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 551–575 of 4891 papers

TitleStatusHype
A Non-autoregressive Multi-Horizon Flight Trajectory Prediction Framework with Gray Code RepresentationCode1
Posterior Sampling for Deep Reinforcement LearningCode1
Discriminative Co-Saliency and Background Mining Transformer for Co-Salient Object DetectionCode1
Two Birds, One Stone: A Unified Framework for Joint Learning of Image and Video Style TransfersCode1
Learning in latent spaces improves the predictive accuracy of deep neural operatorsCode1
GPr-Net: Geometric Prototypical Network for Point Cloud Few-Shot LearningCode1
DynamicDet: A Unified Dynamic Architecture for Object DetectionCode1
InterFormer: Real-time Interactive Image SegmentationCode1
Not All Features Matter: Enhancing Few-shot CLIP with Adaptive Prior RefinementCode1
Generative Multiplane Neural Radiance for 3D-Aware Image GenerationCode1
Heat flux for semi-local machine-learning potentialsCode1
Marching-Primitives: Shape Abstraction from Signed Distance FunctionCode1
SIESTA: Efficient Online Continual Learning with SleepCode1
Robust Mode Connectivity-Oriented Adversarial Defense: Enhancing Neural Network Robustness Against Diversified _p AttacksCode1
Dynamic Clustering and Cluster Contrastive Learning for Unsupervised Person Re-identificationCode1
Resurrecting Recurrent Neural Networks for Long SequencesCode1
Scaling Up 3D Kernels with Bayesian Frequency Re-parameterization for Medical Image SegmentationCode1
DeepSeeColor: Realtime Adaptive Color Correction for Autonomous Underwater Vehicles via Deep Learning MethodsCode1
LightCTS: A Lightweight Framework for Correlated Time Series ForecastingCode1
Local Causal Discovery for Estimating Causal EffectsCode1
3D Human Pose and Shape Estimation via HybrIK-TransformerCode1
Single Cells Are Spatial Tokens: Transformers for Spatial Transcriptomic Data ImputationCode1
Towards Practical Preferential Bayesian Optimization with Skew Gaussian ProcessesCode1
Graph Mixer NetworksCode1
RD-NAS: Enhancing One-shot Supernet Ranking Ability via Ranking Distillation from Zero-cost ProxiesCode1
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1ViTaLHamming Loss0.05—Unverified