Computational Efficiency

Description from the archive archive 2025-07-28.

Benchmarks archive 2025-07-28

1 leaderboard table shown for this task, 1 with rows (a “benchmark” on this site is a table with at least one row, as on /sota), ordered by row count. “Best model” is the first row in the archive's own order at snapshot; nothing is re-ranked here and metric direction is not recorded in the archive. PwC's Trend sparklines are not in the archive, so that column is omitted.

Syntology column: samples harvested from the paper's repositories and executed on synthesized fixtures; “ran” is not a correctness claim and does not order the table. A dash means no Syntology record for that paper, not a recorded non-run. Read from the graph 2026-09-24.

Libraries

Not in the archive: the export carries no per-task library table, so there is nothing to show at snapshot 2025-07-28.

Datasets archive 2025-07-28

No dataset record in the archive lists this task.

Subtasks archive 2025-07-28

No subtask under this task in the archive's task tree.

Most implemented papers archive 2025-07-28

30 shown of 1,644 papers with code (4,891 tagged with this task in all), ordered by repositories listed in the archive, not by stars (the archive holds no stars, so PwC's “Social” and “Latest” sorts cannot be reproduced). Papers without a page here are shown as plain text.

• Rethinking the Inception Architecture for Computer Vision
  2 Dec 2015 113 repositories listed Syntology ran 5 of 26 samples · 21 unverified · 4 pointer-only (licence)
  Convolutional networks are at the core of most state-of-the-art computer vision solutions for a wide variety of tasks.
• Attention U-Net: Learning Where to Look for the Pancreas
  11 Apr 2018 37 repositories listed Syntology ran 8 of 28 samples · 20 unverified · 7 pointer-only (licence)
  We propose a novel attention gate (AG) model for medical imaging that automatically learns to focus on target structures of varying shapes and sizes.
• Mamba: Linear-Time Sequence Modeling with Selective State Spaces
  1 Dec 2023 35 repositories listed Syntology ran 18 of 62 samples · 44 unverified · 28 pointer-only (licence)
  Foundation models, now powering most of the exciting applications in deep learning, are almost universally based on the Transformer architecture and its core attention module.
• EfficientAD: Accurate Visual Anomaly Detection at Millisecond-Level Latencies
  25 Mar 2023 33 repositories listed Syntology ran 1 of 35 samples · 34 unverified
  We train a student network to predict the extracted features of normal, i.
• Simple random search provides a competitive approach to reinforcement learning
  19 Mar 2018 26 repositories listed Syntology ran 3 of 15 samples · 12 unverified · 3 pointer-only (licence)
  A common belief in model-free reinforcement learning is that methods based on random search in the parameter space of policies exhibit significantly worse sample complexity than those that explore the space of actions.
• Efficient Neural Network Robustness Certification with General Activation Functions
  2 Nov 2018 16 repositories listed Syntology ran 4 of 43 samples · 39 unverified · 3 pointer-only (licence)
  Finding minimum distortion of adversarial examples and thus certifying robustness in neural network classifiers for given data points is known to be a challenging problem.
• RWKV: Reinventing RNNs for the Transformer Era
  22 May 2023 14 repositories listed Syntology ran 3 of 11 samples · 8 unverified
  This work presents a significant step towards reconciling trade-offs between computational efficiency and model performance in sequence processing tasks.
• VMamba: Visual State Space Model
  18 Jan 2024 13 repositories listed Syntology ran 20 of 46 samples · 26 unverified
  At the core of VMamba is a stack of Visual State-Space (VSS) blocks with the 2D Selective Scan (SS2D) module.
• Kimera: an Open-Source Library for Real-Time Metric-Semantic Localization and Mapping
  6 Oct 2019 12 repositories listed Syntology ran 0 of 5 samples · 5 unverified
  We provide an open-source C++ library for real-time metric-semantic visual-inertial Simultaneous Localization And Mapping (SLAM).
• Resurrecting Recurrent Neural Networks for Long Sequences
  11 Mar 2023 11 repositories listed Syntology ran 0 of 1 samples · 1 unverified
  Recurrent Neural Networks (RNNs) offer fast inference on long sequences but are hard to optimize and slow to train.
• PP-OCR: A Practical Ultra Lightweight OCR System
  21 Sep 2020 10 repositories listed Syntology ran 0 of 12 samples · 12 unverified
  Meanwhile, several pre-trained models for the Chinese and English recognition are released, including a text detector (97K images are used), a direction classifier (600K images are used) as well as a text recognizer (17.
• PointNetLK: Robust & Efficient Point Cloud Registration using PointNet
  13 Mar 2019 7 repositories listed Syntology ran 2 of 24 samples · 22 unverified · 22 pointer-only (licence)
  To date, the successful application of PointNet to point cloud registration has remained elusive.
• Scalable Bayesian Rule Lists
  27 Feb 2016 7 repositories listed
  They have a logical structure that is a sequence of IF-THEN rules, identical to a decision list or one-sided decision tree.
• DNABERT-2: Efficient Foundation Model and Benchmark For Multi-Species Genome
  26 Jun 2023 6 repositories listed Syntology ran 8 of 23 samples · 15 unverified
