Image de couverture de livre

ShiftAddAug: Augment Multiplication-Free Tiny Neural Network with Hybrid Computation

Fuente: arXiv

Enregistré dans:

Détails bibliographiques
Auteurs principaux:	Guo, Yipin, Li, Zihao, Lang, Yilin, Ren, Qinyuan
Format:	Preprint
Publié:	2024
Sujets:	Machine Learning Artificial Intelligence Computer Vision and Pattern Recognition
Accès en ligne:	Acceder al recurso
Tags:	Ajouter un tag Pas de tags, Soyez le premier à ajouter un tag!

Documents similaires

GPTQT: Quantize Large Language Models Twice to Push the Efficiency
par: Guo, Yipin, et autres
Publié: (2024)

Efficient Fusion and Task Guided Embedding for End-to-end Autonomous Driving
par: Guo, Yipin, et autres
Publié: (2024)

ShiftAddViT: Mixture of Multiplication Primitives Towards Efficient Vision Transformer
par: You, Haoran, et autres
Publié: (2023)

Add-it: Training-Free Object Insertion in Images With Pretrained Diffusion Models
par: Tewel, Yoad, et autres
Publié: (2024)

Ctrl-GenAug: Controllable Generative Augmentation for Medical Sequence Classification
par: Zhou, Xinrui, et autres
Publié: (2024)

TinyVQA: Compact Multimodal Deep Neural Network for Visual Question Answering on Resource-Constrained Devices
par: Rashid, Hasib-Al, et autres
Publié: (2024)

Training-Free Restoration of Pruned Neural Networks
par: Lee, Keonho, et autres
Publié: (2025)

LogTinyLLM: Tiny Large Language Models Based Contextual Log Anomaly Detection
par: Ocansey, Isaiah Thompson, et autres
Publié: (2025)

TinyFormer: Preserving Tiny Objects in YOLO-DETR Hybrid Real-time Detectors
par: Hsieh, Jun-Wei, et autres
Publié: (2026)

Privacy-Aware Continual Self-Supervised Learning on Multi-Window Chest Computed Tomography for Domain-Shift Robustness
par: Tasai, Ren, et autres
Publié: (2025)

Tiny Machine Learning: Progress and Futures
par: Lin, Ji, et autres
Publié: (2024)

TinyFusion: Diffusion Transformers Learned Shallow
par: Fang, Gongfan, et autres
Publié: (2024)

Achieving Data Efficient Neural Networks with Hybrid Concept-based Models
par: Opsahl, Tobias A., et autres
Publié: (2024)

Configuring Data Augmentations to Reduce Variance Shift in Positional Embedding of Vision Transformers
par: Kim, Bum Jun, et autres
Publié: (2024)

PTEENet: Post-Trained Early-Exit Neural Networks Augmentation for Inference Cost Optimization
par: Lahiany, Assaf, et autres
Publié: (2025)

Just Add Geometry: Gradient-Free Open-Vocabulary 3D Detection Without Human-in-the-Loop
par: Goel, Atharv, et autres
Publié: (2025)

Heterogeneous Graph Transformer for Multiple Tiny Object Tracking in RGB-T Videos
par: Xu, Qingyu, et autres
Publié: (2024)

On the Shift Invariance of Max Pooling Feature Maps in Convolutional Neural Networks
par: Leterme, Hubert, et autres
Publié: (2022)

FastCAV: Efficient Computation of Concept Activation Vectors for Explaining Deep Neural Networks
par: Schmalwasser, Laines, et autres
Publié: (2025)

Label Dropout: Improved Deep Learning Echocardiography Segmentation Using Multiple Datasets With Domain Shift and Partial Labelling
par: Islam, Iman, et autres
Publié: (2024)

HTMA-Net: Towards Multiplication-Avoiding Neural Networks via Hadamard Transform and In-Memory Computing
par: Hamdan, Emadeldeen, et autres
Publié: (2025)

Semantic Shift Estimation via Dual-Projection and Classifier Reconstruction for Exemplar-Free Class-Incremental Learning
par: He, Run, et autres
Publié: (2025)

AugMapNet: Improving Spatial Latent Structure via BEV Grid Augmentation for Enhanced Vectorized Online HD Map Construction
par: Monninger, Thomas, et autres
Publié: (2025)

TinyAlign: Boosting Lightweight Vision-Language Models by Mitigating Modal Alignment Bottlenecks
par: Hu, Yuanze, et autres
Publié: (2025)

A Survey on Graph Neural Networks and Graph Transformers in Computer Vision: A Task-Oriented Perspective
par: Chen, Chaoqi, et autres
Publié: (2022)

TriAug: Out-of-Distribution Detection for Imbalanced Breast Lesion in Ultrasound
par: Ye, Yinyu, et autres
Publié: (2024)

Enhancing Nighttime Vehicle Detection with Day-to-Night Style Transfer and Labeling-Free Augmentation
par: Yang, Yunxiang, et autres
Publié: (2024)

Can We Break Free from Strong Data Augmentations in Self-Supervised Learning?
par: Gowda, Shruthi, et autres
Publié: (2024)

TinyDrop: Tiny Model Guided Token Dropping for Vision Transformers
par: Wang, Guoxin, et autres
Publié: (2025)

BridgeDrive: Diffusion Bridge Policy for Closed-Loop Trajectory Planning in Autonomous Driving
par: Liu, Shu, et autres
Publié: (2025)

EventAug: Multifaceted Spatio-Temporal Data Augmentation Methods for Event-based Learning
par: Tian, Yukun, et autres
Publié: (2024)

StreamTinyNet: video streaming analysis with spatial-temporal TinyML
par: Shalby, Hazem Hesham Yousef, et autres
Publié: (2024)

GhostNetV3-Small: A Tailored Architecture and Comparative Study of Distillation Strategies for Tiny Images
par: Zager, Florian, et autres
Publié: (2025)

Paint by Inpaint: Learning to Add Image Objects by Removing Them First
par: Wasserman, Navve, et autres
Publié: (2024)

Explaining Bayesian Neural Networks
par: Bykov, Kirill, et autres
Publié: (2021)

Winfree Oscillatory Neural Network
par: Dai, Jiawen, et autres
Publié: (2026)

On Diversity in Discriminative Neural Networks
par: Oubaha, Brahim, et autres
Publié: (2024)

Hyperbolic Busemann Neural Networks
par: Chen, Ziheng, et autres
Publié: (2026)

AugVLA-3D: Depth-Driven Feature Augmentation for Vision-Language-Action Models
par: Rao, Zhifeng, et autres
Publié: (2026)

Augmented Structure Preserving Neural Networks for cell biomechanics
par: Olalla-Pombo, Juan, et autres
Publié: (2025)