International Conference on Learning Representations

Last updated
International Conference on Learning Representations
International Conference on Learning Representations.svg
AbbreviationICLR
Discipline Machine learning, artificial intelligence, feature learning
Publication details
History2013–present
FrequencyAnnual
yes (on openreview.net)
Website https://iclr.cc/

The International Conference on Learning Representations (ICLR) is a machine learning conference typically held in late April or early May each year. The conference includes invited talks as well as oral and poster presentations of refereed papers. Since its inception in 2013, ICLR has employed an open peer review process to referee paper submissions (based on models proposed by Yann LeCun [1] ). In 2019, there were 1591 paper submissions, of which 500 accepted with poster presentations (31%) and 24 with oral presentations (1.5%). [2] In 2021, there were 2997 paper submissions, of which 860 were accepted (29%). [3]

Contents

Locations

See also

Related Research Articles

<span class="mw-page-title-main">Geoffrey Hinton</span> British-Canadian computer scientist and psychologist (born 1947)

Geoffrey Everest Hinton is a British-Canadian computer scientist and cognitive psychologist, most noted for his work on artificial neural networks. From 2013 to 2023, he divided his time working for Google and the University of Toronto, before publicly announcing his departure from Google in May 2023, citing concerns about the risks of artificial intelligence (AI) technology. In 2017, he co-founded and became the chief scientific advisor of the Vector Institute in Toronto.

<span class="mw-page-title-main">Conference on Neural Information Processing Systems</span> Machine-learning and computational-neuroscience conference

The Conference and Workshop on Neural Information Processing Systems is a machine learning and computational neuroscience conference held every December. The conference is currently a double-track meeting that includes invited talks as well as oral and poster presentations of refereed papers, followed by parallel-track workshops that up to 2013 were held at ski resorts.

<span class="mw-page-title-main">Academic conference</span> Conference for researchers to present and discuss their work

An academic conference or scientific conference is an event for researchers to present and discuss their scholarly work. Together with academic or scientific journals and preprint archives, conferences provide an important channel for exchange of information between researchers. Further benefits of participating in academic conferences include learning effects in terms of presentation skills and "academic habitus", receiving feedback from peers for one's own research, the possibility to engage in informal communication with peers about work opportunities and collaborations, and getting an overview of current research in one or more disciplines.

Abstract management is the process of accepting and preparing abstracts for presentation at an academic conference. The process consists of either invited or proffered submissions of the abstract or summary of work. The abstract typically states the hypothesis, tools used in research or investigation, data collected, and a summary or interpretation of the data.

<span class="mw-page-title-main">Willem C. Vis Moot</span> International moot competition

The Willem C. Vis International Commercial Arbitration Moot or Vis Moot is an international moot competition. Since 1994, it has been held annually in Vienna, Austria, attracting more than 300 law schools from all around the world and spurring the creation of more than 20 pre-moots each year before the actual rounds are held in Vienna. It is the largest arbitration moot competition, and second-largest moot overall, in the world; considered a grand slam or major moot. A sister moot, known as the Willem C. Vis (East) Moot, is held in Hong Kong just before the rounds in Vienna. It was established in 2003 and attracts around 150 teams every year, making it the second largest commercial arbitration moot and also a grand slam moot. It uses the same moot problem as the Vis Moot, as does the various pre-moot friendlies.

IPSN, the IEEE/ACM International Conference on Information Processing in Sensor Networks, is an academic conference on sensor networks with its main focus on information processing aspects of sensor networks. IPSN draws upon many disciplines including signal and image processing, information and coding theory, networking and protocols, distributed algorithms, wireless communications, machine learning, embedded systems design, and databases and information management.

The International Conference on Machine Learning (ICML) is the leading international academic conference in machine learning. Along with NeurIPS and ICLR, it is one of the three primary conferences of high impact in machine learning and artificial intelligence research. It is supported by the International Machine Learning Society (IMLS). Precise dates vary year to year, but paper submissions are generally due at the end of January, and the conference is generally held the following July. The first ICML was held 1980 in Pittsburgh.

The Interservice/Industry Training, Simulation and Education Conference (I/ITSEC) is an annual conference in Orlando, Florida organized by the National Training and Simulation Association held at the Orange County Convention Centre, a large conference and exhibition centre located on Exhibition Drive on the south side of Orlando.

<span class="mw-page-title-main">Yann LeCun</span> French computer scientist (born 1960)

Yann André LeCun is a Turing Award winning French-American computer scientist working primarily in the fields of machine learning, computer vision, mobile robotics and computational neuroscience. He is the Silver Professor of the Courant Institute of Mathematical Sciences at New York University and Vice-President, Chief AI Scientist at Meta.

