model

Description from the archive archive 2025-07-28.

Benchmarks archive 2025-07-28

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Datasets archive 2025-07-28

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Most implemented papers archive 2025-07-28

30 shown of 1,733 papers with code (5,434 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.

• EfficientNet: Rethinking Model Scaling for Convolutional Neural Networks
  28 May 2019 144 repositories listed Syntology ran 171 of 302 samples · 131 unverified · 112 pointer-only (licence)
  Convolutional Neural Networks (ConvNets) are commonly developed at a fixed resource budget, and then scaled up for better accuracy if more resources are available.
• WaveNet: A Generative Model for Raw Audio
  12 Sep 2016 62 repositories listed Syntology ran 41 of 103 samples · 62 unverified · 25 pointer-only (licence)
  This paper introduces WaveNet, a deep neural network for generating raw audio waveforms.
• Direct Preference Optimization: Your Language Model is Secretly a Reward Model
  29 May 2023 29 repositories listed Syntology ran 6 of 31 samples · 25 unverified · 2 pointer-only (licence)
  Existing methods for gaining such steerability collect human labels of the relative quality of model generations and fine-tune the unsupervised LM to align with these preferences, often with reinforcement learning from…
• A Neural Conversational Model
  19 Jun 2015 18 repositories listed Syntology ran 2 of 4 samples · 2 unverified · 3 pointer-only (licence)
  We find that this straightforward model can generate simple conversations given a large conversational training dataset.
• Cross-lingual Language Model Pretraining
  22 Jan 2019 17 repositories listed Syntology ran 1 of 7 samples · 6 unverified · 1 pointer-only (licence)
  On unsupervised machine translation, we obtain 34.
• A Unified Approach to Interpreting Model Predictions
  22 May 2017 17 repositories listed Syntology ran 3 of 8 samples · 5 unverified · 6 pointer-only (licence)
  Understanding why a model makes a certain prediction can be as crucial as the prediction's accuracy in many applications.
• ShapeNet: An Information-Rich 3D Model Repository
  9 Dec 2015 16 repositories listed
  We present ShapeNet: a richly-annotated, large-scale repository of shapes represented by 3D CAD models of objects.
• 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.
• What Is Wrong With Scene Text Recognition Model Comparisons? Dataset and Model Analysis
  3 Apr 2019 13 repositories listed Syntology ran 0 of 19 samples · 19 unverified
  Many new proposals for scene text recognition (STR) models have been introduced in recent years.
• Jukebox: A Generative Model for Music
  30 Apr 2020 12 repositories listed
  We introduce Jukebox, a model that generates music with singing in the raw audio domain.
• Model Cards for Model Reporting
  5 Oct 2018 12 repositories listed Syntology ran 1 of 9 samples · 8 unverified · 1 pointer-only (licence)
  Model cards also disclose the context in which models are intended to be used, details of the performance evaluation procedures, and other relevant information.
• DiffWave: A Versatile Diffusion Model for Audio Synthesis
  21 Sep 2020 11 repositories listed Syntology ran 20 of 33 samples · 13 unverified
  In this work, we propose DiffWave, a versatile diffusion probabilistic model for conditional and unconditional waveform generation.
• When to Trust Your Model: Model-Based Policy Optimization
  19 Jun 2019 11 repositories listed Syntology ran 3 of 3 samples · 0 unverified · 3 pointer-only (licence)
  Designing effective model-based reinforcement learning algorithms is difficult because the ease of data generation must be weighed against the bias of model-generated data.
• An Empirical Model of Large-Batch Training
  14 Dec 2018 11 repositories listed Syntology ran 0 of 6 samples · 6 unverified
  In an increasing number of domains it has been demonstrated that deep learning models can be trained using relatively large batch sizes without sacrificing data efficiency.
• Rethinking Channel Dimensions for Efficient Model Design
  2 Jul 2020 10 repositories listed Syntology ran 1 of 8 samples · 7 unverified
