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 801–825 of 4891 papers

TitleStatusHype
Cross-Attention Fusion of MRI and Jacobian Maps for Alzheimer's Disease Diagnosis—0
Abstract Rendering: Computing All Seen in Gaussian Splat Scenes—0
Transformers with Joint Tokens and Local-Global Attention for Efficient Human Pose Estimation—0
Minimax Optimal Kernel Two-Sample Tests with Random Features—0
EDENet: Echo Direction Encoding Network for Place Recognition Based on Ground Penetrating RadarCode0
Computationally Efficient Safe Control of Linear Systems under Severe Sensor Attacks—0
KunlunBaize: LLM with Multi-Scale Convolution and Multi-Token Prediction Under TransformerX Framework—0
FedMentalCare: Towards Privacy-Preserving Fine-Tuned LLMs to Analyze Mental Health Status Using Federated Learning Framework—0
Advanced Deep Learning Techniques for Analyzing Earnings Call Transcripts: Methodologies and Applications—0
Deep Learning-Based Approach for Automatic 2D and 3D MRI Segmentation of Gliomas—0
PrimeK-Net: Multi-scale Spectral Learning via Group Prime-Kernel Convolutional Neural Networks for Single Channel Speech EnhancementCode1
Long-Context Inference with Retrieval-Augmented Speculative DecodingCode1
RURANET++: An Unsupervised Learning Method for Diabetic Macular Edema Based on SCSE Attention Mechanisms and Dynamic Multi-Projection Head Clustering—0
Dynamic Energy Flow Analysis of Integrated Electricity and Gas Systems: A Semi-Analytical Approach—0
Graph Probability Aggregation Clustering—0
Striving for Faster and Better: A One-Layer Architecture with Auto Re-parameterization for Low-Light Image EnhancementCode0
Comet: Fine-grained Computation-communication Overlapping for Mixture-of-ExpertsCode5
Amulet: ReAlignment During Test Time for Personalized Preference Adaptation of LLMs—0
Can RLHF be More Efficient with Imperfect Reward Models? A Policy Coverage PerspectiveCode0
Evaluating the Suitability of Different Intraoral Scan Resolutions for Deep Learning-Based Tooth Segmentation—0
High-fidelity Multiphysics Modelling for Rapid Predictions Using Physics-informed Parallel Neural Operator—0
CLIP-Optimized Multimodal Image Enhancement via ISP-CNN Fusion for Coal Mine IoVT under Uneven Illumination—0
Optimal Approximate Matrix Multiplication over Sliding Windows—0
A Materials Foundation Model via Hybrid Invariant-Equivariant Architectures—0
Memory-Free and Parallel Computation for Quantized Spiking Neural Networks—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1ViTaLHamming Loss0.05—Unverified