Translation

Benchmarks archive 2025-07-28

4 leaderboard tables shown for this task, 3 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

17 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 3,574 papers with code (12,395 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.

• Attention Is All You Need
  12 Jun 2017 595 repositories listed Syntology ran 600 of 946 samples · 346 unverified · 451 pointer-only (licence)
  The dominant sequence transduction models are based on complex recurrent or convolutional neural networks in an encoder-decoder configuration.
• Image-to-Image Translation with Conditional Adversarial Networks
  21 Nov 2016 192 repositories listed Syntology ran 14 of 122 samples · 108 unverified · 1 pointer-only (licence)
  We investigate conditional adversarial networks as a general-purpose solution to image-to-image translation problems.
• Unpaired Image-to-Image Translation using Cycle-Consistent Adversarial Networks
  30 Mar 2017 190 repositories listed Syntology ran 6 of 31 samples · 25 unverified · 6 pointer-only (licence)
  Image-to-image translation is a class of vision and graphics problems where the goal is to learn the mapping between an input image and an output image using a training set of aligned image pairs.
• Neural Machine Translation by Jointly Learning to Align and Translate
  1 Sep 2014 124 repositories listed Syntology ran 21 of 44 samples · 23 unverified · 16 pointer-only (licence)
  Neural machine translation is a recently proposed approach to machine translation.
• Show, Attend and Tell: Neural Image Caption Generation with Visual Attention
  10 Feb 2015 92 repositories listed Syntology ran 15 of 84 samples · 69 unverified · 7 pointer-only (licence)
  Inspired by recent work in machine translation and object detection, we introduce an attention based model that automatically learns to describe the content of images.
• Show and Tell: A Neural Image Caption Generator
  17 Nov 2014 74 repositories listed Syntology ran 13 of 34 samples · 21 unverified · 6 pointer-only (licence)
  Experiments on several datasets show the accuracy of the model and the fluency of the language it learns solely from image descriptions.
• YOLACT: Real-time Instance Segmentation
  4 Apr 2019 48 repositories listed Syntology ran 10 of 21 samples · 11 unverified · 6 pointer-only (licence)
  Then we produce instance masks by linearly combining the prototypes with the mask coefficients.
• R-FCN: Object Detection via Region-based Fully Convolutional Networks
  20 May 2016 48 repositories listed Syntology ran 1 of 11 samples · 10 unverified
  In contrast to previous region-based detectors such as Fast/Faster R-CNN that apply a costly per-region subnetwork hundreds of times, our region-based detector is fully convolutional with almost all computation shared…
• BART: Denoising Sequence-to-Sequence Pre-training for Natural Language Generation, Translation, and Comprehension
  29 Oct 2019 47 repositories listed Syntology ran 22 of 53 samples · 31 unverified · 7 pointer-only (licence)
  We evaluate a number of noising approaches, finding the best performance by both randomly shuffling the order of the original sentences and using a novel in-filling scheme, where spans of text are replaced with a single…
• Regularizing and Optimizing LSTM Language Models
  7 Aug 2017 45 repositories listed Syntology ran 6 of 7 samples · 1 unverified · 7 pointer-only (licence)
  Recurrent neural networks (RNNs), such as long short-term memory networks (LSTMs), serve as a fundamental building block for many sequence learning tasks, including machine translation, language modeling, and question…
• Spatial Transformer Networks
  5 Jun 2015 45 repositories listed Syntology ran 2 of 31 samples · 29 unverified
  Convolutional Neural Networks define an exceptionally powerful class of models, but are still limited by the lack of ability to be spatially invariant to the input data in a computationally and parameter efficient…
• Effective Approaches to Attention-based Neural Machine Translation
  17 Aug 2015 44 repositories listed Syntology ran 2 of 8 samples · 6 unverified · 2 pointer-only (licence)
  Our ensemble model using different attention architectures has established a new state-of-the-art result in the WMT'15 English to German translation task with 25.
• Learning Phrase Representations using RNN Encoder-Decoder for Statistical Machine Translation
  3 Jun 2014 42 repositories listed Syntology ran 10 of 22 samples · 12 unverified · 14 pointer-only (licence)
  In this paper, we propose a novel neural network model called RNN Encoder-Decoder that consists of two recurrent neural networks (RNN).
• Convolutional Sequence to Sequence Learning
  8 May 2017 37 repositories listed
  The prevalent approach to sequence to sequence learning maps an input sequence to a variable length output sequence via recurrent neural networks.
• An Empirical Evaluation of Generic Convolutional and Recurrent Networks for Sequence Modeling
  4 Mar 2018 35 repositories listed Syntology ran 2 of 10 samples · 8 unverified · 1 pointer-only (licence)
