Statements (101)
| Predicate | Object |
|---|---|
| gptkbp:instance_of |
gptkb:conference
|
| gptkbp:alumni |
notable researchers
many influential researchers |
| gptkbp:associated_with |
gptkb:KDD
gptkb:Neur_IPS gptkb:AAAI gptkb:IJCAI gptkb:CVPR |
| gptkbp:attendees |
researchers, practitioners, and students
|
| gptkbp:best_paper_award |
awarded annually
|
| gptkbp:collaboration |
with other conferences like Neur IPS and CVPR
|
| gptkbp:collaborations |
with other conferences
promotes interdisciplinary research |
| gptkbp:collaborative_projects |
promoted among attendees
|
| gptkbp:community |
machine learning researchers
|
| gptkbp:community_engagement |
active online community
encouraged through events |
| gptkbp:community_events |
held during the conference
networking dinners and receptions |
| gptkbp:community_outreach |
to promote machine learning education.
to underrepresented groups in ML |
| gptkbp:conference |
in-person and virtual
published by PMLR |
| gptkbp:feedback_mechanism |
for participants
|
| gptkbp:field |
gptkb:machine_learning
|
| gptkbp:first_held |
gptkb:1980
|
| gptkbp:form |
gptkb:International_Conference_on_Machine_Learning
|
| gptkbp:format |
gptkb:PDF
|
| gptkbp:frequency |
annual
|
| gptkbp:full_name |
gptkb:International_Conference_on_Machine_Learning
|
| gptkbp:funding |
opportunities for funding through partnerships
|
| gptkbp:has_diversity_initiatives |
promoted within the community
efforts to increase diversity in attendees |
| gptkbp:historical_significance |
one of the top conferences in AI
|
| gptkbp:historical_site |
various cities worldwide
held in various countries |
| https://www.w3.org/2000/01/rdf-schema#label |
ICML
|
| gptkbp:impact |
high
high impact in the field |
| gptkbp:is_adopted_by |
varies
varies each year |
| gptkbp:is_cited_in |
widely cited
|
| gptkbp:location |
varies
|
| gptkbp:mentor |
for young researchers
offered for early-career researchers |
| gptkbp:network |
available for attendees
for researchers and practitioners |
| gptkbp:notable_publication |
published in proceedings
various influential papers in machine learning |
| gptkbp:notable_speakers |
leading researchers
leading researchers in machine learning |
| gptkbp:offers_workshops_on |
gptkb:machine_learning
transfer learning interpretability held alongside main conference fairness in machine learning latest trends in machine learning various workshops on machine learning topics emerging areas in machine learning |
| gptkbp:organizer |
gptkb:Machine_Learning_Society
gptkb:International_Machine_Learning_Society |
| gptkbp:participated_in |
available in recent years
|
| gptkbp:partnership |
increasing collaboration with tech companies
|
| gptkbp:publication |
proceedings
proceedings published in conference series |
| gptkbp:reviews |
peer-reviewed
experts in the field double-blind |
| gptkbp:scholarships |
available for students
available for underrepresented groups |
| gptkbp:sponsorship |
various tiers
available for companies for companies various tech companies and academic institutions |
| gptkbp:submission_deadline |
varies each year
varies annually |
| gptkbp:topics |
gptkb:neural_networks
deep learning reinforcement learning supervised learning unsupervised learning optimization transfer learning statistical learning theory probabilistic models applications of machine learning optimization methods |
| gptkbp:trends |
focus on real-world applications
highlighted during sessions focus on ethical AI focus on interdisciplinary approaches focus on scalable algorithms |
| gptkbp:tutorials |
offered on various topics
offered at the conference foundational and advanced topics in ML |
| gptkbp:website |
icml.cc
|
| gptkbp:bfsParent |
gptkb:Google_Brain_team
gptkb:Xiaoshu_Li gptkb:Aaron_Courville gptkb:Ruslan_Salakhutdinov |
| gptkbp:bfsLayer |
4
|