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 1821–1830 of 4891 papers

TitleStatusHype
Mastering the Digital Art of War: Developing Intelligent Combat Simulation Agents for Wargaming Using Hierarchical Reinforcement Learning—0
Interpretable breast cancer classification using CNNs on mammographic imagesCode0
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
Quantifying Behavioural Distance Between Mathematical Expressions—0
Efficient Detection of Toxic Prompts in Large Language Models—0
EE-MLLM: A Data-Efficient and Compute-Efficient Multimodal Large Language Model—0
MambaOcc: Visual State Space Model for BEV-based Occupancy Prediction with Local Adaptive ReorderingCode0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1ViTaLHamming Loss0.05—Unverified