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 51–100 of 4891 papers

TitleStatusHype
Residual Connection-Enhanced ConvLSTM for Lithium Dendrite Growth Prediction—0
Scalable Machine Learning Algorithms using Path Signatures—0
OmniReflect: Discovering Transferable Constitutions for LLM agents via Neuro-Symbolic Reflections—0
Optimal Depth of Neural Networks—0
PET Tracer Separation Using Conditional Diffusion Transformer with Multi-latent Space LearningCode0
Client Selection Strategies for Federated Semantic Communications in Heterogeneous IoT Networks—0
Speeding up Local Optimization in Vehicle Routing with Tensor-based GPU Acceleration—0
Multimodal Fused Learning for Solving the Generalized Traveling Salesman Problem in Robotic Task Planning—0
Cross-Modal Obfuscation for Jailbreak Attacks on Large Vision-Language Models—0
MoiréXNet: Adaptive Multi-Scale Demoiréing with Linear Attention Test-Time Training and Truncated Flow Matching Prior—0
Efficient Transformations in Deep Learning Convolutional Neural Networks—0
FlowRAM: Grounding Flow Matching Policy with Region-Aware Mamba Framework for Robotic Manipulation—0
Islanding Strategy for Smart Grids Oriented to Resilience Enhancement and Its Power Supply Range Optimization—0
Brain Stroke Classification Using Wavelet Transform and MLP Neural Networks on DWI MRI Images—0
Efficient Malware Detection with Optimized Learning on High-Dimensional Features—0
Enhancing One-run Privacy Auditing with Quantile Regression-Based Membership Inference—0
Adaptive Action Duration with Contextual Bandits for Deep Reinforcement Learning in Dynamic EnvironmentsCode0
Swarm-STL: A Framework for Motion Planning in Large-Scale, Multi-Swarm Systems—0
sHGCN: Simplified hyperbolic graph convolutional neural networksCode0
Accurate and scalable exchange-correlation with deep learning—0
Expressive Score-Based Priors for Distribution Matching with Geometry-Preserving RegularizationCode0
A Comprehensive Survey on Deep Learning Solutions for 3D Flood Mapping—0
Finding Optimal Kernel Size and Dimension in Convolutional Neural Networks An Architecture Optimization Approach—0
Mitigating loss of variance in ensemble data assimilation: machine learning-based and distance-free localizations for better covariance estimation—0
Improving Prostate Gland Segmenting Using Transformer based Architectures—0
Sparse Convolutional Recurrent Learning for Efficient Event-based Neuromorphic Object Detection—0
Hybrid Polynomial Zonotopes: A Set Representation for Reachability Analysis in Hybrid Nonaffine Systems—0
GreedyPrune: Retenting Critical Visual Token Set for Large Vision Language Models—0
A Memetic Walrus Algorithm with Expert-guided Strategy for Adaptive Curriculum Sequencing—0
A Technical Study into Small Reasoning Language Models—0
VideoPDE: Unified Generative PDE Solving via Video Inpainting Diffusion Models—0
Avoiding Obfuscation with Prover-Estimator Debate—0
EBS-CFL: Efficient and Byzantine-robust Secure Clustered Federated LearningCode0
IKDiffuser: A Generative Inverse Kinematics Solver for Multi-arm Robots via Diffusion Model—0
Structural feature enhanced transformer for fine-grained image recognition—0
Adaptive Multi-resolution Hash-Encoding Framework for INR-based Dental CBCT Reconstruction with Truncated FOV—0
Deep Fusion of Ultra-Low-Resolution Thermal Camera and Gyroscope Data for Lighting-Robust and Compute-Efficient Rotational Odometry—0
Advances in LLMs with Focus on Reasoning, Adaptability, Efficiency and Ethics—0
Directed Acyclic Graph Convolutional Networks—0
Data-driven approaches to inverse problems—0
Vectorized Sparse Second-Order Forward Automatic Differentiation for Optimal Control Direct MethodsCode1
A Hybrid Adaptive Nash Equilibrium Solver for Distributed Multi-Agent Systems with Game-Theoretic Jump Triggering—0
Relaxation-Free Min-k-Partition for PCI Assignment in 5G Networks—0
Joint System Modeling Approach for Fault Simulation of Start-er/Generator and Gas Generator in All-Electric APU—0
Energy-Efficient Deep Learning for Traffic Classification on Microcontrollers—0
Structure and asymptotic preserving deep neural surrogates for uncertainty quantification in multiscale kinetic equations—0
High-resolution efficient image generation from WiFi CSI using a pretrained latent diffusion model—0
NeuroPAL: Punctuated Anytime Learning with Neuroevolution for Macromanagement in Starcraft: Brood War—0
It's Not the Target, It's the Background: Rethinking Infrared Small Target Detection via Deep Patch-Free Low-Rank RepresentationsCode1
Slimming Down LLMs Without Losing Their Minds—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1ViTaLHamming Loss0.05—Unverified