Several artificial intelligence Conference _SCI

Description: Purely personal view, for reference only. Tier-1 is more complete, tier-2 is not complete, tier-3 is very incomplete.

In alphabetical order.

Not very strictly speaking, tier-1 can be admirable, tier-2 can be respectable,

Because Ai has a lot of related meetings, it is also good to list the tier-3.

========================================================== tier-1:

IJCAI (1+): International Joint conference on Artificial Intelligence

AAAI (1): National Conference on Artificial Intelligence

COLT (1): Annual conference on Computational Learning theory

CVPR (1): IEEE International Conference on Computer Vision and pattern recognition

ICCV (1): IEEE International Conference on Computer Vision

ICML (1): International Conference on Machine Learning

NIPS (1): Annual conference on Neural Information Processing Systems

ACL (N): Annual meeting of the Association for Computational Linguistics

KR (n): International Conference on Principles of Knowledge representation and reasoning

Sigir (N): annual International ACM SIGIR Conference on the on and Development in information

SIGKDD (n): ACM SIGKDD International Conference on Knowledge Discovery and Data Mining

UAI (n): International conference on uncertainty in Artificial Intelligence

*impact factor (according to CiteSeer 03):

ijcai:1.82 (Top 4.09)

aaai:1.49 (Top 9.17%)

colt:1.49 (Top 9.25%)

iccv:1.78 (Top 4.75%)

icml:2.12 (Top 1.88%)

nips:1.06 (Top 20.96%)

acl:1.44 (Top 10.07%)

kr:1.76 (Top 4.99%)

sigir:1.10 (Top 19.08%)

average:1.56 (Top 8.02%)

IJCAI (1+): AI best Comprehensive meeting, starting in 1969, every two years, open odd years. Because the AI is too big, so although each session can basically record more than 100 (now to more than 200), but divided into each field is not a few, such as machine learning, computer vision such a large area each time about 10, so the difficulty is very big. But from the hiring rate is not too low, basically about 20%, because insiders will weigh the weight, no hope is not to waste reviewer time. The recent articles on the Chinese mainland for international conferences are like the tide, and because there are few research groups in the country that can be complain by themselves, many meetings are being held in the state that China's Low-quality articles seriously hamper PC productivity. In this context, it is estimated that the recruitment rate for international conferences will be lowered over the years. In addition, the former IJCAI is not poster, began in 03, in order to reduce the good people killed by manslaughter, added 2 pages of poster. It is worth mentioning that IJCAI is made up of seemingly a company's "Ijcai Inc." Sponsored (of course not actually a company, actually a foundation), each meeting will be issued a few prizes, the most important two are IJCAI Excellence Award and Computer & Thoughts Award, the former is a lifetime achievement award, One person at a time is basically the highest award for AI (interestingly, 2 of the 6 people who have won the Turing Prize for the AI are not yet awarded the prize), the latter being awarded to a young scientist, who is under 35 years of age, one person at a time. The award-winning speeches of these two prizes are a major play of IJCAI each time. In addition, IJCAI's PC member is equivalent to the area chair of other meetings, because it is the power of the PC member to find reviewer, unlike the general Meeting PC member, which is actually r Eviewer. In order to restrict this power, IJCAI's peer review program is assigned 2 pcs per article member, primary PC member to find 3-bit reviewer, second PC member to find one.

AAAI (1): Annual meeting of the AAAI of the American Artificial Intelligence Society. is a good meeting, but its grade is not stable, can give 1 +, also can give to 1-or the 1″, in general I give it "". This is because its opening is completely constrained by IJCAI: open every year, but if the ijcai of the year is held in North America, then stop. So in even-numbered years, because there is no ijcai, it is the best AI comprehensive meeting, but because the appeal is smaller than the IJCAI, especially the European people aaai field than ijcai much less (in fact, Asian people), so than IJCAI or to slightly weaker, basically between 1 and 1+; In odd-numbered years, if IJCAI is not in North America, AAAI naturally becomes a lower-level conference than IJCAI (1-or), for example, in 2005 both IJCAI and AAAI, and two meetings were coordinated, Make IJCAI hiring notice time than AAAI deadline early in a few days, so Ijcai lost article can cast to AAAI. When reviewing the IJCAI PC chair also been urging, said we must be fast, Because AAAI there has been worried about IJCAI hiring notice late AAAI on the trouble.

