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Benchmarks archive 2025-07-28

No benchmark for this task in the archive.

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

1 dataset whose archive record lists this task, ordered by the archive's paper count.

Subtasks archive 2025-07-28

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Most implemented papers archive 2025-07-28

30 shown of 951 papers with code (2,646 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.
• MLP-Mixer: An all-MLP Architecture for Vision
  4 May 2021 49 repositories listed Syntology ran 106 of 134 samples · 28 unverified · 36 pointer-only (licence)
  Convolutional Neural Networks (CNNs) are the go-to model for computer vision.
• Striving for Simplicity: The All Convolutional Net
  21 Dec 2014 37 repositories listed Syntology ran 0 of 6 samples · 6 unverified
  Most modern convolutional neural networks (CNNs) used for object recognition are built using the same principles: Alternating convolution and max-pooling layers followed by a small number of fully connected layers.
• RAFT: Recurrent All-Pairs Field Transforms for Optical Flow
  26 Mar 2020 17 repositories listed Syntology ran 40 of 66 samples · 26 unverified · 17 pointer-only (licence)
  RAFT extracts per-pixel features, builds multi-scale 4D correlation volumes for all pairs of pixels, and iteratively updates a flow field through a recurrent unit that performs lookups on the correlation volumes.
• Is Space-Time Attention All You Need for Video Understanding?
  9 Feb 2021 16 repositories listed Syntology ran 35 of 43 samples · 8 unverified · 14 pointer-only (licence)
  We present a convolution-free approach to video classification built exclusively on self-attention over space and time.
• CoAtNet: Marrying Convolution and Attention for All Data Sizes
  9 Jun 2021 14 repositories listed Syntology ran 2 of 5 samples · 3 unverified · 1 pointer-only (licence)
  Transformers have attracted increasing interests in computer vision, but they still fall behind state-of-the-art convolutional networks.
• Fastformer: Additive Attention Can Be All You Need
  20 Aug 2021 13 repositories listed Syntology ran 4 of 4 samples · 0 unverified · 3 pointer-only (licence)
  In this way, Fastformer can achieve effective context modeling with linear complexity.
• ReZero is All You Need: Fast Convergence at Large Depth
  10 Mar 2020 13 repositories listed Syntology ran 6 of 6 samples · 0 unverified
  Deep networks often suffer from vanishing or exploding gradients due to inefficient signal propagation, leading to long training times or convergence difficulties.
• Patches Are All You Need?
  24 Jan 2022 12 repositories listed Syntology ran 8 of 8 samples · 0 unverified
  Despite its simplicity, we show that the ConvMixer outperforms the ViT, MLP-Mixer, and some of their variants for similar parameter counts and data set sizes, in addition to outperforming classical vision models such as…
• Rigging the Lottery: Making All Tickets Winners
  25 Nov 2019 11 repositories listed Syntology ran 1 of 1 samples · 0 unverified
  There is a large body of work on training dense networks to yield sparse networks for inference, but this limits the size of the largest trainable sparse model to that of the largest trainable dense model.
• All you need is a good init
  19 Nov 2015 11 repositories listed Syntology ran 0 of 19 samples · 19 unverified · 2 pointer-only (licence)
  Experiment with different activation functions (maxout, ReLU-family, tanh) show that the proposed initialization leads to learning of very deep nets that (i) produces networks with test accuracy better or equal to…
• Once-for-All: Train One Network and Specialize it for Efficient Deployment
  26 Aug 2019 10 repositories listed Syntology ran 4 of 34 samples · 30 unverified
  On diverse edge devices, OFA consistently outperforms state-of-the-art (SOTA) NAS methods (up to 4.
• Differentiable All-pole Filters for Time-varying Audio Systems
  11 Apr 2024 8 repositories listed
  Infinite impulse response filters are an essential building block of many time-varying audio systems, such as audio effects and synthesisers.
• ChatGLM: A Family of Large Language Models from GLM-130B to GLM-4 All Tools
  18 Jun 2024 7 repositories listed Syntology ran 15 of 29 samples · 14 unverified
  We introduce ChatGLM, an evolving family of large language models that we have been developing over time.
• All Tokens Matter: Token Labeling for Training Better Vision Transformers
  22 Apr 2021 7 repositories listed Syntology ran 3 of 5 samples · 2 unverified · 3 pointer-only (licence)
