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 2301–2350 of 4891 papers

TitleStatusHype
Efficient Object-centric Representation Learning with Pre-trained Geometric Prior—0
γ-Net: Superresolving SAR Tomographic Inversion via Deep Learning—0
An Efficient Machine-Learning Approach for PDF Tabulation in Turbulent Combustion Closure—0
Efficient N:M Sparse DNN Training Using Algorithm, Architecture, and Dataflow Co-Design—0
Efficient Neural Ranking using Forward Indexes and Lightweight Encoders—0
Body Transformer: Leveraging Robot Embodiment for Policy Learning—0
An Efficient Local Search Approach for Polarized Community Discovery in Signed Networks—0
Efficient Network Traffic Feature Sets for IoT Intrusion Detection—0
Block building programming for symbolic regression—0
Breast Cancer Histopathology Classification using CBAM-EfficientNetV2 with Transfer Learning—0
Efficient n-body simulations using physics informed graph neural networks—0
BlobCtrl: A Unified and Flexible Framework for Element-level Image Generation and Editing—0
Efficient Multi-Task Inferencing: Model Merging with Gromov-Wasserstein Feature Alignment—0
Efficient MPC for Emergency Evasive Maneuvers, Part I: Hybridization of the Nonlinear Problem—0
Blaze3DM: Marry Triplane Representation with Diffusion for 3D Medical Inverse Problem Solving—0
An Efficient Hierarchical Preconditioner-Learner Architecture for Reconstructing Multi-scale Basis Functions of High-dimensional Subsurface Fluid Flow—0
Accelerating the Evolution of Personalized Automated Lane Change through Lesson Learning—0
Efficient MPC for Emergency Evasive Maneuvers, Part II: Comparative Assessment for Hybrid Control—0
Black-box Optimization with Simultaneous Statistical Inference for Optimal Performance—0
Efficient Model Agnostic Approach for Implicit Neural Representation Based Arbitrary-Scale Image Super-Resolution—0
Efficient Meta-Learning for Continual Learning with Taylor Expansion Approximation—0
Bivariate DeepKriging for Large-scale Spatial Interpolation of Wind Fields—0
An Efficient FPGA Accelerator for Point Cloud—0
Efficient Malware Detection with Optimized Learning on High-Dimensional Features—0
Efficiently Predicting Protein Stability Changes Upon Single-point Mutation with Large Language Models—0
Efficiently Expanding Receptive Fields: Local Split Attention and Parallel Aggregation for Enhanced Large-scale Point Cloud Semantic Segmentation—0
BitNet b1.58 2B4T Technical Report—0
An Efficient Decomposition Framework for Discriminative Segmentation with Supermodular Losses—0
LREA: Low-Rank Efficient Attention on Modeling Long-Term User Behaviors for CTR Prediction—0
Bit Cipher -- A Simple yet Powerful Word Representation System that Integrates Efficiently with Language Models—0
Efficient Long-Range Transformers: You Need to Attend More, but Not Necessarily at Every Layer—0
An Efficient Approach to the Online Multi-Agent Path Finding Problem by Using Sustainable Information—0
Efficient Large-Scale Multi-Modal Classification—0
Efficient Language Model Architectures for Differentially Private Federated Learning—0
Efficient Knowledge Distillation of SAM for Medical Image Segmentation—0
An Efficient Approach to Encoding Context for Spoken Language Understanding—0
Adaptive Sampling for Continuous Group Equivariant Neural Networks—0
Accelerating the discovery of low-energy structure configurations: a computational approach that integrates first-principles calculations, Monte Carlo sampling, and Machine Learning—0
2.5D Super-Resolution Approaches for X-ray Computed Tomography-based Inspection of Additively Manufactured Parts—0
SPINEX-TimeSeries: Similarity-based Predictions with Explainable Neighbors Exploration for Time Series and Forecasting Problems—0
High Performance Im2win and Direct Convolutions using Three Tensor Layouts on SIMD Architectures—0
Action recognition with spatial-temporal discriminative filter banks—0
Efficient Image Compression Using Advanced State Space Models—0
Efficient identification of linear, parameter-varying, and nonlinear systems with noise models—0
An Efficient and Scalable Collection of Fly-inspired Voting Units for Visual Place Recognition in Changing Environments—0
Efficient Gravitational Wave Parameter Estimation via Knowledge Distillation: A ResNet1D-IAF Approach—0
Online Importance Sampling for Stochastic Gradient Optimization—0
An Efficient and Generalizable Symbolic Regression Method for Time Series Analysis—0
Adaptive Resolution Residual Networks -- Generalizing Across Resolutions Easily and Efficiently—0
Efficient Frequency Selective Surface Analysis via End-to-End Model-Based Learning—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1ViTaLHamming Loss0.05—Unverified