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 3476–3500 of 4891 papers

TitleStatusHype
Smart Interference Management xApp using Deep Reinforcement Learning—0
Learning to Modulate Random Weights: Neuromodulation-inspired Neural Networks For Efficient Continual LearningCode0
DaViT: Dual Attention Vision TransformersCode2
Multi-task nonparallel support vector machine for classification—0
Deep learning, stochastic gradient descent and diffusion maps—0
A Temporal-oriented Broadcast ResNet for COVID-19 Detection—0
Dynamic Multimodal FusionCode1
Fast Aquatic Swimmer Optimization with Differentiable Projective Dynamics and Neural Network Hydrodynamic Models—0
Adaptive Divergence-based Non-negative Latent Factor Analysis—0
Meta-Sampler: Almost-Universal yet Task-Oriented Sampling for Point CloudsCode1
On Affine Policies for Wasserstein Distributionally Robust Unit Commitment—0
Surrogate Assisted Evolutionary Multi-objective Optimisation applied to a Pressure Swing Adsorption system—0
Bunched LPCNet2: Efficient Neural Vocoders Covering Devices from Cloud to Edge—0
Straightening skewed markets with an index tracking optimizationless portfolio—0
Embedding Recurrent Layers with Dual-Path Strategy in a Variant of Convolutional Network for Speaker-Independent Speech Separation—0
Distributionally Robust Model Predictive Control with Total Variation Distance—0
DepthGAN: GAN-based Depth Generation of Indoor Scenes from Semantic Layouts—0
Randomized Sharpness-Aware Training for Boosting Computational Efficiency in Deep Learning—0
Autonomous Wheel Loader Trajectory Tracking Control Using LPV-MPC—0
CryoAI: Amortized Inference of Poses for Ab Initio Reconstruction of 3D Molecular Volumes from Real Cryo-EM ImagesCode1
Neural Theorem Provers Delineating Search Area Using RNN—0
Efficient universal shuffle attack for visual object tracking—0
Change Detection from Synthetic Aperture Radar Images via Dual Path Denoising Network—0
Integrating Dependency Tree Into Self-attention for Sentence Representation—0
Survival Prediction of Brain Cancer with Incomplete Radiology, Pathology, Genomics, and Demographic Data—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1ViTaLHamming Loss0.05—Unverified