General Classification

Description from the archive archive 2025-07-28.

Benchmarks archive 2025-07-28

11 leaderboard tables shown for this task, 11 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. 10 shown of 11 until expanded.

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

8 datasets whose archive record lists this task, ordered by the archive's paper count.

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 3,945 papers with code (14,581 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.

• Very Deep Convolutional Networks for Large-Scale Image Recognition
  4 Sep 2014 305 repositories listed Syntology ran 12 of 122 samples · 110 unverified · 4 pointer-only (licence)
  In this work we investigate the effect of the convolutional network depth on its accuracy in the large-scale image recognition setting.
• YOLO9000: Better, Faster, Stronger
  25 Dec 2016 231 repositories listed Syntology ran 16 of 60 samples · 44 unverified · 22 pointer-only (licence)
  On the 156 classes not in COCO, YOLO9000 gets 16.
• Grad-CAM: Visual Explanations from Deep Networks via Gradient-based Localization
  7 Oct 2016 126 repositories listed Syntology ran 79 of 141 samples · 62 unverified · 68 pointer-only (licence)
  For captioning and VQA, we show that even non-attention based models can localize inputs.
• Convolutional Neural Networks for Sentence Classification
  25 Aug 2014 118 repositories listed Syntology ran 19 of 77 samples · 58 unverified · 15 pointer-only (licence)
  We report on a series of experiments with convolutional neural networks (CNN) trained on top of pre-trained word vectors for sentence-level classification tasks.
• Inception-v4, Inception-ResNet and the Impact of Residual Connections on Learning
  23 Feb 2016 87 repositories listed Syntology ran 1 of 1 samples · 0 unverified
  Recently, the introduction of residual connections in conjunction with a more traditional architecture has yielded state-of-the-art performance in the 2015 ILSVRC challenge; its performance was similar to the latest…
• Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks
  9 Mar 2017 85 repositories listed Syntology ran 86 of 154 samples · 68 unverified · 57 pointer-only (licence)
  We propose an algorithm for meta-learning that is model-agnostic, in the sense that it is compatible with any model trained with gradient descent and applicable to a variety of different learning problems, including…
• Going Deeper with Convolutions
  17 Sep 2014 83 repositories listed Syntology ran 27 of 42 samples · 15 unverified · 20 pointer-only (licence)
  We propose a deep convolutional neural network architecture codenamed "Inception", which was responsible for setting the new state of the art for classification and detection in the ImageNet Large-Scale Visual…
• SegNet: A Deep Convolutional Encoder-Decoder Architecture for Image Segmentation
  2 Nov 2015 74 repositories listed Syntology ran 9 of 44 samples · 35 unverified · 10 pointer-only (licence)
  We show that SegNet provides good performance with competitive inference time and more efficient inference memory-wise as compared to other architectures.
• Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift
  11 Feb 2015 70 repositories listed Syntology ran 14 of 21 samples · 7 unverified · 5 pointer-only (licence)
  Training Deep Neural Networks is complicated by the fact that the distribution of each layer's inputs changes during training, as the parameters of the previous layers change.
• Universal Language Model Fine-tuning for Text Classification
  18 Jan 2018 66 repositories listed Syntology ran 2 of 5 samples · 3 unverified · 3 pointer-only (licence)
  Inductive transfer learning has greatly impacted computer vision, but existing approaches in NLP still require task-specific modifications and training from scratch.
• Bag of Tricks for Efficient Text Classification
  6 Jul 2016 65 repositories listed Syntology ran 2 of 9 samples · 7 unverified · 2 pointer-only (licence)
  This paper explores a simple and efficient baseline for text classification.
• Aggregated Residual Transformations for Deep Neural Networks
  16 Nov 2016 61 repositories listed Syntology ran 34 of 80 samples · 46 unverified · 13 pointer-only (licence)
  Our simple design results in a homogeneous, multi-branch architecture that has only a few hyper-parameters to set.
• DARTS: Differentiable Architecture Search
  24 Jun 2018 59 repositories listed Syntology ran 66 of 156 samples · 90 unverified · 48 pointer-only (licence)
  This paper addresses the scalability challenge of architecture search by formulating the task in a differentiable manner.
• Semi-Supervised Classification with Graph Convolutional Networks
  9 Sep 2016 55 repositories listed Syntology ran 31 of 58 samples · 27 unverified · 22 pointer-only (licence)
  We present a scalable approach for semi-supervised learning on graph-structured data that is based on an efficient variant of convolutional neural networks which operate directly on graphs.
• A Structured Self-attentive Sentence Embedding
  9 Mar 2017 52 repositories listed Syntology ran 4 of 10 samples · 6 unverified · 2 pointer-only (licence)