COLT (1): This is the best computational learning Theory Conference, ACM hosted, held annually. The theory of computational learning can be regarded as a cross between theoretical computer science and machine learning, so this will be seen by some as a meeting of theoretical computer science rather than AI. A friend of mine made a wonderful portrayal of it in one sentence: "A small group of mathematicians in a meeting." Because the colt area is relatively small, the annual meeting is basically those people. Here's an interesting thing to do, because there have been so many meetings in the country lately and so many meetings are lncs/lnai out of papers, Lncs/lnai are basically smelly, but unfortunately there are some good meetings in Lncs/lnai, such as Colt.

CVPR (1): One of the best meetings in computer vision and Pattern recognition, IEEE hosted, held annually. Although the topic has computer vision, but the individual thinks its pattern recognition tastes heavier. In fact it should be the best meeting of pattern recognition, and in computer vision, there is ICCV. The IEEE has always had a tendency to make it a "grand event", and in history some of it would have been a "grand event" from quality very well. CVPR to go this way. There have been a lot of articles recorded in these years. Recently in charge of the CVPR meeting of the TC chair letter said, for this community, let the good man be manslaughter than by the bad guy, so we are not to reduce the chance of good people being killed? So I guess the next year or the CVPR will be enlarged recruit.

ICCV (1): When I introduced CVPR, I said, one of the best computer vision. IEEE hosted, held every year. (Note: I checked the next 2011 years before the two year, after the annual meeting)

ICML (1): One of the best sessions in machine learning. It is now hosted by IMLS and held annually. See the introduction to Nips.

NIPS (1): One of the best neurological computing meetings, NIPS hosted, held annually. It is noteworthy that this will be the same place every year, formerly the United States Denver, is now Vancouver, Canada; And it is the year of the end of the meeting, will be the 2nd years after the opening of the proceedings, that is, NIPS ' 05 of the proceedings are 06 out. The name of the conference is "advances in neural information processing Systems", so, unlike ICML\ECML's "standard" machine learning Conference, NIPS has a considerable amount of neuroscience content, and machine learning has certain Distance. However, because the main content of the conference is machine learning, or the close relationship with machine learning, many people regard nips as one of the best meeting in machine learning. The meeting was largely controlled by Michael Jordan's Streiss, so for the Jordan, it is not difficult to send nips, some may not be very strong work can also be sent up, but for people outside this circle, want to send a paper is very difficult, because left "outsiders" a small hole. So for people outside the Jordan system, it is more difficult to send nips than ICML. In other words, ICML is more open, the influence of small circles is not as big as nips, so the North American and European people recognize, and nips some people (especially some Europeans, including some people) resolutely do not contribute. This is certainly not a good thing for the Conference itself, but because the Jordan is very strong, it does not seem too care. Recently, the IMLS (International Machine Learning Society) re-election director, the person who is eligible to nominate includes the person who has sent articles in Icml\ecml\colt for nearly three years, nips is excluded. At any rate, this is a very good meeting. (Note: Michael Jordan is a professor at the University of Berkeley, boss of Statistical machine learning, bull in Daniel)

ACL (n): The best meeting in computational linguistics/natural Language processing, ACL (Association of Computational Linguistics) is hosted every year.

KR (N): one of the best meetings in knowledge representation and inference is actually one of the best meetings of the traditional AI (i.e., the logic based AI). KR Inc is now an even-year open.

Sigir (N): Best conference on Information Retrieval, ACM hosted, open every year. This will now be a small circle of gas more and more heavy. Information retrieval should not be AI, but because of the use of machine learning more and more, in recent years even a bit of machine learning application of the taste of the meeting, so it also listed.

SIGKDD (N): The best conference on Data Mining, ACM hosted, open every year. The Conference has a relatively short history, after all, data mining is just a little brother or nephew, compared with other fields. It was difficult to put it in the tier-1 a few years ago, on the one hand, the reputation is far less than the other top conference loud, on the other hand is relatively easy to be hired. But now it is listed in the tier-1 should be a matter of no doubt.

UAI (n): The name "uncertainty in artificial intelligence", involving representation, reasoning, learning, and many other aspects, Auai (Association of UAI) hosted every year.

