FBNetV5: Neural Architecture Search for Multiple Tasks in One Run
Fuente:
arXiv
Saved in:
| Main Authors: | Wu, Bichen, Li, Chaojian, Zhang, Hang, Dai, Xiaoliang, Zhang, Peizhao, Yu, Matthew, Wang, Jialiang, Lin, Yingyan Celine, Vajda, Peter |
|---|---|
| Format: | Preprint |
| Published: |
2021
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
INGeo: Accelerating Instant Neural Scene Reconstruction with Noisy Geometry Priors
by: Li, Chaojian, et al.
Published: (2022)
by: Li, Chaojian, et al.
Published: (2022)
MixRT: Mixed Neural Representations For Real-Time NeRF Rendering
by: Li, Chaojian, et al.
Published: (2023)
by: Li, Chaojian, et al.
Published: (2023)
Castling-ViT: Compressing Self-Attention via Switching Towards Linear-Angular Attention at Vision Transformer Inference
by: You, Haoran, et al.
Published: (2022)
by: You, Haoran, et al.
Published: (2022)
ERSAM: Neural Architecture Search For Energy-Efficient and Real-Time Social Ambiance Measurement
by: Li, Chaojian, et al.
Published: (2023)
by: Li, Chaojian, et al.
Published: (2023)
HW-NAS-Bench:Hardware-Aware Neural Architecture Search Benchmark
by: Li, Chaojian, et al.
Published: (2021)
by: Li, Chaojian, et al.
Published: (2021)
Auto-CARD: Efficient and Robust Codec Avatar Driving for Real-time Mobile Telepresence
by: Fu, Yonggan, et al.
Published: (2023)
by: Fu, Yonggan, et al.
Published: (2023)
A3C-S: Automated Agent Accelerator Co-Search towards Efficient Deep Reinforcement Learning
by: Fu, Yonggan, et al.
Published: (2021)
by: Fu, Yonggan, et al.
Published: (2021)
An Analysis on Quantizing Diffusion Transformers
by: Yang, Yuewei, et al.
Published: (2024)
by: Yang, Yuewei, et al.
Published: (2024)
Uni-Render: A Unified Accelerator for Real-Time Rendering Across Diverse Neural Renderers
by: Li, Chaojian, et al.
Published: (2025)
by: Li, Chaojian, et al.
Published: (2025)
Auto-Agent-Distiller: Towards Efficient Deep Reinforcement Learning Agents via Neural Architecture Search
by: Fu, Yonggan, et al.
Published: (2020)
by: Fu, Yonggan, et al.
Published: (2020)
Cache Me if You Can: Accelerating Diffusion Models through Block Caching
by: Wimbauer, Felix, et al.
Published: (2023)
by: Wimbauer, Felix, et al.
Published: (2023)
RT-NeRF: Real-Time On-Device Neural Radiance Fields Towards Immersive AR/VR Rendering
by: Li, Chaojian, et al.
Published: (2022)
by: Li, Chaojian, et al.
Published: (2022)
FlowVid: Taming Imperfect Optical Flows for Consistent Video-to-Video Synthesis
by: Liang, Feng, et al.
Published: (2023)
by: Liang, Feng, et al.
Published: (2023)
DNA: Differentiable Network-Accelerator Co-Search
by: Zhang, Yongan, et al.
Published: (2020)
by: Zhang, Yongan, et al.
Published: (2020)
Omni-Recon: Harnessing Image-based Rendering for General-Purpose Neural Radiance Fields
by: Fu, Yonggan, et al.
Published: (2024)
by: Fu, Yonggan, et al.
Published: (2024)
SuperTickets: Drawing Task-Agnostic Lottery Tickets from Supernets via Jointly Architecture Searching and Parameter Pruning
by: You, Haoran, et al.
Published: (2022)
by: You, Haoran, et al.
Published: (2022)
2-in-1 Accelerator: Enabling Random Precision Switch for Winning Both Adversarial Robustness and Efficiency
by: Fu, Yonggan, et al.
Published: (2021)
by: Fu, Yonggan, et al.
Published: (2021)
Scaling Laws of Graph Neural Networks for Atomistic Materials Modeling
by: Li, Chaojian, et al.
Published: (2025)
by: Li, Chaojian, et al.
Published: (2025)
Auto-NBA: Efficient and Effective Search Over the Joint Space of Networks, Bitwidths, and Accelerators
by: Fu, Yonggan, et al.
Published: (2021)
by: Fu, Yonggan, et al.
Published: (2021)
ShiftAddNAS: Hardware-Inspired Search for More Accurate and Efficient Neural Networks
by: You, Haoran, et al.
Published: (2022)
by: You, Haoran, et al.
Published: (2022)
Multi-Task Neural Architecture Search Using Architecture Embedding and Transfer Rank
by: Zhang, TingJie, et al.
Published: (2025)
by: Zhang, TingJie, et al.
