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 4601–4650 of 4891 papers

TitleStatusHype
Foundations for Transfer in Reinforcement Learning: A Taxonomy of Knowledge Modalities—0
Fourier-DeepONet: Fourier-enhanced deep operator networks for full waveform inversion with improved accuracy, generalizability, and robustness—0
"FRAME: Forward Recursive Adaptive Model Extraction -- A Technique for Advance Feature Selection"—0
Frames and vertex-frequency representations in graph fractional Fourier domain—0
FRAMU: Attention-based Machine Unlearning using Federated Reinforcement Learning—0
FRC-TOuNN: Topology Optimization of Continuous Fiber Reinforced Composites using Neural Network—0
Free-DyGS: Camera-Pose-Free Scene Reconstruction based on Gaussian Splatting for Dynamic Surgical Videos—0
Fremer: Lightweight and Effective Frequency Transformer for Workload Forecasting in Cloud Services—0
FrePolad: Frequency-Rectified Point Latent Diffusion for Point Cloud Generation—0
FreqINR: Frequency Consistency for Implicit Neural Representation with Adaptive DCT Frequency Loss—0
FreqMoE: Dynamic Frequency Enhancement for Neural PDE Solvers—0
FreqPolicy: Frequency Autoregressive Visuomotor Policy with Continuous Tokens—0
Frequency of Interest-based Noise Attenuation Method to Improve Anomaly Detection Performance—0
Frequency-weighted H2-optimal model order reduction via oblique projection—0
From Natural Language to SQL: Review of LLM-based Text-to-SQL Systems—0
From Noise to Nuance: Advances in Deep Generative Image Models—0
From Pixels to Gigapixels: Bridging Local Inductive Bias and Long-Range Dependencies with Pixel-Mamba—0
From Pixels to Objects: A Hierarchical Approach for Part and Object Segmentation Using Local and Global Aggregation—0
From Point to probabilistic gradient boosting for claim frequency and severity prediction—0
From Precision to Perception: User-Centred Evaluation of Keyword Extraction Algorithms for Internet-Scale Contextual Advertising—0
From Structured to Unstructured:A Comparative Analysis of Computer Vision and Graph Models in solving Mesh-based PDEs—0
Fruit Detection, Segmentation and 3D Visualisation of Environments in Apple Orchards—0
Fully Dynamic Inference with Deep Neural Networks—0
Fundamental Survey on Neuromorphic Based Audio Classification—0
FuXi-Ocean: A Global Ocean Forecasting System with Sub-Daily Resolution—0
Fuzzy SLIC: Fuzzy Simple Linear Iterative Clustering—0
GAGA: Deciphering Age-path of Generalized Self-paced Regularizer—0
Gain with no Pain: Efficient Kernel-PCA by Nyström Sampling—0
Gait Recognition via Disentangled Representation Learning—0
GANCompress: GAN-Enhanced Neural Image Compression with Binary Spherical Quantization—0
GAP++: Learning to generate target-conditioned adversarial examples—0
GARLIC: LLM-Guided Dynamic Progress Control with Hierarchical Weighted Graph for Long Document QA—0
GAS: Generative Auto-bidding with Post-training Search—0
GateAttentionPose: Enhancing Pose Estimation with Agent Attention and Improved Gated Convolutions—0
GausSim: Foreseeing Reality by Gaussian Simulator for Elastic Objects—0
Gaussian credible intervals in Bayesian nonparametric estimation of the unseen—0
Gaussian Moments as Physically Inspired Molecular Descriptors for Accurate and Scalable Machine Learning Potentials—0
Gaussian Process-based Approach for Bilevel Optimization in the Power System -- A Critical Load Restoration Case—0
Gaussian Process Policy Iteration with Additive Schwarz Acceleration for Forward and Inverse HJB and Mean Field Game Problems—0
Gaussian Process Regression for Inverse Problems in Linear PDEs—0
Gaussian Primitives for Deformable Image Registration—0
GaussianVAE: Adaptive Learning Dynamics of 3D Gaussians for High-Fidelity Super-Resolution—0
GauS-SLAM: Dense RGB-D SLAM with Gaussian Surfels—0
Gaze-based dual resolution deep imitation learning for high-precision dexterous robot manipulation—0
GDP-GFCF Dynamics Across Global Economies: A Comparative Study of Panel Regressions and Random Forest—0
GeloVec: Higher Dimensional Geometric Smoothing for Coherent Visual Feature Extraction in Image Segmentation—0
GELU Activation Function in Deep Learning: A Comprehensive Mathematical Analysis and Performance—0
Gene expression modelling across multiple cell-lines with MapReduce—0
Generalizability of Mixture of Domain-Specific Adapters from the Lens of Signed Weight Directions and its Application to Effective Model Pruning—0
Generalizable Implicit Neural Representations via Parameterized Latent Dynamics for Baroclinic Ocean Forecasting—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1ViTaLHamming Loss0.05—Unverified