暂无分享,去创建一个
Stephen Clark | James L. McClelland | Felix Hill | Andrew Kyle Lampinen | Matthew Botvinick | Adam Santoro | Rosalia Schneider | Andrew Lampinen | Adam Santoro | M. Botvinick | S. Clark | Felix Hill | A. Lampinen | R. Schneider
[1] Marvin Minsky,et al. Perceptrons: An Introduction to Computational Geometry , 1969 .
[2] P. Anderson. More is different. , 1972, Science.
[3] Geoffrey E. Hinton,et al. Learning internal representations by error propagation , 1986 .
[4] J. Fodor,et al. Connectionism and cognitive architecture: A critical analysis , 1988, Cognition.
[5] G. Marcus. Rethinking Eliminative Connectionism , 1998, Cognitive Psychology.
[6] M. Arterberry,et al. The Cradle of Knowledge: Development of Perception in Infancy , 1998 .
[7] David C. Plaut,et al. Systematicity and specialization in semantics , 1999 .
[8] Randall C. O'Reilly,et al. Generalization in Interactive Networks: The Benefits of Inhibitory Competition and Hebbian Learning , 2001, Neural Computation.
[9] Michael L. Anderson. Embodied Cognition: A field guide , 2003, Artif. Intell..
[10] Philipp Slusallek,et al. Introduction to real-time ray tracing , 2005, SIGGRAPH Courses.
[11] G. Harman,et al. The Problem of Induction , 2006 .
[12] Stefan L. Frank,et al. Learn more by training less: systematicity in sentence processing by recurrent networks , 2006, Connect. Sci..
[13] James L. McClelland,et al. Letting structure emerge: connectionist and dynamical systems approaches to cognition , 2010, Trends in Cognitive Sciences.
[14] Linda B. Smith,et al. Statistical word learning at scale: the baby's view is better. , 2013, Developmental science.
[15] Joshua B. Tenenbaum,et al. Human-level concept learning through probabilistic program induction , 2015, Science.
[16] Dan Klein,et al. Neural Module Networks , 2015, 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[17] Stephen Clark,et al. Understanding Grounded Language Learning Agents , 2017, ArXiv.
[18] Dan Klein,et al. Modular Multitask Reinforcement Learning with Policy Sketches , 2016, ICML.
[19] James M. Rehg,et al. Real-world visual statistics and infants' first-learned object names , 2017, Philosophical Transactions of the Royal Society B: Biological Sciences.
[20] Razvan Pascanu,et al. Relational inductive biases, deep learning, and graph networks , 2018, ArXiv.
[21] Shane Legg,et al. IMPALA: Scalable Distributed Deep-RL with Importance Weighted Actor-Learner Architectures , 2018, ICML.
[22] Marco Baroni,et al. Generalization without Systematicity: On the Compositional Skills of Sequence-to-Sequence Recurrent Networks , 2017, ICML.
[23] Ruslan Salakhutdinov,et al. Gated-Attention Architectures for Task-Oriented Language Grounding , 2017, AAAI.
[24] Yi Zhang,et al. Stronger generalization bounds for deep nets via a compression approach , 2018, ICML.
[25] Murray Shanahan,et al. SCAN: Learning Hierarchical Compositional Visual Concepts , 2017, ICLR.
[26] Ruosong Wang,et al. Fine-Grained Analysis of Optimization and Generalization for Overparameterized Two-Layer Neural Networks , 2019, ICML.
[27] Brenden M. Lake,et al. Compositional generalization through meta sequence-to-sequence learning , 2019, NeurIPS.
[28] Yuanzhi Li,et al. Learning and Generalization in Overparameterized Neural Networks, Going Beyond Two Layers , 2018, NeurIPS.
[29] Aaron C. Courville,et al. Systematic Generalization: What Is Required and Can It Be Learned? , 2018, ICLR.
[30] Marco Baroni,et al. Human few-shot learning of compositional instructions , 2019, CogSci.
[31] Surya Ganguli,et al. An analytic theory of generalization dynamics and transfer learning in deep linear networks , 2018, ICLR.
[32] Jane X. Wang,et al. Reinforcement Learning, Fast and Slow , 2019, Trends in Cognitive Sciences.
[33] Chuang Gan,et al. The Neuro-Symbolic Concept Learner: Interpreting Scenes Words and Sentences from Natural Supervision , 2019, ICLR.