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

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Showing 201–250 of 4891 papers

TitleStatusHype
A Light-Weight Framework for Open-Set Object Detection with Decoupled Feature Alignment in Joint SpaceCode2
DNABERT-2: Efficient Foundation Model and Benchmark For Multi-Species GenomeCode2
SoundCTM: Unifying Score-based and Consistency Models for Full-band Text-to-Sound GenerationCode2
Spectral-Refiner: Accurate Fine-Tuning of Spatiotemporal Fourier Neural Operator for Turbulent FlowsCode2
Generalized and Efficient 2D Gaussian Splatting for Arbitrary-scale Super-ResolutionCode2
Fast-SNARF: A Fast Deformer for Articulated Neural FieldsCode2
FLowHigh: Towards Efficient and High-Quality Audio Super-Resolution with Single-Step Flow MatchingCode2
FastBlend: a Powerful Model-Free Toolkit Making Video Stylization EasierCode2
Fast and Accurate Blind Flexible DockingCode2
Fast Calibrated Explanations: Efficient and Uncertainty-Aware Explanations for Machine Learning ModelsCode2
Agent Attention: On the Integration of Softmax and Linear AttentionCode2
Fast Adversarial Attacks on Language Models In One GPU MinuteCode2
Fast FullSubNet: Accelerate Full-band and Sub-band Fusion Model for Single-channel Speech EnhancementCode2
Flow Matching in Latent SpaceCode2
Grappa -- A Machine Learned Molecular Mechanics Force FieldCode2
LoRA-IR: Taming Low-Rank Experts for Efficient All-in-One Image RestorationCode2
EfficientAD: Accurate Visual Anomaly Detection at Millisecond-Level LatenciesCode2
Boosting Light-Weight Depth Estimation Via Knowledge DistillationCode1
Exploring Quality and Generalizability in Parameterized Neural Audio EffectsCode1
Exploiting Redundancy: Separable Group Convolutional Networks on Lie GroupsCode1
EViT: An Eagle Vision Transformer with Bi-Fovea Self-AttentionCode1
Exploring _0 Sparsification for Inference-free Sparse RetrieversCode1
ExpoMamba: Exploiting Frequency SSM Blocks for Efficient and Effective Image EnhancementCode1
Estimating the Optimal Covariance with Imperfect Mean in Diffusion Probabilistic ModelsCode1
Efficient Learning of Mesh-Based Physical Simulation with BSMS-GNNCode1
Event-based Video Reconstruction via Potential-assisted Spiking Neural NetworkCode1
Enhancing Medical Image Registration via Appearance Adjustment NetworksCode1
From Claims to Evidence: A Unified Framework and Critical Analysis of CNN vs. Transformer vs. Mamba in Medical Image SegmentationCode1
Equivariant Hypergraph Diffusion Neural OperatorsCode1
Towards Reliable Medical Image Segmentation by utilizing Evidential Calibrated UncertaintyCode1
EXTENDING CONDITIONAL CONVOLUTION STRUCTURES FOR ENHANCING MULTITASKING CONTINUAL LEARNINGCode1
End-to-end Prostate Cancer Detection in bpMRI via 3D CNNs: Effects of Attention Mechanisms, Clinical Priori and Decoupled False Positive ReductionCode1
Embedding-Free Transformer with Inference Spatial Reduction for Efficient Semantic SegmentationCode1
3-D Short-Range Imaging With Irregular MIMO Arrays Using NUFFT-Based Range Migration AlgorithmCode1
Embracing Collaboration Over Competition: Condensing Multiple Prompts for Visual In-Context LearningCode1
Energy-based physics-informed neural network for frictionless contact problems under large deformationCode1
Benchmarking the Robustness of Spatial-Temporal Models Against CorruptionsCode1
Benchmark Dataset for Precipitation Forecasting by Post-Processing the Numerical Weather PredictionCode1
Efficient Two-Stream Network for Violence Detection Using Separable Convolutional LSTMCode1
Bidirectional Recurrence for Cardiac Motion Tracking with Gaussian Process Latent CodingCode1
BetterNet: An Efficient CNN Architecture with Residual Learning and Attention for Precision Polyp SegmentationCode1
Electronic-structure properties from atom-centered predictions of the electron densityCode1
Efficient Neural Network Robustness Certification with General Activation FunctionsCode1
SE(3) Equivariant Graph Neural Networks with Complete Local FramesCode1
Estimating Koopman operators with sketching to provably learn large scale dynamical systemsCode1
Birdie: Advancing State Space Models with Reward-Driven Objectives and CurriculaCode1
Efficient Neural Implicit Representation for 3D Human ReconstructionCode1
Evidential Deep Learning: Enhancing Predictive Uncertainty Estimation for Earth System Science ApplicationsCode1
Exploiting Deblurring Networks for Radiance FieldsCode1
EfficientPose: Scalable single-person pose estimationCode1
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1ViTaLHamming Loss0.05—Unverified