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

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Showing 1251–1300 of 4891 papers

TitleStatusHype
Neural network-enhanced integrators for simulating ordinary differential equations—0
Confidence-Aware Learning Optimal Terminal Guidance via Gaussian Process Regression—0
AI2STOW: End-to-End Deep Reinforcement Learning to Construct Master Stowage Plans under Demand UncertaintyCode0
Planning Safety Trajectories with Dual-Phase, Physics-Informed, and Transportation Knowledge-Driven Large Language ModelsCode0
Thanos: A Block-wise Pruning Algorithm for Efficient Large Language Model CompressionCode0
Loss Functions in Deep Learning: A Comprehensive Review—0
Mapping at First Sense: A Lightweight Neural Network-Based Indoor Structures Prediction Method for Robot Autonomous Exploration—0
Electromyography-Based Gesture Recognition: Hierarchical Feature Extraction for Enhanced Spatial-Temporal Dynamics—0
Mathematical Modeling of Option Pricing with an Extended Black-Scholes Framework—0
On the Connection Between Diffusion Models and Molecular Dynamics—0
RF-BayesPhysNet: A Bayesian rPPG Uncertainty Estimation Method for Complex ScenariosCode0
DP-LET: An Efficient Spatio-Temporal Network Traffic Prediction Framework—0
REJEPA: A Novel Joint-Embedding Predictive Architecture for Efficient Remote Sensing Image Retrieval—0
Hybrid Real- and Complex-valued Neural Network Architecture—0
Integrating Identity-Based Identification against Adaptive Adversaries in Federated Learning—0
Advancing Semantic Caching for LLMs with Domain-Specific Embeddings and Synthetic Data—0
Towards Assessing Deep Learning Test Input Generators—0
Analytical Discovery of Manifold with Machine Learning—0
Improving Harmful Text Detection with Joint Retrieval and External Knowledge—0
A Sensorimotor Vision Transformer—0
Representing Flow Fields with Divergence-Free Kernels for Reconstruction—0
Overcoming Vocabulary Constraints with Pixel-level Fallback—0
3D Gaussian Inverse Rendering with Approximated Global Illumination—0
High Dimensional Bayesian Optimization using Lasso Variable SelectionCode0
CFMD: Dynamic Cross-layer Feature Fusion for Salient Object Detection—0
An Explainable Reconfiguration-Based Optimization Algorithm for Industrial and Reliability-Redundancy Allocation Problems—0
FlowMotion: Target-Predictive Conditional Flow Matching for Jitter-Reduced Text-Driven Human Motion Generation—0
Accelerating IoV Intrusion Detection: Benchmarking GPU-Accelerated vs CPU-Based ML Libraries—0
SpikeSift: A Computationally Efficient and Drift-Resilient Spike Sorting Algorithm—0
Is Temporal Prompting All We Need For Limited Labeled Action Recognition?—0
ToolACE-R: Tool Learning with Adaptive Self-Refinement—0
UniViTAR: Unified Vision Transformer with Native Resolution—0
LLMPi: Optimizing LLMs for High-Throughput on Raspberry Pi—0
Test-time Adaptation for Foundation Medical Segmentation Model without Parametric Updates—0
Revisiting Funnel Transformers for Modern LLM Architectures with Comprehensive Ablations in Training and Inference Configurations—0
Robust Channel Estimation for Optical Wireless Communications Using Neural NetworkCode0
FLAMES: A Hybrid Spiking-State Space Model for Adaptive Memory Retention in Event-Based Learning—0
SentenceKV: Efficient LLM Inference via Sentence-Level Semantic KV Caching—0
Dynamic Graph Structure Estimation for Learning Multivariate Point Process using Spiking Neural Networks—0
MetaLoRA: Tensor-Enhanced Adaptive Low-Rank Fine-tuning—0
Benchmarking Federated Machine Unlearning methods for Tabular Data—0
Learning-Based Approximate Nonlinear Model Predictive Control Motion Cueing—0
Efficient n-body simulations using physics informed graph neural networks—0
FedPaI: Achieving Extreme Sparsity in Federated Learning via Pruning at Initialization—0
DynMoLE: Boosting Mixture of LoRA Experts Fine-Tuning with a Hybrid Routing MechanismCode0
On the Steady-State Distributionally Robust Kalman FilterCode0
CoMatch: Dynamic Covisibility-Aware Transformer for Bilateral Subpixel-Level Semi-Dense Image Matching—0
Tree-Guided L_1-Convex ClusteringCode0
Pan-LUT: Efficient Pan-sharpening via Learnable Look-Up Tables—0
SU-YOLO: Spiking Neural Network for Efficient Underwater Object DetectionCode0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1ViTaLHamming Loss0.05—Unverified