Inductive biases for deep learning of higher-level cognition
A fascinating hypothesis is that human and animal intelligence could be explained by a few
principles (rather than an encyclopaedic list of heuristics). If that hypothesis was correct, we …
principles (rather than an encyclopaedic list of heuristics). If that hypothesis was correct, we …
Next-generation deep learning based on simulators and synthetic data
Deep learning (DL) is being successfully applied across multiple domains, yet these models
learn in a most artificial way: they require large quantities of labeled data to grasp even …
learn in a most artificial way: they require large quantities of labeled data to grasp even …
Toward causal representation learning
The two fields of machine learning and graphical causality arose and are developed
separately. However, there is, now, cross-pollination and increasing interest in both fields to …
separately. However, there is, now, cross-pollination and increasing interest in both fields to …
[图书][B] What babies know: Core Knowledge and Composition volume 1
E Spelke - 2022 - books.google.com
What do infants know? How does the knowledge that they begin with prepare them for
learning about the particular physical, cultural, and social world in which they live? Answers …
learning about the particular physical, cultural, and social world in which they live? Answers …
Threedworld: A platform for interactive multi-modal physical simulation
We introduce ThreeDWorld (TDW), a platform for interactive multi-modal physical simulation.
TDW enables simulation of high-fidelity sensory data and physical interactions between …
TDW enables simulation of high-fidelity sensory data and physical interactions between …
Clevrer: Collision events for video representation and reasoning
The ability to reason about temporal and causal events from videos lies at the core of human
intelligence. Most video reasoning benchmarks, however, focus on pattern recognition from …
intelligence. Most video reasoning benchmarks, however, focus on pattern recognition from …
Solver-in-the-loop: Learning from differentiable physics to interact with iterative pde-solvers
Finding accurate solutions to partial differential equations (PDEs) is a crucial task in all
scientific and engineering disciplines. It has recently been shown that machine learning …
scientific and engineering disciplines. It has recently been shown that machine learning …
Resource-rational analysis: Understanding human cognition as the optimal use of limited computational resources
F Lieder, TL Griffiths - Behavioral and brain sciences, 2020 - cambridge.org
Modeling human cognition is challenging because there are infinitely many mechanisms
that can generate any given observation. Some researchers address this by constraining the …
that can generate any given observation. Some researchers address this by constraining the …
[HTML][HTML] Neuroscience-inspired artificial intelligence
The fields of neuroscience and artificial intelligence (AI) have a long and intertwined history.
In more recent times, however, communication and collaboration between the two fields has …
In more recent times, however, communication and collaboration between the two fields has …
Graph networks as learnable physics engines for inference and control
A Sanchez-Gonzalez, N Heess… - International …, 2018 - proceedings.mlr.press
Understanding and interacting with everyday physical scenes requires rich knowledge
about the structure of the world, represented either implicitly in a value or policy function, or …
about the structure of the world, represented either implicitly in a value or policy function, or …