SOTAVerified

Computational Efficiency

Methods and optimizations to reduce the computational resources (e.g., time, memory, or power) needed for training and inference in models. This involves techniques that streamline processing, optimize algorithms, or leverage hardware to enhance performance without compromising accuracy.

Papers

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 2626–2650 of 4891 papers

TitleStatusHype
RotateCT: Knowledge Graph Embedding by Rotation and Coordinate Transformation in Complex Space—0
RotateKV: Accurate and Robust 2-Bit KV Cache Quantization for LLMs via Outlier-Aware Adaptive Rotations—0
Rough set based lattice structure for knowledge representation in medical expert systems: low back pain management case study—0
RRWKV: Capturing Long-range Dependencies in RWKV—0
RDA-INR: Riemannian Diffeomorphic Autoencoding via Implicit Neural Representations—0
RSDehamba: Lightweight Vision Mamba for Remote Sensing Satellite Image Dehazing—0
A lightweight target detection algorithm based on Mobilenet Convolution—0
RS-vHeat: Heat Conduction Guided Efficient Remote Sensing Foundation Model—0
RURANET++: An Unsupervised Learning Method for Diabetic Macular Edema Based on SCSE Attention Mechanisms and Dynamic Multi-Projection Head Clustering—0
RWKV-Lite: Deeply Compressed RWKV for Resource-Constrained Devices—0
S^2-LBI: Stochastic Split Linearized Bregman Iterations for Parsimonious Deep Learning—0
Unified Spatio-Temporal Tri-Perspective View Representation for 3D Semantic Occupancy Prediction—0
S3TU-Net: Structured Convolution and Superpixel Transformer for Lung Nodule Segmentation—0
S7: Selective and Simplified State Space Layers for Sequence Modeling—0
SAEs Can Improve Unlearning: Dynamic Sparse Autoencoder Guardrails for Precision Unlearning in LLMs—0
Person Identification with Visual Summary for a Safe Access to a Smart Home—0
Safe Drone Flight with Time-Varying Backup Controllers—0
Safe and Efficient Reinforcement Learning Using Disturbance-Observer-Based Control Barrier Functions—0
SafeNet: An Assistive Solution to Assess Incoming Threats for Premises—0
Safe Screening With Variational Inequalities and Its Application to LASSO—0
SAFE: Self-Adjustment Federated Learning Framework for Remote Sensing Collaborative Perception—0
Enhancing Mobile Robot Navigation Safety and Efficiency through NMPC with Relaxed CBF in Dynamic Environments—0
Safety-Critical Traffic Simulation with Guided Latent Diffusion Model—0
Safety Verification of Neural Network Control Systems Using Guaranteed Neural Network Model Reduction—0
SAIBench: A Structural Interpretation of AI for Science Through Benchmarks—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1ViTaLHamming Loss0.05—Unverified