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 751–775 of 4891 papers

TitleStatusHype
State Space Expectation Propagation: Efficient Inference Schemes for Temporal Gaussian ProcessesCode1
Dynamic Group Convolution for Accelerating Convolutional Neural NetworksCode1
On the Iteration Complexity of Hypergradient ComputationCode1
Wasserstein Embedding for Graph LearningCode1
Augmented Sliced Wasserstein DistancesCode1
Exploring Quality and Generalizability in Parameterized Neural Audio EffectsCode1
Uncertainty-Aware CNNs for Depth Completion: Uncertainty from Beginning to EndCode1
Overcoming Multi-Model Forgetting in One-Shot NAS With Diversity MaximizationCode1
Improved Protein-ligand Binding Affinity Prediction with Structure-Based Deep Fusion InferenceCode1
Adaptive Transformers for Learning Multimodal RepresentationsCode1
Efficient and Information-Preserving Future Frame Prediction and BeyondCode1
EfficientPose: Scalable single-person pose estimationCode1
Self-Organized Operational Neural Networks with Generative NeuronsCode1
MiniSeg: An Extremely Minimum Network for Efficient COVID-19 SegmentationCode1
Semantic Segmentation of Underwater Imagery: Dataset and BenchmarkCode1
MUXConv: Information Multiplexing in Convolutional Neural NetworksCode1
Deep reinforcement learning for large-scale epidemic controlCode1
Spike-FlowNet: Event-based Optical Flow Estimation with Energy-Efficient Hybrid Neural NetworksCode1
Robust, Occlusion-aware Pose Estimation for Objects Grasped by Adaptive HandsCode1
Complete Dictionary Learning via _p-norm MaximizationCode1
Transformer Hawkes ProcessCode1
πVAE: a stochastic process prior for Bayesian deep learning with MCMCCode1
ACEnet: Anatomical Context-Encoding Network for Neuroanatomy SegmentationCode1
SparseIDS: Learning Packet Sampling with Reinforcement LearningCode1
3-D Short-Range Imaging With Irregular MIMO Arrays Using NUFFT-Based Range Migration AlgorithmCode1
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1ViTaLHamming Loss0.05—Unverified