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 3051–3100 of 4891 papers

TitleStatusHype
Towards Human-Like Driving: Active Inference in Autonomous Vehicle Control—0
Towards human-level performance on automatic pose estimation of infant spontaneous movements—0
Towards Lightweight and Stable Zero-shot TTS with Self-distilled Representation Disentanglement—0
Towards Multimodal Multitask Scene Understanding Models for Indoor Mobile Agents—0
Towards quantum enhanced adversarial robustness in machine learning—0
Towards Scalable Foundation Model for Multi-modal and Hyperspectral Geospatial Data—0
Towards Unified Modeling for Positive and Negative Preferences in Sign-Aware Recommendation—0
TPDiff: Temporal Pyramid Video Diffusion Model—0
TpopT: Efficient Trainable Template Optimization on Low-Dimensional Manifolds—0
TQ-DiT: Efficient Time-Aware Quantization for Diffusion Transformers—0
Tracking objects using 3D object proposals—0
Tractable Identification of Electric Distribution Networks—0
TRADI: Tracking deep neural network weight distributions for uncertainty estimation—0
TraIL-Det: Transformation-Invariant Local Feature Networks for 3D LiDAR Object Detection with Unsupervised Pre-Training—0
Training and inference of large language models using 8-bit floating point—0
Training Binary Weight Networks via Semi-Binary Decomposition—0
Training Energy-Efficient Deep Spiking Neural Networks with Single-Spike Hybrid Input Encoding—0
Neural network-based CUSUM for online change-point detection—0
Towards Reusable Network Components by Learning Compatible Representations—0
Training or Architecture? How to Incorporate Invariance in Neural Networks—0
Training Sparse Neural Network by Constraining Synaptic Weight on Unit Lp Sphere—0
Training Structured Efficient Convolutional Layers—0
Trajectory Data Suffices for Statistically Efficient Learning in Offline RL with Linear q^π-Realizability and Concentrability—0
Constrained Trajectory Optimization on Matrix Lie Groups via Lie-Algebraic Differential Dynamic Programming—0
Trajectory PHD and CPHD Filters with Unknown Detection Profile—0
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