Timezone: »
NewInML
New In ML
Zhen Xu · Mélisande Teng · Jie Fu · Romain Egele · Daochen Zha · Minhao Fan · Eulalie Boucher · Alexandra Volokhova · Isabelle Guyon
Mon Nov 28 07:00 AM -- 03:30 PM (PST) @ Room 295
Event URL: https://nehzux.github.io/NewInML2022NeurIPS/ »
Register here: https://docs.google.com/forms/d/e/1FAIpQLSeks9H0w5CFjvmCB_DRHVQ-Jm-0JPP7nFnlKyrAY0I4MWotwA/viewform
With the booming research in artificial intelligence, the community is welcoming every day many newcomers. A lack of mentoring and inclusive environment becomes gradually significant. Our goal is to welcome new researchers in the community and provide them with some guidance to contribute to Machine Learning research fully and effectively.
s. Whether you are a new researcher in the ML community, a first-time attendee at NeurIPS or a more seasoned researcher/professional who you would like to share your experience and act as a mentor for this even, or simply curious, please join us!
Mon 7:00 a.m. - 8:30 a.m.
|
Keynote talk: A Deep Learning Journey
(Talk)
SlidesLive Video » |
Yoshua Bengio 🔗 |
Mon 8:30 a.m. - 10:00 a.m.
|
Ethics in Machine Learning
(Talk)
SlidesLive Video » |
Romain Egele 🔗 |
Mon 11:00 a.m. - 12:30 p.m.
|
Invited Talk
(Talk)
SlidesLive Video » |
Rex Ying 🔗 |
Mon 12:30 p.m. - 2:00 p.m.
|
Writing session
(Talk)
SlidesLive Video » |
Reka Mihalka 🔗 |
Mon 2:00 p.m. - 3:30 p.m.
|
ML job negociation talk
(Talk)
SlidesLive Video » |
Nicole Bannon 🔗 |
Author Information
Zhen Xu (4Paradigm)
Mélisande Teng (Mila / UdeM)
Jie Fu (Mila, University of Montreal)
Romain Egele (Argonne National Laboratory & Université Paris-Saclay)
Daochen Zha (Rice University)
Minhao Fan (Rice University)
Eulalie Boucher (LERMA, Observatoire de Paris)
Alexandra Volokhova (Mila- Quebec AI Institute)
Isabelle Guyon (Google and ChaLearn)
More from the Same Authors
-
2021 : OmniPrint: A Configurable Printed Character Synthesizer »
Haozhe Sun · Wei-Wei Tu · Isabelle Guyon -
2022 : Fifteen-minute Competition Overview Video »
Dustin Carrión-Ojeda · Ihsan Ullah · Sergio Escalera · Isabelle Guyon · Felix Mohr · Manh Hung Nguyen · Joaquin Vanschoren -
2022 Competition: Cross-Domain MetaDL: Any-Way Any-Shot Learning Competition with Novel Datasets from Practical Domains »
Dustin Carrión-Ojeda · Ihsan Ullah · Sergio Escalera · Isabelle Guyon · Felix Mohr · Manh Hung Nguyen · Joaquin Vanschoren -
2022 Poster: Meta-Album: Multi-domain Meta-Dataset for Few-Shot Image Classification »
Ihsan Ullah · Dustin Carrión-Ojeda · Sergio Escalera · Isabelle Guyon · Mike Huisman · Felix Mohr · Jan N. van Rijn · Haozhe Sun · Joaquin Vanschoren · Phan Anh Vu -
2022 : Isabelle Guyon »
Isabelle Guyon -
2022 Invited Talk: The Data-Centric Era: How ML is Becoming an Experimental Science »
Isabelle Guyon -
2022 Poster: DreamShard: Generalizable Embedding Table Placement for Recommender Systems »
Daochen Zha · Louis Feng · Qiaoyu Tan · Zirui Liu · Kwei-Herng Lai · Bhargav Bhushanam · Yuandong Tian · Arun Kejariwal · Xia Hu -
2022 : NeurIPS Competitions – Evolution and Opportunities »
Isabelle Guyon · Evelyne Viegas -
2022 : Ethics in Machine Learning »
Romain Egele -
2021 Panel: The Role of Benchmarks in the Scientific Progress of Machine Learning »
Lora Aroyo · Samuel Bowman · Isabelle Guyon · Joaquin Vanschoren -
2021 : MetaDL: Few Shot Learning Competition with Novel Datasets from Practical Domains + Q&A »
Adrian El Baz · Isabelle Guyon · Zhengying Liu · Jan N. Van Rijn · Haozhe Sun · Sébastien Treguer · Wei-Wei Tu · Ihsan Ullah · Joaquin Vanschoren · Phan Ahn Vu -
2021 : Learning By Doing: Controlling a Dynamical System using Control Theory, Reinforcement Learning, or Causality + Q&A »
Sebastian Weichwald · Niklas Pfister · Dominik Baumann · Isabelle Guyon · Oliver Kroemer · Tabitha Lee · Søren Wengel Mogensen · Jonas Peters · Sebastian Trimpe -
2020 : Keynote talk by Isabelle Guyon and Evelyne Viegas - "AI Competitions and the Science Behind Contests" »
