Tags ACL Stanford AI Lab Papers and Talks at ACL 2020 July 6, 2020 AI Salon AI and the Future of Work December 20, 2018 Deep Learning, Structure and Innate Priors December 3, 2018 About About July 6, 2020 Subscribe July 6, 2020 Archive About July 6, 2020 Subscribe July 6, 2020 CVPR Stanford AI Lab Papers and Talks at CVPR 2020 June 15, 2020 Healthcare Towards Vision-Based Smart Hospitals November 19, 2018 ICLR SAIL and Stanford Robotics at ICRA 2020 May 30, 2020 SAIL at ICLR 2020: Accepted Papers and Videos April 27, 2020 Meta Hello World November 18, 2018 PAC Towards Vision-Based Smart Hospitals November 19, 2018 Vision Towards Vision-Based Smart Hospitals November 19, 2018 ai Answering Complex Open-domain Questions at Scale October 21, 2019 What makes a good conversation? August 18, 2019 Towards an Educational Revolution Through Chatbots July 12, 2019 assistance Controlling Assistive Robots with Learned Latent Actions November 11, 2019 autonomous driving Back to the Future: Planning-Aware Trajectory Forecasting for Autonomous Driving June 25, 2020 autonomy Batch-Active Preference-Based Learning of Reward Functions December 10, 2018 Altruistic Autonomy: Beating Congestion on Shared Roads November 26, 2018 bert BERT, ELMo, & GPT-2: How Contextual are Contextualized Word Representations? March 24, 2020 causal inference Text Feature Selection for Causal Inference December 5, 2019 chatbots What makes a good conversation? August 18, 2019 Towards an Educational Revolution Through Chatbots July 12, 2019 cognitive modeling When Humans Aren’t Optimal: Robots that Collaborate with Risk-Aware Humans March 17, 2020 communication Learning from My Partner’s Actions: Roles in Decentralized Robot Teams October 28, 2019 compressed sensing Uncertainty Autoencoders: Learning Compressed Representations via Variational Information Maximization April 17, 2019 computational geometry A Topology Layer for Machine Learning August 23, 2019 computational topology A Topology Layer for Machine Learning August 23, 2019 conference Stanford AI Lab Papers and Talks at ACL 2020 July 6, 2020 Stanford AI Lab Papers and Talks at CVPR 2020 June 15, 2020 SAIL and Stanford Robotics at ICRA 2020 May 30, 2020 SAIL at ICLR 2020: Accepted Papers and Videos April 27, 2020 control Learning from My Partner’s Actions: Roles in Decentralized Robot Teams October 28, 2019 Altruistic Autonomy: Beating Congestion on Shared Roads November 26, 2018 deep learning Controllable Fairness in Machine Learning May 27, 2019 Uncertainty Autoencoders: Learning Compressed Representations via Variational Information Maximization April 17, 2019 demonstration Batch-Active Preference-Based Learning of Reward Functions December 10, 2018 demonstrations Influencing Leading and Following in Human-Robot Teams June 24, 2019 Learning Reward Functions by Integrating Human Demonstrations and Preferences June 22, 2019 economy AI and the Future of Work December 20, 2018 education Towards an Educational Revolution Through Chatbots July 12, 2019 elmo BERT, ELMo, & GPT-2: How Contextual are Contextualized Word Representations? March 24, 2020 ethics In Favor of Developing Ethical Best Practices in AI Research February 21, 2019 fairness Controllable Fairness in Machine Learning May 27, 2019 feature selection Text Feature Selection for Causal Inference December 5, 2019 gpt-2 BERT, ELMo, & GPT-2: How Contextual are Contextualized Word Representations? March 24, 2020 gpt2 BERT, ELMo, & GPT-2: How Contextual are Contextualized Word Representations? March 24, 2020 hci Towards an Educational Revolution Through Chatbots July 12, 2019 Learning to Generate Human–Object Interactions May 7, 2019 human-robot interaction Back to the Future: Planning-Aware Trajectory Forecasting for Autonomous Driving June 25, 2020 When Humans Aren’t Optimal: Robots that Collaborate with Risk-Aware Humans