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 1001–1025 of 4891 papers

TitleStatusHype
Deep-and-Wide Learning: Enhancing Data-Driven Inference via Synergistic Learning of Inter- and Intra-Data Representations—0
Stiff Transfer Learning for Physics-Informed Neural Networks—0
Contextual Reinforcement in Multimodal Token Compression for Large Language Models—0
SSF-PAN: Semantic Scene Flow-Based Perception for Autonomous Navigation in Traffic Scenarios—0
Federated Learning for Efficient Condition Monitoring and Anomaly Detection in Industrial Cyber-Physical Systems—0
Efficient Knowledge Distillation of SAM for Medical Image Segmentation—0
HD-CB: The First Exploration of Hyperdimensional Computing for Contextual Bandits Problems—0
FlexMotion: Lightweight, Physics-Aware, and Controllable Human Motion Generation—0
ITVTON:Virtual Try-On Diffusion Transformer Model Based on Integrated Image and Text—0
Radiance Surfaces: Optimizing Surface Representations with a 5D Radiance Field Loss—0
Directing Mamba to Complex Textures: An Efficient Texture-Aware State Space Model for Image Restoration—0
Real-Time Brain Tumor Detection in Intraoperative Ultrasound Using YOLO11: From Model Training to Deployment in the Operating RoomCode0
Evaluating Data Influence in Meta Learning—0
Lightweight Weighted Average Ensemble Model for Pneumonia Detection in Chest X-Ray Images—0
Gaussian credible intervals in Bayesian nonparametric estimation of the unseen—0
Return of the Encoder: Maximizing Parameter Efficiency for SLMsCode1
Mixture-of-Mamba: Enhancing Multi-Modal State-Space Models with Modality-Aware SparsityCode2
ARFlow: Autogressive Flow with Hybrid Linear Attention—0
Guaranteed Multidimensional Time Series Prediction via Deterministic Tensor Completion TheoryCode0
Quantum-Enhanced Attention Mechanism in NLP: A Hybrid Classical-Quantum Approach—0
AI-Driven Secure Data Sharing: A Trustworthy and Privacy-Preserving Approach—0
Semantic Layered Embedding Diffusion in Large Language Models for Multi-Contextual Consistency—0
DER Hosting capacity for distribution networks: definitions, attributes, use-cases and challenges—0
Split-Merge: A Difference-based Approach for Dominant Eigenvalue Problem—0
RotateKV: Accurate and Robust 2-Bit KV Cache Quantization for LLMs via Outlier-Aware Adaptive Rotations—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1ViTaLHamming Loss0.05—Unverified