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 476–500 of 4891 papers

TitleStatusHype
Mask Image WatermarkingCode1
MATS: An Interpretable Trajectory Forecasting Representation for Planning and ControlCode1
MECCH: Metapath Context Convolution-based Heterogeneous Graph Neural NetworksCode1
DiGRAF: Diffeomorphic Graph-Adaptive Activation FunctionCode1
Differentially Flat Learning-based Model Predictive Control Using a Stability, State, and Input Constraining Safety FilterCode1
Metric-Learning based Deep Hashing Network for Content Based Retrieval of Remote Sensing ImagesCode1
Manydepth2: Motion-Aware Self-Supervised Multi-Frame Monocular Depth Estimation in Dynamic ScenesCode1
MiniSeg: An Extremely Minimum Network for Efficient COVID-19 SegmentationCode1
DiMoSR: Feature Modulation via Multi-Branch Dilated Convolutions for Efficient Image Super-ResolutionCode1
Detach-ROCKET: Sequential feature selection for time series classification with random convolutional kernelsCode1
MMS-LLaMA: Efficient LLM-based Audio-Visual Speech Recognition with Minimal Multimodal Speech TokensCode1
ARNN: Attentive Recurrent Neural Network for Multi-channel EEG Signals to Identify Epileptic SeizuresCode1
Model Editing by Standard Fine-TuningCode1
Model Selection for Offline Reinforcement Learning: Practical Considerations for Healthcare SettingsCode1
ModeTv2: GPU-accelerated Motion Decomposition Transformer for Pairwise Optimization in Medical Image RegistrationCode1
Deep fiber clustering: Anatomically informed fiber clustering with self-supervised deep learning for fast and effective tractography parcellationCode1
DiRe-JAX: A JAX based Dimensionality Reduction Algorithm for Large-scale DataCode1
MoViNets: Mobile Video Networks for Efficient Video RecognitionCode1
mPLUG: Effective and Efficient Vision-Language Learning by Cross-modal Skip-connectionsCode1
Multi^2OIE: Multilingual Open Information Extraction Based on Multi-Head Attention with BERTCode1
Multi\^2OIE: Multilingual Open Information Extraction Based on Multi-Head Attention with BERTCode1
DeepZero: Scaling up Zeroth-Order Optimization for Deep Model TrainingCode1
Deep Transfer Learning for Land Use and Land Cover Classification: A Comparative StudyCode1
Multi-Objective Evolutionary Design of Deep Convolutional Neural Networks for Image ClassificationCode1
DeformUX-Net: Exploring a 3D Foundation Backbone for Medical Image Segmentation with Depthwise Deformable ConvolutionCode1
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1ViTaLHamming Loss0.05—Unverified