Isabelle Guyon · Evelyne Viegas -
2020 Poster: Deep Statistical Solvers »
Balthazar Donon · Zhengying Liu · Wenzhuo LIU · Isabelle Guyon · Antoine Marot · Marc Schoenauer -
2019 : Open Space Topic “The Organization of Challenges for the Benefit of More Diverse Communities” »
Adrienne Mendrik · Isabelle Guyon · Wei-Wei Tu · Evelyne Viegas · Ming LI -
2019 Workshop: CiML 2019: Machine Learning Competitions for All »
Adrienne Mendrik · Wei-Wei Tu · Wei-Wei Tu · Isabelle Guyon · Evelyne Viegas · Ming LI -
2019 : Welcome and Opening Remarks »
Adrienne Mendrik · Wei-Wei Tu · Isabelle Guyon · Evelyne Viegas · Ming LI -
2018 : Afternoon Welcome - Isabelle Guyon and Evelyne Viegas »
Isabelle Guyon -
2018 Workshop: CiML 2018 - Machine Learning competitions "in the wild": Playing in the real world or in real time »
Isabelle Guyon · Evelyne Viegas · Sergio Escalera · Jacob D Abernethy -
2018 : Datasets and Benchmarks for Causal Learning »
Csaba Szepesvari · Isabelle Guyon · Nicolai Meinshausen · David Blei · Elias Bareinboim · Bernhard Schölkopf · Pietro Perona -
2018 : AutoML3 - LifeLong ML with concept drift Challenge: Overview and award ceremony »
Hugo Jair Escalante · Isabelle Guyon · Daniel Silver · Evelyne Viegas · Wei-Wei Tu -
2018 : Evaluating Causation Coefficients »
Isabelle Guyon -
2017 Workshop: Machine Learning Challenges as a Research Tool »
Isabelle Guyon · Evelyne Viegas · Sergio Escalera · Jacob D Abernethy -
2017 : Introduction - Isabelle Guyon and Evelyne Viegas »
Isabelle Guyon -
2016 Workshop: Machine Learning for Spatiotemporal Forecasting »
Florin Popescu · Sergio Escalera · Xavier Baró · Stephane Ayache · Isabelle Guyon -
2016 : Gaming challenges and encouraging collaborations »
Sergio Escalera · Isabelle Guyon -
2016 Workshop: Challenges in Machine Learning: Gaming and Education »
Isabelle Guyon · Evelyne Viegas · Balázs Kégl · Ben Hamner · Sergio Escalera -
2016 Demonstration: Biometric applications of CNNs: get a job at "Impending Technologies"! »
Sergio Escalera · Isabelle Guyon · Baiyu Chen · Marc Quintana · Umut Güçlü · Yağmur Güçlütürk · Xavier Baró · Rob van Lier · Carlos Andujar · Marcel A. J. van Gerven · Bernhard E Boser · Luke Wang -
2015 Workshop: Challenges in Machine Learning (CiML 2015): "Open Innovation" and "Coopetitions" »
Isabelle Guyon · Evelyne Viegas · Ben Hamner · Balázs Kégl -
2014 Workshop: High-energy particle physics, machine learning, and the HiggsML data challenge (HEPML) »
Glen Cowan · Balázs Kégl · Kyle Cranmer · Gábor Melis · Tim Salimans · Vladimir Vava Gligorov · Daniel Whiteson · Lester Mackey · Wojciech Kotlowski · Roberto Díaz Morales · Pierre Baldi · Cecile Germain · David Rousseau · Isabelle Guyon · Tianqi Chen -
2014 Workshop: Challenges in Machine Learning workshop (CiML 2014) »
Isabelle Guyon · Evelyne Viegas · Percy Liang · Olga Russakovsky · Rinat Sergeev · Gábor Melis · Michele Sebag · Gustavo Stolovitzky · Jaume Bacardit · Michael S Kim · Ben Hamner -
2013 Workshop: NIPS 2013 Workshop on Causality: Large-scale Experiment Design and Inference of Causal Mechanisms »
Isabelle Guyon · Leon Bottou · Bernhard Schölkopf · Alexander Statnikov · Evelyne Viegas · james m robins -
2012 Demonstration: Gesture recognition with Kinect »
Isabelle Guyon -
2009 Workshop: Clustering: Science or art? Towards principled approaches »
Margareta Ackerman · Shai Ben-David · Avrim Blum · Isabelle Guyon · Ulrike von Luxburg · Robert Williamson · Reza Zadeh -
2009 Mini Symposium: Causality and Time Series Analysis »
Florin Popescu · Isabelle Guyon · Guido Nolte -
2009 Demonstration: Causality Workbench »
Isabelle Guyon -
2008 Workshop: Causality: objectives and assessment »
Isabelle Guyon · Dominik Janzing · Bernhard Schölkopf -
2007 Demonstration: CLOP: a Matlab Learning Object Package »
Amir Reza Saffari Azar Alamdari · Isabelle Guyon · Hugo Jair Escalante · Gökhan H Bakir · Gavin Cawley -
2006 Workshop: Multi-level Inference Workshop and Model Selection Game »
Isabelle Guyon