The Consciousness Prior

25 September 2017

Papers citing "The Consciousness Prior"

45 / 45 papers shown

Title
A Theoretical Analysis of Compositional Generalization in Neural Networks: A Necessary and Sufficient Condition Yuanpeng Li CoGe 191 0 0 05 May 2025
Bridging Social Psychology and LLM Reasoning: Conflict-Aware Meta-Review Generation via Cognitive Alignment Wei Chen Han Ding Meng Yuan Zhao Zhang Deqing Wang Fuzhen Zhuang 200 0 0 18 Mar 2025
System 0/1/2/3: Quad-process theory for multi-timescale embodied collective cognitive systems Tadahiro Taniguchi Yasushi Hirai Masahiro Suzuki Shingo Murata Takato Horii Kazutoshi Tanaka AI4CE 64 0 0 08 Mar 2025
Principles for Responsible AI Consciousness Research Patrick Butlin Theodoros Lappas 45 1 0 13 Jan 2025
A Complexity-Based Theory of Compositionality Eric Elmoznino Thomas Jiralerspong Yoshua Bengio Guillaume Lajoie CoGe 64 4 0 18 Oct 2024
Distilling System 2 into System 1 Ping Yu Jing Xu Jason Weston Ilia Kulikov OffRL LRM 52 62 0 08 Jul 2024
MARS: Benchmarking the Metaphysical Reasoning Abilities of Language Models with a Multi-task Evaluation Dataset Weiqi Wang Yangqiu Song LRM 35 8 0 04 Jun 2024
Towards Equipping Transformer with the Ability of Systematic Compositionality Chen Huang Peixin Qin Wenqiang Lei Jiancheng Lv 27 1 0 12 Dec 2023
Neither hype nor gloom do DNNs justice Gaurav Malhotra Christian Tsvetkov B. D. Evans 32 117 0 08 Dec 2023
(Ir)rationality in AI: State of the Art, Research Challenges and Open Questions Olivia Macmillan-Scott Mirco Musolesi 42 1 0 28 Nov 2023
Neuro-Symbolic Execution of Generic Source Code Yaojie Hu Jin Tian NAI 30 0 0 23 Mar 2023
ViperGPT: Visual Inference via Python Execution for Reasoning Dídac Surís Sachit Menon Carl Vondrick MLLM LRM ReLM 45 435 0 14 Mar 2023
Task-Aware Information Routing from Common Representation Space in Lifelong Learning Prashant Shivaram Bhat Bahram Zonooz Elahe Arani CLL 18 25 0 14 Feb 2023
Meta Learning in Decentralized Neural Networks: Towards More General AI Yuwei Sun OOD 27 1 0 02 Feb 2023
A Short Survey of Systematic Generalization Yuanpeng Li AI4CE 43 1 0 22 Nov 2022
Metaphors We Learn By Roland Memisevic 32 0 0 11 Nov 2022
On a Built-in Conflict between Deep Learning and Systematic Generalization Yuanpeng Li OOD 45 0 0 24 Aug 2022
Language models show human-like content effects on reasoning tasks Ishita Dasgupta Andrew Kyle Lampinen Stephanie C. Y. Chan Hannah R. Sheahan Antonia Creswell D. Kumaran James L. McClelland Felix Hill ReLM LRM 30 181 0 14 Jul 2022
Brainish: Formalizing A Multimodal Language for Intelligence and Consciousness Paul Pu Liang 30 4 0 14 Apr 2022
Combining Modular Skills in Multitask Learning Edoardo Ponti Alessandro Sordoni Yoshua Bengio Siva Reddy MoE 12 37 0 28 Feb 2022
Social Neuro AI: Social Interaction as the "dark matter" of AI Samuele Bolotta G. Dumas 21 22 0 31 Dec 2021
Action-Sufficient State Representation Learning for Control with Structural Constraints Erdun Gao Chaochao Lu Liu Leqi José Miguel Hernández-Lobato Clark Glymour Bernhard Schölkopf Kun Zhang 54 32 0 12 Oct 2021
Thinking Fast and Slow in AI: the Role of Metacognition M. B. Ganapini Murray Campbell F. Fabiano L. Horesh J. Lenchner Andrea Loreggia N. Mattei F. Rossi Biplav Srivastava K. Venable LLMAG AI4CE 41 17 0 05 Oct 2021
