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 301–325 of 4891 papers

TitleStatusHype
Adaptive wavelet distillation from neural networks through interpretationsCode1
Adaptive Transformers for Learning Multimodal RepresentationsCode1
Fast and Accurate Entity Recognition with Iterated Dilated ConvolutionsCode1
Boosting Light-Weight Depth Estimation Via Knowledge DistillationCode1
Fast and Interpretable 2D Homography Decomposition: Similarity-Kernel-Similarity and Affine-Core-Affine TransformationsCode1
Centroid Distance Keypoint Detector for Colored Point CloudsCode1
Corner Proposal Network for Anchor-free, Two-stage Object DetectionCode1
Fast and Low-Cost Genomic Foundation Models via Outlier RemovalCode1
Fast, Expressive SE(n) Equivariant Networks through Weight-Sharing in Position-Orientation SpaceCode1
Fast Point TransformerCode1
Five A^+ Network: You Only Need 9K Parameters for Underwater Image EnhancementCode1
GraphMamba: An Efficient Graph Structure Learning Vision Mamba for Hyperspectral Image ClassificationCode1
Facial Emotion Recognition: State of the Art Performance on FER2013Code1
Birdie: Advancing State Space Models with Reward-Driven Objectives and CurriculaCode1
FADRM: Fast and Accurate Data Residual Matching for Dataset DistillationCode1
ExpoMamba: Exploiting Frequency SSM Blocks for Efficient and Effective Image EnhancementCode1
EXTENDING CONDITIONAL CONVOLUTION STRUCTURES FOR ENHANCING MULTITASKING CONTINUAL LEARNINGCode1
Faith-Shap: The Faithful Shapley Interaction IndexCode1
Exploring _0 Sparsification for Inference-free Sparse RetrieversCode1
Adaptive Fourier Neural Operators: Efficient Token Mixers for TransformersCode1
Bidirectional Recurrence for Cardiac Motion Tracking with Gaussian Process Latent CodingCode1
Efficient Learning of Mesh-Based Physical Simulation with BSMS-GNNCode1
Exploring Quality and Generalizability in Parameterized Neural Audio EffectsCode1
FAMO: Fast Adaptive Multitask OptimizationCode1
Adaptive Focus for Efficient Video RecognitionCode1
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1ViTaLHamming Loss0.05—Unverified