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 1801–1850 of 4891 papers

TitleStatusHype
American option pricing using generalised stochastic hybrid systems—0
Tiny-Toxic-Detector: A compact transformer-based model for toxic content detection—0
A Minibatch-SGD-Based Learning Meta-Policy for Inventory Systems with Myopic Optimal Policy—0
Gradient-free variational learning with conditional mixture networksCode1
LLaVA-MoD: Making LLaVA Tiny via MoE Knowledge DistillationCode3
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
MSFMamba: Multi-Scale Feature Fusion State Space Model for Multi-Source Remote Sensing Image ClassificationCode1
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
Quantum-Powered Personalized Learning—0
FreqINR: Frequency Consistency for Implicit Neural Representation with Adaptive DCT Frequency Loss—0
3D-RCNet: Learning from Transformer to Build a 3D Relational ConvNet for Hyperspectral Image ClassificationCode2
TraIL-Det: Transformation-Invariant Local Feature Networks for 3D LiDAR Object Detection with Unsupervised Pre-Training—0
Batch-FPM: Random batch-update multi-parameter physical Fourier ptychography neural network—0
LowCLIP: Adapting the CLIP Model Architecture for Low-Resource Languages in Multimodal Image Retrieval TaskCode0
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
Data-Driven Parametrization of Molecular Mechanics Force Fields for Expansive Chemical Space CoverageCode2
Mastering the Digital Art of War: Developing Intelligent Combat Simulation Agents for Wargaming Using Hierarchical Reinforcement Learning—0
GSFusion: Online RGB-D Mapping Where Gaussian Splatting Meets TSDF FusionCode3
Extrinsic Fluctuations in the p53 Cycle—0
Enhancing Transferability of Adversarial Attacks with GE-AdvGAN+: A Comprehensive Framework for Gradient Editing—0
Deep Learning Improvements for Sparse Spatial Field Reconstruction—0
Leveraging Fine-Tuned Retrieval-Augmented Generation with Long-Context Support: For 3GPP StandardsCode1
MambaOcc: Visual State Space Model for BEV-based Occupancy Prediction with Local Adaptive ReorderingCode0
Efficient Detection of Toxic Prompts in Large Language Models—0
EE-MLLM: A Data-Efficient and Compute-Efficient Multimodal Large Language Model—0
Quantifying Behavioural Distance Between Mathematical Expressions—0
Approximation of the Proximal Operator of the _ Norm Using a Neural NetworkCode0
UKAN: Unbound Kolmogorov-Arnold Network Accompanied with Accelerated Library—0
HMoE: Heterogeneous Mixture of Experts for Language Modeling—0
A Lightweight Modular Framework for Low-Cost Open-Vocabulary Object Detection TrainingCode0
Ensemble Prediction via Covariate-dependent StackingCode0
Neural Horizon Model Predictive Control -- Increasing Computational Efficiency with Neural Networks—0
Implicit Grid Convolution for Multi-Scale Image Super-ResolutionCode1
ExpoMamba: Exploiting Frequency SSM Blocks for Efficient and Effective Image EnhancementCode1
MambaLoc: Efficient Camera Localisation via State Space Model—0
Efficient Budget Allocation for Large-Scale LLM-Enabled Virtual Screening—0
ELASTIC: Efficient Linear Attention for Sequential Interest Compression—0
CTR-KAN: KAN for Adaptive High-Order Feature Interaction ModelingCode0
Bee-yond the Plateau: Training QNNs with Swarm Algorithms—0
SpectralEarth: Training Hyperspectral Foundation Models at ScaleCode1
ColorMamba: Towards High-quality NIR-to-RGB Spectral Translation with MambaCode0
MobileMEF: Fast and Efficient Method for Multi-Exposure FusionCode1
FlashGS: Efficient 3D Gaussian Splatting for Large-scale and High-resolution RenderingCode3
H_2-optimal Model Reduction of Linear Quadratic Output Systems in Finite Frequency Range—0
MetaSeg: MetaFormer-based Global Contexts-aware Network for Efficient Semantic SegmentationCode1
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1ViTaLHamming Loss0.05—Unverified