  We then investigate the channel configuration of a model by searching network architectures concerning the channel configuration under the computational cost restriction.
• A Self-Attentive model for Knowledge Tracing
  16 Jul 2019 10 repositories listed Syntology ran 6 of 12 samples · 6 unverified · 9 pointer-only (licence)
  Knowledge tracing is the task of modeling each student's mastery of knowledge concepts (KCs) as (s)he engages with a sequence of learning activities.
• A Deep Reinforced Model for Abstractive Summarization
  11 May 2017 10 repositories listed
  We introduce a neural network model with a novel intra-attention that attends over the input and continuously generated output separately, and a new training method that combines standard supervised word prediction and…
• A Decomposable Attention Model for Natural Language Inference
  6 Jun 2016 10 repositories listed Syntology ran 0 of 6 samples · 6 unverified
  We propose a simple neural architecture for natural language inference.
• GLM-130B: An Open Bilingual Pre-trained Model
  5 Oct 2022 9 repositories listed Syntology ran 5 of 21 samples · 16 unverified
  We introduce GLM-130B, a bilingual (English and Chinese) pre-trained language model with 130 billion parameters.
• The Double Sphere Camera Model
  24 Jul 2018 9 repositories listed
  We evaluate the model using a calibration dataset with several different lenses and compare the models using the metrics that are relevant for Visual Odometry, i.
• Neural Network Dynamics for Model-Based Deep Reinforcement Learning with Model-Free Fine-Tuning
  8 Aug 2017 9 repositories listed Syntology ran 2 of 2 samples · 0 unverified · 2 pointer-only (licence)
  Model-free deep reinforcement learning algorithms have been shown to be capable of learning a wide range of robotic skills, but typically require a very large number of samples to achieve good performance.
• CamemBERT: a Tasty French Language Model
  10 Nov 2019 8 repositories listed
  We show that the use of web crawled data is preferable to the use of Wikipedia data.
• A neural attention model for speech command recognition
  27 Aug 2018 8 repositories listed Syntology ran 2 of 3 samples · 1 unverified · 2 pointer-only (licence)
  This paper introduces a convolutional recurrent network with attention for speech command recognition.
• GhostFaceNets: Lightweight Face Recognition Model From Cheap Operations
  10 Apr 2023 7 repositories listed
  The development of deep learning-based biometric models that can be deployed on devices with constrained memory and computational resources has proven to be a significant challenge.
• FlauBERT: Unsupervised Language Model Pre-training for French
  11 Dec 2019 7 repositories listed Syntology ran 1 of 9 samples · 8 unverified
  Language models have become a key step to achieve state-of-the art results in many different Natural Language Processing (NLP) tasks.
• FedMD: Heterogenous Federated Learning via Model Distillation
  8 Oct 2019 7 repositories listed Syntology ran 1 of 1 samples · 0 unverified · 1 pointer-only (licence)
  With 10 distinct participants, the final test accuracy of each model on average receives a 20% gain on top of what's possible without collaboration and is only a few percent lower than the performance each model would…
• FlexiViT: One Model for All Patch Sizes
  15 Dec 2022 6 repositories listed Syntology ran 1 of 4 samples · 3 unverified
  Vision Transformers convert images to sequences by slicing them into patches.
• Model-Contrastive Federated Learning
  30 Mar 2021 6 repositories listed Syntology ran 2 of 9 samples · 7 unverified
  A key challenge in federated learning is to handle the heterogeneity of local data distribution across parties.
• Fast and Accurate Model Scaling
  11 Mar 2021 6 repositories listed Syntology ran 1 of 1 samples · 0 unverified
  This leads us to propose a simple fast compound scaling strategy that encourages primarily scaling model width, while scaling depth and resolution to a lesser extent.
• MOPO: Model-based Offline Policy Optimization
  27 May 2020 6 repositories listed Syntology ran 3 of 8 samples · 5 unverified
  We also characterize the trade-off between the gain and risk of leaving the support of the batch data.

Syntology lines on 24 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.