Most cited deep learning papers 2023

Most cited deep learning papers 2023. 20% are achieved for three-class and binary classification problems respectively, and by using deep learning, the achieved Deep Learning Conferences 2024/2025/2026. AAAI-23 Distinguished Paper Award. Top ISCA papers by Topic. This repository is an up-to-date list of significant AI papers organized by publication date. Borrowing the format of public competitions from engineering and computer science, a new type of Dec 18, 2023 · Article (102) Year. 1. VALL-E is able to imitate someone’s voice with only a 3-second recording with higher similarity and speech naturalness than ever Feb 24, 2023 · Here are the top 10 Deep Learning papers published in 2018 available on arxiv. [pdf] Greedy layer-wise training of deep networks (2007), Y. Bengio et al. We accomplish this by 1) identifying the top-40 most cited papers from arXiv in the given period, comparing the current top-40 papers to the previous report Dec 7, 2023 · The goal of this series is to chronicle opinions and issues in the field of machine learning as they stand today and as they change over time. See the full list of the most popular articles published in 2023! Follow the links above to see a list of results in IEEE This is a list of 100 important natural language processing (NLP) papers that serious students and researchers working in the field should probably know about and read. "Neural Machine Translation by Jointly Learning to Align and Translate" (2014) Authors: Dzmitry Bahdanau, Kyunghyun Cho, and Yoshua Bengio. Segment Anything by Meta AI. It covers five fields : computer vision, natural language processing, audio processing, multimodal learning and reinforcement learning. Authors. Even more interesting, output from leading AI research organizations features a much more diverse region. Due to its learning capabilities from data, DL technology originated from artificial neural network (ANN), has become a hot topic in the context of computing, and is widely applied in various Sep 5, 2023 · Here are the top 10 most cited papers of all time, according to the Web of Science: Protein measurement with the Folin phenol reagent (1951) by Oliver Lowry. [ 61 ], proposed a deep learning-based system for glaucoma diagnosis using retinal fundus images. When the cartilage in the knee joint between the femur and tibia wears down, it causes Knee Osteoarthritis, which results in significant j oint pain, joint movement restrictions, gait abnormalities, and even effusion. , the ResNet ML paper from 2016 has 161,000+ citations. This list is compiled by Masato Hagiwara. org, ranked by the number of citations they received (as of my knowledge cutoff date of September 2021): “BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding” by Jacob Devlin et al. Moreover, it has gradually become the most widely used computational approach in the field of ML, thus achieving outstanding results on several complex cognitive tasks, matching or even beating those provided by human performance. As evident by their titles, Fast R-CNN and Faster R-CNN worked to make the model faster and better suited for modern object detection tasks. 17 Jun 24. Date. Also, after this list comes out, another awesome list for deep learning beginners, called Deep Learning Papers Reading Roadmap, has been created and loved by many deep learning researchers. Short Papers. We observe the dominance of papers related to Large Language Models (LLMs) and specifically ChatGPT during the first half of 2023, with the latter showing signs of declining popularity more recently, however. Source: Zeta Alpha. Dec 5, 2023 · If you’d like to skip around, here are the research papers we featured: Sparks of AGI by Microsoft. Joar Skalse and Alessandro Abate. Paper Digest Team analyzes all papers published on ICML in the past years, and presents the 15 most influential papers for each year. Maintainer: Aimerou Ndiaye. Deep learning techniques have emerged as a promising approach for automated brain tumor detection, leveraging the power of artificial intelligence to analyse medical images accurately and efficiently. The full top-100 list for 2022 is included below in this post. Publishing. Comments: 15 pages, 11 figures, Accepted at DistributedML '23. Towards a Complete Analysis of Langevin Monte Carlo: Beyond Poincar\'e Inequality. by Arunabha M. Training a deep neural network to maximize a target objective has become the standard recipe for successful machine learning over the last decade. Research is not lagging behind either in January 2023. Disambiguated Attention Embedding for Multi-Instance Partial-Label Learning. 0). The Break-Even Point on Optimization Trajectories of Deep Neural Networks. using the examples below. This . Lily Goli, Cody Reading, Silvia Sellan, Alec Jacobson, Andrea Tagliasacchi. 53% were obtained respectively for the used models. DL is a form of machine learning that uses hierarchical layers of latent features. Reinforcement Learning & More. Several bone illnesses significantly influence the quality of life, including Knee Osteoarthritis. 