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 1951–1960 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
GraphMamba: An Efficient Graph Structure Learning Vision Mamba for Hyperspectral Image ClassificationCode1
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1ViTaLHamming Loss0.05—Unverified