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 1001–1050 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
HD-CB: The First Exploration of Hyperdimensional Computing for Contextual Bandits Problems—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
ITVTON:Virtual Try-On Diffusion Transformer Model Based on Integrated Image and Text—0
SSF-PAN: Semantic Scene Flow-Based Perception for Autonomous Navigation in Traffic Scenarios—0
FlexMotion: Lightweight, Physics-Aware, and Controllable Human Motion Generation—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
Evaluating Data Influence in Meta Learning—0
Gaussian credible intervals in Bayesian nonparametric estimation of the unseen—0
Return of the Encoder: Maximizing Parameter Efficiency for SLMsCode1
Real-Time Brain Tumor Detection in Intraoperative Ultrasound Using YOLO11: From Model Training to Deployment in the Operating RoomCode0
Lightweight Weighted Average Ensemble Model for Pneumonia Detection in Chest X-Ray Images—0
Mixture-of-Mamba: Enhancing Multi-Modal State-Space Models with Modality-Aware SparsityCode2
ARFlow: Autogressive Flow with Hybrid Linear Attention—0
Quantum-Enhanced Attention Mechanism in NLP: A Hybrid Classical-Quantum Approach—0
Guaranteed Multidimensional Time Series Prediction via Deterministic Tensor Completion TheoryCode0
Semantic Layered Embedding Diffusion in Large Language Models for Multi-Contextual Consistency—0
AI-Driven Secure Data Sharing: A Trustworthy and Privacy-Preserving Approach—0
DER Hosting capacity for distribution networks: definitions, attributes, use-cases and challenges—0
RotateKV: Accurate and Robust 2-Bit KV Cache Quantization for LLMs via Outlier-Aware Adaptive Rotations—0
Split-Merge: A Difference-based Approach for Dominant Eigenvalue Problem—0
Efficient and Interpretable Neural Networks Using Complex Lehmer Transform—0
ReInc: Scaling Training of Dynamic Graph Neural Networks—0
CFT-RAG: An Entity Tree Based Retrieval Augmented Generation Algorithm With Cuckoo FilterCode1
Uni-Sign: Toward Unified Sign Language Understanding at ScaleCode2
FireRedASR: Open-Source Industrial-Grade Mandarin Speech Recognition Models from Encoder-Decoder to LLM IntegrationCode5
UDiTQC: U-Net-Style Diffusion Transformer for Quantum Circuit Synthesis—0
Context-Aware Neural Gradient Mapping for Fine-Grained Instruction Processing—0
UltraLightSqueezeNet: A Deep Learning Architecture for Malaria Classification with up to 54x fewer trainable parameters for resource constrained devices—0
Context-CrackNet: A Context-Aware Framework for Precise Segmentation of Tiny Cracks in Pavement images—0
LiDAR-Based Vehicle Detection and Tracking for Autonomous Racing—0
GreedyPixel: Fine-Grained Black-Box Adversarial Attack Via Greedy Algorithm—0
SpikePack: Enhanced Information Flow in Spiking Neural Networks with High Hardware Compatibility—0
Permutation-based multi-objective evolutionary feature selection for high-dimensional data—0
Autonomous Structural Memory Manipulation for Large Language Models Using Hierarchical Embedding Augmentation—0
EFiGP: Eigen-Fourier Physics-Informed Gaussian Process for Inference of Dynamic Systems—0
Pseudocode-Injection Magic: Enabling LLMs to Tackle Graph Computational Tasks—0
Radio Map Estimation via Latent Domain Plug-and-Play DenoisingCode0
PhotoGAN: Generative Adversarial Neural Network Acceleration with Silicon Photonics—0
Architectural Fusion Through Contextual Partitioning in Large Language Models: A Novel Approach to Parameterized Knowledge Integration—0
Adaptive Data Exploitation in Deep Reinforcement LearningCode0
Attention-Driven Hierarchical Reinforcement Learning with Particle Filtering for Source Localization in Dynamic Fields—0
Let SSMs be ConvNets: State-space Modeling with Optimal Tensor ContractionsCode0
A Selective Homomorphic Encryption Approach for Faster Privacy-Preserving Federated Learning—0
Using Space-Filling Curves and Fractals to Reveal Spatial and Temporal Patterns in Neuroimaging DataCode0
Heuristic Deep Reinforcement Learning for Phase Shift Optimization in RIS-assisted Secure Satellite Communication Systems with RSMA—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1ViTaLHamming Loss0.05—Unverified