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 1951–2000 of 4891 papers

TitleStatusHype
Advances in the Simulation and Modeling of Complex Systems using Dynamical Graph Grammars—0
TokenSHAP: Interpreting Large Language Models with Monte Carlo Shapley Value EstimationCode2
RAPiD-Seg: Range-Aware Pointwise Distance Distribution Networks for 3D LiDAR SegmentationCode1
Learning a Mini-batch Graph Transformer via Two-stage Interaction AugmentationCode0
Approximating particle-based clustering dynamics by stochastic PDEs—0
MonoSparse-CAM: Efficient Tree Model Processing via Monotonicity and Sparsity in CAMs—0
Human-like Episodic Memory for Infinite Context LLMsCode3
Deep Bag-of-Words Model: An Efficient and Interpretable Relevance Architecture for Chinese E-Commerce—0
Model Tells You Where to Merge: Adaptive KV Cache Merging for LLMs on Long-Context Tasks—0
Faster Machine Unlearning via Natural Gradient Descent—0
GraphMamba: An Efficient Graph Structure Learning Vision Mamba for Hyperspectral Image ClassificationCode1
DMM: Disparity-guided Multispectral Mamba for Oriented Object Detection in Remote SensingCode1
Machine Unlearning for Medical Imaging—0
HDKD: Hybrid Data-Efficient Knowledge Distillation Network for Medical Image ClassificationCode0
MLRS-PDS: A Meta-learning recommendation of dynamic ensemble selection pipelinesCode0
Towards Human-Like Driving: Active Inference in Autonomous Vehicle Control—0
Pseudo-perplexity in One Fell Swoop for Protein Fitness Estimation—0
PCAC-GAN: A Sparse-Tensor-Based Generative Adversarial Network for 3D Point Cloud Attribute Compression—0
A third-order finite difference weighted essentially non-oscillatory scheme with shallow neural network—0
Multi-Fidelity Bayesian Neural Network for Uncertainty Quantification in Transonic Aerodynamic Loads—0
Learning local equivariant representations for quantum operatorsCode2
Igea: a Decoder-Only Language Model for Biomedical Text Generation in Italian—0
Mamba Hawkes Process—0
The Solution for the AIGC Inference Performance Optimization Competition—0
LMSeg: A deep graph message-passing network for efficient and accurate semantic segmentation of large-scale 3D landscape meshes—0
Waterfall: Framework for Robust and Scalable Text Watermarking and Provenance for LLMsCode1
DASS: Distilled Audio State Space Models Are Stronger and More Duration-Scalable LearnersCode1
QET: Enhancing Quantized LLM Parameters and KV cache Compression through Element Substitution and Residual Clustering—0
Prediction-Free Coordinated Dispatch of Microgrid: A Data-Driven Online Optimization Approach—0
Mixture of A Million ExpertsCode2
OSPC: Artificial VLM Features for Hateful Meme Detection—0
Feature-Specific Coefficients of Determination in Tree Ensembles—0
Improving Conversational Abilities of Quantized Large Language Models via Direct Preference Alignment—0
Plant Doctor: A hybrid machine learning and image segmentation software to quantify plant damage in video footage—0
LivePortrait: Efficient Portrait Animation with Stitching and Retargeting ControlCode11
Classification of Power Quality Disturbances Using Resnet with Channel Attention Mechanism—0
UltraPixel: Advancing Ultra-High-Resolution Image Synthesis to New Peaks—0
OpenSlot: Mixed Open-Set Recognition with Object-Centric Learning—0
DiGRAF: Diffeomorphic Graph-Adaptive Activation FunctionCode1
On the Robustness of Graph Reduction Against GNN Backdoor—0
Trajectory Tracking for UAVs: An Interpolating Control Approach—0
Multifidelity Cross-validation—0
PointViG: A Lightweight GNN-based Model for Efficient Point Cloud Analysis—0
Hyperspectral Pansharpening: Critical Review, Tools and Future PerspectivesCode1
SpectralKAN: Kolmogorov-Arnold Network for Hyperspectral Images Change DetectionCode0
On Statistical Rates and Provably Efficient Criteria of Latent Diffusion Transformers (DiTs)—0
Efficient Automated Circuit Discovery in Transformers using Contextual Decomposition—0
NeurIPS 2024 ML4CFD Competition: Harnessing Machine Learning for Computational Fluid Dynamics in Airfoil Design—0
PolygonGNN: Representation Learning for Polygonal Geometries with Heterogeneous Visibility GraphCode1
Aeroengine performance prediction using a physical-embedded data-driven method—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1ViTaLHamming Loss0.05—Unverified