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International Conference on Learning Representations (ICLR)

Location: Kigali , Rwanda

Submission deadline: 9/21/2022

Conference dates: 5/1/2023 - 5/5/2023

Research H-index
147

Ranking & Metrics

Discipline name Position Best Scientists Publications D-Index
Computer Science 6 773 1037 147

Call for Papers

A non-exhaustive list of relevant topics explored at the conference include:

unsupervised, semi-supervised, and supervised representation learning
representation learning for planning and reinforcement learning
representation learning for computer vision and natural language processing
metric learning and kernel learning
sparse coding and dimensionality expansion
hierarchical models
optimization for representation learning
learning representations of outputs or states
implementation issues, parallelization, software platforms, hardware
applications in audio, speech, robotics, neuroscience, computational biology, or any other field
societal considerations of representation learning including fairness, safety, privacy

Overview

This ranking presents a comprehensive list of scientific conferences in the field of Engineering and Technology, reflecting a rigorous evaluation of their scholarly influence and impact. The ranking has been meticulously curated by Research.com, one of the foremost authorities in science research analytics across all major disciplines, including Engineering and Technology, and a provider of reliable data on scientific contributions since 2014.

Conference positions in this ranking are determined by a distinctive bibliometric score developed by Research.com. This score is calculated based on the estimated h-index and the number of leading scientists who have participated in each conference over the past three years. Such a multifaceted evaluation enables a nuanced assessment of both the quality of published research and the engagement of prominent researchers in the field.

The Impact Score values utilized for this ranking were gathered on 2024-11-27. The ranking methodology involved an exhaustive examination of over 2,262 conferences, each selected following a detailed inspection and rigorous assessment of more than 26,934 scientific documents published within the previous three years. The analysis incorporates contributions from 9,385 leading and highly respected scientists, underscoring the scholarly depth and breadth essential to the rankings.

For further insight into the rigorous methodology and analytical processes utilized in compiling these rankings, please refer to our Methodology Page.

Papers citation over time

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:

  • Yoshua Bengio (77 papers) published 11 papers at the last edition, 6 more than at the previous edition,
  • Sergey Levine (69 papers) published 18 papers at the last edition, 4 more than at the previous edition,
  • Aaron Courville (30 papers) published 8 papers at the last edition, 6 more than at the previous edition,
  • Ruslan Salakhutdinov (29 papers) published 5 papers at the last edition, 1 more than at the previous edition,
  • Pieter Abbeel (29 papers) published 6 papers at the last edition, 4 more than at the previous edition.

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:

  • Google (549 papers) published 116 papers at the last edition, 28 less than at the previous edition,
  • University of California, Berkeley (231 papers) published 57 papers at the last edition, 16 more than at the previous edition,
  • Carnegie Mellon University (217 papers) published 61 papers at the last edition, 17 more than at the previous edition,
  • Stanford University (208 papers) published 68 papers at the last edition, 24 more than at the previous edition,
  • Massachusetts Institute of Technology (193 papers) published 49 papers at the last edition the same number as at the previous edition.

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.

Publication chance based on affiliation

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.

Returning Authors Index

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.

Returning Institution Index

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.

The experience to innovation index

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:

  • Novice - P < 5 or C < 25 (the number of publications less than 5 or the number of citations less than 25),
  • Competent - P < 10 or C < 100 (the number of publications less than 10 or the number of citations less than 100),
  • Experienced - P < 25 or C < 625 (the number of publications less than 25 or the number of citations less than 625),
  • Master - P < 50 or C < 2500 (the number of publications less than 50 or the number of citations less than 2500),
  • Star - P ≥ 50 and C ≥ 2500 (both the number of publications greater than 50 and the number of citations greater than 2500).

The chart below illustrates experience levels of first authors in cases of publications with multiple authors.

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