2014–2020 are the years with more high-quality deep learning papers, indicating years between 2014 and 2020 Feb 7, 2023 · This paper introduces the 70-billion parameter Chinchilla model that outperforms the popular 175-billion parameter GPT-3 model on generative modeling tasks. GaN power device applications. Mar 8, 2021 · Mar 8, 2021. This ML paper introduced the most popular Meta projects of the year 2022: NLLB-200. One of them is related to text mining, especially text classification. 17 June 2024. Edge 358: Dives into the AGENTS paper which proposes a framework for building semi-autonomous agents. Mar 23, 2023 · An accuracy of 85. 2023 AAAI-23 Outstanding Paper Award. by Omar Enzo Santangelo, Vito Gentile, Stefano Pizzo, Domiziana Giordano and Fabrizio Cedrone. The ranking is based on the number of citations and Learning deep architectures for AI (2009), Y. Figure 1. Not All Out-of-Distribution Data Are Harmful to Open-Set Active Learning. We are pleased to invite you to read the Most Viewed Papers in 2023 in Cancers (ISSN: 2072-6694) on the topic of Cancer Survivorship and Quality of Life. Bayes' Rays: uncertainty quantification for neural radiance fields. Lee et al. Survey articles offer critical reviews of the state of the art and/or tutorial presentations of pertinent topics. I can promise you it won't. Highly Cited Researchers have demonstrated significant and broad influence in their field(s) of research. ” While this query encompasses the broader field, it also drowns you in a sea of information that may or may not be pertinent to your specific interests. May 12, 2023 · Fri Mar 10 - Fri May 12, 2023 Every Friday at 10am ET Every week! The 2023 in-person edition has completed during MIT IAP 2023 and was held in MIT Room 32-123. Jul 16, 2022 · This paper is a difficult read but a great survey of such a theory of deep learning. Taoran Fang, Zhiqing Xiao, Chunping Wang, Jiarong Xu, Xuan Yang, Yang Yang Jul 31, 2023 · In particular, we compile a list of the 40 most popular papers based on normalized citation counts from the first half of 2023. To celebrate brilliant science and the researchers behind it, we're sharing the top-cited article from each of our journals in 2021. This repository is a comprehensive collection of research papers, annotations, and concise summaries in the field of Natural Language Processing (NLP). net) Paper. Google published the most papers overall from 2020-2022, followed very closely by China’s Tsinghua University. The 7th International Conference on Applied Research in Basic Sciences, Engineering and Technology (CONFITC07), Avicenna International Community College Oct 1, 2022 · The most prevalent method is to convert 3D MRI image into 2D images so that conventional 2D Deep Learning models may be employed. Our normalized metrics are built with high quality data and reliable baselines to help you accurately identify top performing research. Now, within the first week of 2023, researchers have already created a new system for audio data called VALL-E. “The Lottery Ticket Hypothesis: Finding Sparse, Trainable Neural Networks”. . Two Outstanding Main Track Runner-Ups. Title. Dec 21, 2019 · But never say never. Machine Translation and “Multilinguality” (Multilingualism) Interpretability and Analysis of Models for NLP. This research study aims to explore the current state-of-the-art deep Oct 3, 2022 · 2. Jun 15, 2023 · ML papers in general are among the most highly cited in all of science and engineering, e. Explore the latest advances in speech and language processing. Summary: This paper introduced a new approach to neural machine translation that learns to align and translate words between source and target languages simultaneously. [pdf] Read the full list here . I welcome any feedback on this list. Code included. Machine Learning for NLP. Feel free to give this repository a star if you enjoy the work. This paper talks about how Meta built and open-sourced this state-of-the-art AI model at FAIR, which is capable of translating 200 languages between each other. In the early phase of training of deep neural networks there exists a “break-even point” which determines properties of the entire optimization trajectory. Submission deadline: Thursday, 30 November 2023 . They have been or will be eligible to be written into machine learning, deep learning Jun 6, 2022 · The 60th Annual Meeting of the ACL took place from May 22–27, 2022 as a hybrid event, in Dublin and online. Clear indicators. LLaVA by University of Wisconsin–Madison, Microsoft, and Columbia University. Hamayel and Amani Yousef Owda. This study offers an image-based calorie estimation system that asks the user to upload an image of a food item in order to calculate the estimated number of calories in the image Learn how to create in-text citations and a full citation/reference/note for Deep Learning by Goodfellow et al. Deep Learning Conferences 2024/2025/2026 is an indexed listing of upcoming meetings, seminars, congresses, workshops, programs, continuing