Cover Image

LL-ViT: Edge Deployable Vision Transformers with Look Up Table Neurons

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Nag, Shashank, Bacellar, Alan T. L., Susskind, Zachary, Jha, Anshul, Liberty, Logan, Sivakumar, Aishwarya, John, Eugene B., Kailas, Krishnan, Lima, Priscila M. V., Yadwadkar, Neeraja J., Franca, Felipe M. G., John, Lizy K.
Format:	Preprint
Published:	2025
Subjects:	Machine Learning Computer Vision and Pattern Recognition
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Shrinking the Giant : Quasi-Weightless Transformers for Low Energy Inference
by: Nag, Shashank, et al.
Published: (2024)

Old is Gold: Optimizing Single-threaded Applications with Exgen-Malloc
by: Li, Ruihao, et al.
Published: (2025)

SPEC CPU2026: Characterization, Representativeness, and Cross-Suite Comparison
by: Li, Ruihao, et al.
Published: (2026)

nanoML for Human Activity Recognition
by: Bacellar, Alan T. L., et al.
Published: (2025)

Differentiable Weightless Neural Networks
by: Bacellar, Alan T. L., et al.
Published: (2024)

From Arithmetic to Logic: The Resilience of Logic and Lookup-Based Neural Networks Under Parameter Bit-Flips
by: Bacellar, Alan T. L., et al.
Published: (2026)

LiVeAction: a Lightweight, Versatile, and Asymmetric Neural Codec Design for Real-time Operation
by: Jacobellis, Dan, et al.
Published: (2026)

FRAPPE: Full Input, Residual Output Autoencoding with Projection Pursuit Encoder
by: Jacobellis, Dan, et al.
Published: (2026)

Learned Compression for Compressed Learning
by: Jacobellis, Dan, et al.
Published: (2024)

HELIOS: Adaptive Model And Early-Exit Selection for Efficient LLM Inference Serving
by: Kumar, Avinash, et al.
Published: (2025)

Oneiros: KV Cache Optimization through Parameter Remapping for Multi-tenant LLM Serving
by: Li, Ruihao, et al.
Published: (2025)

SpeedMalloc: Improving Multi-threaded Applications via a Lightweight Core for Memory Allocation
by: Li, Ruihao, et al.
Published: (2025)

ViT Registers and Fractal ViT
by: Chou, Jason Chuan-Chih, et al.
Published: (2026)

Machine Perceptual Quality: Evaluating the Impact of Severe Lossy Compression on Audio and Image Models
by: Jacobellis, Dan, et al.
Published: (2024)

Shabari: Delayed Decision-Making for Faster and Efficient Serverless Functions
by: Sinha, Prasoon, et al.
Published: (2024)

Single-Round Scalable Analytic Federated Learning
by: Bacellar, Alan T. L., et al.
Published: (2025)

iServe: An Intent-based Serving System for LLMs
by: Liakopoulos, Dimitrios, et al.
Published: (2025)

TAP-ViTs: Task-Adaptive Pruning for On-Device Deployment of Vision Transformers
by: Wang, Zhibo, et al.
Published: (2026)

VIVID-Med: LLM-Supervised Structured Pretraining for Deployable Medical ViTs
by: Wang, Xiyao, et al.
Published: (2026)

Retinal Malady Classification using AI: A novel ViT-SVM combination architecture
by: Jha, Shashwat, et al.
Published: (2026)

Simulating Rumor Spreading in Social Networks using LLM Agents
by: Hu, Tianrui, et al.
Published: (2025)

DeDelayed: Deleting Remote Inference Delay via On-Device Correction
by: Jacobellis, Dan, et al.
Published: (2025)

Deeper Inside Deep ViT
by: Hong, Sungrae
Published: (2025)

I&S-ViT: An Inclusive & Stable Method for Pushing the Limit of Post-Training ViTs Quantization
by: Zhong, Yunshan, et al.
Published: (2023)

CLAMP-ViT: Contrastive Data-Free Learning for Adaptive Post-Training Quantization of ViTs
by: Ramachandran, Akshat, et al.
Published: (2024)

ODE-ViT: Plug & Play Attention Layer from the Generalization of the ViT as an Ordinary Differential Equation
by: Riera, Carlos Boned, et al.
Published: (2025)

STRAP-ViT: Segregated Tokens with Randomized -- Transformations for Defense against Adversarial Patches in ViTs
by: Chattopadhyay, Nandish, et al.
Published: (2026)

ViTCAE: ViT-based Class-conditioned Autoencoder
by: Jebraeeli, Vahid, et al.
Published: (2025)

HydraViT: Stacking Heads for a Scalable ViT
by: Haberer, Janek, et al.
Published: (2024)

Mobile U-ViT: Revisiting large kernel and U-shaped ViT for efficient medical image segmentation
by: Tang, Fenghe, et al.
Published: (2025)

MIPHEI-ViT: Multiplex Immunofluorescence Prediction from H&E Images using ViT Foundation Models
by: Balezo, Guillaume, et al.
Published: (2025)

Equi-ViT: Rotational Equivariant Vision Transformer for Robust Histopathology Analysis
by: Chen, Fuyao, et al.
Published: (2026)

RepViT: Revisiting Mobile CNN From ViT Perspective
by: Wang, Ao, et al.
Published: (2023)

Refining Datapath for Microscaling ViTs
by: Xiao, Can, et al.
Published: (2025)

Purrturbed but Stable: Human-Cat Invariant Representations Across CNNs, ViTs and Self-Supervised ViTs
by: Shah, Arya, et al.
Published: (2025)

ViLL-E: Video LLM Embeddings for Retrieval
by: Gupta, Rohit, et al.
Published: (2026)

Rethinking Random Masking in Self-Distillation on ViT
by: Seong, Jihyeon, et al.
Published: (2025)

YOLO-Former: YOLO Shakes Hand With ViT
by: Khoramdel, Javad, et al.
Published: (2024)

How to train your ViT for OOD Detection
by: Mueller, Maximilian, et al.
Published: (2024)

Your ViT is Secretly an Image Segmentation Model
by: Kerssies, Tommie, et al.
Published: (2025)