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

Showing 10511100 of 4891 papers

TitleStatusHype
BlazeNeo: Blazing fast polyp segmentation and neoplasm detectionCode0
High Dimensional Bayesian Optimization Assisted by Principal Component AnalysisCode0
HDMba: Hyperspectral Remote Sensing Imagery Dehazing with State Space ModelCode0
Adaptive Skip Intervals: Temporal Abstraction for Recurrent Dynamical ModelsCode0
HDKD: Hybrid Data-Efficient Knowledge Distillation Network for Medical Image ClassificationCode0
Heron Inference for Bayesian Graphical ModelsCode0
Bisimulation metric for Model Predictive ControlCode0
Language Models with TransformersCode0
HDiffTG: A Lightweight Hybrid Diffusion-Transformer-GCN Architecture for 3D Human Pose EstimationCode0
Online Convex Matrix Factorization with Representative RegionsCode0
BIP: Boost Invariant Polynomials for Efficient Jet TaggingCode0
BioVFM-21M: Benchmarking and Scaling Self-Supervised Vision Foundation Models for Biomedical Image AnalysisCode0
Biophysically detailed mathematical models of multiscale cardiac active mechanicsCode0
Biomimetic Frontend for Differentiable Audio ProcessingCode0
GTG-Shapley: Efficient and Accurate Participant Contribution Evaluation in Federated LearningCode0
Guaranteed Multidimensional Time Series Prediction via Deterministic Tensor Completion TheoryCode0
Group and Shuffle: Efficient Structured Orthogonal ParametrizationCode0
Binary Stereo MatchingCode0
Binarized Mamba-Transformer for Lightweight Quad Bayer HybridEVS DemosaicingCode0
Graph Self-Supervised Learning with Learnable Structural and Positional EncodingsCode0
Graph neural networks informed locally by thermodynamicsCode0
GraphQA: Protein Model Quality Assessment using Graph Convolutional NetworkCode0
Bi-fidelity Variational Auto-encoder for Uncertainty QuantificationCode0
Graph Neural Networks for modelling breast biomechanical compressionCode0
GRN: Gated Relation Network to Enhance Convolutional Neural Network for Named Entity RecognitionCode0
HADL Framework for Noise Resilient Long-Term Time Series ForecastingCode0
Graph Degree Linkage: Agglomerative Clustering on a Directed GraphCode0
Graph Convolutional Neural Networks with Diverse Negative Samples via Decomposed Determinant Point ProcessesCode0
GraphGAN: Graph Representation Learning with Generative Adversarial NetsCode0
Granular Ball Twin Support Vector MachineCode0
Graph Construction with Flexible Nodes for Traffic Demand PredictionCode0
Graph Learning from Data under Structural and Laplacian ConstraintsCode0
Beyond the Mean-Field: Structured Deep Gaussian Processes Improve the Predictive UncertaintiesCode0
Grafting for Combinatorial Boolean Model using Frequent Itemset MiningCode0
Analyzing Large Language Models for Classroom Discussion AssessmentCode0
GNNMerge: Merging of GNN Models Without Accessing Training DataCode0
Beyond Prediction: On-street Parking Recommendation using Heterogeneous Graph-based List-wise RankingCode0
CTR-KAN: KAN for Adaptive High-Order Feature Interaction ModelingCode0
Uni-Encoder: A Fast and Accurate Response Selection Paradigm for Generation-Based Dialogue SystemsCode0
Scalable Exploration via Ensemble++Code0
Beyond Attentive Tokens: Incorporating Token Importance and Diversity for Efficient Vision TransformersCode0
Global Safe Sequential Learning via Efficient Knowledge TransferCode0
GLUSE: Enhanced Channel-Wise Adaptive Gated Linear Units SE for Onboard Satellite Earth Observation Image ClassificationCode0
Hamiltonian Monte Carlo Acceleration Using Surrogate Functions with Random BasesCode0
Geoseg: A Computer Vision Package for Automatic Building Segmentation and Outline ExtractionCode0
Geo-ORBIT: A Federated Digital Twin Framework for Scene-Adaptive Lane Geometry DetectionCode0
GFSNetwork: Differentiable Feature Selection via Gumbel-Sigmoid RelaxationCode0
BERT-LSH: Reducing Absolute Compute For AttentionCode0
Geographical Context Matters: Bridging Fine and Coarse Spatial Information to Enhance Continental Land Cover MappingCode0
Supervised Dimensionality Reduction for Big DataCode0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1ViTaLHamming Loss0.05Unverified