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 381–390 of 4891 papers

TitleStatusHype
Fast Point TransformerCode1
Fast Sequence Based Embedding with Diffusion GraphsCode1
Dynamic Group Convolution for Accelerating Convolutional Neural NetworksCode1
Efficient and Accurate Pneumonia Detection Using a Novel Multi-Scale Transformer ApproachCode1
Fine-Grained Pillar Feature Encoding Via Spatio-Temporal Virtual Grid for 3D Object DetectionCode1
Finer-CAM: Spotting the Difference Reveals Finer Details for Visual ExplanationCode1
Efficient RAW Image Deblurring with Adaptive Frequency ModulationCode1
DQO-MAP: Dual Quadrics Multi-Object mapping with Gaussian SplattingCode1
DnS: Distill-and-Select for Efficient and Accurate Video Indexing and RetrievalCode1
DragLoRA: Online Optimization of LoRA Adapters for Drag-based Image Editing in Diffusion ModelCode1
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1ViTaLHamming Loss0.05—Unverified