Information

While this event is focused around ICML research, we welcome all posters that fit the ICML topics of interest. Please register your attendance. In your registration please indicate whether you wish to present a poster. Poster space is limited.

Posters will be on display throughout the day with a scheduled poster session later in the schedule. During this time, we encourage all poster presenters to stand with their poster and engage with attendees.

Topics of interest include (but are not limited to):

• General Machine Learning (active learning, clustering, online learning, ranking, reinforcement learning, supervised, semi- and self-supervised learning, time series analysis, etc.)

• Deep Learning (architectures, generative models, deep reinforcement learning, etc.)

• Learning Theory (bandits, game theory, statistical learning theory, etc.)

• Optimization (convex and non-convex optimization, matrix/tensor methods, stochastic, online, non-smooth, composite, etc.)

• Probabilistic Inference (Bayesian methods, graphical models, Monte Carlo methods, etc.)

• Trustworthy Machine Learning (accountability, causality, fairness, privacy, robustness, etc.)

• Applications (computational biology, crowdsourcing, healthcare, neuroscience, social good, climate science, etc.)

Posters should be printed following the ICML suggested sizes:

Main Conference suggested sizes: 

• 36in (H) x 48in (W)

• 36in (H) x 60in (W) aka 91cm(H) x 152cm (W)

• 36in (H) x 72in (W)

Workshop must be portrait and not exceed:

• 36in (H) x 24in (W) or 91cm (H) x 61cm (W) - Notice: Workshop posters must be in portrait format.

If you have a non-ICML poster then please feel free to choose any size from the above list!