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 351–400 of 4891 papers

TitleStatusHype
Beyond The Rainbow: High Performance Deep Reinforcement Learning on a Desktop PCCode1
Reconsidering the Performance of GAE in Link PredictionCode1
Energy-based physics-informed neural network for frictionless contact problems under large deformationCode1
Privacy-Preserving Graph-Based Machine Learning with Fully Homomorphic Encryption for Collaborative Anti-Money LaunderingCode1
Birdie: Advancing State Space Models with Reward-Driven Objectives and CurriculaCode1
A Walsh Hadamard Derived Linear Vector Symbolic ArchitectureCode1
Comparative Analysis of Demonstration Selection Algorithms for LLM In-Context LearningCode1
Bidirectional Recurrence for Cardiac Motion Tracking with Gaussian Process Latent CodingCode1
Neural Hamilton: Can A.I. Understand Hamiltonian Mechanics?Code1
Not All Heads Matter: A Head-Level KV Cache Compression Method with Integrated Retrieval and ReasoningCode1
Scalable Random Feature Latent Variable ModelsCode1
Efficient Neural Implicit Representation for 3D Human ReconstructionCode1
Non-myopic Generation of Language Models for Reasoning and PlanningCode1
Dual Prototype Evolving for Test-Time Generalization of Vision-Language ModelsCode1
Adaptive Data Optimization: Dynamic Sample Selection with Scaling LawsCode1
α-DPO: Adaptive Reward Margin is What Direct Preference Optimization NeedsCode1
Prompt Tuning for Audio Deepfake Detection: Computationally Efficient Test-time Domain Adaptation with Limited Target DatasetCode1
Octopus Inspired Optimization Algorithm: Multi-Level Structures and Parallel Computing StrategiesCode1
Shap-Select: Lightweight Feature Selection Using SHAP Values and RegressionCode1
Amortized Control of Continuous State Space Feynman-Kac Model for Irregular Time SeriesCode1
Improving Temporal Link Prediction via Temporal Walk Matrix ProjectionCode1
TPP-LLM: Modeling Temporal Point Processes by Efficiently Fine-Tuning Large Language ModelsCode1
2D-TPE: Two-Dimensional Positional Encoding Enhances Table Understanding for Large Language ModelsCode1
HDFlow: Enhancing LLM Complex Problem-Solving with Hybrid Thinking and Dynamic WorkflowsCode1
TiM4Rec: An Efficient Sequential Recommendation Model Based on Time-Aware Structured State Space Duality ModelCode1
AIM 2024 Challenge on UHD Blind Photo Quality AssessmentCode1
DecoupleNet: A Lightweight Backbone Network With Efficient Feature Decoupling for Remote Sensing Visual TasksCode1
MambaClinix: Hierarchical Gated Convolution and Mamba-Based U-Net for Enhanced 3D Medical Image SegmentationCode1
Ferret: Federated Full-Parameter Tuning at Scale for Large Language ModelsCode1
M3-Jepa: Multimodal Alignment via Multi-directional MoE based on the JEPA frameworkCode1
Time-independent Spiking Neuron via Membrane Potential Estimation for Efficient Spiking Neural NetworksCode1
Cross-attention Inspired Selective State Space Models for Target Sound ExtractionCode1
Parallel AutoRegressive Models for Multi-Agent Combinatorial OptimizationCode1
Prompt Compression with Context-Aware Sentence Encoding for Fast and Improved LLM InferenceCode1
MobileIQA: Exploiting Mobile-level Diverse Opinion Network For No-Reference Image Quality Assessment Using Knowledge DistillationCode1
Gradient-free variational learning with conditional mixture networksCode1
MSFMamba: Multi-Scale Feature Fusion State Space Model for Multi-Source Remote Sensing Image ClassificationCode1
Leveraging Fine-Tuned Retrieval-Augmented Generation with Long-Context Support: For 3GPP StandardsCode1
Implicit Grid Convolution for Multi-Scale Image Super-ResolutionCode1
ExpoMamba: Exploiting Frequency SSM Blocks for Efficient and Effective Image EnhancementCode1
MobileMEF: Fast and Efficient Method for Multi-Exposure FusionCode1
SpectralEarth: Training Hyperspectral Foundation Models at ScaleCode1
MetaSeg: MetaFormer-based Global Contexts-aware Network for Efficient Semantic SegmentationCode1
PRTGaussian: Efficient Relighting Using 3D Gaussians with Precomputed Radiance TransferCode1
Efficient and Accurate Pneumonia Detection Using a Novel Multi-Scale Transformer ApproachCode1
Time is Not Enough: Time-Frequency based Explanation for Time-Series Black-Box ModelsCode1
Spatial and Spatial-Spectral Morphological Mamba for Hyperspectral Image ClassificationCode1
CSWin-UNet: Transformer UNet with Cross-Shaped Windows for Medical Image SegmentationCode1
Scalify: scale propagation for efficient low-precision LLM trainingCode1
Embedding-Free Transformer with Inference Spatial Reduction for Efficient Semantic SegmentationCode1
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1ViTaLHamming Loss0.05—Unverified