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This year, we invited 7 application papers, which got a free entry to the program and a slot in the proceedings. Do you think this is a good idea?
#Response DateOther comments?
1Jun 10, 2010 10:53 PMThere should be instructions to reviewers to treat the "application" papers (specially to new applications) specially, and accept them even if they do not have innovations in the learning algorithms.
2Jun 10, 2010 11:17 PMI'm unsure that free entrance should go to any one group---maybe every group would want some freebies? But, on the other hand, a connection with applications is important.
3Jun 11, 2010 4:48 AMI did not know ICML2010 invited 7 application papers without review.. This is clearly a poorly advised idea. Why the special treatment?
4Jun 11, 2010 1:34 PMInviting papers is a very biased form of selection that is a based on who you know not the quality of work. Better to have a separate track with a more traditional unbiased review selection
5Jun 11, 2010 1:39 PMno idea.
6Jun 11, 2010 3:43 PMCVPR is also considering doing this. I believe these should be treated as "invited talks", at the discretion of the conference chair. If you can't find applications that are sufficiently compelling to be invited talks, they do not merit special consideration.
7Jun 12, 2010 12:08 PMI do not see value in this.
8Jun 14, 2010 12:34 PMI would like to see more evaluation events and workshops.
9Jun 15, 2010 7:41 AMI think this is an excellent idea for now. However, in the long term we need to work on suitable criteria that allow applications papers to compete with the other papers on fair grounds. I still have the impression that applications papers have an unfair disadvantage and are underappreciated. The eventual goal of machine learning is to build useful learning machines. Applications papers are the ones that describe systems with that very goal. Often these papers are the results of major projects that go far beyond the effort put into the average ICML Algorithms paper. Applications papers are also testament to the success of ML in practice and the community should take pride in presenting and promoting these applications as joint successes of the field.