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 4351–4400 of 4891 papers

TitleStatusHype
ParetoTracker: Understanding Population Dynamics in Multi-objective Evolutionary Algorithms through Visual AnalyticsCode0
Parsing Tweets into Universal DependenciesCode0
Let SSMs be ConvNets: State-space Modeling with Optimal Tensor ContractionsCode0
E-detectors: a nonparametric framework for sequential change detectionCode0
A framework for deep learning emulation of numerical models with a case study in satellite remote sensingCode0
Partially Stochastic Infinitely Deep Bayesian Neural NetworksCode0
Graph Learning from Data under Structural and Laplacian ConstraintsCode0
Safety Verification and Robustness Analysis of Neural Networks via Quadratic Constraints and Semidefinite ProgrammingCode0
Leveraging Hamilton-Jacobi PDEs with time-dependent Hamiltonians for continual scientific machine learningCode0
Step-by-Step Unmasking for Parameter-Efficient Fine-tuning of Large Language ModelsCode0
EDENet: Echo Direction Encoding Network for Place Recognition Based on Ground Penetrating RadarCode0
The Virtues of Laziness in Model-based RL: A Unified Objective and AlgorithmsCode0
PASCO (PArallel Structured COarsening): an overlay to speed up graph clustering algorithmsCode0
Controlling Participation in Federated Learning with FeedbackCode0
Stepwise Alignment for Constrained Language Model Policy OptimizationCode0
Bayesian Compression for Deep LearningCode0
Leveraging Visibility Graphs for Enhanced Arrhythmia Classification with Graph Convolutional NetworksCode0
GraphGAN: Graph Representation Learning with Generative Adversarial NetsCode0
EchoMamba4Rec: Harmonizing Bidirectional State Space Models with Spectral Filtering for Advanced Sequential RecommendationCode0
Graph Degree Linkage: Agglomerative Clustering on a Directed GraphCode0
Path-integral molecular dynamics with actively-trained and universal machine learning force fieldsCode0
Graph Convolutional Neural Networks with Diverse Negative Samples via Decomposed Determinant Point ProcessesCode0
PathMLP: Smooth Path Towards High-order HomophilyCode0
Graph Construction with Flexible Nodes for Traffic Demand PredictionCode0
Granular Ball Twin Support Vector MachineCode0
SA-MLP: A Low-Power Multiplication-Free Deep Network for 3D Point Cloud Classification in Resource-Constrained EnvironmentsCode0
Grafting for Combinatorial Boolean Model using Frequent Itemset MiningCode0
A Lightweight Modular Framework for Low-Cost Open-Vocabulary Object Detection TrainingCode0
LightPure: Realtime Adversarial Image Purification for Mobile Devices Using Diffusion ModelsCode0
LightTR: A Lightweight Framework for Federated Trajectory RecoveryCode0
EBS-CFL: Efficient and Byzantine-robust Secure Clustered Federated LearningCode0
Lightweight Models for Emotional Analysis in VideoCode0
A GPU Implementation of Multi-Guiding Spark Fireworks Algorithm for Efficient Black-Box Neural Network OptimizationCode0
PDE-DKL: PDE-constrained deep kernel learning in high dimensionalityCode0
DynMoLE: Boosting Mixture of LoRA Experts Fine-Tuning with a Hybrid Routing MechanismCode0
Sample and Computationally Efficient Continuous-Time Reinforcement Learning with General Function ApproximationCode0
Peeking with PEAK: Sequential, Nonparametric Composite Hypothesis Tests for Means of Multiple Data StreamsCode0
Likelihood-Free Overcomplete ICA and Applications in Causal DiscoveryCode0
GNNMerge: Merging of GNN Models Without Accessing Training DataCode0
Linear Algorithms for Robust and Scalable Nonparametric Multiclass Probability EstimationCode0
STLGRU: Spatio-Temporal Lightweight Graph GRU for Traffic Flow PredictionCode0
Agentic AI for Behavior-Driven Development Testing Using Large Language ModelsCode0
Efficient State Space Model via Fast Tensor Convolution and Block DiagonalizationCode0
Linear Partial Gromov-Wasserstein EmbeddingCode0
GLUSE: Enhanced Channel-Wise Adaptive Gated Linear Units SE for Onboard Satellite Earth Observation Image ClassificationCode0
Adaptive End-to-End Metric Learning for Zero-Shot Cross-Domain Slot FillingCode0
Linear systems with neural network nonlinearities: Improved stability analysis via acausal Zames-Falb multipliersCode0
Perceptual Piercing: Human Visual Cue-based Object Detection in Low Visibility ConditionsCode0
ThinkGuard: Deliberative Slow Thinking Leads to Cautious GuardrailsCode0
Perfect Spectral Clustering with Discrete CovariatesCode0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1ViTaLHamming Loss0.05—Unverified