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 1301–1350 of 4891 papers

TitleStatusHype
Benchmarking Data Efficiency and Computational Efficiency of Temporal Action Localization Models—0
YOCO: A Hybrid In-Memory Computing Architecture with 8-bit Sub-PetaOps/W In-Situ Multiply Arithmetic for Large-Scale AI—0
Benchmarking and In-depth Performance Study of Large Language Models on Habana Gaudi Processors—0
Benchmark Evaluation of Image Fusion algorithms for Smartphone Camera Capture—0
An Algorithm-Hardware Co-Optimized Framework for Accelerating N:M Sparse Transformers—0
Accelerating Parallel Stochastic Gradient Descent via Non-blocking Mini-batches—0
Efficient Frequency Selective Surface Analysis via End-to-End Model-Based Learning—0
Bee-yond the Plateau: Training QNNs with Swarm Algorithms—0
Adaptive Divergence-based Non-negative Latent Factor Analysis—0
An ADRC-Incorporated Stochastic Gradient Descent Algorithm for Latent Factor Analysis—0
Accelerating Machine Learning Algorithms with Adaptive Sampling—0
Deep Cytometry: Deep learning with Real-time Inference in Cell Sorting and Flow Cytometry—0
BeamLearning: an end-to-end Deep Learning approach for the angular localization of sound sources using raw multichannel acoustic pressure data—0
ARES: An Efficient Algorithm with Recurrent Evaluation and Sampling-Driven Inference for Maximum Independent Set—0
BCSSN: Bi-direction Compact Spatial Separable Network for Collision Avoidance in Autonomous Driving—0
Adaptive Direction-Guided Structure Tensor Total Variation—0
Efficient fine-grained road segmentation using superpixel-based CNN and CRF models—0
Bayesian Triplet Loss: Uncertainty Quantification in Image Retrieval—0
An Accelerated Camera 3DMA Framework for Efficient Urban GNSS Multipath Estimation—0
Adaptive Deep Learning for Efficient Visual Pose Estimation aboard Ultra-low-power Nano-drones—0
Bayesian Structure Learning by Recursive Bootstrap—0
Bayesian Structural Model Updating with Multimodal Variational Autoencoder—0
A Multi-Scale Spatial Attention-Based Zero-Shot Learning Framework for Low-Light Image Enhancement—0
Document-level Event Extraction with Efficient End-to-end Learning of Cross-event Dependencies—0
Bayesian Spatial Field Reconstruction with Unknown Distortions in Sensor Networks—0
A Multiple Source Hourglass Deep Network for Multi-Focus Image Fusion—0
Accelerating IoV Intrusion Detection: Benchmarking GPU-Accelerated vs CPU-Based ML Libraries—0
Bayesian Sequential Stacking Algorithm for Concurrently Designing Molecules and Synthetic Reaction Networks—0
Bayesian Quantum Neural Network for Renewable-Rich Power Flow with Training Efficiency and Generalization Capability Improvements—0
HER2 Expression Prediction with Flexible Multi-Modal Inputs via Dynamic Bidirectional Reconstruction—0
Efficient Ensembles Improve Training Data Attribution—0
Efficient Folded Attention for 3D Medical Image Reconstruction and Segmentation—0
Efficient Malware Detection with Optimized Learning on High-Dimensional Features—0
Bayesian Probabilistic Matrix Factorization—0
Bayesian Patchworks: An Approach to Case-Based Reasoning—0
A Multimodal Approach for Advanced Pest Detection and Classification—0
Bayesian Optimization for Hyperparameters Tuning in Neural Networks—0
Bayesian Optimization by Kernel Regression and Density-based Exploration—0
Accelerating Inference of Retrieval-Augmented Generation via Sparse Context Selection—0
Efficient Distance Metric Learning by Adaptive Sampling and Mini-Batch Stochastic Gradient Descent (SGD)—0
Bayesian Optimal Control of Smoothly Parameterized Systems: The Lazy Posterior Sampling Algorithm—0
Bayesian Off-Policy Evaluation and Learning for Large Action Spaces—0
A Multi-Document Coverage Reward for RELAXed Multi-Document Summarization—0
Bayesian Neural Networks with Variance Propagation for Uncertainty Evaluation—0
Amulet: ReAlignment During Test Time for Personalized Preference Adaptation of LLMs—0
Adaptive Cyclic Diffusion for Inference Scaling—0
Efficient Diffusion Models for Vision: A Survey—0
Efficient Dual-Blind Deconvolution for Joint Radar-Communication Systems Using ADMM: Enhancing Channel Estimation and Signal Recovery in 5G mmWave Networks—0
Bayesian Models of Data Streams with Hierarchical Power Priors—0
Bayesian l_0-regularized Least Squares—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1ViTaLHamming Loss0.05—Unverified