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 331–340 of 4891 papers

TitleStatusHype
Efficient Long Sequence Modeling via State Space Augmented TransformerCode1
Efficient and Information-Preserving Future Frame Prediction and BeyondCode1
Adaptive Data Optimization: Dynamic Sample Selection with Scaling LawsCode1
Efficient Multi-agent Reinforcement Learning by PlanningCode1
Efficient RAW Image Deblurring with Adaptive Frequency ModulationCode1
Equivariant Hypergraph Diffusion Neural OperatorsCode1
Efficient Aggregated Kernel Tests using Incomplete U-statisticsCode1
Dynamic-VLM: Simple Dynamic Visual Token Compression for VideoLLMCode1
Dynamic Multimodal FusionCode1
EdgeRegNet: Edge Feature-based Multimodal Registration Network between Images and LiDAR Point CloudsCode1
Show:102550
← PrevPage 34 of 490Next →

Benchmark Results

#ModelMetricClaimedVerifiedStatus
1ViTaLHamming Loss0.05—Unverified