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

Showing 181190 of 4891 papers

TitleStatusHype
InteractRank: Personalized Web-Scale Search Pre-Ranking with Cross Interaction FeaturesCode2
Multi-Modal Mamba Modeling for Survival Prediction (M4Survive): Adapting Joint Foundation Model RepresentationsCode2
Fast-SNARF: A Fast Deformer for Articulated Neural FieldsCode2
OmniQuant: Omnidirectionally Calibrated Quantization for Large Language ModelsCode2
Fast FullSubNet: Accelerate Full-band and Sub-band Fusion Model for Single-channel Speech EnhancementCode2
Fast and Accurate Blind Flexible DockingCode2
Fast Adversarial Attacks on Language Models In One GPU MinuteCode2
FastBlend: a Powerful Model-Free Toolkit Making Video Stylization EasierCode2
Parameter-Inverted Image Pyramid NetworksCode2
Erwin: A Tree-based Hierarchical Transformer for Large-scale Physical SystemsCode2
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1ViTaLHamming Loss0.05Unverified