Collaborating Authors

#NeurIPS2021 in tweets โ€“ highlights from the first week


The first week of the 35th conference on Neural Information Processing Systems (NeurIPS2021) saw eight fascinating invited talks, tutorials, affinity group workshops, and a new datasets and benchmarks track. There were also poster sessions, oral sessions, competitions, demonstrations, and more. With this compilation of tweets, we look back on the week. "The greatest violence is the product of remoteness from reality" โ€“ a great talk by Mary L. Gray, The Banality of Scale: A Theory on the Limits of Modeling Bias and Fairness Frameworks for Social Justice (and other lessons from the Pandemic) at #NeurIPS2021 'How duolingo uses AI to Asses, Engage and Teach Better' session @NeurIPSConf is . The final #NeurIPS2021 keynote starts soon! Radhika Nagpal will speak about "The Collective Intelligence of Army Ants, and the Robots They Inspire" at 15:00 GMT (10am EST).

NeurIPS Paper Reviews Released, Controversies Resurface


The NeurIPS 2020 paper reviews were sent out last Friday, starting the author response phase. While many researchers are pondering how to draft their rebuttals, others are decrying what they see as problematic or even "terrible" reviews. It's that time of year, and controversies are again swirling around the prestigious machine learning conference's review process. Seeing terrible @NeurIPSConf reviews for the nth time I am convinced that we should ban reviewers from submitting as authors if they can't write a review in good faith. Anandkumar suggested banning reviewers from submitting papers "if they can't write a review in good faith." I don't have access to GPT3 to complete the'Th' you left in the one sentence review, do you mean thunder, or Thursday."

Nathan Kallus on Twitter


Thanks for the incredible 99 submissions to @NeurIPSConf {Causal} {ML} workshop "Do the Right Thing." Notifications will be out any minute. Congrats to the accepted contributions.

Is NeurIPS Getting Too Big?


NeurIPS 2019, the latest incarnation of the Neural Information Processing Systems conference, wrapped up just over a week ago. Multiple great blog posts have already summarized various talks and key trends, so the goal of this piece is more humble: to reflect on the experience of attending the conference, and in particular whether its vast size is harmful to its purpose as a research conference. Thirteen thousand attendees, 1,428 accepted papers, and 57 workshops vast. This is 9 minutes condensed down to 15 seconds, and this is not even close to all the attendees! Is that a Rolling Stones concert?

The top AI and machine learning conferences to attend in 2020


While artificial intelligence may be powering Siri, Google searches, and the advance of self-driving cars, many people still have sci-fi-inspired notions of what AI actually looks like and how it will affect our lives. AI-focused conferences give researchers and business executives a clear view of what is already working and what is coming down the road. To bring AI researchers from academia and industry together to share their work, learn from one another, and inspire new ideas and collaborations, there are a plethora of AI-focused conferences around the world. There's a growing number of AI conferences geared toward business leaders who want to learn how to use artificial intelligence and related machine learning and deep learning to propel their companies beyond their competitors. So, whether you're a post-doc, a professor working on robotics, or a programmer for a major company, there are conferences out there to help you code better, network with other researchers, and show off your latest papers.