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 2776–2800 of 4891 papers

TitleStatusHype
FrameRS: A Video Frame Compression Model Composed by Self supervised Video Frame Reconstructor and Key Frame SelectorCode0
Decoder-only Architecture for Speech Recognition with CTC Prompts and Text Data Augmentation—0
Astrocyte-Integrated Dynamic Function Exchange in Spiking Neural Networks—0
Efficient Polyp Segmentation Via Integrity Learning—0
Scaling Laws for Sparsely-Connected Foundation Models—0
Optimizing Deep Decarbonization Pathways in California with Power System Planning Using Surrogate Level-based Lagrangian Relaxation—0
Native Language Identification with Big Bird EmbeddingsCode0
Contrast-Phys+: Unsupervised and Weakly-supervised Video-based Remote Physiological Measurement via Spatiotemporal ContrastCode1
Adapt and Diffuse: Sample-adaptive Reconstruction via Latent Diffusion ModelsCode0
Hybrid Algorithm Selection and Hyperparameter Tuning on Distributed Machine Learning Resources: A Hierarchical Agent-based Approach—0
Computation of safe disturbance sets using implicit RPI sets—0
Geometry Enhanced Optimal Control Technique for Acrobatic Flip Motion of Quadcopter—0
Effective Real Image Editing with Accelerated Iterative Diffusion Inversion—0
LMBiS-Net: A Lightweight Multipath Bidirectional Skip Connection based CNN for Retinal Blood Vessel SegmentationCode0
HAct: Out-of-Distribution Detection with Neural Net Activation Histograms—0
Large Language Models Are Not Robust Multiple Choice SelectorsCode1
Short-Term Load Forecasting Using A Particle-Swarm Optimized Multi-Head Attention-Augmented CNN-LSTM Network—0
Simulating room transfer functions between transducers mounted on audio devices using a modified image source methodCode1
CLEANing Cygnus A deep and fast with R2D2—0
Priority Queue Formulation of Agent-Based Bathtub Model for Network Trip Flows in the Relative Space—0
ADC/DAC-Free Analog Acceleration of Deep Neural Networks with Frequency Transformation—0
Structured Radial Basis Function Network: Modelling Diversity for Multiple Hypotheses Prediction—0
Bypassing the Simulator: Near-Optimal Adversarial Linear Contextual Bandits—0
Multi-stage Deep Learning Artifact Reduction for Pallel-beam Computed Tomography—0
SQLdepth: Generalizable Self-Supervised Fine-Structured Monocular Depth EstimationCode1
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1ViTaLHamming Loss0.05—Unverified