March 17, 2020 Influencing Leading and Following in Human-Robot Teams June 24, 2019 Learning Reward Functions by Integrating Human Demonstrations and Preferences June 22, 2019 il RoboTurk: Human Reasoning and Dexterity for Large-Scale Dataset Creation November 8, 2019 imitation learning Leveraging Compositionality for One-Shot Imitation Learning May 6, 2020 interpretability Text Feature Selection for Causal Inference December 5, 2019 Progress Toward Safe and Reliable AI May 2, 2019 learning Controlling Assistive Robots with Learned Latent Actions November 11, 2019 Learning from My Partner’s Actions: Roles in Decentralized Robot Teams October 28, 2019 Learning to Generate Human–Object Interactions May 7, 2019 learning from humans Influencing Leading and Following in Human-Robot Teams June 24, 2019 Learning Reward Functions by Integrating Human Demonstrations and Preferences June 22, 2019 machine learning A Topology Layer for Machine Learning August 23, 2019 ml Back to the Future: Planning-Aware Trajectory Forecasting for Autonomous Driving June 25, 2020 Making Sense of Vision and Touch: Multimodal Representations for Contact-Rich Tasks May 18, 2020 Leveraging Compositionality for One-Shot Imitation Learning May 6, 2020 Automating Data Augmentation: Practice, Theory and New Direction April 24, 2020 BERT, ELMo, & GPT-2: How Contextual are Contextualized Word Representations? March 24, 2020 Text Feature Selection for Causal Inference December 5, 2019 RoboNet: A Dataset for Large-Scale Multi-Robot Learning November 26, 2019 RoboTurk: Human Reasoning and Dexterity for Large-Scale Dataset Creation November 8, 2019 AC-Teach: A Bayesian Actor-Critic Method for Policy Learning with an Ensemble of Suboptimal Teachers September 11, 2019 Policy Certificates and Minimax-Optimal PAC Bounds for Episodic Reinforcement Learning August 28, 2019 Powerful Abstractions for Programmatically Building and Managing Training Sets June 21, 2019 Controllable Fairness in Machine Learning May 27, 2019 Progress Toward Safe and Reliable AI May 2, 2019 Uncertainty Autoencoders: Learning Compressed Representations via Variational Information Maximization April 17, 2019 Weak Supervision: A New Programming Paradigm for Machine Learning March 10, 2019 model-based learning RoboNet: A Dataset for Large-Scale Multi-Robot Learning November 26, 2019 multi-agent systems Learning from My Partner’s Actions: Roles in Decentralized Robot Teams October 28, 2019 multimodal Adaptive Energy-Efficient Routing for Autonomous Vehicles July 18, 2019 natural language processing BERT, ELMo, & GPT-2: How Contextual are Contextualized Word Representations? March 24, 2020 nlp Finding Cross-Lingual Syntax in Multilingual BERT May 26, 2020 BERT, ELMo, & GPT-2: How Contextual are Contextualized Word Representations? March 24, 2020 Text Feature Selection for Causal Inference December 5, 2019 Answering Complex Open-domain Questions at Scale October 21, 2019 What makes a good conversation? August 18, 2019 Beyond Local Pattern Matching: Recent Advances in Machine Reading February 26, 2019 opinion In Favor of Developing Ethical Best Practices in AI Research February 21, 2019 optimization Altruistic Autonomy: Beating Congestion on Shared Roads November 26, 2018 parity Controllable Fairness in Machine Learning May 27, 2019 planning Sequential Problem Solving by Hierarchical Planning in Latent Spaces April 10, 2020 Adaptive Energy-Efficient Routing for Autonomous Vehicles July 18, 2019 prediction Back to the Future: Planning-Aware Trajectory Forecasting for Autonomous Driving June 25, 2020 When Humans Aren’t Optimal: Robots that Collaborate with Risk-Aware Humans March 17, 2020 preferences Influencing Leading and Following in Human-Robot Teams June 24, 2019 Learning Reward Functions by Integrating Human Demonstrations and Preferences June 22, 2019 publication