Kigali , Rwanda
Submission Deadline: Wednesday 21 Sep 2022
Conference Dates: May 01, 2023 - May 05, 2023
The discussions in International Conference on Learning Representations mainly cover the fields of Artificial intelligence, Machine learning, Artificial neural network, Algorithm and Deep learning. Natural language processing and Pattern recognition are some topics wherein Artificial intelligence research discussed in International Conference on Learning Representations have an impact. The Pattern recognition research dealing mostly with Convolutional neural network is the focus of it.
International Conference on Learning Representations holds forums on Machine learning that merges themes from other disciplines such as Adversarial system, Inference, Robustness (computer science) and Benchmark (computing). The event facilitates discussions on Artificial neural network that incorporate concepts from other fields like Generalization and Theoretical computer science. Reinforcement learning research featured in International Conference on Learning Representations incorporates concerns from various other topics such as Mathematical optimization and Human–computer interaction.
The conference publications explore disciplines such as Artificial intelligence, Machine learning, Artificial neural network, Algorithm and Pattern recognition. Aside from discussions in Artificial intelligence, the conference papers also deal with the subject of Natural language processing which intersects with Word (computer architecture) disciplines. The published papers facilitate discussions on Machine learning that incorporate concepts from other fields like Language model, Inference and Benchmark (computing).
A key indicator for each conference is its effectiveness in reaching other researchers with the papers published at that venue.
The chart below presents the interquartile range (first quartile 25%, median 50% and third quartile 75%) of the number of citations of articles over time.
The top authors publishing at International Conference on Learning Representations (based on the number of publications) are:
The overall trend for top authors publishing at this conference is outlined below. The chart shows the number of publications at each edition of the conference for top authors.
Only papers with recognized affiliations are considered
The top affiliations publishing at International Conference on Learning Representations (based on the number of publications) are:
The overall trend for top affiliations publishing at this conference is outlined below. The chart shows the number of publications at each edition of the conference for top affiliations.
The publication chance index shows the ratio of articles published by the best research institutions at the conference edition to all articles published within that conference. The best research institutions were selected based on the largest number of articles published during all editions of the conference.
The chart below presents the percentage ratio of articles from top institutions (based on their ranking of total papers).Top affiliations were grouped by their rank into the following tiers: top 1-10, top 11-20, top 21-50, and top 51+. Only articles with a recognized affiliation are considered.
During the most recent 2021 edition, 1.45% of publications had an unrecognized affiliation. Out of the publications with recognized affiliations, 44.91% were posted by at least one author from the top 10 institutions publishing at the conference. Another 13.85% included authors affiliated with research institutions from the top 11-20 affiliations. Institutions from the 21-50 range included 20.25% of all publications and 20.99% were from other institutions.
A very common phenomenon observed among researchers publishing scientific articles is the intentional selection of conferences they have already attended in the past. In particular, it is worth analyzing the case when the authors participate in the same conference from year to year.
The Returning Authors Index presented below illustrates the ratio of authors who participated in both a given as well as the previous edition of the conference in relation to all participants in a given year.
The graph below shows the Returning Institution Index, illustrating the ratio of institutions that participated in both a given and the previous edition of the conference in relation to all affiliations present in a given year.
Our experience to innovation index was created to show a cross-section of the experience level of authors publishing at a conference. The index includes the authors publishing at the last edition of a conference, grouped by total number of publications throughout their academic career (P) and the total number of citations of these publications ever received (C).
The group intervals were selected empirically to best show the diversity of the authors' experiences, their labels were selected as a convenience, not as judgment. The authors were divided into the following groups:
The chart below illustrates experience levels of first authors in cases of publications with multiple authors.
Apr 25, 2022 - Apr 25, 2022
International Conference on Learning Representations
Thank you for information!