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 801–825 of 4891 papers

TitleStatusHype
A Framework for Waterfall Pricing Using Simulation-Based Uncertainty Modeling—0
Fremer: Lightweight and Effective Frequency Transformer for Workload Forecasting in Cloud Services—0
FORTRESS: Function-composition Optimized Real-Time Resilient Structural Segmentation via Kolmogorov-Arnold Enhanced Spatial Attention NetworksCode0
Heat Kernel Goes Topological—0
Canonical Bayesian Linear System Identification—0
Recursive Bound-Constrained AdaGrad with Applications to Multilevel and Domain Decomposition Minimization—0
DCR: Quantifying Data Contamination in LLMs EvaluationCode0
Lightweight Model for Poultry Disease Detection from Fecal Images Using Multi-Color Space Feature Optimization and Machine Learning—0
Comparative Analysis of Vision Transformers and Traditional Deep Learning Approaches for Automated Pneumonia Detection in Chest X-Rays—0
Geo-ORBIT: A Federated Digital Twin Framework for Scene-Adaptive Lane Geometry DetectionCode0
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
Hyperspectral Anomaly Detection Methods: A Survey and Comparative Study—0
QS4D: Quantization-aware training for efficient hardware deployment of structured state-space sequential models—0
Comparative Analysis of CNN and Transformer Architectures with Heart Cycle Normalization for Automated Phonocardiogram Classification—0
A Survey on Prompt TuningCode0
Critical Nodes Identification in Complex Networks: A Survey—0
High Order Collaboration-Oriented Federated Graph Neural Network for Accurate QoS Prediction—0
DC-AR: Efficient Masked Autoregressive Image Generation with Deep Compression Hybrid Tokenizer—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
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
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1ViTaLHamming Loss0.05—Unverified