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 2301–2350 of 4891 papers

TitleStatusHype
InfraLib: Enabling Reinforcement Learning and Decision-Making for Large-Scale Infrastructure Management—0
Shuffle Vision Transformer: Lightweight, Fast and Efficient Recognition of Driver Facial Expression—0
Onboard Satellite Image Classification for Earth Observation: A Comparative Study of ViT ModelsCode0
On the Complexity of Neural Computation in Superposition—0
State-space models are accurate and efficient neural operators for dynamical systemsCode0
Configurable Foundation Models: Building LLMs from a Modular Perspective—0
Fast, High-Quality and Parameter-Efficient Articulatory Synthesis using Differentiable DSP—0
Exact first passage time distribution for second-order reactions in chemical networks—0
Efficient Image Compression Using Advanced State Space Models—0
Relative-Translation Invariant Wasserstein Distance—0
Deep Adaptive Interest Network: Personalized Recommendation with Context-Aware Learning—0
SA-MLP: A Low-Power Multiplication-Free Deep Network for 3D Point Cloud Classification in Resource-Constrained EnvironmentsCode0
Robust Clustering on High-Dimensional Data with Stochastic QuantizationCode0
Efficiently Expanding Receptive Fields: Local Split Attention and Parallel Aggregation for Enhanced Large-scale Point Cloud Semantic Segmentation—0
TransDAE: Dual Attention Mechanism in a Hierarchical Transformer for Efficient Medical Image Segmentation—0
TASL-Net: Tri-Attention Selective Learning Network for Intelligent Diagnosis of Bimodal Ultrasound Video—0
From Pixels to Objects: A Hierarchical Approach for Part and Object Segmentation Using Local and Global Aggregation—0
Free-DyGS: Camera-Pose-Free Scene Reconstruction based on Gaussian Splatting for Dynamic Surgical Videos—0
Multi-frequency Neural Born Iterative Method for Solving 2-D Inverse Scattering Problems—0
Membership Inference Attacks Against In-Context Learning—0
Real-Time Multi-Scene Visibility Enhancement for Promoting Navigational Safety of Vessels Under Complex Weather ConditionsCode0
Style Transfer: From Stitching to Neural Networks—0
Real-Time Weather Image Classification with SVMCode0
DMRA: An Adaptive Line Spectrum Estimation Method through Dynamical Multi-Resolution of Atoms—0
Adapting Physics-Informed Neural Networks for Bifurcation Detection in Ecological Migration Models—0
Advancing Machine Learning in Industry 4.0: Benchmark Framework for Rare-event Prediction in Chemical Processes—0
Dynamical system prediction from sparse observations using deep neural networks with Voronoi tessellation and physics constraintCode0
OpenRANet: Neuralized Spectrum Access by Joint Subcarrier and Power Allocation with Optimization-based Deep LearningCode0
LightPure: Realtime Adversarial Image Purification for Mobile Devices Using Diffusion ModelsCode0
A Scalable k-Medoids Clustering via Whale Optimization Algorithm—0
C-RADAR: A Centralized Deep Learning System for Intrusion Detection in Software Defined Networks—0
Tiny-Toxic-Detector: A compact transformer-based model for toxic content detection—0
Modelling Behaviour of Sensors using a Novel β-divergence based Adaptive Filter—0
A Minibatch-SGD-Based Learning Meta-Policy for Inventory Systems with Myopic Optimal Policy—0
American option pricing using generalised stochastic hybrid systems—0
The Role of Fibration Symmetries in Geometric Deep Learning—0
A Simple Baseline with Single-encoder for Referring Image Segmentation—0
Learning-Based Adaptive Dynamic Routing with Stability Guarantee for a Single-Origin-Single-Destination Network—0
Step-by-Step Unmasking for Parameter-Efficient Fine-tuning of Large Language ModelsCode0
Research Advances and New Paradigms for Biology-inspired Spiking Neural Networks—0
FreqINR: Frequency Consistency for Implicit Neural Representation with Adaptive DCT Frequency Loss—0
LowCLIP: Adapting the CLIP Model Architecture for Low-Resource Languages in Multimodal Image Retrieval TaskCode0
Batch-FPM: Random batch-update multi-parameter physical Fourier ptychography neural network—0
TraIL-Det: Transformation-Invariant Local Feature Networks for 3D LiDAR Object Detection with Unsupervised Pre-Training—0
Quantum-Powered Personalized Learning—0
Prompt-Matcher: Leveraging Large Models to Reduce Uncertainty in Schema Matching Results—0
The Ultimate Guide to Fine-Tuning LLMs from Basics to Breakthroughs: An Exhaustive Review of Technologies, Research, Best Practices, Applied Research Challenges and Opportunities—0
Interpretable breast cancer classification using CNNs on mammographic imagesCode0
Mastering the Digital Art of War: Developing Intelligent Combat Simulation Agents for Wargaming Using Hierarchical Reinforcement Learning—0
Extrinsic Fluctuations in the p53 Cycle—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1ViTaLHamming Loss0.05—Unverified