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

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Showing 1321–1330 of 4891 papers

TitleStatusHype
Efficient Building Roof Type Classification: A Domain-Specific Self-Supervised Approach—0
GmNet: Revisiting Gating Mechanisms From A Frequency View—0
Audio-Plane: Audio Factorization Plane Gaussian Splatting for Real-Time Talking Head Synthesis—0
Meta-LoRA: Meta-Learning LoRA Components for Domain-Aware ID Personalization—0
Resona: Improving Context Copying in Linear Recurrence Models with Retrieval—0
Q-MambaIR: Accurate Quantized Mamba for Efficient Image Restoration—0
vGamba: Attentive State Space Bottleneck for efficient Long-range Dependencies in Visual RecognitionCode0
Improving (α, f)-Byzantine Resilience in Federated Learning via layerwise aggregation and cosine distanceCode0
Stochastic Engrams for Efficient Continual Learning with Binarized Neural Networks—0
Purifying Approximate Differential Privacy with Randomized Post-processing—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1ViTaLHamming Loss0.05—Unverified