CME courses, trainings, summits, and weekly, annual or monthly symposiums. Image Segmentation / Object Detection. The 2021 edition of the most beloved conference in Artificial Intelligence is here to end the year with a ‘grand finale’. By Thuy T. by Mohammad J. 5. You can [] Machine Learning and Prediction of Infectious Diseases: A Systematic Review. Generative Agents by Stanford University and Google. PALM-E by Google. Feature papers represent the most advanced research with significant potential for high impact in the field. MetisFL: An Embarrassingly Parallelized Controller for Scalable & Efficient Federated Learning Workflows. g. Therefore, again, make sure to start with a well-known paper. In this work, noise removal algorithm was used to enhance the quality of images. Next Week in The Sequence: Edge 357: Our series about LLM reasoning explores chain-of-thought (CoT) prompting including its original paper. At the same time, every week brought a new breakthrough in prompting, fine-tuning Description. Oquab et al. A curated list of the latest breakthroughs in AI (in 2022) by release date with a clear video explanation, link to a more in-depth article, and code. Dec 1, 2020 · Our team reviewed the papers accepted to NeurIPS 2020 and shortlisted the most interesting ones across different research areas. We invite submissions of a Short paper for the Deep Learning Indaba 2023 that will take place from 3 rd September to 9 th September, 2023 in Accra, Ghana. International Journal of Computer Vision (IJCV) details the science and engineering of this rapidly growing field. Dec 20, 2023 · Object detection (computer vision) Image super-resolution. Optimization / Training Techniques. Understanding / Generalization / Transfer. Machine learning methods in cheminformatics have made great progress in using Jul 13, 2020 · The lead author, Shaoqing Ren, is also a co-author on Google’s most-cited paper for 2020, "Deep Residual Learning for Image Recognition", which has amassed almost 50,000 citations. As a multidisciplinary publication, Nature features peer-reviewed research from a variety of academic disciplines, mainly in science, technology, and the natural sciences. Brain tumours pose a significant health risk, and early detection plays a crucial role in improving patient outcomes. [pdf] Reducing the dimensionality of data with neural networks, G. Here, I put together a list of 5 notable AI papers from this January 2023 top publications, covering new research in computer vision, natural language processing, and more. Bernhard Jaeger, Andreas Geiger. Star the repository to support the advancement of speech technology! License Jul 20, 2018 · Deep Learning. May 8, 2023 · Moshkan Farahani, Parmida and Kavi, Ayeh and Karami Ata, Zahra and Jamali, Seyedh Mahboobeh, The Top 100 Most Cited Articles on Machine Learning in the Subject Area of Physics (March 14, 2023). By using 22 brain disease databases that are used most during the reviews, the authors can determine the most accurate diagnostic method. Radar-based health monitoring. Two Outstanding Datasets and Benchmark Track Papers. One of the benefits of DL Mar 27, 2023 · Remember, implementing deep learning papers from scratch is not an easy thing to do! Don't get frustrated if it doesn't work immediately. In this issue, we probed people's opinions on Nov 30, 2021 · 3. Considering this scenario semi-supervised learning (SSL), the branch of machine learning concerned with using labeled Dec 13, 2023 · An Invitation to Deep Reinforcement Learning. It doesn’t have any articles published after 2016 because researchers and academics have released many documents since then, and it got too overwhelming for the project creators. Fergus [pdf] Decaf: A deep convolutional activation feature for generic visual recognition (2014), J. Deep Learning Conferences 2024/2025/2026 lists relevant events for national/international Mar 17, 2022 · Various diseases have recently wreaked influence on people's way of life. Computer Vision. 77. Feb 10, 2023 · Celebrating the most cited papers from 2021. These networks can be optimized with supervised learning, if the target objective is differentiable. During the study, by using machine learning techniques, accuracies of up to 81. Sparse Evolutionary Training, to boost Deep Learning scalability on various aspects (e. A challenge for the law and artificial intelligence. This ranking list is automatically 2 days ago · In this chart, we can see in which years do these most cited papers were published. [pdf] Visualizing and understanding convolutional networks (2014), M. 2023 was the year of chatbots and large language models (LLMs). In this paper, we present a novel deep image clustering approach termed PICI, which enforces the partial information discrimination and the cross-level interaction in a joint learning framework. Dimitris Stripelis, Chrysovalantis Anastasiou, Patrick Toral, Armaghan Asghar, Jose Luis Ambite. of Technology Sydney on April 6, 2017 in Deep Learning , Machine Learning , Research , Top list , Yoshua