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 1151–1200 of 4891 papers

TitleStatusHype
CAMEL: Curvature-Augmented Manifold Embedding and Learning—0
An Enhanced Low-Resolution Image Recognition Method for Traffic Environments—0
CageViT: Convolutional Activation Guided Efficient Vision Transformer—0
An Energy-efficient Aerial Backhaul System with Reconfigurable Intelligent Surface—0
ADC/DAC-Free Analog Acceleration of Deep Neural Networks with Frequency Transformation—0
Byzantine-Resilient Distributed P2P Energy Trading via Spatial-Temporal Anomaly Detection—0
An Empirical Study of Training State-of-the-Art LiDAR Segmentation Models—0
Bypassing the Simulator: Near-Optimal Adversarial Linear Contextual Bandits—0
An Empirical Study of Dimensional Reduction Techniques for Facial Action Units Detection—0
Sparse solutions of the kernel herding algorithm by improved gradient approximation—0
DP-LET: An Efficient Spatio-Temporal Network Traffic Prediction Framework—0
Burst Image Super-Resolution with Mamba—0
Bunched LPCNet2: Efficient Neural Vocoders Covering Devices from Cloud to Edge—0
Broad Critic Deep Actor Reinforcement Learning for Continuous Control—0
An Empirical Analysis of Speech Self-Supervised Learning at Multiple Resolutions—0
A Dataset Fusion Algorithm for Generalised Anomaly Detection in Homogeneous Periodic Time Series Datasets—0
An Efficient Speech Separation Network Based on Recurrent Fusion Dilated Convolution and Channel Attention—0
Bridging Fairness Gaps: A (Conditional) Distance Covariance Perspective in Fairness Learning—0
An efficient semi-supervised quality control system trained using physics-based MRI-artefact generators and adversarial training—0
Bridging Distributional and Risk-sensitive Reinforcement Learning with Provable Regret Bounds—0
Bridging Autoencoders and Dynamic Mode Decomposition for Reduced-order Modeling and Control of PDEs—0
A Data-Driven Sparse Polynomial Chaos Expansion Method to Assess Probabilistic Total Transfer Capability for Power Systems with Renewables—0
BOTS-LM: Training Large Language Models for Setswana—0
DroidSpeak: KV Cache Sharing for Cross-LLM Communication and Multi-LLM Serving—0
Breaking the Bias: Recalibrating the Attention of Industrial Anomaly Detection—0
Breaking Boundaries: Balancing Performance and Robustness in Deep Wireless Traffic Forecasting—0
Brain Tumor Diagnosis Using Quantum Convolutional Neural Networks—0
An efficient search-and-score algorithm for ancestral graphs using multivariate information scores—0
Ada-SISE: Adaptive Semantic Input Sampling for Efficient Explanation of Convolutional Neural Networks—0
Brain Stroke Classification Using Wavelet Transform and MLP Neural Networks on DWI MRI Images—0
Brain Inspired Cortical Coding Method for Fast Clustering and Codebook Generation—0
An Efficient Procedure for Computing Bayesian Network Structure Learning—0
BPLight-CNN: A Photonics-based Backpropagation Accelerator for Deep Learning—0
Box-level Segmentation Supervised Deep Neural Networks for Accurate and Real-time Multispectral Pedestrian Detection—0
An Efficient Privacy-aware Split Learning Framework for Satellite Communications—0
Do we become wiser with time? On causal equivalence with tiered background knowledge—0
An efficient optimization based microstructure reconstruction approach with multiple loss functions—0
Bottom-up robust modeling for the foraging behavior of Physarum polycephalum—0
An Efficient Multi Quantile Regression Network with Ad Hoc Prevention of Quantile Crossing—0
Bottom-up and top-down approaches for the design of neuromorphic processing systems: Tradeoffs and synergies between natural and artificial intelligence—0
BOOST: Microgrid Sizing using Ordinal Optimization—0
Double Machine Learning for Adaptive Causal Representation in High-Dimensional Data—0
Boosting Multimodal Reasoning with MCTS-Automated Structured Thinking—0
An Efficient Method for online Detection of Polychronous Patterns in Spiking Neural Network—0
Acceleration and Parallelization Methods for ISRS EGN Model—0
Doubly Stochastic Variational Inference for Neural Processes with Hierarchical Latent Variables—0
DP-CDA: An Algorithm for Enhanced Privacy Preservation in Dataset Synthesis Through Randomized Mixing—0
γ-Net: Superresolving SAR Tomographic Inversion via Deep Learning—0
An Efficient Machine-Learning Approach for PDF Tabulation in Turbulent Combustion Closure—0
Body Transformer: Leveraging Robot Embodiment for Policy Learning—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1ViTaLHamming Loss0.05—Unverified