Philip Bachman
15 papers
· 2014–2023
· 5 conferences
· across top CS/AI conferences
Achievements
π
Academic Marathon
(9)
π
Interdisciplinary Bridge
π
Renaissance Researcher
(6)
πΊοΈ
Taxonomy Completionist
(12)
π§
Keyword Pioneer
π£
Hot Topic Early Bird
π
Cross-Pollinator
(13)
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Conference Polyglot
(5)
π
Triple Crown
π§¬
Topic Evolution
π
Century Club
(15)
π
Trend Setter
ποΈ
Keyword Collector
(54)
π₯
Unstoppable
(8)
Conferences
NIPS (7)
ICML (5)
ACL (1)
EMNLP (1)
ICLR (1)
Top co-authors
Keywords
representation learning
(5)
generative model
(3)
mutual information
(2)
contrastive learning
(2)
variational inference
(2)
continual learning
(1)
reinforcement learning
(1)
deep reinforcement learning
(1)
hierarchical model
(1)
sentiment analysis
(1)
function approximation
(1)
model robustness
(1)
sequential decision making
(1)
self-supervised learning
(1)
markov decision process
(1)
image generation
(1)
image translation
(1)
image reconstruction
(1)
semi-supervised learning
(1)
active learning
(1)
Papers
Deep Reinforcement and InfoMax Learning
NIPS 2020
Learning Algorithms for Active Learning
ICML 2017
Sample-based approximate regularization
ICML 2014
Learning with Pseudo-Ensembles
NIPS 2014