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

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Showing 151–175 of 4891 papers

TitleStatusHype
TokenSHAP: Interpreting Large Language Models with Monte Carlo Shapley Value EstimationCode2
Learning local equivariant representations for quantum operatorsCode2
Mixture of A Million ExpertsCode2
A Closer Look into Mixture-of-Experts in Large Language ModelsCode2
LeYOLO, New Scalable and Efficient CNN Architecture for Object DetectionCode2
DistPred: A Distribution-Free Probabilistic Inference Method for Regression and ForecastingCode2
Solving the Inverse Problem of Electrocardiography for Cardiac Digital Twins: A SurveyCode2
Voxel Mamba: Group-Free State Space Models for Point Cloud based 3D Object DetectionCode2
Attentive Merging of Hidden Embeddings from Pre-trained Speech Model for Anti-spoofing DetectionCode2
MoE Jetpack: From Dense Checkpoints to Adaptive Mixture of Experts for Vision TasksCode2
Latent Neural Operator for Solving Forward and Inverse PDE ProblemsCode2
Adaptive Multi-Scale Decomposition Framework for Time Series ForecastingCode2
Parameter-Inverted Image Pyramid NetworksCode2
Long Context is Not Long at All: A Prospector of Long-Dependency Data for Large Language ModelsCode2
SoundCTM: Unifying Score-based and Consistency Models for Full-band Text-to-Sound GenerationCode2
Spectral-Refiner: Accurate Fine-Tuning of Spatiotemporal Fourier Neural Operator for Turbulent FlowsCode2
AdaFisher: Adaptive Second Order Optimization via Fisher InformationCode2
PoinTramba: A Hybrid Transformer-Mamba Framework for Point Cloud AnalysisCode2
Wav-KAN: Wavelet Kolmogorov-Arnold NetworksCode2
Outlier-robust Kalman Filtering through Generalised BayesCode2
Retinexmamba: Retinex-based Mamba for Low-light Image EnhancementCode2
On the test-time zero-shot generalization of vision-language models: Do we really need prompt learning?Code2
SSUMamba: Spatial-Spectral Selective State Space Model for Hyperspectral Image DenoisingCode2
Latent Modulated Function for Computational Optimal Continuous Image RepresentationCode2
MultiBooth: Towards Generating All Your Concepts in an Image from TextCode2
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1ViTaLHamming Loss0.05—Unverified