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 1976–2000 of 4891 papers

TitleStatusHype
FlexMotion: Lightweight, Physics-Aware, and Controllable Human Motion Generation—0
Diffusion-Augmented Coreset Expansion for Scalable Dataset Distillation—0
FlightLLM: Efficient Large Language Model Inference with a Complete Mapping Flow on FPGAs—0
DiffSHEG: A Diffusion-Based Approach for Real-Time Speech-driven Holistic 3D Expression and Gesture Generation—0
Flopping for FLOPs: Leveraging equivariance for computational efficiency—0
FLOPS: Forward Learning with OPtimal Sampling—0
4D Cardiac Ultrasound Standard Plane Location by Spatial-Temporal Correlation—0
Automated Defect Detection and Grading of Piarom Dates Using Deep Learning—0
Adaptable and Precise: Enterprise-Scenario LLM Function-Calling Capability Training Pipeline—0
Consensus-based Distributed Quantum Kernel Learning for Speech Recognition—0
Indirect Query Bayesian Optimization with Integrated Feedback—0
DiffRaman: A Conditional Latent Denoising Diffusion Probabilistic Model for Bacterial Raman Spectroscopy Identification Under Limited Data Conditions—0
FlowMotion: Target-Predictive Conditional Flow Matching for Jitter-Reduced Text-Driven Human Motion Generation—0
FlowRAM: Grounding Flow Matching Policy with Region-Aware Mamba Framework for Robotic Manipulation—0
FLRONet: Deep Operator Learning for High-Fidelity Fluid Flow Field Reconstruction from Sparse Sensor Measurements—0
AutoLoop: Fast Visual SLAM Fine-tuning through Agentic Curriculum Learning—0
GMFlow: Global Motion-Guided Recurrent Flow for 6D Object Pose Estimation—0
DiffFNO: Diffusion Fourier Neural Operator—0
Auto-Demo Prompting: Leveraging Generated Outputs as Demonstrations for Enhanced Batch Prompting—0
GmNet: Revisiting Gating Mechanisms From A Frequency View—0
Different thresholding methods on Nearest Shrunken Centroid algorithm—0
Differential Privacy of Hierarchical Census Data: An Optimization Approach—0
Forecasting the Forced van der Pol Equation with Frequent Phase Shifts Using Reservoir Computing—0
Differentially Private Training of Mixture of Experts Models—0
PrivateMail: Supervised Manifold Learning of Deep Features With Differential Privacy for Image Retrieval—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1ViTaLHamming Loss0.05—Unverified