Bengio With the first R-CNN paper being cited over 1600 times, Ross Girshick and his group at UC Berkeley created one of the most impactful advancements in computer vision. Thus, the huge popularity of ML today likely accelerates citations to ML accelerators. Aug 24, 2021 · The five-year-old paper’s astonishing ascendancy continues, from 25,256 citations in 2019 to 49,301 citations in 2020 to 82,588 citations in 2021. Shubham et al. Computer Vision and Image Understanding publishes papers covering all aspects of image analysis from the low-level, iconic processes of early vision to the high-level, symbolic processes of recognition and interpretation. Here are the 20 most important (most-cited) scientific papers that have been published since 2014, starting with "Dropout: a simple way to prevent neural networks from overfitting". 0. High dimensional, tabular deep learning with an auxiliary knowledge graph. Pham , U. Code implementations included. Read more Jun 3, 2017 · Learning and transferring mid-Level image representations using convolutional neural networks (2014), M. Coverage includes: - Mathematical Feb 3, 2022 · Most Influential NATURE Papers (2022-02) February 3, 2022 admin. | Most Viewed Papers in 2023 in the Section “Cancer Survivorship and Quality of Life”. A wide range of topics in the image Besides, simple feed forward deep learning artificial neural network is introduced for these three-class and binary classifications. Image created with Zeta Alpha. If you are looking for additional help, try the EasyBib citation generator. Last year we saw the uprising of generative AI for both images and text, most recently with ChatGPT. It focuses on machine learning and deep learning techniques, providing valuable resources for NLP enthusiasts and researchers. The growth of the conference hasn’t ceased: last year’s conference — which we also reviewed — had 1899 main-track papers accepted, compared to this year’s 2334. Reinforcement Learning / Robotics. Tackling COVID-19 with AI & Machine Learning. Submissions are limited to only selected DLI2023 attendees who wish to have their research considered for Short Papers [Non Archival] by the Deep Learning Indaba. Each module in SachinKalsi / annotated-research-papers. [pdf] Convolutional deep belief networks for scalable unsupervised learning of hierarchical representations (2009), H. A point cloud is a large collection of 3D points defined by their 3D coordinates and attributes (e. This collection will be continuously updated with the journal's leading articles so be sure to revisit periodically to see what is being read and cited. Dec 12, 2023 · Deep Learning Image Reconstruction for CT: Technical Principles and Top 10 Most Cited Radiology Publications in 2023. ⭐ the repository for the development of visual intelligence! Oct 11, 2023 · Consider the importance of precision; imagine seeking the most cited deep learning papers and entering a broad query like “machine learning. Also during implementing, start easy and work your way up. LLaMA 2 by Meta AI. The central focus of this journal is the computer analysis of pictorial information. Aug 18, 2021 · Deep learning (DL), a branch of machine learning (ML) and artificial intelligence (AI) is nowadays considered as a core technology of today’s Fourth Industrial Revolution (4IR or Industry 4. Oct 12, 2023 · 12 October 2023. The SDL makes use of dual deep convolutional Jan 31, 2023 · The world of deep learning is advancing quickly, as we have seen with the latest buzz around ChatGPT. This can be accomplished by carving up the 3D_MRI image into 2D_slices/images. 2. Accepted Papers. Information Extraction. The plan is to host this survey periodically until the AI singularity paperclip-frenzy-driven doomsday, keeping an updated list of topical questions and interviewing new community members for each edition. Dec 18, 2023 · Bratislav Misic. Key Contributions of This Work x This is the first attempt at a systematic review of deep learning-based drought pre-diction models to the authors knowledge. U-Net: Research Paper: U-Net: Convolutional Networks for Biomedical Image Segmentation Authors: Olaf Ronneberger, Philipp Fischer, and Thomas Brox Summary: The task of segmenting involves categorizing similar parts of an image into a cluster. ” The paper defines the linear scaling law for large language model training. May 27, 2015 · A deep-learning architecture is a multilayer stack of simple modules, all (or most) of which are subject to learning, and many of which compute non-linear input–output mappings. Molecular cloning: A laboratory manual (1983) by Sambrook, Fritsch, and Maniatis. Dec 9, 2023 · In this arXiv report, the second of its kind, which covers the period from January to September 2023, we aim to provide insights and analysis that help navigate these dynamic areas of AI. DropMessage: Unifying Random Dropping for Graph Neural Networks. A Feature Paper should be a substantial original Article that involves several techniques or approaches, provides an outlook for future research directions and