Stanford AI Lab Papers and Talks at ACL 2020 July 6, 2020 Stanford AI Lab Papers and Talks at CVPR 2020 June 15, 2020 SAIL and Stanford Robotics at ICRA 2020 May 30, 2020 qa Answering Complex Open-domain Questions at Scale October 21, 2019 Beyond Local Pattern Matching: Recent Advances in Machine Reading February 26, 2019 reinforcement learning Making Sense of Vision and Touch: Multimodal Representations for Contact-Rich Tasks May 18, 2020 Sequential Problem Solving by Hierarchical Planning in Latent Spaces April 10, 2020 RoboNet: A Dataset for Large-Scale Multi-Robot Learning November 26, 2019 AC-Teach: A Bayesian Actor-Critic Method for Policy Learning with an Ensemble of Suboptimal Teachers September 11, 2019 Policy Certificates and Minimax-Optimal PAC Bounds for Episodic Reinforcement Learning August 28, 2019 representation learning Making Sense of Vision and Touch: Multimodal Representations for Contact-Rich Tasks May 18, 2020 research Powerful Abstractions for Programmatically Building and Managing Training Sets June 21, 2019 Weak Supervision: A New Programming Paradigm for Machine Learning March 10, 2019 reward functions Influencing Leading and Following in Human-Robot Teams June 24, 2019 Learning Reward Functions by Integrating Human Demonstrations and Preferences June 22, 2019 rl RoboNet: A Dataset for Large-Scale Multi-Robot Learning November 26, 2019 RoboTurk: Human Reasoning and Dexterity for Large-Scale Dataset Creation November 8, 2019 AC-Teach: A Bayesian Actor-Critic Method for Policy Learning with an Ensemble of Suboptimal Teachers September 11, 2019 Policy Certificates and Minimax-Optimal PAC Bounds for Episodic Reinforcement Learning August 28, 2019 Progress Toward Safe and Reliable AI May 2, 2019 robotics Back to the Future: Planning-Aware Trajectory Forecasting for Autonomous Driving June 25, 2020 Making Sense of Vision and Touch: Multimodal Representations for Contact-Rich Tasks May 18, 2020 Leveraging Compositionality for One-Shot Imitation Learning May 6, 2020 Sequential Problem Solving by Hierarchical Planning in Latent Spaces April 10, 2020 When Humans Aren’t Optimal: Robots that Collaborate with Risk-Aware Humans March 17, 2020 RoboNet: A Dataset for Large-Scale Multi-Robot Learning November 26, 2019 Controlling Assistive Robots with Learned Latent Actions November 11, 2019 RoboTurk: Human Reasoning and Dexterity for Large-Scale Dataset Creation November 8, 2019 Learning from My Partner’s Actions: Roles in Decentralized Robot Teams October 28, 2019 AC-Teach: A Bayesian Actor-Critic Method for Policy Learning with an Ensemble of Suboptimal Teachers September 11, 2019 Batch-Active Preference-Based Learning of Reward Functions December 10, 2018 routing Adaptive Energy-Efficient Routing for Autonomous Vehicles July 18, 2019 safety Policy Certificates and Minimax-Optimal PAC Bounds for Episodic Reinforcement Learning August 28, 2019 Progress Toward Safe and Reliable AI May 2, 2019 systems Powerful Abstractions for Programmatically Building and Managing Training Sets June 21, 2019 Weak Supervision: A New Programming Paradigm for Machine Learning March 10, 2019 talk AI and the Future of Work December 20, 2018 teleoperation Controlling Assistive Robots with Learned Latent Actions November 11, 2019 transit networks Adaptive Energy-Efficient Routing for Autonomous Vehicles July 18, 2019 unsupervised representation learning Controllable Fairness in Machine Learning May 27, 2019 Uncertainty Autoencoders: Learning Compressed Representations via Variational Information Maximization April 17, 2019 video Stanford AI Lab Papers and Talks at ACL 2020 July 6, 2020 Stanford AI Lab Papers and Talks at CVPR 2020 June 15, 2020 SAIL and Stanford Robotics at ICRA 2020 May 30, 2020 AI and the Future of Work December 20, 2018 Deep Learning, Structure and Innate Priors December 3, 2018
