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 AISTATS Stanford AI Lab Papers and Talks at AISTATS 2021 April 13, 2021 About About April 19, 2021 Subscribe April 19, 2021 Archive About April 19, 2021 Subscribe April 19, 2021 CVPR Stanford AI Lab Papers and Talks at CVPR 2020 June 15, 2020 CoRL Stanford AI Lab Papers and Talks at CoRL 2020 November 16, 2020 ECCV Stanford AI Lab Papers and Talks at ECCV 2020 August 23, 2020 EMNLP Stanford AI Lab Papers and Talks at EMNLP 2020 November 15, 2020 Healthcare Towards Vision-Based Smart Hospitals November 19, 2018 ICLR Stanford AI Lab Papers and Talks at ICML 2020 July 11, 2020 SAIL and Stanford Robotics at ICRA 2020 May 30, 2020 SAIL at ICLR 2020: Accepted Papers and Videos April 27, 2020 ML Blue People v. City of Ney December 20, 2020 Meta Hello World November 18, 2018 NED Bootleg: Chasing the Tail with Self-Supervised Named Entity Disambiguation November 12, 2020 NeurIPS Stanford AI Lab Papers and Talks at NeurIPS 2020 December 6, 2020 PAC Towards Vision-Based Smart Hospitals November 19, 2018 RSS Stanford Papers and Workshops at RSS 2020 July 9, 2020 SGD Neural Mechanics: Symmetry and Broken Conservation Laws In Deep Learning Dynamics February 25, 2021 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 alexa prize Inside Chirpy Cardinal: Stanford's Open-Source Social Chatbot that Won 2nd place in the Alexa Prize April 9, 2021 analysis Do Language Models Know How Heavy an Elephant Is? February 17, 2021 assistance Controlling Assistive Robots with Learned Latent Actions November 11, 2019 autonomous driving Safety Validation of Black-Box Autonomous Systems August 31, 2020 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 Do Language Models Know How Heavy an Elephant Is? February 17, 2021 BERT, ELMo, & GPT-2: How Contextual are Contextualized Word Representations? March 24, 2020 bertology Do Language Models Know How Heavy an Elephant Is? February 17, 2021 bias Measuring Bias in NLP (with Confidence!) November 11, 2020 causal inference Text Feature Selection for Causal Inference December 5, 2019 chatbots Inside Chirpy Cardinal: Stanford's Open-Source Social Chatbot that Won 2nd place in the Alexa Prize April 9, 2021 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 neuroscience A Model-Based Approach Towards Identifying the Brain's Learning Algorithms December 9, 2020 computational topology A Topology Layer for Machine Learning August 23, 2019 computer vision Broadening the Reach of Contrastive Learning with Viewmaker Networks April 20, 2021 Learning from Language Explanations November 23, 2020 conference Stanford AI Lab Papers and Talks at AISTATS 2021 April 13, 2021 Stanford AI Lab Papers and Talks at NeurIPS 2020 December 6, 2020 Stanford AI Lab Papers and Talks at CoRL 2020 November 16, 2020 Stanford AI Lab Papers and Talks at EMNLP 2020 November 15, 2020 Stanford AI Lab Papers and Talks at ECCV 2020 August 23, 2020 Stanford AI Lab Papers and Talks at ICML 2020 July 11, 2020 Stanford Papers and Workshops at RSS 2020 July 9, 2020 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 conservation Neural Mechanics: Symmetry and Broken Conservation Laws In Deep Learning Dynamics February 25, 2021 contrastive learning Broadening the Reach of Contrastive Learning with Viewmaker Networks April 20, 2021 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 creative writing How to Fill in the Blanks with Language Models September 10, 2020 deep learning Controllable Fairness in Machine Learning May 27, 2019 Uncertainty Autoencoders: Learning Compressed Representations via Variational Information Maximization April 17, 2019 deep learning theory Neural Mechanics: Symmetry and Broken Conservation Laws In Deep Learning Dynamics February 25, 2021 deep networks A Model-Based Approach Towards Identifying the Brain's Learning Algorithms December 9, 2020 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 domain-agnostic Broadening the Reach of Contrastive Learning with Viewmaker Networks April 20, 2021 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 entity linking Bootleg: Chasing the Tail with Self-Supervised Named Entity Disambiguation November 12, 2020 ethics Measuring Bias in NLP (with Confidence!) November 11, 2020 In Favor of Developing Ethical Best Practices in AI Research February 21, 2019 explanation Learning from Language Explanations November 23, 2020 fairness Removing Spurious Features can Hurt Accuracy and Affect Groups Disproportionately January 24, 2021 Measuring Bias in NLP (with Confidence!) November 11, 2020 Controllable Fairness in Machine Learning May 27, 2019 feature selection Text Feature Selection for Causal Inference December 5, 2019 fill in the blanks How to Fill in the Blanks with Language Models September 10, 2020 generalization Bootleg: Chasing the Tail with Self-Supervised Named Entity Disambiguation November 12, 2020 gpt-2 BERT, ELMo, & GPT-2: How Contextual are Contextualized Word Representations? March 24, 2020 gpt-3 Measuring Bias in NLP (with Confidence!) November 