describes possible research applications. A Novel Cryptocurrency Price Prediction Model Using GRU, LSTM and bi-LSTM Machine Learning Algorithms. Misspecification in Inverse Reinforcement Learning. In Apr 3, 2023 · the recent deep learning models used for drought prediction to tackle drought. Roy and Jayabrata Bhaduri. In this article, we review the state-of-the-art of deep learning from a modeling and algorithmic perspective. Cancers. Before this list, there exist other awesome deep learning lists, for example, Deep Vision and Awesome Recurrent Neural Networks. Convolutional Network Models. This article introduces a new synergic deep learning (SDL)-based smart health diagnosis of COVID-19 using Chest X-Ray Images. Image / Video / Etc. - louisfb01/best_AI_papers_2022 Jan 6, 2024 · My Five Favorite AI Papers of 2023. We congratulate all the authors on this outstanding achievement. Jan 31, 2023 · A huge amount of data is generated daily leading to big data challenges. Jul 4, 2022 · Explore a collection of the most read and most cited articles making an impact in Briefings in Bioinformatics published within the past two years. 6G vision and challenges. Llama 2 models, which range from 7B to 70B parameters, are one of the reasons this paper made it onto this list: these are still among the most capable and widely used openly available models. 275: Learning from Positive and Unlabeled Multi-Instance Bags in Anomaly Detection Jan 13, 2023 · No Language Left Behind: Scaling Human-Centered Machine Translation. Alireza Mousavi-Hosseini (University of Toronto, Vector Institute)*; Tyler K Farghly (University of Oxford); Ye He (University of California, Davis); Krishna Balasubramanian (University of California, Davis); Murat A Erdogdu Citations. This list is originally based on the answers for a Quora question I posted years ago: What are the Essential Science Indicators is sourced from the uniquely curated, meticulously indexed publications data in Web of Science Core Collection. CVPR 2023 Papers: Explore a comprehensive collection of cutting-edge research papers presented at CVPR 2023, the premier computer vision conference. ChatGPT user perceptions and experiences. Here are the topics we cover: Natural Language Processing & Conversational AI. 5 minute read 10 February 2023. regan-zhang/pici • • 24 Jan 2024. The International Conference on Machine Learning (ICML) is one of the top machine learning conferences in the world. Proceedings. 134 publications. Zeiler and R. Article. 2023 (102) Multi-modal molecule structure–text model for text-based retrieval and editing. To perform this task we usually need a large set of labeled data that can be expensive, time-consuming, or difficult to be obtained. Most of the Deep Learning models are designed for RGB images, where the 3 color channels constitute the third dimension. Artificial intelligence ethics. More Papers from 2016. Nov 29, 2023 · Discovered stable crystals. The paper list is as follows: “Update on Prevalence of Pain in Patients Mar 3, 2022 · Using machine learning and deep learning platforms, this study aims to combine recent research on four brain diseases: Alzheimer's disease, brain tumors, epilepsy, and Parkinson's disease. A Sparse Training repository for the Adaptive Sparse Connectivity concept and its algorithmic instantiation, i. However, its main punchline is that contemporary large language models are “significantly undertrained. Obesity, a serious chronic disease, is on the rise as a result of how easily food can be brought to our door steps. Recognising, publishing, and promoting excellence in science are part of our core values as a not-for-profit society publisher. Bengio. 29%, 77. We wrote about it last year here. These were the Top 10 themes in this year’s conference. A Deep Learning Enabled Multi-Class Plant Disease Detection Model Based on Computer Vision. 65% and 93. Jan 9 2024 Default Digital Object Series. They are sorted according to the number of times they are cited, divided into top10, the number of citations exceeds 2 million, the number of citations exceeds 1 million, and the 4 part of the future has potential. 61%, 81. Dec 20, 2023 · The 10 developments that reshaped computer vision. 50. These awards are presented to papers in the top one per cent of the most-cited articles recently published in our journals* with corresponding authors based in North America. INTERSPEECH 2023 Papers: A complete collection of influential and exciting research papers from the INTERSPEECH 2023 conference. Deep learning (DL) is a high dimensional data reduction technique for constructing high-dimensional predictors in input-output models. Regular articles present major technical advances of broad general interest. Dec 30, 2023 · Llama 2: Open Foundation and Fine-Tuned Chat Models is the follow-up paper to Meta's popular first Llama paper. This Github project shares the most cited deep learning papers that were published between the years 2012 and 2016. Below are the top-10 most impactful research papers published in top AI conferences