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 701710 of 4891 papers

TitleStatusHype
DeepOPF-V: Solving AC-OPF Problems EfficientlyCode1
MoViNets: Mobile Video Networks for Efficient Video RecognitionCode1
Enhancing Medical Image Registration via Appearance Adjustment NetworksCode1
A Hybrid CNN-BiLSTM Voice Activity DetectorCode1
Improving Computational Efficiency in Visual Reinforcement Learning via Stored EmbeddingsCode1
Real-World Single Image Super-Resolution: A Brief ReviewCode1
A Pose-only Solution to Visual Reconstruction and NavigationCode1
Patch-NetVLAD: Multi-Scale Fusion of Locally-Global Descriptors for Place RecognitionCode1
Sandglasset: A Light Multi-Granularity Self-attentive Network For Time-Domain Speech SeparationCode1
Anytime Sampling for Autoregressive Models via Ordered AutoencodingCode1
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1ViTaLHamming Loss0.05Unverified