Published: (2025)
LinGen: Towards High-Resolution Minute-Length Text-to-Video Generation with Linear Computational Complexity
by: Wang, Hongjie, et al.
Published: (2024)
by: Wang, Hongjie, et al.
Published: (2024)
GPT4AIGChip: Towards Next-Generation AI Accelerator Design Automation via Large Language Models
by: Fu, Yonggan, et al.
Published: (2023)
by: Fu, Yonggan, et al.
Published: (2023)
ShiftAddNet: A Hardware-Inspired Deep Network
by: You, Haoran, et al.
Published: (2020)
by: You, Haoran, et al.
Published: (2020)
DANCE: DAta-Network Co-optimization for Efficient Segmentation Model Training and Inference
by: Li, Chaojian, et al.
Published: (2021)
by: Li, Chaojian, et al.
Published: (2021)
Llama Learns to Direct: DirectorLLM for Human-Centric Video Generation
by: Song, Kunpeng, et al.
Published: (2024)
by: Song, Kunpeng, et al.
Published: (2024)
ShiftAddViT: Mixture of Multiplication Primitives Towards Efficient Vision Transformer
by: You, Haoran, et al.
Published: (2023)
by: You, Haoran, et al.
Published: (2023)
Instant-3D: Instant Neural Radiance Field Training Towards On-Device AR/VR 3D Reconstruction
by: Li, Sixu, et al.
Published: (2023)
by: Li, Sixu, et al.
Published: (2023)
NASRec: Weight Sharing Neural Architecture Search for Recommender Systems
by: Zhang, Tunhou, et al.
Published: (2022)
by: Zhang, Tunhou, et al.
Published: (2022)
InstantNet: Automated Generation and Deployment of Instantaneously Switchable-Precision Networks
by: Fu, Yonggan, et al.
Published: (2021)
by: Fu, Yonggan, et al.
Published: (2021)
ViTCoD: Vision Transformer Acceleration via Dedicated Algorithm and Accelerator Co-Design
by: You, Haoran, et al.
Published: (2022)
by: You, Haoran, et al.
Published: (2022)
AVID: Any-Length Video Inpainting with Diffusion Model
by: Zhang, Zhixing, et al.
Published: (2023)
by: Zhang, Zhixing, et al.
Published: (2023)
FracTrain: Fractionally Squeezing Bit Savings Both Temporally and Spatially for Efficient DNN Training
by: Fu, Yonggan, et al.
Published: (2020)
by: Fu, Yonggan, et al.
Published: (2020)
Movie Weaver: Tuning-Free Multi-Concept Video Personalization with Anchored Prompts
by: Liang, Feng, et al.
Published: (2025)
by: Liang, Feng, et al.
Published: (2025)
Early-Bird Diffusion: Investigating and Leveraging Timestep-Aware Early-Bird Tickets in Diffusion Models for Efficient Training
by: Whalen, Lexington, et al.
Published: (2025)
by: Whalen, Lexington, et al.
Published: (2025)
From Inference Efficiency to Embodied Efficiency: Revisiting Efficiency Metrics for Vision-Language-Action Models
by: Li, Zhuofan, et al.
Published: (2026)
by: Li, Zhuofan, et al.
Published: (2026)
NeRFool: Uncovering the Vulnerability of Generalizable Neural Radiance Fields against Adversarial Perturbations
by: Fu, Yonggan, et al.
Published: (2023)
by: Fu, Yonggan, et al.
Published: (2023)
AutoGAN-Distiller: Searching to Compress Generative Adversarial Networks
by: Fu, Yonggan, et al.
Published: (2020)
by: Fu, Yonggan, et al.
Published: (2020)
Gaussian Blending Unit: An Edge GPU Plug-in for Real-Time Gaussian-Based Rendering in AR/VR
by: Ye, Zhifan, et al.
Published: (2025)
by: Ye, Zhifan, et al.
Published: (2025)
Gaussians on a Diet: High-Quality Memory-Bounded 3D Gaussian Splatting Training
by: Zhang, Yangming, et al.
Published: (2026)
by: Zhang, Yangming, et al.
Published: (2026)
Similar Items
-
INGeo: Accelerating Instant Neural Scene Reconstruction with Noisy Geometry Priors
by: Li, Chaojian, et al.
Published: (2022) -
MixRT: Mixed Neural Representations For Real-Time NeRF Rendering
by: Li, Chaojian, et al.
Published: (2023) -
Castling-ViT: Compressing Self-Attention via Switching Towards Linear-Angular Attention at Vision Transformer Inference
by: You, Haoran, et al.
Published: (2022) -
ERSAM: Neural Architecture Search For Energy-Efficient and Real-Time Social Ambiance Measurement
by: Li, Chaojian, et al.
Published: (2023) -
HW-NAS-Bench:Hardware-Aware Neural Architecture Search Benchmark
by: Li, Chaojian, et al.
Published: (2021)