From internal models toward metacognitive AI Mitsuo Kawato A. Cortese LRM 4 17 0 27 Sep 2021
Is Attention Better Than Matrix Decomposition? Zhengyang Geng Meng-Hao Guo Hongxu Chen Xia Li Ke Wei Zhouchen Lin 62 137 0 09 Sep 2021
A visual introduction to Gaussian Belief Propagation Joseph Ortiz Talfan Evans Andrew J. Davison 15 32 0 05 Jul 2021
D'ya like DAGs? A Survey on Structure Learning and Causal Discovery M. Vowels Necati Cihan Camgöz Richard Bowden CML 39 297 0 03 Mar 2021
Neural Production Systems: Learning Rule-Governed Visual Dynamics Anirudh Goyal Aniket Didolkar Nan Rosemary Ke Charles Blundell Philippe Beaudoin N. Heess Michael C. Mozer Yoshua Bengio OCL 50 82 0 02 Mar 2021
Deep Learning and the Global Workspace Theory R. V. Rullen Ryota Kanai 45 66 0 04 Dec 2020
Underspecification Presents Challenges for Credibility in Modern Machine Learning Alexander DÁmour Katherine A. Heller D. Moldovan Ben Adlam B. Alipanahi ... Kellie Webster Steve Yadlowsky T. Yun Xiaohua Zhai D. Sculley OffRL 77 671 0 06 Nov 2020
Latent Causal Invariant Model Xinwei Sun Botong Wu Xiangyu Zheng Chang-Shu Liu Wei Chen Tao Qin Tie-Yan Liu OOD CML BDL 29 14 0 04 Nov 2020
Thinking Fast and Slow in AI G. Booch F. Fabiano L. Horesh Kiran Kate J. Lenchner ... Andrea Loreggia K. Murugesan Nicholas Mattei F. Rossi Biplav Srivastava 21 94 0 12 Oct 2020
Deep Anomaly Detection by Residual Adaptation Lucas Deecke Lukas Ruff Robert A. Vandermeulen Hakan Bilen UQCV 28 4 0 05 Oct 2020
Neural Enhanced Belief Propagation on Factor Graphs Victor Garcia Satorras Max Welling 30 95 0 04 Mar 2020
Weakly-Supervised Disentanglement Without Compromises Francesco Locatello Ben Poole Gunnar Rätsch Bernhard Schölkopf Olivier Bachem Michael Tschannen CoGe OOD DRL 184 313 0 07 Feb 2020
A Machine Consciousness architecture based on Deep Learning and Gaussian Processes E.C. Garrido-Merchán M. Molina AI4CE 19 11 0 02 Feb 2020
An Explicit Local and Global Representation Disentanglement Framework with Applications in Deep Clustering and Unsupervised Object Detection Rujikorn Charakorn Y. Thawornwattana Sirawaj Itthipuripat Nick Pawlowski P. Manoonpong Nat Dilokthanakul DRL OCL 29 13 0 24 Jan 2020
Neural Consciousness Flow Xiaoran Xu Wei Feng Zhiqing Sun Zhihong Deng GNN AI4CE 27 2 0 30 May 2019
A Meta-Transfer Objective for Learning to Disentangle Causal Mechanisms Yoshua Bengio T. Deleu Nasim Rahaman Nan Rosemary Ke Sébastien Lachapelle O. Bilaniuk Anirudh Goyal C. Pal CML OOD 46 332 0 30 Jan 2019
Improving Generalization for Abstract Reasoning Tasks Using Disentangled Feature Representations Xander Steenbrugge Sam Leroux Tim Verbelen Bart Dhoedt OOD DRL 14 68 0 12 Nov 2018
Combined Reinforcement Learning via Abstract Representations Vincent François-Lavet Yoshua Bengio Doina Precup Joelle Pineau OffRL 30 89 0 12 Sep 2018
Troubling Trends in Machine Learning Scholarship Zachary Chase Lipton Jacob Steinhardt 29 288 0 09 Jul 2018
Disentangling Controllable and Uncontrollable Factors of Variation by Interacting with the World Yoshihide Sawada DRL 21 10 0 19 Apr 2018
Learning Awareness Models Brandon Amos Laurent Dinh Serkan Cabi Thomas Rothörl Sergio Gomez Colmenarejo Alistair Muldal Tom Erez Yuval Tassa Nando de Freitas Misha Denil 26 44 0 17 Apr 2018
Measuring the tendency of CNNs to Learn Surface Statistical Regularities Jason Jo Yoshua Bengio AAML 26 249 0 30 Nov 2017