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 1–50 of 4891 papers

TitleStatusHype
Fremer: Lightweight and Effective Frequency Transformer for Workload Forecasting in Cloud Services—0
A Framework for Waterfall Pricing Using Simulation-Based Uncertainty Modeling—0
Computational-Statistical Tradeoffs from NP-hardness—0
From Roots to Rewards: Dynamic Tree Reasoning with RLCode0
FORTRESS: Function-composition Optimized Real-Time Resilient Structural Segmentation via Kolmogorov-Arnold Enhanced Spatial Attention NetworksCode0
Heat Kernel Goes Topological—0
FourCastNet 3: A geometric approach to probabilistic machine-learning weather forecasting at scaleCode3
U-RWKV: Lightweight medical image segmentation with direction-adaptive RWKVCode1
DCR: Quantifying Data Contamination in LLMs EvaluationCode0
Recursive Bound-Constrained AdaGrad with Applications to Multilevel and Domain Decomposition Minimization—0
Canonical Bayesian Linear System Identification—0
Lightweight Model for Poultry Disease Detection from Fecal Images Using Multi-Color Space Feature Optimization and Machine Learning—0
I^2-World: Intra-Inter Tokenization for Efficient Dynamic 4D Scene ForecastingCode2
Geo-ORBIT: A Federated Digital Twin Framework for Scene-Adaptive Lane Geometry DetectionCode0
Comparative Analysis of Vision Transformers and Traditional Deep Learning Approaches for Automated Pneumonia Detection in Chest X-Rays—0
Recurrent U-Net-Based Graph Neural Network (RUGNN) for Accurate Deformation Predictions in Sheet Material Forming—0
Fast Gaussian Processes under Monotonicity Constraints—0
Decomposing the Time Series Forecasting Pipeline: A Modular Approach for Time Series Representation, Information Extraction, and ProjectionCode0
Critical Nodes Identification in Complex Networks: A Survey—0
Comparative Analysis of CNN and Transformer Architectures with Heart Cycle Normalization for Automated Phonocardiogram Classification—0
Hyperspectral Anomaly Detection Methods: A Survey and Comparative Study—0
A Survey on Prompt TuningCode0
QS4D: Quantization-aware training for efficient hardware deployment of structured state-space sequential models—0
DC-AR: Efficient Masked Autoregressive Image Generation with Deep Compression Hybrid Tokenizer—0
High Order Collaboration-Oriented Federated Graph Neural Network for Accurate QoS Prediction—0
MVNet: Hyperspectral Remote Sensing Image Classification Based on Hybrid Mamba-Transformer Vision Backbone ArchitectureCode0
Generalized Adaptive Transfer Network: Enhancing Transfer Learning in Reinforcement Learning Across DomainsCode0
Instant Particle Size Distribution Measurement Using CNNs Trained on Synthetic DataCode0
Improve Underwater Object Detection through YOLOv12 Architecture and Physics-informed AugmentationCode1
FADRM: Fast and Accurate Data Residual Matching for Dataset DistillationCode1
VolumetricSMPL: A Neural Volumetric Body Model for Efficient Interactions, Contacts, and CollisionsCode2
Optimising 4th-Order Runge-Kutta Methods: A Dynamic Heuristic Approach for Efficiency and Low Storage—0
TopK Language Models—0
Antibody Design and Optimization with Multi-scale Equivariant Graph Diffusion Models for Accurate Complex Antigen BindingCode0
Distributed Cross-Channel Hierarchical Aggregation for Foundation Models—0
FastRef:Fast Prototype Refinement for Few-Shot Industrial Anomaly Detection—0
Chain-of-Thought Enhanced Shallow Transformers for Wireless Symbol Detection—0
LLM-guided Chemical Process Optimization with a Multi-Agent Approach—0
Divide, Specialize, and Route: A New Approach to Efficient Ensemble Learning—0
Revisiting CHAMPAGNE: Sparse Bayesian Learning as Reweighted Sparse Coding—0
Lightweight Multi-Frame Integration for Robust YOLO Object Detection in Videos—0
Fast ground penetrating radar dual-parameter full waveform inversion method accelerated by hybrid compilation of CUDA kernel function and PyTorchCode1
ITFormer: Bridging Time Series and Natural Language for Multi-Modal QA with Large-Scale Multitask Dataset—0
CAM-NET: An AI Model for Whole Atmosphere with Thermosphere and Ionosphere Extension—0
VHU-Net: Variational Hadamard U-Net for Body MRI Bias Field Correction—0
A Multi-Scale Spatial Attention-Based Zero-Shot Learning Framework for Low-Light Image Enhancement—0
Cooperative Bistatic ISAC Systems for Low-Altitude Economy—0
Dynamic Temporal Positional Encodings for Early Intrusion Detection in IoT—0
YOLOv13: Real-Time Object Detection with Hypergraph-Enhanced Adaptive Visual PerceptionCode5
LFR-PINO: A Layered Fourier Reduced Physics-Informed Neural Operator for Parametric PDEs—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1ViTaLHamming Loss0.05—Unverified