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 801–850 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
Computationally Efficient Safe Control of Linear Systems under Severe Sensor Attacks—0
EDENet: Echo Direction Encoding Network for Place Recognition Based on Ground Penetrating RadarCode0
Minimax Optimal Kernel Two-Sample Tests with Random Features—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
RURANET++: An Unsupervised Learning Method for Diabetic Macular Edema Based on SCSE Attention Mechanisms and Dynamic Multi-Projection Head Clustering—0
Striving for Faster and Better: A One-Layer Architecture with Auto Re-parameterization for Low-Light Image EnhancementCode0
Graph Probability Aggregation Clustering—0
Long-Context Inference with Retrieval-Augmented Speculative DecodingCode1
PrimeK-Net: Multi-scale Spectral Learning via Group Prime-Kernel Convolutional Neural Networks for Single Channel Speech EnhancementCode1
Dynamic Energy Flow Analysis of Integrated Electricity and Gas Systems: A Semi-Analytical Approach—0
Deep Learning-Based Approach for Automatic 2D and 3D MRI Segmentation of Gliomas—0
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
CLIP-Optimized Multimodal Image Enhancement via ISP-CNN Fusion for Coal Mine IoVT under Uneven Illumination—0
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
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
Transported Memory Networks accelerating Computational Fluid Dynamics—0
Tukey Depth Mechanisms for Practical Private Mean Estimation—0
Recurrent Neural Networks for Dynamic VWAP Execution: Adaptive Trading Strategies with Temporal Kolmogorov-Arnold NetworksCode0
Optimal Brain ApoptosisCode0
InVDriver: Intra-Instance Aware Vectorized Query-Based Autonomous Driving Transformer—0
VesselSAM: Leveraging SAM for Aortic Vessel Segmentation with AtrousLoRACode1
Design and implementation of a distributed security threat detection system integrating federated learning and multimodal LLM—0
Architecting Digital Twins for Intelligent Transportation Systems—0
Learning Backbones: Sparsifying Graphs through Zero Forcing for Effective Graph-Based Learning—0
Random Projections and Natural Sparsity in Time-Series Classification: A Theoretical Analysis—0
Erwin: A Tree-based Hierarchical Transformer for Large-scale Physical SystemsCode2
Muon is Scalable for LLM TrainingCode7
Agentic AI for Behavior-Driven Development Testing Using Large Language ModelsCode0
End-to-End Deep Learning for Structural Brain Imaging: A Unified FrameworkCode0
A Reverse Mamba Attention Network for Pathological Liver SegmentationCode1
DISC: DISC: Dynamic Decomposition Improves LLM Inference Scaling—0
A strictly predefined-time convergent and anti-noise fractional-order zeroing neural network for solving time-variant quadratic programming in kinematic robot control—0
Pseudo-Measurement Enhancement in Power Distribution Systems—0
Since Faithfulness Fails: The Performance Limits of Neural Causal Discovery—0
Graph Self-Supervised Learning with Learnable Structural and Positional EncodingsCode0
MOB-GCN: A Novel Multiscale Object-Based Graph Neural Network for Hyperspectral Image ClassificationCode0
Dynamic Parallel Tree Search for Efficient LLM Reasoning—0
TabMixer: advancing tabular data analysis with an enhanced MLP-mixer approachCode1
Hard constraint learning approaches with trainable influence functions for evolutionary equationsCode0
Probabilistic Formulations for System Identification of Linear Dynamics with Bilinear Observation Models—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1ViTaLHamming Loss0.05—Unverified