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 1–25 of 4891 papers

TitleStatusHype
Fremer: Lightweight and Effective Frequency Transformer for Workload Forecasting in Cloud Services—0
Computational-Statistical Tradeoffs from NP-hardness—0
A Framework for Waterfall Pricing Using Simulation-Based Uncertainty Modeling—0
From Roots to Rewards: Dynamic Tree Reasoning with RLCode0
FourCastNet 3: A geometric approach to probabilistic machine-learning weather forecasting at scaleCode3
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
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
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
QS4D: Quantization-aware training for efficient hardware deployment of structured state-space sequential models—0
Decomposing the Time Series Forecasting Pipeline: A Modular Approach for Time Series Representation, Information Extraction, and ProjectionCode0
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
Hyperspectral Anomaly Detection Methods: A Survey and Comparative Study—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
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1ViTaLHamming Loss0.05—Unverified