Building machines that adapt and compute like brains

11 November 2017

Papers citing "Building machines that adapt and compute like brains"

49 / 99 papers shown

Title
Meta-learning in natural and artificial intelligence Jane X. Wang 13 110 0 26 Nov 2020
Mutual Information Based Method for Unsupervised Disentanglement of Video Representation Aditya Sreekar Ujjwal Tiwari A. Namboodiri DRL 13 4 0 17 Nov 2020
Hybrid Backpropagation Parallel Reservoir Networks Matthew Evanusa Snehesh Shrestha M. Girvan Cornelia Fermuller Yiannis Aloimonos AI4TS 27 0 0 27 Oct 2020
Randomized Value Functions via Posterior State-Abstraction Sampling Dilip Arumugam Benjamin Van Roy OffRL 21 7 0 05 Oct 2020
How to Motivate Your Dragon: Teaching Goal-Driven Agents to Speak and Act in Fantasy Worlds Prithviraj Ammanabrolu Jack Urbanek Margaret Li Arthur Szlam Tim Rocktaschel Jason Weston LM&Ro 8 44 0 01 Oct 2020
Understanding Human Intelligence through Human Limitations Thomas L. Griffiths 15 64 0 29 Sep 2020
A Systematic Survey on Deep Generative Models for Graph Generation Xiaojie Guo Liang Zhao MedIm 35 146 0 13 Jul 2020
A causal view of compositional zero-shot recognition Y. Atzmon Felix Kreuk Uri Shalit Gal Chechik OCL BDL CML 47 117 0 25 Jun 2020
Learning to Learn with Feedback and Local Plasticity Jack W Lindsey Ashok Litwin-Kumar CLL 21 30 0 16 Jun 2020
"Notic My Speech" -- Blending Speech Patterns With Multimedia Dhruva Sahrawat Yaman Kumar Singla Shashwat Aggarwal Yifang Yin R. Shah Roger Zimmermann 12 3 0 12 Jun 2020
Interpretable Deep Graph Generation with Node-Edge Co-Disentanglement Xiaojie Guo Liang Zhao Zhao Qin Lingfei Wu Amarda Shehu Yanfang Ye CoGe DRL 30 46 0 09 Jun 2020
Learning programs by learning from failures Andrew Cropper Rolf Morel 21 87 0 05 May 2020
Dynamic Language Binding in Relational Visual Reasoning T. Le Vuong Le Svetha Venkatesh T. Tran NAI 18 19 0 30 Apr 2020
Will we ever have Conscious Machines? P. Krauss Andreas K. Maier 20 29 0 31 Mar 2020
Too many cooks: Bayesian inference for coordinating multi-agent collaboration Rose E. Wang Sarah A. Wu James A. Evans J. Tenenbaum David C. Parkes Max Kleiman-Weiner 28 60 0 26 Mar 2020
Hybrid Classification and Reasoning for Image-based Constraint Solving Maxime Mulamba Jayanta Mandi Rocsildes Canoy Tias Guns 31 11 0 24 Mar 2020
Generating new concepts with hybrid neuro-symbolic models Reuben Feinman Brenden Lake BDL 24 13 0 19 Mar 2020
Meta-learning framework with applications to zero-shot time-series forecasting Boris N. Oreshkin Dmitri Carpov Nicolas Chapados Yoshua Bengio UQCV AI4TS AI4CE 31 104 0 07 Feb 2020
Convolutional Neural Networks as a Model of the Visual System: Past, Present, and Future Grace W. Lindsay MedIm 24 423 0 20 Jan 2020
Interactive AI with a Theory of Mind M. Çelikok Tomi Peltola Pedram Daee Samuel Kaski 15 19 0 01 Dec 2019
Compositional Generalization in Image Captioning Mitja Nikolaus Mostafa Abdou Matthew Lamm Rahul Aralikatte Desmond Elliott CoGe 19 49 0 10 Sep 2019
Playing magic tricks to deep neural networks untangles human deception Regina Zaghi-Lara Miguel A. Gea J. Camí Luis M. Martínez A. Gomez-Marin 11 6 0 20 Aug 2019
Learning to design from humans: Imitating human designers through deep learning Ayush Raina Christopher McComb Jonathan Cagan 3DV AI4CE 13 65 0 26 Jul 2019
Less (Data) Is More: Why Small Data Holds the Key to the Future of Artificial Intelligence C. Greco A. Polonioli Jacopo Tagliabue 17 4 0 22 Jul 2019
Invariant Risk Minimization Martín Arjovsky Léon Bottou Ishaan Gulrajani David Lopez-Paz OOD 22 2,152 0 05 Jul 2019
