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
Waterfall: Framework for Robust and Scalable Text Watermarking and Provenance for LLMsCode1
DASS: Distilled Audio State Space Models Are Stronger and More Duration-Scalable LearnersCode1
QET: Enhancing Quantized LLM Parameters and KV cache Compression through Element Substitution and Residual Clustering—0
Prediction-Free Coordinated Dispatch of Microgrid: A Data-Driven Online Optimization Approach—0
Mixture of A Million ExpertsCode2
OSPC: Artificial VLM Features for Hateful Meme Detection—0
Feature-Specific Coefficients of Determination in Tree Ensembles—0
Improving Conversational Abilities of Quantized Large Language Models via Direct Preference Alignment—0
Plant Doctor: A hybrid machine learning and image segmentation software to quantify plant damage in video footage—0
LivePortrait: Efficient Portrait Animation with Stitching and Retargeting ControlCode11
Classification of Power Quality Disturbances Using Resnet with Channel Attention Mechanism—0
UltraPixel: Advancing Ultra-High-Resolution Image Synthesis to New Peaks—0
OpenSlot: Mixed Open-Set Recognition with Object-Centric Learning—0
DiGRAF: Diffeomorphic Graph-Adaptive Activation FunctionCode1
On the Robustness of Graph Reduction Against GNN Backdoor—0
Trajectory Tracking for UAVs: An Interpolating Control Approach—0
Multifidelity Cross-validation—0
PointViG: A Lightweight GNN-based Model for Efficient Point Cloud Analysis—0
Hyperspectral Pansharpening: Critical Review, Tools and Future PerspectivesCode1
SpectralKAN: Kolmogorov-Arnold Network for Hyperspectral Images Change DetectionCode0
On Statistical Rates and Provably Efficient Criteria of Latent Diffusion Transformers (DiTs)—0
Efficient Automated Circuit Discovery in Transformers using Contextual Decomposition—0
NeurIPS 2024 ML4CFD Competition: Harnessing Machine Learning for Computational Fluid Dynamics in Airfoil Design—0
PolygonGNN: Representation Learning for Polygonal Geometries with Heterogeneous Visibility GraphCode1
Aeroengine performance prediction using a physical-embedded data-driven method—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1ViTaLHamming Loss0.05—Unverified