Title
Multi-agent Embodied AI: Advances and Future Directions Zhaohan Feng Ruiqi Xue Lei Yuan Yang Yu Ning Ding M. Liu Bingzhao Gao Jian-jun Sun Gang Wang AI4CE 52 0 0 08 May 2025
Generative AI Systems: A Systems-based Perspective on Generative AI Jakub M. Tomczak 43 1 0 25 Jun 2024
OnDev-LCT: On-Device Lightweight Convolutional Transformers towards federated learning Chu Myaet Thwal Minh N. H. Nguyen Ye Lin Tun Seongjin Kim My T. Thai Choong Seon Hong 49 5 0 22 Jan 2024
Advances in Embodied Navigation Using Large Language Models: A Survey Jinzhou Lin Han Gao Xuxiang Feng Rongtao Xu Changwei Wang Man Zhang Li Guo Shibiao Xu LM&Ro LLMAG 58 9 0 01 Nov 2023
Neural Relational Inference with Fast Modular Meta-learning Ferran Alet Erica Weng Tomás Lozano Pérez L. Kaelbling 45 55 0 10 Oct 2023
Learning Type-Generalized Actions for Symbolic Planning Daniel Tanneberg Michael Gienger 17 4 0 09 Aug 2023
Actor-Critic Model Predictive Control Angel Romero Yunlong Song Davide Scaramuzza 33 35 0 16 Jun 2023
Enactive Artificial Intelligence: Subverting Gender Norms in Robot-Human Interaction Inês Hipólito Katie Winkle Merete Lie 11 4 0 17 Jan 2023
Surprisingly Robust In-Hand Manipulation: An Empirical Study Aditya Bhatt Adrian Sieler Steffen Puhlmann Oliver Brock 105 68 0 27 Jan 2022
Social Neuro AI: Social Interaction as the "dark matter" of AI Samuele Bolotta G. Dumas 9 22 0 31 Dec 2021
Coordination Among Neural Modules Through a Shared Global Workspace Anirudh Goyal Aniket Didolkar Alex Lamb Kartikeya Badola Nan Rosemary Ke Nasim Rahaman Jonathan Binas Charles Blundell Michael C. Mozer Yoshua Bengio 154 98 0 01 Mar 2021
DEUP: Direct Epistemic Uncertainty Prediction Salem Lahlou Moksh Jain Hadi Nekoei V. Butoi Paul Bertin Jarrid Rector-Brooks Maksym Korablyov Yoshua Bengio PER UQLM UQCV UD 195 81 0 16 Feb 2021
Neural Bridge Sampling for Evaluating Safety-Critical Autonomous Systems Aman Sinha Matthew O'Kelly Russ Tedrake John C. Duchi 33 46 0 24 Aug 2020
Offline Reinforcement Learning: Tutorial, Review, and Perspectives on Open Problems Sergey Levine Aviral Kumar George Tucker Justin Fu OffRL GP 329 1,944 0 04 May 2020
Building machines that adapt and compute like brains Brenden Lake J. Tenenbaum AI4CE FedML NAI AILaw 243 893 0 11 Nov 2017
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks Chelsea Finn Pieter Abbeel Sergey Levine OOD 243 11,659 0 09 Mar 2017
Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning Y. Gal Zoubin Ghahramani UQCV BDL 247 9,109 0 06 Jun 2015