Update

(Reproduced from: https://www.zhihu.com/question/47940549/answer/143487593)

ICLR (International Conference on Learning representations) was launched in 2013 by Daniel Yann LeCun and Yoshua Bengio in the DL field and is one of the most important conferences in the field of deep learning. , although the fifth session, there are many very important articles, such as Vgg Net,attention, experienced this year's review process, ICLR process for the whole open review, all reviewer views can be seen, At the same time everyone can comment and give points.

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Tier-2:

Aamas (International): Joint conference on autonomous Agents and Multiagent

ECCV (): European Conference on Computer Vision

ECML (): European Conference on Machine Learning

ICDM (): IEEE International Conference on Data Mining

SDM: SIAM International Conference on Data Mining

Icaps (2): International Conference on automated Planning and scheduling

ICCBR (2): International Conference on case-based Reasoning

Colling (2): International Conference on Computational Linguistics

Ecai (2): European Conference on Artificial Intelligence

ALT: International conference on Algorithmic Learning theory

EMNLP (Conference): Empirical Methods in Natural Language

ILP (): International Conference on inductive Logic programming

PKDD (): European Conference on Principles and Practice of knowledge Discovery in Databases

*impact factor (according to CiteSeer 03):

eccv:1.58 (top 7.20)

ecml:0.83 (Top 30.63)

icdm:0.35 (Top 59.86)

iccbr:0.72 (Top 36.69)

ecai:0.69 (Top 38.49)

alt:0.63 (Top 42.91)

ilp:1.06 (Top 20.80)

pkdd:0.50 (Top 51.26)

average:0.80 (Top 32.02%)

Aamas: The best conference in agent terms. But now the agent is a general concept, almost all AI related meetings have this content, so the trend of aamas decline is very obvious.

ECCV: Computer vision is second only to ICCV's meeting, because this area is developing rapidly and it is possible to upgrade to 1-go.

ECML: In machine learning, after ICML, Europeans are trying to cheer up, and some think it's already 1. I keep it a bit conservative and still put it in the hydrate. Because of the rapid development of machine learning, the reputation of this meeting is very obvious.

ICDM: Data mining is second only to the SIGKDD conference, and is currently equivalent to SDM. This will only be 5 years old, the speed of the rise is very alarming. A few years ago, ICDM was less than PAKDD, and now it's a long way from being opened.

SDM: Data mining is second only to the SIGKDD conference, and is now comparable to ICDM. The foundation of Siam is very thick, but the influence in CS is smaller than ACM and IEEE, SDM sees to be ICDM more than, but at present still be quite.

Icaps (2): The best meeting for artificial intelligence planning was merged by the previous international and European planning conferences. Because this area gradually becomes deserted, the influence is smaller than before.

ICCBR (2): Best meeting in case-based reasoning. Because the field is not too big, and has been half cold not hot, so always stay in 2.

Colling (2): Computational linguistics/Natural Language processing is second only to ACL, but the gap with ACLs is much greater than that of ICCV-ECCV and ICML-ECML.

Ecai (2): European Artificial Intelligence Conference, a long history, but because of ijcai/aaai pressure, it is difficult to rise.

ALT: A bit like the tier-2 version of Colt, but because of the calculation of learning theory of the number of people do a good job to count the number of group, basically to colt go, so there are many alt there is not the content of computational learning theory.

EMNLP (ii): a good meeting in computational linguistics/natural Language processing. Some people think it's quite the same as colling, but I think it's a little bit weaker.

ILP: The best meeting in inductive logic program design. But because many other meetings have ILP content, it can only save 2 of the position.

PKDD: European Data Mining Conference, currently 4th in the Data Mining conference. The Europeans wanted to lift it up, so they had been bundled with ECML all these years, hoping to borrow ECML to bring it up. But because of ICDM and SDM, this is unlikely. So this year's PKDD and ECML although still open together, but has been independently reviewed (previously can be cast two, the author can declare priority will be considered, if the ECML can also be pkdd accept). ==========================================================

Tier-3:

ACCV (3+): Asian conference on Computer Vision

DS (3+): International Conference on Discovery Science

Ecir (3+): European Conference on IR

Ictai (3+): IEEE International Conference on Tools with Artificial Intelligence

PAKDD (3+): Pacific-asia conference on Knowledge Discovery and Data Mining

ICANN (3+): International conference on Artificial Neural Networks