Paperswithcode

One-stop shop to learn about state-of-the-art research papers with access to open-source paperswithcode including machine learning models, datasets, methods, evaluation tables, and code, paperswithcode.

To overcome this dilemma, we observe the high similarity between the input from adjacent diffusion steps and propose displaced patch parallelism, which takes advantage of the sequential nature of the diffusion process by reusing the pre-computed feature maps from the previous timestep to provide context for the current step. Recent studies have demonstrated the capabilities of LLMs to automatically conduct prompt engineering by employing a meta-prompt that incorporates the outcomes of the last trials and proposes an improved prompt. Prompt Engineering. Marketing Video Generation. It can be used to obtain complete information, so that train-from-scratch models can achieve better results than state-of-the-art models pre-trained using large datasets, the comparison results are shown in Figure 1. Additionally, a comprehensive review of the existing available dataset resources is also provided, including statistics from datasets, covering 8 language categories and spanning 32 domains.

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Image by author The name tells everything. The ability of Large Language Models LLMs to process and generate coherent text paperswithcode markedly weakened when the number of input tokens exceeds their pretraining length. It is the next-generation knowledge-sharing platform that is community-driven and open to edits like Wikipedia under the CC-BY-SA license, paperswithcode, paperswithcode.

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Badges are live and will be dynamically updated with the latest ranking of this paper. Facial Action Units AU is a vital concept in the realm of affective computing, and AU detection has always been a hot research topic. Existing methods suffer from overfitting issues due to the utilization of a large number of learnable parameters on scarce AU-annotated datasets or heavy reliance on substantial additional relevant data. An individual MoKE specific to a certain AU with minimal learnable parameters first integrates personalized multi-scale and correlation knowledge. Extensive experiments from various perspectives, including within-domain, cross-domain, data efficiency, and micro-expression domain, demonstrate AUFormer's state-of-the-art performance and robust generalization abilities without relying on additional relevant data. Stay informed on the latest trending ML papers with code, research developments, libraries, methods, and datasets.

Paperswithcode

Both individuals and organizations that work with arXivLabs have embraced and accepted our values of openness, community, excellence, and user data privacy. Have an idea for a project that will add value for arXiv's community? Learn more about arXivLabs. Download a PDF of the paper titled Simple linear attention language models balance the recall-throughput tradeoff, by Simran Arora and 8 other authors. Subjects: Computation and Language cs. CL ; Machine Learning cs. LG Cite as: arXiv CL] or arXiv

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You need to log in to edit. Apart from that, you can mirror the results of competitions on Papers with Code. Image by author The name tells everything. It can be used to obtain complete information, so that train-from-scratch models can achieve better results than state-of-the-art models pre-trained using large datasets, the comparison results are shown in Figure 1. You can reproduce the results by using the code, checking all the previous implementations with the model performance metrics, viewing the dataset, models, and methods used in the research paper. Paper Code. Abid Ali Awan 1abidaliawan is a certified data scientist professional who loves building machine learning models. The platform is well structured and organized as it divides various sections into smaller sub-sections. One-stop shop to learn about state-of-the-art research papers with access to open-source resources including machine learning models, datasets, methods, evaluation tables, and code. Each method has some sort of variation that has been used to create models or used in processing the data. Image by Machine Learning Datasets Methods The platform is well structured and organized as it divides various sections into smaller sub-sections. By subscribing you accept KDnuggets Privacy Policy. After selecting a field of study, you can explore various subfields and results.

The mission of Papers with Code is to create a free and open resource with Machine Learning papers, code, datasets, methods and evaluation tables. We also operate specialized portals for papers with code in astronomy, physics, computer sciences, mathematics and statistics. We hang out on Slack , come join us!

If you want to improve your current machine learning system then the Method section is the best place to find solutions. Terms Data policy Cookies policy from. His vision is to build an AI product using a graph neural network for students struggling with mental illness. Abid holds a Master's degree in Technology Management and a bachelor's degree in Telecommunication Engineering. If you want to add code to a paper, evaluation table, task or dataset then find the edit button on a particular page to modify it. Anyone can contribute by clicking on the edit button. State of the Art State of the Art section contains benchmark machine learning models, tasks and sub-tasks Knowledge Distillation, Few-Shot Image Classification , 65, papers with code. Gif from CoAtNet. One-stop shop to learn about state-of-the-art research papers with access to open-source resources including machine learning models, datasets, methods, evaluation tables, and code. Image by Machine Learning Datasets.