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 4501–4550 of 4891 papers

TitleStatusHype
GARG-AML against Smurfing: A Scalable and Interpretable Graph-Based Framework for Anti-Money LaunderingCode0
SDLFormer: A Sparse and Dense Locality-enhanced Transformer for Accelerated MR Image ReconstructionCode0
AutoSeqRec: Autoencoder for Efficient Sequential RecommendationCode0
Striving for Faster and Better: A One-Layer Architecture with Auto Re-parameterization for Low-Light Image EnhancementCode0
Two-Stage Neural Contextual Bandits for Personalised News RecommendationCode0
CONCORD: Concept-Informed Diffusion for Dataset DistillationCode0
Tiny Models are the Computational Saver for Large ModelsCode0
Preference Neural NetworkCode0
GAMMA: A General Agent Motion Model for Autonomous DrivingCode0
Computing Valid p-value for Optimal Changepoint by Selective Inference using Dynamic ProgrammingCode0
DPC-Net: Deep Pose Correction for Visual LocalizationCode0
Functional Autoencoder for Smoothing and Representation LearningCode0
Fully Linear Graph Convolutional Networks for Semi-Supervised Learning and ClusteringCode0
Two-Step Question Retrieval for Open-Domain QACode0
MambaOcc: Visual State Space Model for BEV-based Occupancy Prediction with Local Adaptive ReorderingCode0
Two-way Node Popularity Model for Directed and Bipartite NetworksCode0
From Roots to Rewards: Dynamic Tree Reasoning with RLCode0
Computationally Efficient Learning of Statistical ManifoldsCode0
MANO: Exploiting Matrix Norm for Unsupervised Accuracy Estimation Under Distribution ShiftsCode0
FREEtree: A Tree-based Approach for High Dimensional Longitudinal Data With Correlated FeaturesCode0
SEDA: Self-Ensembling ViT with Defensive Distillation and Adversarial Training for robust Chest X-rays ClassificationCode0
Free Parametrization of L2-bounded State Space ModelsCode0
Pretraining Deformable Image Registration Networks with Random ImagesCode0
FrameRS: A Video Frame Compression Model Composed by Self supervised Video Frame Reconstructor and Key Frame SelectorCode0
M-ar-K-Fast Independent Component AnalysisCode0
Fovea Transformer: Efficient Long-Context Modeling with Structured Fine-to-Coarse AttentionCode0
SEDMamba: Enhancing Selective State Space Modelling with Bottleneck Mechanism and Fine-to-Coarse Temporal Fusion for Efficient Error Detection in Robot-Assisted SurgeryCode0
MatchNet: Unifying Feature and Metric Learning for Patch-Based MatchingCode0
A Doubly Stochastic Simulator with Applications in Arrivals Modeling and SimulationCode0
Don't Think It Twice: Exploit Shift Invariance for Efficient Online Streaming Inference of CNNsCode0
Seeded Poisson Factorization: Leveraging domain knowledge to fit topic modelsCode0
Don't Get Lost in the Trees: Streamlining LLM Reasoning by Overcoming Tree Search Exploration PitfallsCode0
Approximation-free Control for Signal Temporal Logic Specifications using Spatiotemporal TubesCode0
Autonomous Sparse Mean-CVaR Portfolio OptimizationCode0
Missing Data Imputation Based on Dynamically Adaptable Structural Equation Modeling with Self-AttentionCode0
SEFD: Semantic-Enhanced Framework for Detecting LLM-Generated TextCode0
FORTRESS: Function-composition Optimized Real-Time Resilient Structural Segmentation via Kolmogorov-Arnold Enhanced Spatial Attention NetworksCode0
Privacy Induces Robustness: Information-Computation Gaps and Sparse Mean EstimationCode0
maxDNN: An Efficient Convolution Kernel for Deep Learning with Maxwell GPUsCode0
A Comparison of Deep Learning Methods for Cell Detection in Digital CytologyCode0
Variance-Aware Linear UCB with Deep Representation for Neural Contextual BanditsCode0
Domain Reduction Strategy for Non Line of Sight ImagingCode0
Maximum Optimality Margin: A Unified Approach for Contextual Linear Programming and Inverse Linear ProgrammingCode0
Segmentation-Based vs. Regression-Based Biomarker Estimation: A Case Study of Fetus Head Circumference Assessment from Ultrasound ImagesCode0
Approximate Message Passing with Parameter Estimation for Heavily Quantized MeasurementsCode0
Privately Learning from Graphs with Applications in Fine-tuning Large Language ModelsCode0
SegRet: An Efficient Design for Semantic Segmentation with Retentive NetworkCode0
A parametric framework for kernel-based dynamic mode decomposition using deep learningCode0
Reachability Analysis Using Constrained Polynomial Logical ZonotopesCode0
Variance-Aware Regret Bounds for Stochastic Contextual Dueling BanditsCode0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1ViTaLHamming Loss0.05—Unverified