The AAAI Conference on Artificial Intelligence (AAAI) is one of the leading international academic conference in artificial intelligence held annually. It ranks 4th in terms of H5 Index in Google Scholar's list of top AI publications, after ICLR, NeurIPS, and ICML. It is supported by the Association for the Advancement of Artificial Intelligence. Precise dates vary from year to year, but paper submissions are generally due at the end of August to beginning of September, and the conference is generally held during the following February. The first AAAI was held in 1980 at Stanford University, Stanford California.

The International Society of Military Sciences (ISMS) is an international organization whose stated aim is to build a strong network for the creation, development, exchange and diffusion of research and knowledge about war, conflict management and peace support efforts. The ISMS was founded in October 2008. The Austrian National Defence Academy, the Royal Military College of Canada, the Royal Danish Defence College, the Finnish National Defence University, the Netherlands Defence Academy, the Norwegian Defence University College, the Swedish National Defence College and the Baltic Defence College established this society with the intention to further research and academic education in military arts and sciences in the broadest sense.

Google Brain was a deep learning artificial intelligence research team under the umbrella of Google AI, a research division at Google dedicated to artificial intelligence. Formed in 2011, it combined open-ended machine learning research with information systems and large-scale computing resources. It created tools such as TensorFlow, which allow neural networks to be used by the public, and multiple internal AI research projects, and aimed to create research opportunities in machine learning and natural language processing. It was merged into former Google sister company DeepMind to form Google DeepMind in April 2023.

<span class="mw-page-title-main">Timnit Gebru</span> Computer scientist

Timnit Gebru is an Eritrean Ethiopian-born computer scientist who works in the fields of artificial intelligence (AI), algorithmic bias and data mining. She is an advocate for diversity in technology and co-founder of Black in AI, a community of Black researchers working in AI. She is the founder of the Distributed Artificial Intelligence Research Institute (DAIR).

<span class="mw-page-title-main">Michael Bronstein</span> Israeli computer scientist, entrepreneur

Michael Bronstein is an Israeli computer scientist and entrepreneur. He is a computer science professor at the University of Oxford.

The Tilman J. Fertitta Family College of Medicine, located in Houston, Texas, is the graduate medical school of the University of Houston. The school enrolled its first class of 30 students in 2020.

<span class="mw-page-title-main">Adji Bousso Dieng</span> Senegalese Computer Scientist

Adji Bousso Dieng is a Senegalese Computer Scientist and Statistician working in the field of Artificial Intelligence. Her research bridges probabilistic graphical models and deep learning to discover meaningful structure from unlabelled data. She is currently an Artificial Intelligence Research Scientist at Google Brain in Mountain View, California. In 2021, she will start her tenure-track faculty position at Princeton University becoming the first Black female faculty member in the School of Engineering and Applied Science as well as the first Black faculty member ever in the Department of Computer Science. Dieng recently founded the non-profit “The Africa I Know” (TAIK) with the goal to inspire young Africans to pursue careers in STEM and AI by showcasing African role models, informing the general public about developments in STEM and AI by Africans, and educating the general public about the rich history of Africa.

<span class="mw-page-title-main">Black in AI</span> Technology research organization

Black in AI, formally called the Black in AI Workshop, is a technology research organization and affinity group, founded by computer scientists Timnit Gebru and Rediet Abebe in 2017. It started as a conference workshop, later pivoting into an organization. Black in AI increases the presence and inclusion of Black people in the field of artificial intelligence (AI) by creating space for sharing ideas, fostering collaborations, mentorship, and advocacy.

Nvidia GTC is a global artificial intelligence (AI) conference for developers that brings together developers, engineers, researchers, inventors, and IT professionals. Topics focus on AI, computer graphics, data science, machine learning and autonomous machines. Each conference begins with a keynote from Nvidia CEO and founder Jensen Huang, followed by a variety of sessions and talks with experts from around the world.

Meta AI is an artificial intelligence laboratory owned by Meta Platforms Inc.. Meta AI develops various forms of artificial intelligence, including augmented and artificial reality technologies. Meta AI is also an academic research laboratory focused on generating knowledge for the AI community. This is in contrast to Facebook's Applied Machine Learning (AML) team, which focuses on practical applications of its products.

Mi Zhang is a computer scientist at Ohio State University, where he is an Associate Professor of Computer Science and Engineering and the director of AIoT and Machine Learning Systems Lab. He is best known for his work in Edge AI, Artificial Intelligence of Things (AIoT), machine learning systems, and mobile health.

References

  1. "Proposal for A New Publishing Model in Computer Science". yann.lecun.com.
  2. "ICLR 2019 Conference". openreview.net.
  3. "ICLR 2021 Conference". openreview.net.
  4. "Major AI conference is moving to Africa in 2020 due to visa issues". 19 November 2018.
  5. "Major AI conference is moving to Africa in 2020 due to visa issues". VentureBeat. 2018-11-19. Retrieved 2020-10-07.