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 3576–3600 of 4891 papers

TitleStatusHype
Medical Image Data Provenance for Medical Cyber-Physical System—0
Medical Time Series Classification with Hierarchical Attention-based Temporal Convolutional Networks: A Case Study of Myotonic Dystrophy Diagnosis—0
MEDPNet: Achieving High-Precision Adaptive Registration for Complex Die Castings—0
Membership Inference Attacks Against In-Context Learning—0
Memory-Free and Parallel Computation for Quantized Spiking Neural Networks—0
Memory Networks: Towards Fully Biologically Plausible Learning—0
Merging Classification Predictions with Sequential Information for Lightweight Visual Place Recognition in Changing Environments—0
Message-Passing State-Space Models: Improving Graph Learning with Modern Sequence Modeling—0
MetaGPT: Merging Large Language Models Using Model Exclusive Task Arithmetic—0
Meta-learning characteristics and dynamics of quantum systems—0
Meta-Learning for Multi-objective Reinforcement Learning—0
Meta-Learning for Variational Inference—0
Meta-Learning Divergences of Variational Inference—0
Meta-LoRA: Meta-Learning LoRA Components for Domain-Aware ID Personalization—0
MetaLoRA: Tensor-Enhanced Adaptive Low-Rank Fine-tuning—0
Meta Reasoning for Large Language Models—0
Meta-Sealing: A Revolutionizing Integrity Assurance Protocol for Transparent, Tamper-Proof, and Trustworthy AI System—0
Metropolis Sampling for Constrained Diffusion Models—0
MFTraj: Map-Free, Behavior-Driven Trajectory Prediction for Autonomous Driving—0
MiAMix: Enhancing Image Classification through a Multi-stage Augmented Mixed Sample Data Augmentation Method—0
Micrometer: Micromechanics Transformer for Predicting Mechanical Responses of Heterogeneous Materials—0
Migrating Birds Optimization-Based Feature Selection for Text Classification—0
MIK: Modified Isolation Kernel for Biological Sequence Visualization, Classification, and Clustering—0
MindGYM: Enhancing Vision-Language Models via Synthetic Self-Challenging Questions—0
Minimax Optimal Alternating Minimization for Kernel Nonparametric Tensor Learning—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1ViTaLHamming Loss0.05—Unverified