News
[Jan/2023] The talks of our NeurIPS 2022 workshop are now online. Watch them here!
[Nov/2022] We have launched the ICBINB Repository of Unexpected Negative Results. Feedback and suggestions are welcomed.
What is ICBINB?
The ICBINB initiative is a movement within the ML community for well-executed meaningful research beyond bold numbers. The goals of the initiative are to crack open the research process, to re-value unexpected negative results, question well-established default practices, and advance the understanding, elegance, and diversity of the field as opposed to focusing solely on the outcome and just rewarding approaches that beat previous works on a given benchmark.
Objectives
The three pillars of such an initiative include:
- Shed light on the research process: sharing stories about how research is really done behind the curtains, encouraging transparency and reproducibility.
- Provide a platform for high-quality but under-valued ML research: showcase, disseminate, and support valuable work that is currently under-represented given publication incentives. This includes negative results/failed attempts, simple approaches that work well in practice, and applied work.
- Develop an inclusive and welcoming community of researchers and practitioners that share the same values to support and help each other to conduct deep high-impact research. Encourage meta-dialog on how we should be conducting top-tier ML research.
Who we are
Here our wonderful team of volunteers! None of this would be possible without their help.
Vincent Fortuin
Team Member
University of Cambridge
Manuel Haussmann
Team Member
Aalto University
Sahra Ghalebikesabi
Team Member
University of Oxford
Nicola Branchini
Team Member
University of Edinburgh
David Rohde
Team Member
Criteo AI Lab
Luca Zappella
Team Member
Apple
Wenbin Zhang
Team Member
Carnegie Mellon University
Finale Doshi-Velez
Advisor
Harvard University
Fan Feng
Team Member
City University of Hong Kong
Arno Blaas
Team Member
Apple
Sonali Parbhoo
Team Member
Imperial College London
David Blei
Advisor
Columbia University
Javier Altoran
Team Member
Cambridge University
Hanna Wallach
Former Advisor
Microsoft Research
Isabel Valera
Former Advisor
Saarland University
Yubin Xie
Team Member
Cornell University / MSKCC
Ian Mason
Team Member
Dpt of Brain & Cognitive Sciences, MIT
Robert Williamson
Advisor
Tübingen University
Tamara Broderick
Advisor
MIT
Max Welling
Advisor
Amsterdam University & MSR
Aaron Schein
Team Member
Columbia University
Melanie F. Pradier
Team Member
Microsoft Research
Francisco J.R. Ruiz
Team Member
DeepMind
Jessica Forde
Team Member
Brown University
Stephanie Hyland
Team Member
MSR
What we believe
- Process over outcome
- Deep understanding of experimental results
- Intellectual and methodological transparency
- Depth over breadth
- Collaboration and peer support
Ongoing and future events
Past events