  In this paper, we present token labeling -- a new training objective for training high-performance vision transformers (ViTs).
• Is Independent Learning All You Need in the StarCraft Multi-Agent Challenge?
  18 Nov 2020 7 repositories listed
  Most recently developed approaches to cooperative multi-agent reinforcement learning in the \emph{centralized training with decentralized execution} setting involve estimating a centralized, joint value function.
• 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.
• NLP Reproducibility For All: Understanding Experiences of Beginners
  26 May 2023 5 repositories listed
  As natural language processing (NLP) has recently seen an unprecedented level of excitement, and more people are eager to enter the field, it is unclear whether current research reproducibility efforts are sufficient…
• TSMixer: An All-MLP Architecture for Time Series Forecasting
  10 Mar 2023 5 repositories listed
  Extending them, in this paper, we investigate the capabilities of linear models for time-series forecasting and present Time-Series Mixer (TSMixer), a novel architecture designed by stacking multi-layer perceptrons…
• All for One and One for All: Improving Music Separation by Bridging Networks
  8 Oct 2020 5 repositories listed Syntology ran 1 of 10 samples · 9 unverified
  This paper proposes several improvements for music separation with deep neural networks (DNNs), namely a multi-domain loss (MDL) and two combination schemes.
• MegaLoc: One Retrieval to Place Them All
  24 Feb 2025 4 repositories listed Syntology ran 1 of 6 samples · 5 unverified
  We find that MegaLoc (1) achieves state of the art on a large number of Visual Place Recognition datasets, (2) impressive results on common Landmark Retrieval datasets, and (3) sets a new state of the art for Visual…
• DialogXL: All-in-One XLNet for Multi-Party Conversation Emotion Recognition
  16 Dec 2020 4 repositories listed
  Specifically, we first modify the recurrence mechanism of XLNet from segment-level to utterance-level in order to better model the conversational data.
• Attention is All You Need in Speech Separation
  25 Oct 2020 4 repositories listed
  Transformers are emerging as a natural alternative to standard RNNs, replacing recurrent computations with a multi-head attention mechanism.
• A Lip Sync Expert Is All You Need for Speech to Lip Generation In The Wild
  23 Aug 2020 4 repositories listed Syntology ran 1 of 2 samples · 1 unverified · 2 pointer-only (licence)
  However, they fail to accurately morph the lip movements of arbitrary identities in dynamic, unconstrained talking face videos, resulting in significant parts of the video being out-of-sync with the new audio.
• Image Augmentation Is All You Need: Regularizing Deep Reinforcement Learning from Pixels
  28 Apr 2020 4 repositories listed Syntology ran 6 of 10 samples · 4 unverified · 8 pointer-only (licence)
  We propose a simple data augmentation technique that can be applied to standard model-free reinforcement learning algorithms, enabling robust learning directly from pixels without the need for auxiliary losses or…
• Fast Transformer Decoding: One Write-Head is All You Need
  6 Nov 2019 4 repositories listed Syntology ran 0 of 3 samples · 3 unverified
  Multi-head attention layers, as used in the Transformer neural sequence model, are a powerful alternative to RNNs for moving information across and between sequences.
• Diversity is All You Need: Learning Skills without a Reward Function
  16 Feb 2018 4 repositories listed Syntology ran 5 of 11 samples · 6 unverified
  On a variety of simulated robotic tasks, we show that this simple objective results in the unsupervised emergence of diverse skills, such as walking and jumping.
• End-to-end Training for Whole Image Breast Cancer Diagnosis using An All Convolutional Design
  15 Nov 2017 4 repositories listed
  We also demonstrate that a whole image model trained on DDSM can be easily transferred to INbreast without using its lesion annotations and using only a small amount of training data.
• All-but-the-Top: Simple and Effective Postprocessing for Word Representations
  5 Feb 2017 4 repositories listed Syntology ran 2 of 26 samples · 24 unverified
  The postprocessing is empirically validated on a variety of lexical-level intrinsic tasks (word similarity, concept categorization, word analogy) and sentence-level tasks (semantic textural similarity and { text…
• It's Written All Over Your Face: Full-Face Appearance-Based Gaze Estimation
  27 Nov 2016 4 repositories listed
  Eye gaze is an important non-verbal cue for human affect analysis.

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.