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 1501–1550 of 4891 papers

TitleStatusHype
Efficient CNNs via Passive Filter Pruning—0
Efficient Computation of Relative Pose for Multi-Camera Systems—0
ENOS: Energy-Aware Network Operator Search for Hybrid Digital and Compute-in-Memory DNN Accelerators—0
Efficient Convolutional Neural Network Training with Direct Feedback Alignment—0
Entropy Adaptive Decoding: Dynamic Model Switching for Efficient Inference—0
Efficient Cross-Task Prompt Tuning for Few-Shot Conversational Emotion Recognition—0
Efficient Data-Driven Geologic Feature Detection from Pre-stack Seismic Measurements using Randomized Machine-Learning Algorithm—0
Efficient Data Shapley for Weighted Nearest Neighbor Algorithms—0
DMRA: An Adaptive Line Spectrum Estimation Method through Dynamical Multi-Resolution of Atoms—0
Efficient Degradation-aware Any Image Restoration—0
Backup Plan Constrained Model Predictive Control with Guaranteed Stability—0
Efficient Detector Adaptation for Object Detection in a Video—0
Efficient Diffusion Models for Vision: A Survey—0
Efficient Distance Metric Learning by Adaptive Sampling and Mini-Batch Stochastic Gradient Descent (SGD)—0
Efficient Dual-Blind Deconvolution for Joint Radar-Communication Systems Using ADMM: Enhancing Channel Estimation and Signal Recovery in 5G mmWave Networks—0
Efficient dual-scale generalized Radon-Fourier transform detector family for long time coherent integration—0
Efficient Dynamic Scene Editing via 4D Gaussian-based Static-Dynamic Separation—0
Efficient Economic Model Predictive Control of Water Treatment Process with Learning-based Koopman Operator—0
DMFC-GraspNet: Differentiable Multi-Fingered Robotic Grasp Generation in Cluttered Scenes—0
DLCM: a versatile multi-level solver for heterogeneous multicellular systems—0
Biogeochemistry-Informed Neural Network (BINN) for Improving Accuracy of Model Prediction and Scientific Understanding of Soil Organic Carbon—0
Efficient Ensembles Improve Training Data Attribution—0
Bio-Inspired Classification: Combining Information Theory and Spiking Neural Networks -- Influence of the Learning Rules—0
Efficient fine-grained road segmentation using superpixel-based CNN and CRF models—0
Efficient Folded Attention for 3D Medical Image Reconstruction and Segmentation—0
Efficient Frequency Selective Surface Analysis via End-to-End Model-Based Learning—0
Backup Plan Constrained Model Predictive Control—0
Adaptive and oblivious statistical adversaries are equivalent—0
Online Importance Sampling for Stochastic Gradient Optimization—0
Efficient Gravitational Wave Parameter Estimation via Knowledge Distillation: A ResNet1D-IAF Approach—0
An Efficient and Scalable Collection of Fly-inspired Voting Units for Visual Place Recognition in Changing Environments—0
Efficient identification of linear, parameter-varying, and nonlinear systems with noise models—0
Efficient Image Compression Using Advanced State Space Models—0
Divide, Specialize, and Route: A New Approach to Efficient Ensemble Learning—0
Divide-and-Conquer Strategy for Large-Scale Dynamic Bayesian Network Structure Learning—0
Backstepping Mean-Field Density Control for Large-Scale Heterogeneous Nonlinear Stochastic Systems—0
Diverse super-resolution with pretrained deep hiererarchical VAEs—0
Efficient Large-Scale Multi-Modal Classification—0
DITTO: Diffusion Inference-Time T-Optimization for Music Generation—0
Backpropagation-free Spiking Neural Networks with the Forward-Forward Algorithm—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
A Minibatch-SGD-Based Learning Meta-Policy for Inventory Systems with Myopic Optimal Policy—0
STBLLM: Breaking the 1-Bit Barrier with Structured Binary LLMs—0
Efficiently Predicting Protein Stability Changes Upon Single-point Mutation with Large Language Models—0
Efficient Malware Detection with Optimized Learning on High-Dimensional Features—0
Efficient Meta-Learning for Continual Learning with Taylor Expansion Approximation—0
Efficient Model Agnostic Approach for Implicit Neural Representation Based Arbitrary-Scale Image Super-Resolution—0
Black-box Optimization with Simultaneous Statistical Inference for Optimal Performance—0
Episodic Memory for Learning Subjective-Timescale Models—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1ViTaLHamming Loss0.05—Unverified