learning Algorithms for Brain Tumor Segmentation, Progression Assessment, and Overall Survival Prediction in the BRATS Challenge cs.CV · 2018 · author #163
  24. A Novel Domain Adaptation Framework for Medical Image Segmentation cs.CV · 2018 · author #9
  25. SqueezeSegV2: Improved Model Structure and Unsupervised Domain Adaptation for Road-Object Segmentation from a LiDAR Point Cloud cs.CV · 2018 · author #5
  26. Counterexample-Guided Data Augmentation cs.LG · 2018 · author #4
  27. Co-Design of Deep Neural Nets and Neural Net Accelerators for Embedded Vision Applications cs.DC · 2018 · author #6
  28. A LiDAR Point Cloud Generator: from a Virtual World to Autonomous Driving cs.CV · 2018 · author #4
  29. Unsupervised Domain Adaptation: from Simulation Engine to the RealWorld cs.CV · 2018 · author #5
  30. Integrated Model, Batch and Domain Parallelism in Training Neural Networks cs.LG · 2017 · author #4
  31. Shift: A Zero FLOP, Zero Parameter Alternative to Spatial Convolutions cs.CV · 2017 · author #9
  32. Regret Minimization for Partially Observable Deep Reinforcement Learning cs.LG · 2017 · author #2
  33. SqueezeSeg: Convolutional Neural Nets with Recurrent CRF for Real-Time Road-Object Segmentation from 3D LiDAR Point Cloud cs.CV · 2017 · author #4
  34. Keynote: Small Neural Nets Are Beautiful: Enabling Embedded Systems with Small Deep-Neural-Network Architectures cs.CV · 2017 · author #2
  35. ImageNet Training in Minutes cs.CV · 2017 · author #5
  36. SqueezeDet: Unified, Small, Low Power Fully Convolutional Neural Networks for Real-Time Object Detection for Autonomous Driving cs.CV · 2016 · author #5
  37. A Metaprogramming and Autotuning Framework for Deploying Deep Learning Applications cs.NE · 2016 · author #3
  38. How to scale distributed deep learning? cs.LG · 2016 · author #4
  39. Shallow Networks for High-Accuracy Road Object-Detection cs.CV · 2016 · author #5
  40. Boda-RTC: Productive Generation of Portable, Efficient Code for Convolutional Neural Networks on Mobile Computing Platforms cs.DC · 2016 · author #3
  41. SqueezeNet: AlexNet-level accuracy with 50x fewer parameters and <0.5MB model size cs.CV · 2016 · author #6
  42. Convolutional Monte Carlo Rollouts in Go cs.LG · 2015 · author #2
  43. FireCaffe: near-linear acceleration of deep neural network training on compute clusters cs.CV · 2015 · author #4
  44. DeepLogo: Hitting Logo Recognition with the Deep Neural Network Hammer cs.CV · 2015 · author #4
  45. DenseNet: Implementing Efficient ConvNet Descriptor Pyramids cs.CV · 2014 · author #6

Mentions

  • 1904.00962 #9 · arxiv_oai · confidence 0.70 Kurt Keutzer
  • 2605.15691 #7 · arxiv_oai · confidence 0.70 Kurt Keutzer
  • 2503.09572 #7 · arxiv_oai · confidence 0.70 Kurt Keutzer
  • 2403.12031 #7 · arxiv_oai · confidence 0.70 Kurt Keutzer
  • 2309.14525 #11 · arxiv_oai · confidence 0.70 Kurt Keutzer

Frequent Coauthors