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 601–625 of 4891 papers

TitleStatusHype
A Transformer-based Framework for Multivariate Time Series Representation LearningCode1
FADRM: Fast and Accurate Data Residual Matching for Dataset DistillationCode1
Deep Generalization of Structured Low-Rank Algorithms (Deep-SLR)Code1
Decoupling Spatio-Temporal Prediction: When Lightweight Large Models Meet Adaptive HypergraphsCode1
Fast and Accurate Entity Recognition with Iterated Dilated ConvolutionsCode1
Fast and Interpretable 2D Homography Decomposition: Similarity-Kernel-Similarity and Affine-Core-Affine TransformationsCode1
Mixed Models with Multiple Instance LearningCode1
A Walsh Hadamard Derived Linear Vector Symbolic ArchitectureCode1
Deep Implicit Moving Least-Squares Functions for 3D ReconstructionCode1
Attention GhostUNet++: Enhanced Segmentation of Adipose Tissue and Liver in CT ImagesCode1
Algorithmic Differentiation for Automated Modeling of Machine Learned Force FieldsCode1
Fast Kernel Scene FlowCode1
Attention, Please! Revisiting Attentive Probing for Masked Image ModelingCode1
Attention U-Net: Learning Where to Look for the PancreasCode1
Decomposing non-stationary signals with time-varying wave-shape functionsCode1
DCT-SNN: Using DCT to Distribute Spatial Information over Time for Learning Low-Latency Spiking Neural NetworksCode1
DecoupleNet: A Lightweight Backbone Network With Efficient Feature Decoupling for Remote Sensing Visual TasksCode1
Fast TreeSHAP: Accelerating SHAP Value Computation for TreesCode1
AdaFocus V2: End-to-End Training of Spatial Dynamic Networks for Video RecognitionCode1
Federated Bayesian Optimization via Thompson SamplingCode1
A deep inverse reinforcement learning approach to route choice modeling with context-dependent rewardsCode1
Auction-Based Combinatorial Multi-Armed Bandit Mechanisms with Strategic ArmsCode1
A Simple Local Minimal Intensity Prior and An Improved Algorithm for Blind Image DeblurringCode1
DASS: Distilled Audio State Space Models Are Stronger and More Duration-Scalable LearnersCode1
DiRe-JAX: A JAX based Dimensionality Reduction Algorithm for Large-scale DataCode1
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1ViTaLHamming Loss0.05—Unverified