Composing Task-Agnostic Policies with Deep Reinforcement Learning A. H. Qureshi Jacob J. Johnson Yuzhe Qin Taylor Henderson Byron Boots Michael C. Yip OffRL 9 30 0 25 May 2019
Benchmark and Survey of Automated Machine Learning Frameworks Marc Zoller Marco F. Huber 23 86 0 26 Apr 2019
Compositional generalization in a deep seq2seq model by separating syntax and semantics Jacob Russin Jason Jo R. C. O'Reilly Yoshua Bengio 25 102 0 22 Apr 2019
A cooperative game for automated learning of elasto-plasticity knowledge graphs and models with AI-guided experimentation Kun Wang WaiChing Sun Q. Du AI4CE 21 56 0 08 Mar 2019
From explanation to synthesis: Compositional program induction for learning from demonstration Michael G. Burke Svetlin Penkov S. Ramamoorthy 12 20 0 27 Feb 2019
Beyond the Self: Using Grounded Affordances to Interpret and Describe Others' Actions Giovanni Saponaro L. Jamone Alexandre Bernardino G. Salvi LM&Ro 11 7 0 26 Feb 2019
Auto-Encoding Scene Graphs for Image Captioning Xu Yang Kaihua Tang Hanwang Zhang Jianfei Cai 16 692 0 06 Dec 2018
A Survey and Critique of Multiagent Deep Reinforcement Learning Pablo Hernandez-Leal Bilal Kartal Matthew E. Taylor OffRL 25 549 0 12 Oct 2018
Learning Factorized Multimodal Representations Yao-Hung Hubert Tsai Paul Pu Liang Amir Zadeh Louis-Philippe Morency Ruslan Salakhutdinov DRL 47 402 0 16 Jun 2018
Relational Deep Reinforcement Learning V. Zambaldi David Raposo Adam Santoro V. Bapst Yujia Li ... Victoria Langston Razvan Pascanu M. Botvinick Oriol Vinyals Peter W. Battaglia OffRL 8 218 0 05 Jun 2018
Probing Physics Knowledge Using Tools from Developmental Psychology Luis S. Piloto Ari Weinstein TB Dhruva Arun Ahuja M. Berk Mirza Greg Wayne David Amos Chia-Chun Hung M. Botvinick 14 34 0 03 Apr 2018
Machine Theory of Mind Neil C. Rabinowitz Frank Perbet H. F. Song Chiyuan Zhang S. M. Ali Eslami M. Botvinick AI4CE 16 466 0 21 Feb 2018
Evolved Policy Gradients Rein Houthooft Richard Y. Chen Phillip Isola Bradly C. Stadie Filip Wolski Jonathan Ho Pieter Abbeel 23 227 0 13 Feb 2018
Psychlab: A Psychology Laboratory for Deep Reinforcement Learning Agents Joel Z. Leibo Cyprien de Masson dÁutume Daniel Zoran David Amos Charlie Beattie ... Simon Green A. Gruslys Shane Legg Demis Hassabis M. Botvinick 14 78 0 24 Jan 2018
Innateness, AlphaZero, and Artificial Intelligence G. Marcus 14 73 0 17 Jan 2018
Deep Reinforcement Learning Boosted by External Knowledge Nicolas Bougie R. Ichise OffRL 25 15 0 12 Dec 2017
Deep Reinforcement Learning: An Overview Yuxi Li OffRL VLM 101 1,502 0 25 Jan 2017
Interaction Networks for Learning about Objects, Relations and Physics Peter W. Battaglia Razvan Pascanu Matthew Lai Danilo Jimenez Rezende Koray Kavukcuoglu AI4CE OCL PINN GNN 278 1,400 0 01 Dec 2016
Learning to Act by Predicting the Future Alexey Dosovitskiy V. Koltun 24 280 0 06 Nov 2016
Active Long Term Memory Networks Tommaso Furlanello Jiaping Zhao Andrew M. Saxe Laurent Itti B. Tjan KELM CLL 21 41 0 07 Jun 2016
Quantifying the probable approximation error of probabilistic inference programs Marco F. Cusumano-Towner Vikash K. Mansinghka 22 7 0 31 May 2016
Hierarchical Deep Reinforcement Learning: Integrating Temporal Abstraction and Intrinsic Motivation Tejas D. Kulkarni Karthik Narasimhan A. Saeedi J. Tenenbaum 11 1,125 0 20 Apr 2016
Pixel Recurrent Neural Networks Aaron van den Oord Nal Kalchbrenner Koray Kavukcuoglu SSeg GAN 230 2,545 0 25 Jan 2016
Memory and information processing in neuromorphic systems Giacomo Indiveri Shih-Chii Liu 169 568 0 10 Jun 2015