171 citations · 328 across the 11 of their papers we have counts for
4 papers · 1 filter
No Free Delivery Service: Epistemic limits of passive data collection in complex social systems
Maximilian Nickel
Rapid model validation via the train-test paradigm has been a key driver for the breathtaking progress in machine learning and AI. However, modern AI systems often depend on a comb…
CURI: A Benchmark for Productive Concept Learning Under Uncertainty
Ramakrishna Vedantam, Arthur Szlam, Maximilian Nickel +2
Humans can learn and reason under substantial uncertainty in a space of infinitely many concepts, including structured relational concepts ("a scene with objects that have the same…
Learning Continuous Hierarchies in the Lorentz Model of Hyperbolic Geometry
Maximilian Nickel, Douwe Kiela
We are concerned with the discovery of hierarchical relationships from large-scale unstructured similarity scores. For this purpose, we study different models of hyperbolic space a…
Poincaré Embeddings for Learning Hierarchical Representations
Maximilian Nickel, Douwe Kiela
Representation learning has become an invaluable approach for learning from symbolic data such as text and graphs. However, while complex symbolic datasets often exhibit a latent h…