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 401–410 of 4891 papers

TitleStatusHype
Corner Proposal Network for Anchor-free, Two-stage Object DetectionCode1
An empirical evaluation of functional alignment using inter-subject decodingCode1
Birdie: Advancing State Space Models with Reward-Driven Objectives and CurriculaCode1
CosmoPower-JAX: high-dimensional Bayesian inference with differentiable cosmological emulatorsCode1
Calibrating LLMs with Information-Theoretic Evidential Deep LearningCode1
FedPop: Federated Population-based Hyperparameter TuningCode1
Fast Fishing: Approximating BAIT for Efficient and Scalable Deep Active Image ClassificationCode1
Fast ground penetrating radar dual-parameter full waveform inversion method accelerated by hybrid compilation of CUDA kernel function and PyTorchCode1
Cross-attention Inspired Selective State Space Models for Target Sound ExtractionCode1
AMD-Hummingbird: Towards an Efficient Text-to-Video ModelCode1
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1ViTaLHamming Loss0.05—Unverified