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 1051–1075 of 4891 papers

TitleStatusHype
GRN: Gated Relation Network to Enhance Convolutional Neural Network for Named Entity RecognitionCode0
GraphQA: Protein Model Quality Assessment using Graph Convolutional NetworkCode0
Graph neural networks informed locally by thermodynamicsCode0
Graph Self-Supervised Learning with Learnable Structural and Positional EncodingsCode0
Adaptive Skip Intervals: Temporal Abstraction for Recurrent Dynamical ModelsCode0
Bisimulation metric for Model Predictive ControlCode0
Language Models with TransformersCode0
Graph Neural Networks for modelling breast biomechanical compressionCode0
High Dimensional Bayesian Optimization using Lasso Variable SelectionCode0
Improving Korean NLP Tasks with Linguistically Informed Subword Tokenization and Sub-character DecompositionCode0
BIP: Boost Invariant Polynomials for Efficient Jet TaggingCode0
BioVFM-21M: Benchmarking and Scaling Self-Supervised Vision Foundation Models for Biomedical Image AnalysisCode0
Grafting for Combinatorial Boolean Model using Frequent Itemset MiningCode0
Biophysically detailed mathematical models of multiscale cardiac active mechanicsCode0
Biomimetic Frontend for Differentiable Audio ProcessingCode0
Granular Ball Twin Support Vector MachineCode0
Binary Stereo MatchingCode0
Graph Construction with Flexible Nodes for Traffic Demand PredictionCode0
Binarized Mamba-Transformer for Lightweight Quad Bayer HybridEVS DemosaicingCode0
GLUSE: Enhanced Channel-Wise Adaptive Gated Linear Units SE for Onboard Satellite Earth Observation Image ClassificationCode0
Global Safe Sequential Learning via Efficient Knowledge TransferCode0
Uni-Encoder: A Fast and Accurate Response Selection Paradigm for Generation-Based Dialogue SystemsCode0
GNNMerge: Merging of GNN Models Without Accessing Training DataCode0
Bi-fidelity Variational Auto-encoder for Uncertainty QuantificationCode0
Graph Convolutional Neural Networks with Diverse Negative Samples via Decomposed Determinant Point ProcessesCode0
Show:102550
← PrevPage 43 of 196Next →

Benchmark Results

#ModelMetricClaimedVerifiedStatus
1ViTaLHamming Loss0.05—Unverified