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 1351–1375 of 4891 papers

TitleStatusHype
L4acados: Learning-based models for acados, applied to Gaussian process-based predictive controlCode2
Deep Plug-and-Play HIO Approach for Phase Retrieval—0
Controlling Participation in Federated Learning with FeedbackCode0
An Integrated Artificial Intelligence Operating System for Advanced Low-Altitude Aviation Applications—0
Residual Attention Single-Head Vision Transformer Network for Rolling Bearing Fault Diagnosis in Noisy Environments—0
Dynamic Logistic Ensembles with Recursive Probability and Automatic Subset Splitting for Enhanced Binary ClassificationCode0
RS-vHeat: Heat Conduction Guided Efficient Remote Sensing Foundation Model—0
On the Effectiveness of Incremental Training of Large Language ModelsCode0
A Runtime-Adaptive Transformer Neural Network Accelerator on FPGAsCode0
Robust Offline Reinforcement Learning with Linearly Structured f-Divergence Regularization—0
Randomized-Grid Search for Hyperparameter Tuning in Decision Tree Model to Improve Performance of Cardiovascular Disease Classification—0
Enhancing Character-Level Understanding in LLMs through Token Internal Structure LearningCode0
Spatio-temporal Causal Learning for Streamflow Forecasting—0
Perceptually Optimized Super Resolution—0
SCASeg: Strip Cross-Attention for Efficient Semantic Segmentation—0
SuperMat: Physically Consistent PBR Material Estimation at Interactive Rates—0
GMFlow: Global Motion-Guided Recurrent Flow for 6D Object Pose Estimation—0
On the Efficiency of NLP-Inspired Methods for Tabular Deep LearningCode3
Efficient Deployment of Transformer Models in Analog In-Memory Computing HardwareCode0
Star Attention: Efficient LLM Inference over Long SequencesCode3
UVCG: Leveraging Temporal Consistency for Universal Video Protection—0
Flow Annealed Importance Sampling Bootstrap meets Differentiable Particle PhysicsCode0
Dynamic Causal Models of Time-Varying Connectivity—0
VICON: Vision In-Context Operator Networks for Multi-Physics Fluid Dynamics PredictionCode1
DP-CDA: An Algorithm for Enhanced Privacy Preservation in Dataset Synthesis Through Randomized Mixing—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1ViTaLHamming Loss0.05—Unverified