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 301–350 of 4891 papers

TitleStatusHype
CondenseNet V2: Sparse Feature Reactivation for Deep NetworksCode1
Finer-CAM: Spotting the Difference Reveals Finer Details for Visual ExplanationCode1
CIS-UNet: Multi-Class Segmentation of the Aorta in Computed Tomography Angiography via Context-Aware Shifted Window Self-AttentionCode1
Collaborative Filtering Based on Diffusion Models: Unveiling the Potential of High-Order ConnectivityCode1
Fine-tuning a Large Language Model for Automating Computational Fluid Dynamics SimulationsCode1
Geo-Sign: Hyperbolic Contrastive Regularisation for Geometrically Aware Sign Language TranslationCode1
How Much Can Time-related Features Enhance Time Series Forecasting?Code1
CFT-RAG: An Entity Tree Based Retrieval Augmented Generation Algorithm With Cuckoo FilterCode1
Centroid Distance Keypoint Detector for Colored Point CloudsCode1
A new computationally efficient algorithm to solve Feature Selection for Functional Data Classification in high-dimensional spacesCode1
CAVM: Conditional Autoregressive Vision Model for Contrast-Enhanced Brain Tumor MRI SynthesisCode1
featsel: A framework for benchmarking of feature selection algorithms and cost functionsCode1
Federated Bayesian Optimization via Thompson SamplingCode1
CAMP: Collaborative Attention Model with Profiles for Vehicle Routing ProblemsCode1
Calibrating LLMs with Information-Theoretic Evidential Deep LearningCode1
Adaptive Fourier Neural Operators: Efficient Token Mixers for TransformersCode1
CalibQuant: 1-Bit KV Cache Quantization for Multimodal LLMsCode1
Change State Space Models for Remote Sensing Change DetectionCode1
Fast TreeSHAP: Accelerating SHAP Value Computation for TreesCode1
FedPop: Federated Population-based Hyperparameter TuningCode1
Adaptive Focus for Efficient Video RecognitionCode1
Rethinking Brain Tumor Segmentation from the Frequency Domain PerspectiveCode1
BUFFER: Balancing Accuracy, Efficiency, and Generalizability in Point Cloud RegistrationCode1
FastMap: Fast Queries Initialization Based Vectorized HD Map Reconstruction FrameworkCode1
On Fast Simulation of Dynamical System with Neural Vector Enhanced Numerical SolverCode1
Fast Point TransformerCode1
Fast Sequence Based Embedding with Diffusion GraphsCode1
Fast ground penetrating radar dual-parameter full waveform inversion method accelerated by hybrid compilation of CUDA kernel function and PyTorchCode1
Fast Kernel Scene FlowCode1
Boosting Light-Weight Depth Estimation Via Knowledge DistillationCode1
Adaptive Data Optimization: Dynamic Sample Selection with Scaling LawsCode1
Cached Multi-Lora Composition for Multi-Concept Image GenerationCode1
FastKV: KV Cache Compression for Fast Long-Context Processing with Token-Selective PropagationCode1
Fast Sequence-Based Embedding with Diffusion GraphsCode1
FedSSA: Semantic Similarity-based Aggregation for Efficient Model-Heterogeneous Personalized Federated LearningCode1
Fast and Low-Cost Genomic Foundation Models via Outlier RemovalCode1
Efficient Learning of Mesh-Based Physical Simulation with BSMS-GNNCode1
Birdie: Advancing State Space Models with Reward-Driven Objectives and CurriculaCode1
AMR Similarity Metrics from PrinciplesCode1
FAMO: Fast Adaptive Multitask OptimizationCode1
Amortized Control of Continuous State Space Feynman-Kac Model for Irregular Time SeriesCode1
Fast ABC-Boost: A Unified Framework for Selecting the Base Class in Multi-Class ClassificationCode1
Fast and Accurate Entity Recognition with Iterated Dilated ConvolutionsCode1
EXTENDING CONDITIONAL CONVOLUTION STRUCTURES FOR ENHANCING MULTITASKING CONTINUAL LEARNINGCode1
Facial Emotion Recognition: State of the Art Performance on FER2013Code1
Beyond The Rainbow: High Performance Deep Reinforcement Learning on a Desktop PCCode1
Bidirectional Recurrence for Cardiac Motion Tracking with Gaussian Process Latent CodingCode1
ExpoMamba: Exploiting Frequency SSM Blocks for Efficient and Effective Image EnhancementCode1
Fast and Interpretable 2D Homography Decomposition: Similarity-Kernel-Similarity and Affine-Core-Affine TransformationsCode1
FADRM: Fast and Accurate Data Residual Matching for Dataset DistillationCode1
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1ViTaLHamming Loss0.05—Unverified