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 3551–3600 of 4891 papers

TitleStatusHype
Mamba for Scalable and Efficient Personalized Recommendations—0
Mamba Hawkes Process—0
MambaLoc: Efficient Camera Localisation via State Space Model—0
MambaStyle: Efficient StyleGAN Inversion for Real Image Editing with State-Space Models—0
MapBERT: Bitwise Masked Modeling for Real-Time Semantic Mapping Generation—0
Mapping at First Sense: A Lightweight Neural Network-Based Indoor Structures Prediction Method for Robot Autonomous Exploration—0
Mastering the Digital Art of War: Developing Intelligent Combat Simulation Agents for Wargaming Using Hierarchical Reinforcement Learning—0
Materials Learning Algorithms (MALA): Scalable Machine Learning for Electronic Structure Calculations in Large-Scale Atomistic Simulations—0
MATEY: multiscale adaptive foundation models for spatiotemporal physical systems—0
H_2-optimal Model Reduction of Linear Quadratic Output Systems in Finite Frequency Range—0
Mathematical Foundations of Graph-Based Bayesian Semi-Supervised Learning—0
Mathematical foundations of stable RKHSs—0
Mathematical Modeling of Option Pricing with an Extended Black-Scholes Framework—0
Matroid Bandits: Fast Combinatorial Optimization with Learning—0
Mavors: Multi-granularity Video Representation for Multimodal Large Language Model—0
Maximal Volume Matrix Cross Approximation for Image Compression and Least Squares Solution—0
Maximizing Spatio-Temporal Entropy of Deep 3D CNNs for Efficient Video Recognition—0
Maximum-Entropy Adversarial Audio Augmentation for Keyword Spotting—0
MC-CIM: Compute-in-Memory with Monte-Carlo Dropouts for Bayesian Edge Intelligence—0
MC-GRU:a Multi-Channel GRU network for generalized nonlinear structural response prediction across structures—0
MDFN: Multi-Scale Deep Feature Learning Network for Object Detection—0
Mean-Variance Efficient Collaborative Filtering for Stock Recommendation—0
Fast And Efficient Boolean Matrix Factorization By Geometric Segmentation—0
Efficient Automated Circuit Discovery in Transformers using Contextual Decomposition—0
Med-DANet V2: A Flexible Dynamic Architecture for Efficient Medical Volumetric Segmentation—0
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