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 1851–1900 of 4891 papers

TitleStatusHype
Lightweight Safety Classification Using Pruned Language Models—0
Refining Salience-Aware Sparse Fine-Tuning Strategies for Language ModelsCode0
Threshold Neuron: A Brain-inspired Artificial Neuron for Efficient On-device Inference—0
Subspace Langevin Monte Carlo—0
PreMixer: MLP-Based Pre-training Enhanced MLP-Mixers for Large-scale Traffic Forecasting—0
Compressed Sensing Based Residual Recovery Algorithms and Hardware for Modulo Sampling—0
Efficient Oriented Object Detection with Enhanced Small Object Recognition in Aerial Images—0
Design of Restricted Normalizing Flow towards Arbitrary Stochastic Policy with Computational Efficiency—0
SWAN: SGD with Normalization and Whitening Enables Stateless LLM Training—0
Deep Learning for Resilient Adversarial Decision Fusion in Byzantine Networks—0
Core Context Aware Attention for Long Context Language Modeling—0
A partial likelihood approach to tree-based density modeling and its application in Bayesian inference—0
CNNtention: Can CNNs do better with Attention?Code0
Acceleration and Parallelization Methods for ISRS EGN Model—0
Efficient Object-centric Representation Learning with Pre-trained Geometric Prior—0
The Open Source Advantage in Large Language Models (LLMs)—0
Accelerating Sparse Graph Neural Networks with Tensor Core Optimization—0
Adapting Segment Anything Model (SAM) to Experimental Datasets via Fine-Tuning on GAN-based Simulation: A Case Study in Additive ManufacturingCode0
SweepEvGS: Event-Based 3D Gaussian Splatting for Macro and Micro Radiance Field Rendering from a Single Sweep—0
Optimal Gradient Checkpointing for Sparse and Recurrent Architectures using Off-Chip Memory—0
Scalable Temporal Anomaly Causality Discovery in Large Systems: Achieving Computational Efficiency with Binary Anomaly Flag DataCode0
A Comprehensive Survey of Action Quality Assessment: Method and Benchmark—0
A Comparative Study on Dynamic Graph Embedding based on Mamba and Transformers—0
Deployment Pipeline from Rockpool to Xylo for Edge Computing—0
A Diagrammatic Approach to Improve Computational Efficiency in Group Equivariant Neural Networks—0
RWKV-Lite: Deeply Compressed RWKV for Resource-Constrained Devices—0
Enhancing Off-Grid One-Bit DOA Estimation with Learning-Based Sparse Bayesian Approach for Non-Uniform Sparse Array—0
Pretrained Event Classification Model for High Energy Physics Analysis—0
Reliable and superior elliptic Fourier descriptor normalization and its application software ElliShape with efficient image processing—0
Task Diversity in Bayesian Federated Learning: Simultaneous Processing of Classification and RegressionCode0
Audio-based Anomaly Detection in Industrial Machines Using Deep One-Class Support Vector Data Description—0
Evaluating the effectiveness, reliability and efficiency of a multi-objective sequential optimization approach for building performance design—0
Optimal Bounds for Private Minimum Spanning Trees via Input Perturbation—0
A Cascaded Dilated Convolution Approach for Mpox Lesion ClassificationCode0
Isogeometric Analysis for the Pricing of Financial Derivatives with Nonlinear Models: Convertible Bonds and Options—0
evS2CP: Real-time Simultaneous Speed and Charging Planner for Connected Electric Vehicles—0
Mojito: Motion Trajectory and Intensity Control for Video Generation—0
Operator Learning for Robust Stabilization of Linear Markov-Jumping Hyperbolic PDEs—0
Stellar parameter prediction and spectral simulation using machine learning—0
Wait-Less Offline Tuning and Re-solving for Online Decision Making—0
Quantum Kernel-Based Long Short-term Memory for Climate Time-Series Forecasting—0
From Noise to Nuance: Advances in Deep Generative Image Models—0
New keypoint-based approach for recognising British Sign Language (BSL) from sequences—0
FLRONet: Deep Operator Learning for High-Fidelity Fluid Flow Field Reconstruction from Sparse Sensor Measurements—0
Improving Satellite Imagery Masking using Multi-task and Transfer Learning—0
Breaking the Bias: Recalibrating the Attention of Industrial Anomaly Detection—0
Two-way Node Popularity Model for Directed and Bipartite NetworksCode0
Efficient Gravitational Wave Parameter Estimation via Knowledge Distillation: A ResNet1D-IAF Approach—0
Mixture of Experts Meets Decoupled Message Passing: Towards General and Adaptive Node ClassificationCode0
DiffRaman: A Conditional Latent Denoising Diffusion Probabilistic Model for Bacterial Raman Spectroscopy Identification Under Limited Data Conditions—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1ViTaLHamming Loss0.05—Unverified