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 126–150 of 4891 papers

TitleStatusHype
Real-Time Polygonal Semantic Mapping for Humanoid Robot Stair ClimbingCode2
LeYOLO, New Scalable and Efficient CNN Architecture for Object DetectionCode2
LandMarkSystem Technical ReportCode2
L4acados: Learning-based models for acados, applied to Gaussian process-based predictive controlCode2
Large Scale Longitudinal Experiments: Estimation and InferenceCode2
InteractRank: Personalized Web-Scale Search Pre-Ranking with Cross Interaction FeaturesCode2
Integrating Neural Operators with Diffusion Models Improves Spectral Representation in Turbulence ModelingCode2
Latent Modulated Function for Computational Optimal Continuous Image RepresentationCode2
LHU-Net: A Light Hybrid U-Net for Cost-Efficient, High-Performance Volumetric Medical Image SegmentationCode2
Hybrid 3D-4D Gaussian Splatting for Fast Dynamic Scene RepresentationCode2
Attentive Merging of Hidden Embeddings from Pre-trained Speech Model for Anti-spoofing DetectionCode2
Accelerating Direct Preference Optimization with Prefix SharingCode2
Harder Tasks Need More Experts: Dynamic Routing in MoE ModelsCode2
A Survey on Diffusion Models for Anomaly DetectionCode2
HeadInfer: Memory-Efficient LLM Inference by Head-wise OffloadingCode2
I^2-World: Intra-Inter Tokenization for Efficient Dynamic 4D Scene ForecastingCode2
LightGNN: Simple Graph Neural Network for RecommendationCode2
A Simple Baseline for Efficient Hand Mesh ReconstructionCode2
GotenNet: Rethinking Efficient 3D Equivariant Graph Neural NetworksCode2
An Unforgeable Publicly Verifiable Watermark for Large Language ModelsCode2
Geometry Aware Operator Transformer as an Efficient and Accurate Neural Surrogate for PDEs on Arbitrary DomainsCode2
GoMAvatar: Efficient Animatable Human Modeling from Monocular Video Using Gaussians-on-MeshCode2
SparseLLM: Towards Global Pruning for Pre-trained Language ModelsCode2
Free Video-LLM: Prompt-guided Visual Perception for Efficient Training-free Video LLMsCode2
Flow Matching in Latent SpaceCode2
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1ViTaLHamming Loss0.05—Unverified