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 1451–1500 of 4891 papers

TitleStatusHype
Machine Learned Force Fields: Fundamentals, its reach, and challenges—0
Multi-Grained Feature Pruning for Video-Based Human Pose Estimation—0
Language modelling techniques for analysing the impact of human genetic variation—0
NoT: Federated Unlearning via Weight Negation—0
Geometry-Constrained Monocular Scale Estimation Using Semantic Segmentation for Dynamic Scenes—0
Neural Configuration-Space Barriers for Manipulation Planning and Control—0
Temporal Separation with Entropy Regularization for Knowledge Distillation in Spiking Neural Networks—0
GNNMerge: Merging of GNN Models Without Accessing Training DataCode0
TrafficKAN-GCN: Graph Convolutional-based Kolmogorov-Arnold Network for Traffic Flow OptimizationCode0
Enabling Fast, Accurate, and Efficient Real-Time Genome Analysis via New Algorithms and Techniques—0
Seeded Poisson Factorization: Leveraging domain knowledge to fit topic modelsCode0
COMMA: Coordinate-aware Modulated Mamba Network for 3D Dispersed Vessel SegmentationCode0
Multi-Step Deep Koopman Network (MDK-Net) for Vehicle Control in Frenet Frame—0
LREA: Low-Rank Efficient Attention on Modeling Long-Term User Behaviors for CTR Prediction—0
Union of Experts: Adapting Hierarchical Routing to Equivalently Decomposed TransformerCode0
Nonlinear energy-preserving model reduction with lifting transformations that quadratize the energy—0
Accelerating Focal Search in Multi-Agent Path Finding with Tighter Lower BoundsCode0
Perceptual Motor Learning with Active Inference Framework for Robust Lateral Control—0
PEO: Improving Bi-Factorial Preference Alignment with Post-Training Policy Extrapolation—0
Uplink Transmission Design for Fluid Antenna-Enabled Multiuser MIMO Systems with Imperfect CSI—0
Soybean Disease Detection via Interpretable Hybrid CNN-GNN: Integrating MobileNetV2 and GraphSAGE with Cross-Modal Attention—0
ECG-EmotionNet: Nested Mixture of Expert (NMoE) Adaptation of ECG-Foundation Model for Driver Emotion Recognition—0
Enhancing Multi-hop Reasoning in Vision-Language Models via Self-Distillation with Multi-Prompt Ensembling—0
Efficient or Powerful? Trade-offs Between Machine Learning and Deep Learning for Mental Illness Detection on Social Media—0
Correcting Mode Proportion Bias in Generalized Bayesian Inference via a Weighted Kernel Stein Discrepancy—0
Minimax Optimal Reinforcement Learning with Quasi-Optimism—0
Solving Satisfiability Modulo Counting Exactly with Probabilistic Circuits—0
Towards Efficient Educational Chatbots: Benchmarking RAG Frameworks—0
Evaluation of adaptive sampling methods in scenario generation for virtual safety impact assessment of pre-crash safety systems—0
QDCNN: Quantum Deep Learning for Enhancing Safety and Reliability in Autonomous Transportation Systems—0
Optimizing Parameter Estimation for Electrochemical Battery Model: A Comparative Analysis of Operating Profiles on Computational Efficiency and Accuracy—0
Abstract Rendering: Computing All Seen in Gaussian Splat Scenes—0
Cross-Attention Fusion of MRI and Jacobian Maps for Alzheimer's Disease Diagnosis—0
Computationally Efficient Safe Control of Linear Systems under Severe Sensor Attacks—0
Minimax Optimal Kernel Two-Sample Tests with Random Features—0
EDENet: Echo Direction Encoding Network for Place Recognition Based on Ground Penetrating RadarCode0
Transformers with Joint Tokens and Local-Global Attention for Efficient Human Pose Estimation—0
Striving for Faster and Better: A One-Layer Architecture with Auto Re-parameterization for Low-Light Image EnhancementCode0
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
KunlunBaize: LLM with Multi-Scale Convolution and Multi-Token Prediction Under TransformerX Framework—0
Dynamic Energy Flow Analysis of Integrated Electricity and Gas Systems: A Semi-Analytical Approach—0
FedMentalCare: Towards Privacy-Preserving Fine-Tuned LLMs to Analyze Mental Health Status Using Federated Learning Framework—0
Graph Probability Aggregation Clustering—0
Deep Learning-Based Approach for Automatic 2D and 3D MRI Segmentation of Gliomas—0
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
Can RLHF be More Efficient with Imperfect Reward Models? A Policy Coverage PerspectiveCode0
Amulet: ReAlignment During Test Time for Personalized Preference Adaptation of LLMs—0
High-fidelity Multiphysics Modelling for Rapid Predictions Using Physics-informed Parallel Neural Operator—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1ViTaLHamming Loss0.05—Unverified