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 1571–1580 of 4891 papers

TitleStatusHype
RemoteDet-Mamba: A Hybrid Mamba-CNN Network for Multi-modal Object Detection in Remote Sensing Images—0
The Latent Road to Atoms: Backmapping Coarse-grained Protein Structures with Latent Diffusion—0
Learning Efficient Representations of Neutrino Telescope EventsCode0
Adaptive and oblivious statistical adversaries are equivalent—0
DiRecNetV2: A Transformer-Enhanced Network for Aerial Disaster Recognition—0
The Best of Both Worlds: Bridging Quality and Diversity in Data Selection with Bipartite Graph—0
EPS-MoE: Expert Pipeline Scheduler for Cost-Efficient MoE Inference—0
Consistency Calibration: Improving Uncertainty Calibration via Consistency among Perturbed Neighbors—0
Dual Prototype Evolving for Test-Time Generalization of Vision-Language ModelsCode1
Expected Sliced Transport Plans—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1ViTaLHamming Loss0.05—Unverified