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 211–220 of 4891 papers

TitleStatusHype
BitDecoding: Unlocking Tensor Cores for Long-Context LLMs Decoding with Low-Bit KV CacheCode2
Agent Attention: On the Integration of Softmax and Linear AttentionCode2
Emulating Self-attention with Convolution for Efficient Image Super-ResolutionCode2
FastBlend: a Powerful Model-Free Toolkit Making Video Stylization EasierCode2
Generalized and Efficient 2D Gaussian Splatting for Arbitrary-scale Super-ResolutionCode2
Learning local equivariant representations for quantum operatorsCode2
REINFORCE++: A Simple and Efficient Approach for Aligning Large Language ModelsCode2
Efficient Multi-scale Network with Learnable Discrete Wavelet Transform for Blind Motion DeblurringCode1
Benchmark Dataset for Precipitation Forecasting by Post-Processing the Numerical Weather PredictionCode1
Efficient Neural Implicit Representation for 3D Human ReconstructionCode1
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1ViTaLHamming Loss0.05—Unverified