Last but not least: be prepared to lie a lot, but wear a well-pressed suit and smile while doing it.Pretend that you are offering them a piece of the pie but once you’re in the privacy of your office, toss their business cards in the garbage and spam filter their emails. Avoid the traps of introducing small fish into your pool.The management of a charity organization will lead to socializing with important people that have money to invest in your real domaining venture. “Domainers with no limbs due to the Chernobyl accident”. Form a charity organization – this way you can have a constant flow of people with money for an apparent cause e.g.Invest as little money of your own as possible but always hint that your current project has already utilized six figures and once deployed it will rock the domaining world.You will be remembered as “the domainer guy” next to the blonde and the brunette at the industry show. Hire beautiful women to be photographed with you in every opportunity for a public appearance.Be prepared to introduce yourself “by chance” using the phrase, “Filet mignon is so tender here, but domains – that’s what I like to sink my teeth into.” Find out the favorite restaurant of huge industry celebrities such as Bob Parsons or Ammar Kubba.Hire PR writers in other countries and languages to further solidify your market reach. Issue press releases announcing the importance of your niche (e.g. These Guidelines provide instruction on how Harvards trademarks (names and insignias) are to be used in domain names, websites, social media sites and.If needed, photoshop a picture of your graduation class with your picture next to Ron’s. Keep mentioning that you attended high school with domaining publication pioneer, Ron Jackson.They will connect you to the hidden forces behind each corporation in no time. By “important” we mean key players, such as senior account executives at parking companies. It doesn’t matter what you say, if you open your mouth as the new ccTLD IDN king, it’ll be gospel to everyone. Surround yourself with people that speak positive of you.ccTLD IDN domains where it can be easy to excel in without much effort. We’ve put together a quick guide that could serve as a reference of achieving uber-domainer status, as long as you put in a decent amount of effort and possess the social skills for it. Some of these super-active domainers, tend to renounce the title of uber-domainer and prefer something more apt and worldly when you meet them at domainer social gatherings – just don’t call them “buddy” at the drop of a hat. ![]() Kevin Ham – also known as the man who owns the Internet – and as of late, Mike Mann, are propelled into the stratosphere of domainer immortals. Through their success and passion, such uber-domainers as Frank Schilling, Rick Schwartz, Dr. Just smile a lot and wear a suit.Īlthough it can be argued that uber-domainers are not made but are born, this elite class of domain entrepreneurs that well exceed the expectations of average domainers requires a detailed study. Having graduated alongside Ron Jackson, domaining success and achieving uber-domainer status is a cinch. Last but not least, SWAD is readily adaptable to existing DG methods without modification the combination of SWAD and an existing DG method further improves DG performances. ![]() We also compare SWAD with conventional generalization methods, such as data augmentation and consistency regularization methods, to verify that the remarkable performance improvements are originated from by seeking flat minima, not from better in-domain generalizability. SWAD shows state-of-the-art performances on five DG benchmarks, namely PACS, VLCS, OfficeHome, TerraIncognita, and DomainNet, with consistent and large margins of +1.6% averagely on out-of-domain accuracy. SWAD finds flatter minima and suffers less from overfitting than does the vanilla SWA by a dense and overfit-aware stochastic weight sampling strategy. We also propose a simple yet effective method, named Stochastic Weight Averaging Densely (SWAD), to find flat minima. In this paper, we theoretically show that finding flat minima results in a smaller domain generalization gap. Unfortunately, simply solving ERM on a complex, non-convex loss function can easily lead to sub-optimal generalizability by seeking sharp minima. Although a variety of DG methods have been proposed, a recent study shows that under a fair evaluation protocol, called DomainBed, the simple empirical risk minimization (ERM) approach works comparable to or even outperforms previous methods. Junbum Cha, Sanghyuk Chun, Kyungjae Lee, Han-Cheol Cho, Seunghyun Park, Yunsung Lee, Sungrae Park Abstractĭomain generalization (DG) methods aim to achieve generalizability to an unseen target domain by using only training data from the source domains. Bibtex Paper Reviews And Public Comment » Supplemental
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