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 4451–4475 of 4891 papers

TitleStatusHype
Private Selection from Private Candidates—0
Skeleton-based Gesture Recognition Using Several Fully Connected Layers with Path Signature Features and Temporal Transformer ModuleCode0
Efficient and Scalable Multi-task Regression on Massive Number of Tasks—0
Deep-learning the Latent Space of Light TransportCode0
A simple yet effective baseline for non-attributed graph classificationCode0
Meta-Learning for Multi-objective Reinforcement Learning—0
Training Domain Specific Models for Energy-Efficient Object DetectionCode0
Learning to Defend by Learning to Attack—0
Efficient Online Hyperparameter Optimization for Kernel Ridge Regression with Applications to Traffic Time Series Prediction—0
Don't forget, there is more than forgetting: new metrics for Continual Learning—0
Batch Normalization Sampling—0
MS-BACO: A new Model Selection algorithm using Binary Ant Colony Optimization for neural complexity and error reduction—0
Training Structured Efficient Convolutional Layers—0
Hybrid-MST: A Hybrid Active Sampling Strategy for Pairwise Preference AggregationCode0
MEMC-Net: Motion Estimation and Motion Compensation Driven Neural Network for Video Interpolation and EnhancementCode0
MEMC-Net: Motion Estimation and Motion Compensation Driven Neural Network for Video Frame Interpolation and EnhancementCode0
DN-ResNet: Efficient Deep Residual Network for Image Denoising—0
Combinatorial Attacks on Binarized Neural Networks—0
Rough set based lattice structure for knowledge representation in medical expert systems: low back pain management case study—0
Fairness-aware Classification: Criterion, Convexity, and Bounds—0
Bayesian Structure Learning by Recursive Bootstrap—0
Bayesian sparse reconstruction: a brute-force approach to astronomical imaging and machine learningCode0
Geoseg: A Computer Vision Package for Automatic Building Segmentation and Outline ExtractionCode0
Bayesian Patchworks: An Approach to Case-Based Reasoning—0
RetGK: Graph Kernels based on Return Probabilities of Random Walks—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1ViTaLHamming Loss0.05—Unverified