  Our results indicate that a simple convolutional architecture outperforms canonical recurrent networks such as LSTMs across a diverse range of tasks and datasets, while demonstrating longer effective memory.
• StarGAN: Unified Generative Adversarial Networks for Multi-Domain Image-to-Image Translation
  24 Nov 2017 35 repositories listed Syntology ran 4 of 7 samples · 3 unverified · 5 pointer-only (licence)
  To address this limitation, we propose StarGAN, a novel and scalable approach that can perform image-to-image translations for multiple domains using only a single model.
• U-GAT-IT: Unsupervised Generative Attentional Networks with Adaptive Layer-Instance Normalization for Image-to-Image Translation
  25 Jul 2019 28 repositories listed Syntology ran 5 of 36 samples · 31 unverified
  We propose a novel method for unsupervised image-to-image translation, which incorporates a new attention module and a new learnable normalization function in an end-to-end manner.
• Google's Neural Machine Translation System: Bridging the Gap between Human and Machine Translation
  26 Sep 2016 28 repositories listed Syntology ran 23 of 46 samples · 23 unverified · 12 pointer-only (licence)
  To improve parallelism and therefore decrease training time, our attention mechanism connects the bottom layer of the decoder to the top layer of the encoder.
• Autoencoding beyond pixels using a learned similarity metric
  31 Dec 2015 28 repositories listed Syntology ran 6 of 13 samples · 7 unverified · 7 pointer-only (licence)
  We present an autoencoder that leverages learned representations to better measure similarities in data space.
• Neural Machine Translation of Rare Words with Subword Units
  31 Aug 2015 26 repositories listed Syntology ran 21 of 30 samples · 9 unverified · 21 pointer-only (licence)
  Neural machine translation (NMT) models typically operate with a fixed vocabulary, but translation is an open-vocabulary problem.
• An Intriguing Failing of Convolutional Neural Networks and the CoordConv Solution
  9 Jul 2018 24 repositories listed Syntology ran 4 of 5 samples · 1 unverified
  In this paper we show a striking counterexample to this intuition via the seemingly trivial coordinate transform problem, which simply requires learning a mapping between coordinates in (x, y) Cartesian space and…
• MelGAN: Generative Adversarial Networks for Conditional Waveform Synthesis
  8 Oct 2019 21 repositories listed Syntology ran 5 of 7 samples · 2 unverified · 1 pointer-only (licence)
  In this paper, we show that it is possible to train GANs reliably to generate high quality coherent waveforms by introducing a set of architectural changes and simple training techniques.
• On the Variance of the Adaptive Learning Rate and Beyond
  8 Aug 2019 21 repositories listed Syntology ran 4 of 13 samples · 9 unverified
  The learning rate warmup heuristic achieves remarkable success in stabilizing training, accelerating convergence and improving generalization for adaptive stochastic optimization algorithms like RMSprop and Adam.
• Language Models are Unsupervised Multitask Learners
  14 Feb 2019 21 repositories listed
  Natural language processing tasks, such as question answering, machine translation, reading comprehension, and summarization, are typically approached with supervised learning on taskspecific datasets.
• Recurrent Neural Network Regularization
  8 Sep 2014 21 repositories listed Syntology ran 2 of 6 samples · 4 unverified · 6 pointer-only (licence)
  We present a simple regularization technique for Recurrent Neural Networks (RNNs) with Long Short-Term Memory (LSTM) units.
• BERTScore: Evaluating Text Generation with BERT
  21 Apr 2019 20 repositories listed Syntology ran 44 of 76 samples · 32 unverified · 33 pointer-only (licence)
  We propose BERTScore, an automatic evaluation metric for text generation.
• Word Translation Without Parallel Data
  11 Oct 2017 20 repositories listed Syntology ran 6 of 8 samples · 2 unverified · 8 pointer-only (licence)
  We finally describe experiments on the English-Esperanto low-resource language pair, on which there only exists a limited amount of parallel data, to show the potential impact of our method in fully unsupervised machine…
• Show and Tell: Lessons learned from the 2015 MSCOCO Image Captioning Challenge
  21 Sep 2016 20 repositories listed Syntology ran 4 of 15 samples · 11 unverified · 7 pointer-only (licence)
  Automatically describing the content of an image is a fundamental problem in artificial intelligence that connects computer vision and natural language processing.
• Recurrent Models of Visual Attention
  24 Jun 2014 20 repositories listed Syntology ran 7 of 24 samples · 17 unverified · 1 pointer-only (licence)
  Applying convolutional neural networks to large images is computationally expensive because the amount of computation scales linearly with the number of image pixels.
• ResMLP: Feedforward networks for image classification with data-efficient training
  7 May 2021 19 repositories listed Syntology ran 2 of 7 samples · 5 unverified
  We present ResMLP, an architecture built entirely upon multi-layer perceptrons for image classification.

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.