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 10611070 of 4891 papers

TitleStatusHype
GTG-Shapley: Efficient and Accurate Participant Contribution Evaluation in Federated LearningCode0
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
GNNMerge: Merging of GNN Models Without Accessing Training DataCode0
Uni-Encoder: A Fast and Accurate Response Selection Paradigm for Generation-Based Dialogue SystemsCode0
Binary Stereo MatchingCode0
GLUSE: Enhanced Channel-Wise Adaptive Gated Linear Units SE for Onboard Satellite Earth Observation Image ClassificationCode0
Binarized Mamba-Transformer for Lightweight Quad Bayer HybridEVS DemosaicingCode0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1ViTaLHamming Loss0.05Unverified