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 1951–1975 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
Deep Bag-of-Words Model: An Efficient and Interpretable Relevance Architecture for Chinese E-Commerce—0
Human-like Episodic Memory for Infinite Context LLMsCode3
Faster Machine Unlearning via Natural Gradient Descent—0
Model Tells You Where to Merge: Adaptive KV Cache Merging for LLMs on Long-Context Tasks—0
DMM: Disparity-guided Multispectral Mamba for Oriented Object Detection in Remote SensingCode1
GraphMamba: An Efficient Graph Structure Learning Vision Mamba for Hyperspectral Image ClassificationCode1
HDKD: Hybrid Data-Efficient Knowledge Distillation Network for Medical Image ClassificationCode0
Towards Human-Like Driving: Active Inference in Autonomous Vehicle Control—0
MLRS-PDS: A Meta-learning recommendation of dynamic ensemble selection pipelinesCode0
Machine Unlearning for Medical Imaging—0
Pseudo-perplexity in One Fell Swoop for Protein Fitness Estimation—0
A third-order finite difference weighted essentially non-oscillatory scheme with shallow neural network—0
PCAC-GAN: A Sparse-Tensor-Based Generative Adversarial Network for 3D Point Cloud Attribute Compression—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
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1ViTaLHamming Loss0.05—Unverified