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 111–120 of 4891 papers

TitleStatusHype
HeadInfer: Memory-Efficient LLM Inference by Head-wise OffloadingCode2
Without Paired Labeled Data: An End-to-End Self-Supervised Paradigm for UAV-View Geo-LocalizationCode2
Reviving The Classics: Active Reward Modeling in Large Language Model AlignmentCode2
Mixture-of-Mamba: Enhancing Multi-Modal State-Space Models with Modality-Aware SparsityCode2
Uni-Sign: Toward Unified Sign Language Understanding at ScaleCode2
A Survey on Diffusion Models for Anomaly DetectionCode2
RWKV-UNet: Improving UNet with Long-Range Cooperation for Effective Medical Image SegmentationCode2
AlphaNet: Scaling Up Local-frame-based Atomistic Interatomic PotentialCode2
Generalized and Efficient 2D Gaussian Splatting for Arbitrary-scale Super-ResolutionCode2
FLowHigh: Towards Efficient and High-Quality Audio Super-Resolution with Single-Step Flow MatchingCode2
Show:102550
← PrevPage 12 of 490Next →

Benchmark Results

#ModelMetricClaimedVerifiedStatus
1ViTaLHamming Loss0.05—Unverified