  Decoding the linguistic intricacies of the genome is a crucial problem in biology, and pre-trained foundational models such as DNABERT and Nucleotide Transformer have made significant strides in this area.
• Simplified State Space Layers for Sequence Modeling
  9 Aug 2022 6 repositories listed Syntology ran 4 of 19 samples · 15 unverified · 3 pointer-only (licence)
  Models using structured state space sequence (S4) layers have achieved state-of-the-art performance on long-range sequence modeling tasks.
• A Transformer-based Framework for Multivariate Time Series Representation Learning
  6 Oct 2020 6 repositories listed Syntology ran 5 of 32 samples · 27 unverified · 2 pointer-only (licence)
  In this work we propose for the first time a transformer-based framework for unsupervised representation learning of multivariate time series.
• Cluster-GCN: An Efficient Algorithm for Training Deep and Large Graph Convolutional Networks
  20 May 2019 6 repositories listed
  Furthermore, Cluster-GCN allows us to train much deeper GCN without much time and memory overhead, which leads to improved prediction accuracy---using a 5-layer Cluster-GCN, we achieve state-of-the-art test F1 score 99.
• Continual Learning Through Synaptic Intelligence
  13 Mar 2017 6 repositories listed Syntology ran 0 of 7 samples · 7 unverified
  While deep learning has led to remarkable advances across diverse applications, it struggles in domains where the data distribution changes over the course of learning.
• REINFORCE++: A Simple and Efficient Approach for Aligning Large Language Models
  4 Jan 2025 5 repositories listed
  Reinforcement Learning from Human Feedback (RLHF) has emerged as a critical approach for aligning large language models with human preferences, witnessing rapid algorithmic evolution through methods such as Proximal…
• ConvMAE: Masked Convolution Meets Masked Autoencoders
  8 May 2022 5 repositories listed Syntology ran 5 of 10 samples · 5 unverified
  Masked auto-encoding for feature pretraining and multi-scale hybrid convolution-transformer architectures can further unleash the potentials of ViT, leading to state-of-the-art performances on image classification,…
• Multi-level Wavelet-CNN for Image Restoration
  18 May 2018 5 repositories listed
  With the modified U-Net architecture, wavelet transform is introduced to reduce the size of feature maps in the contracting subnetwork.
• GraphGAN: Graph Representation Learning with Generative Adversarial Nets
  22 Nov 2017 5 repositories listed
  The goal of graph representation learning is to embed each vertex in a graph into a low-dimensional vector space.
• Distribution-Free Predictive Inference For Regression
  14 Apr 2016 5 repositories listed
  In the spirit of reproducibility, all of our empirical results can also be easily (re)generated using this package.
• Towards Good Practices for Very Deep Two-Stream ConvNets
  8 Jul 2015 5 repositories listed
  However, for action recognition in videos, the improvement of deep convolutional networks is not so evident.
• High-performance training and inference for deep equivariant interatomic potentials
  22 Apr 2025 4 repositories listed Syntology ran 0 of 6 samples · 6 unverified
  For inference, we introduce the first end-to-end infrastructure that uses the PyTorch Ahead-of-Time Inductor compiler for machine learning interatomic potentials.
• Comet: Fine-grained Computation-communication Overlapping for Mixture-of-Experts
  27 Feb 2025 4 repositories listed Syntology ran 1 of 20 samples · 19 unverified
  The inter-device communication of a MoE layer can occupy 47% time of the entire model execution with popular models and frameworks.
• SimBa: Simplicity Bias for Scaling Up Parameters in Deep Reinforcement Learning
  13 Oct 2024 4 repositories listed Syntology ran 3 of 6 samples · 3 unverified
  Recent advances in CV and NLP have been largely driven by scaling up the number of network parameters, despite traditional theories suggesting that larger networks are prone to overfitting.
• U-Net v2: Rethinking the Skip Connections of U-Net for Medical Image Segmentation
  29 Nov 2023 4 repositories listed
  We evaluate our method on several public medical image segmentation datasets for skin lesion segmentation and polyp segmentation, and the experimental results demonstrate the segmentation accuracy of our new method over…
• Vocos: Closing the gap between time-domain and Fourier-based neural vocoders for high-quality audio synthesis
  1 Jun 2023 4 repositories listed Syntology ran 5 of 16 samples · 11 unverified
  Recent advancements in neural vocoding are predominantly driven by Generative Adversarial Networks (GANs) operating in the time-domain.
• AudioLDM: Text-to-Audio Generation with Latent Diffusion Models
  29 Jan 2023 4 repositories listed Syntology ran 8 of 21 samples · 13 unverified · 10 pointer-only (licence)
  By learning the latent representations of audio signals and their compositions without modeling the cross-modal relationship, AudioLDM is advantageous in both generation quality and computational efficiency.

Syntology lines on 22 of the papers shown; no Syntology record for the others (a paper without an arXiv id cannot be joined to the graph, and absence from the graph layer is not a recorded non-run). “Ran” means the sample executed on a synthesized fixture, not that the paper's result was reproduced. Read from the graph 2026-09-24.