during the last 5 years. Practical Differentially Private Hyperparameter Tuning with Subsampling. We also explore the ThinkGPT framework. memory and computational time efficiency, representation and generalization power). Hinton and R Jul 29, 2022 · 3. Unsupervised / Generative Models. Deep Learning is cited in 14 different citation styles, including MLA, APA, Chicago, Harvard, APA, ACS, and many others. China and the UK have both gained positions in 2022. Donahue et al. Really important theoretical This paper sorts out the classic papers that appear in the history of machine learning. Dec 11, 2023 · We are honored to announce the award-winning papers for NeurIPS 2023! This year’s prestigious awards consist of the Test of Time Award plus two Outstanding Paper Awards in each of these three categories: Two Outstanding Main Track Papers. e. The online edition of the course is now live on Friday at 10am ET, every week! Subscribe here to be notified when a new lecture is released! New lectures, competitions, & prizes! Sep 4, 2023 · 7. The 2021 Mar 2, 2023 · The United States and Google still dominate, and DeepMind has had a stellar year of success, but given its volume of output, OpenAI is really in a league of its own both in product impact, and in research that becomes quickly and broadly cited. Apr 10, 2023 · Most Influential ICML Papers (2023-04) April 10, 2023 admin. Oct 27, 2023 · Therefore, to gain a deeper understanding of the research hotspots and possible development trends of deep learning-based medical image processing, this study aims to analyze highly cited papers published between 2013 and 2023 using bibliometric methods, intends to identify the authors, institutions, and countries with the most research Apr 25, 2023 · US authors made it to the top 100 78 times in 2020. Easy-to-use Hot Paper and Highly Cited Paper North America: Top Cited Paper Award Congratulations to the 2023 Top Cited Paper Award winners from North America. 81. — This paper introduced the Bidirectional Encoder Learning Representations for Clustering via Partial Information Discrimination and Cross-Level Interaction. Keep up to date with the latest advances in computer vision and deep learning. Nov 30, 2023 · Call for Papers Deep-Learning-Based Point Cloud Processing, Compression and Analysis. Mar 9, 2023 · 10 Amazing Machine Learning Visualizations You Should Know in 2023 Data visualization plays an important role in machine learning. Most Cited Deep Learning Papers. Robust Reinforcement Learning: A Review of Foundations and Recent Advances. The application of recent artificial intelligence (AI) and deep learning (DL) approaches integrated to radiological images finds useful to accurately detect the disease. From GPT-4 to Mixtral, to Llamas, Vicunas, Dolphins, and Orcas, it seemed like every day saw a new state-of-the-art model on some benchmark. Nature is a British weekly scientific journal founded and based in London, England. People's need for food grew, and at the same time, their anxiety about their nutrition also grew. Data visualization use cases in machine learning include: hyperparameter tuning, model performance evaluation, validating model assumptions, finding outliers, selecting the most important features, identifying Jan 25, 2023 · Most Influential ICML Papers (2023-01) January 25, 2023 admin. Using the described process of scaling deep learning for materials exploration, we increase the number of known stable crystals by almost an order of magnitude. Jan 17, 2024 · Explore a selection of our recent research on some of the most complex and interesting challenges in AI. Mar 31, 2021 · In the last few years, the deep learning (DL) computing paradigm has been deemed the Gold Standard in the machine learning (ML) community. 10800. The double helix: A structure for DNA (1953) by James Watson and Francis Crick. I showed the data to Thierry Tambe, who was visiting Berkeley. Deep Weakly-supervised Anomaly Detection: Guansong Pang (Singapore Management University), Chunhua Shen (Zhejiang University), Huidong Jin (Data61), Anton van den Hengel (University of Adelaide) Anomaly Detection: 1. The Symposium will provide a forum for discussing new DL advances, challenges, brainstorming new solutions and directions between top scientists, researchers, professionals, practitioners and students with an interest in DL and related areas including applications to autonomous transportation, communications, medical, financial services, etc. , color, reflectance, transparency). Each researcher selected has authored multiple Highly Cited Papers™ which rank in the top 1% by citations for their field(s) and publication year in the Web of Science™ over the past decade. There is currently no comprehensive review on deep learning models, making this study even more crucial. (TL;DR, from OpenReview. News & Views 18 Dec 2023. Each year scientists from around the world publish thousands of research papers in AI but only a few of them reach wide audiences and make a global impact in the world. zr zb cm qn cl ui qe am cm zi