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 4651–4700 of 4891 papers

TitleStatusHype
Generalized Analysis and Unified Design of EM Skins—0
Generalized Group Data Attribution—0
Generalized Higher-Order Tensor Decomposition via Parallel ADMM—0
Generalized Nesterov's Acceleration-incorporated Non-negative and Adaptive Latent Factor Analysis—0
Generating Full-field Evolution of Physical Dynamics from Irregular Sparse Observations—0
Generative Discovery of Partial Differential Equations by Learning from Math Handbooks—0
Generative QoE Modeling: A Lightweight Approach for Telecom Networks—0
Genetic Algorithmic Parameter Optimisation of a Recurrent Spiking Neural Network Model—0
GenMol: A Drug Discovery Generalist with Discrete Diffusion—0
GeoFUSE: A High-Efficiency Surrogate Model for Seawater Intrusion Prediction and Uncertainty Reduction—0
GeoLoRA: Geometric integration for parameter efficient fine-tuning—0
Geometric Active Exploration in Markov Decision Processes: the Benefit of Abstraction—0
Geometric-Based Pruning Rules For Change Point Detection in Multiple Independent Time Series—0
Geometric Policy Iteration for Markov Decision Processes—0
Geometry-Constrained Monocular Scale Estimation Using Semantic Segmentation for Dynamic Scenes—0
Geometry Enhanced Optimal Control Technique for Acrobatic Flip Motion of Quadcopter—0
GLCM-Based Feature Combination for Extraction Model Optimization in Object Detection Using Machine Learning—0
Global Adaptive Generative Adjustment—0
Global-and-Local Relative Position Embedding for Unsupervised Video Summarization—0
Retraction-Free Decentralized Non-convex Optimization with Orthogonal Constraints—0
Globally Optimal and Efficient Manhattan Frame Estimation by Delimiting Rotation Search Space—0
Global Solver and Its Efficient Approximation for Variational Bayesian Low-rank Subspace Clustering—0
Global spatio-temporal downscaling of ERA5 precipitation through generative AI—0
Global Universal Scaling and Ultra-Small Parameterization in Machine Learning Interatomic Potentials with Super-Linearity—0
GMC-PINNs: A new general Monte Carlo PINNs method for solving fractional partial differential equations on irregular domains—0
GMFlow: Global Motion-Guided Recurrent Flow for 6D Object Pose Estimation—0
GmNet: Revisiting Gating Mechanisms From A Frequency View—0
GMSA: Enhancing Context Compression via Group Merging and Layer Semantic Alignment—0
GNN-Assisted Phase Space Integration with Application to Atomistics—0
GNN-Based Joint Channel and Power Allocation in Heterogeneous Wireless Networks—0
GNN-enabled Precoding for Massive MIMO LEO Satellite Communications—0
Gnothi Seauton: Empowering Faithful Self-Interpretability in Black-Box Transformers—0
GoRA: Gradient-driven Adaptive Low Rank Adaptation—0
Go Wide, Then Narrow: Efficient Training of Deep Thin Networks—0
GP3: A Sampling-based Analysis Framework for Gaussian Processes—0
GP-Aligner: Unsupervised Non-rigid Groupwise Point Set Registration Based On Optimized Group Latent Descriptor—0
GPAvatar: High-fidelity Head Avatars by Learning Efficient Gaussian Projections—0
Gradient-based Sample Selection for Faster Bayesian Optimization—0
Gradient Boosted Binary Histogram Ensemble for Large-scale Regression—0
Gradient-Descent Based Optimization of Constant Envelope OFDM Waveforms—0
Gradient-Descent Based Optimization of Multi-Tone Sinusoidal Frequency Modulated Waveforms—0
Gradient-EM Bayesian Meta-learning—0
Gradient-Free Textual Inversion—0
Gradient-guided Attention Map Editing: Towards Efficient Contextual Hallucination Mitigation—0
Gradient-Mask Tuning Elevates the Upper Limits of LLM Performance—0
Saliency strikes back: How filtering out high frequencies improves white-box explanations—0
Gram-CTC: Automatic Unit Selection and Target Decomposition for Sequence Labelling—0
GraMeR: Graph Meta Reinforcement Learning for Multi-Objective Influence Maximization—0
Granular Ball Twin Support Vector Machine with Universum Data—0
Graph Coloring: Comparing Cluster Graphs to Factor Graphs—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1ViTaLHamming Loss0.05—Unverified