  This paper proposes a new model for extracting an interpretable sentence embedding by introducing self-attention.
• An Implementation of Faster RCNN with Study for Region Sampling
  7 Feb 2017 47 repositories listed
  We adapted the join-training scheme of Faster RCNN framework from Caffe to TensorFlow as a baseline implementation for object detection.
• FastText.zip: Compressing text classification models
  12 Dec 2016 44 repositories listed Syntology ran 3 of 18 samples · 15 unverified · 12 pointer-only (licence)
  We consider the problem of producing compact architectures for text classification, such that the full model fits in a limited amount of memory.
• Prototypical Networks for Few-shot Learning
  15 Mar 2017 43 repositories listed Syntology ran 49 of 64 samples · 15 unverified · 18 pointer-only (licence)
  We propose prototypical networks for the problem of few-shot classification, where a classifier must generalize to new classes not seen in the training set, given only a small number of examples of each new class.
• ShuffleNet: An Extremely Efficient Convolutional Neural Network for Mobile Devices
  4 Jul 2017 38 repositories listed
  We introduce an extremely computation-efficient CNN architecture named ShuffleNet, which is designed specially for mobile devices with very limited computing power (e.
• Weight Uncertainty in Neural Networks
  20 May 2015 38 repositories listed Syntology ran 12 of 15 samples · 3 unverified · 7 pointer-only (licence)
  We introduce a new, efficient, principled and backpropagation-compatible algorithm for learning a probability distribution on the weights of a neural network, called Bayes by Backprop.
• Domain-Adversarial Training of Neural Networks
  28 May 2015 37 repositories listed Syntology ran 33 of 52 samples · 19 unverified · 22 pointer-only (licence)
  Our approach is directly inspired by the theory on domain adaptation suggesting that, for effective domain transfer to be achieved, predictions must be made based on features that cannot discriminate between the…
• Quo Vadis, Action Recognition? A New Model and the Kinetics Dataset
  22 May 2017 34 repositories listed Syntology ran 16 of 28 samples · 12 unverified · 7 pointer-only (licence)
  The paucity of videos in current action classification datasets (UCF-101 and HMDB-51) has made it difficult to identify good video architectures, as most methods obtain similar performance on existing small-scale…
• CBAM: Convolutional Block Attention Module
  17 Jul 2018 31 repositories listed Syntology ran 4 of 22 samples · 18 unverified · 1 pointer-only (licence)
  We propose Convolutional Block Attention Module (CBAM), a simple yet effective attention module for feed-forward convolutional neural networks.
• In Defense of the Triplet Loss for Person Re-Identification
  22 Mar 2017 31 repositories listed Syntology ran 6 of 46 samples · 40 unverified
  In the past few years, the field of computer vision has gone through a revolution fueled mainly by the advent of large datasets and the adoption of deep convolutional neural networks for end-to-end learning.
• EMNIST: an extension of MNIST to handwritten letters
  17 Feb 2017 31 repositories listed Syntology ran 1 of 14 samples · 13 unverified · 1 pointer-only (licence)
  The MNIST dataset has become a standard benchmark for learning, classification and computer vision systems.
• Character-level Convolutional Networks for Text Classification
  4 Sep 2015 30 repositories listed Syntology ran 4 of 20 samples · 16 unverified · 5 pointer-only (licence)
  This article offers an empirical exploration on the use of character-level convolutional networks (ConvNets) for text classification.
• Overcoming catastrophic forgetting in neural networks
  2 Dec 2016 29 repositories listed Syntology ran 14 of 22 samples · 8 unverified · 4 pointer-only (licence)
  The ability to learn tasks in a sequential fashion is crucial to the development of artificial intelligence.
• Adversarial Autoencoders
  18 Nov 2015 29 repositories listed Syntology ran 8 of 12 samples · 4 unverified · 9 pointer-only (licence)
  In this paper, we propose the "adversarial autoencoder" (AAE), which is a probabilistic autoencoder that uses the recently proposed generative adversarial networks (GAN) to perform variational inference by matching the…
• Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning
  6 Jun 2015 29 repositories listed Syntology ran 4 of 4 samples · 0 unverified · 4 pointer-only (licence)
  In comparison, Bayesian models offer a mathematically grounded framework to reason about model uncertainty, but usually come with a prohibitive computational cost.
• Bag of Tricks for Image Classification with Convolutional Neural Networks
  4 Dec 2018 28 repositories listed Syntology ran 4 of 15 samples · 11 unverified · 5 pointer-only (licence)
  Much of the recent progress made in image classification research can be credited to training procedure refinements, such as changes in data augmentations and optimization methods.

Syntology lines on 28 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.