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 3076–3100 of 4891 papers

TitleStatusHype
Trajectory Tracking for UAVs: An Interpolating Control Approach—0
TrajFM: A Vehicle Trajectory Foundation Model for Region and Task Transferability—0
TransCamP: Graph Transformer for 6-DoF Camera Pose Estimation—0
TransDAE: Dual Attention Mechanism in a Hierarchical Transformer for Efficient Medical Image Segmentation—0
Transfer Function Analysis and Implementation of Active Disturbance Rejection Control—0
Transfer Learning for Keypoint Detection in Low-Resolution Thermal TUG Test Images—0
Transferred Energy Management Strategies for Hybrid Electric Vehicles Based on Driving Conditions Recognition—0
Transformer-Empowered Actor-Critic Reinforcement Learning for Sequence-Aware Service Function Chain Partitioning—0
Transformers-based architectures for stroke segmentation: A review—0
Transformers in Single Object Tracking: An Experimental Survey—0
Transformers with Joint Tokens and Local-Global Attention for Efficient Human Pose Estimation—0
Transforming Indoor Localization: Advanced Transformer Architecture for NLOS Dominated Wireless Environments with Distributed Sensors—0
Transient Hemodynamics Prediction Using an Efficient Octree-Based Deep Learning Model—0
Transported Memory Networks accelerating Computational Fluid Dynamics—0
Transport Equation based Physics Informed Neural Network to predict the Yield Strength of Architected Materials—0
Treasure What You Have: Exploiting Similarity in Deep Neural Networks for Efficient Video Processing—0
TreeBoN: Enhancing Inference-Time Alignment with Speculative Tree-Search and Best-of-N Sampling—0
TreeDRNet:A Robust Deep Model for Long Term Time Series Forecasting—0
Tree-NET: Enhancing Medical Image Segmentation Through Efficient Low-Level Feature Training—0
Tree-Sliced Wasserstein Distance: A Geometric Perspective—0
Triplet Attention Transformer for Spatiotemporal Predictive Learning—0
TROPHY: A Topologically Robust Physics-Informed Tracking Framework for Tropical Cyclones—0
Tropical Geometry Based Edge Detection Using Min-Plus and Max-Plus Algebra—0
Joint Delay-Phase Precoding Under True-Time Delay Constraints in Wideband Sub-THz Hybrid Massive MIMO Systems—0
Trusted Machine Learning Models Unlock Private Inference for Problems Currently Infeasible with Cryptography—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1ViTaLHamming Loss0.05—Unverified