11, 2020 gpt2 BERT, ELMo, & GPT-2: How Contextual are Contextualized Word Representations? March 24, 2020 gpt3 Measuring Bias in NLP (with Confidence!) November 11, 2020 grounding Learning from Language Explanations November 23, 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 Leveraging Compositionality for One-Shot Imitation Learning May 6, 2020 RoboTurk: Human Reasoning and Dexterity for Large-Scale Dataset Creation November 8, 2019 ilm How to Fill in the Blanks with Language Models September 10, 2020 imitation learning GTI: Learning to Generalize Across Long-Horizon Tasks from Human Demonstrations October 7, 2020 infilling How to Fill in the Blanks with Language Models September 10, 2020 infilling by language modeling How to Fill in the Blanks with Language Models September 10, 2020 interpretability Do Language Models Know How Heavy an Elephant Is? February 17, 2021 Text Feature Selection for Causal Inference December 5, 2019 Progress Toward Safe and Reliable AI May 2, 2019 language model How to Fill in the Blanks with Language Models September 10, 2020 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 lm How to Fill in the Blanks with Language Models September 10, 2020 machine learning Neural Mechanics: Symmetry and Broken Conservation Laws In Deep Learning Dynamics February 25, 2021 Do Language Models Know How Heavy an Elephant Is? February 17, 2021 Removing Spurious Features can Hurt Accuracy and Affect Groups Disproportionately January 24, 2021 A Model-Based Approach Towards Identifying the Brain's Learning Algorithms December 9, 2020 Learning from Language Explanations November 23, 2020 Learning to Fix Programs from Error Messages November 8, 2020 A Topology Layer for Machine Learning August 23, 2019 meta-learning Adapting on the Fly to Test Time Distribution Shift November 5, 2020 Explore then Execute: Adapting without Rewards via Factorized Meta-Reinforcement Learning August 26, 2020 ml Neural Mechanics: Symmetry and Broken Conservation Laws In Deep Learning Dynamics February 25, 2021 Do Language Models Know How Heavy an Elephant Is? February 17, 2021 Learning from Language Explanations November 23, 2020 Learning to Fix Programs from Error Messages November 8, 2020 Adapting on the Fly to Test Time Distribution Shift November 5, 2020 GTI: Learning to Generalize Across Long-Horizon Tasks from Human Demonstrations October 7, 2020 Safety Validation of Black-Box Autonomous Systems August 31, 2020 Explore then Execute: Adapting without Rewards via Factorized Meta-Reinforcement Learning August 26, 2020 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 Text Feature Selection for Causal Inference December 5, 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 named entity disambiguation Bootleg: Chasing the Tail with Self-Supervised Named Entity Disambiguation November 12, 2020 neural generation Inside Chirpy Cardinal: Stanford's Open-Source Social Chatbot that Won 2nd place in the Alexa Prize April 9, 2021 nlp Inside Chirpy Cardinal: Stanford's Open-Source Social Chatbot that Won 2nd place in the Alexa Prize April 9, 2021 Do Language Models Know How Heavy an Elephant Is? February 17, 2021 Learning from Language Explanations November 23, 2020 Bootleg: Chasing the Tail with Self-Supervised Named Entity Disambiguation November 12, 2020 Measuring Bias in NLP (with Confidence!) November 11, 2020 Learning to Fix Programs from Error Messages November 8, 2020 How to Fill in the Blanks with Language Models September 10, 2020 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 open source Inside Chirpy Cardinal: Stanford's Open-Source Social Chatbot that Won 2nd place in the Alexa Prize April 9, 2021 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 physics Neural Mechanics: Symmetry and Broken Conservation Laws In Deep Learning Dynamics February 25, 2021 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 pretraining Broadening the Reach of Contrastive Learning with Viewmaker Networks April 20, 2021 probing Do Language Models Know How Heavy an Elephant Is? February 17, 2021 program synthesis Learning to Fix Programs from Error Messages November 8, 2020 publication Stanford AI Lab Papers and Talks at AISTATS 2021 April 13, 2021 Stanford AI Lab Papers and Talks at NeurIPS 2020 December 6, 2020 Stanford AI Lab Papers and Talks at CoRL 2020 November 16, 2020 Stanford AI Lab Papers and Talks at EMNLP 2020 November 15, 2020 Stanford AI Lab Papers and Talks at ECCV 2020 August 23, 2020 Stanford AI Lab Papers and Talks at ICML 2020 July 11, 2020 Stanford Papers and Workshops at RSS 2020 July 9, 2020 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 GTI: Learning to Generalize Across Long-Horizon Tasks from Human Demonstrations October 7, 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 iGibson: A Simulation Environment to Train AI Agents in Large Realistic Scenes December 8, 2020 Learning to Influence Multi-Agent Interaction November 14, 2020 GTI: Learning to Generalize Across Long-Horizon Tasks from Human Demonstrations October 7, 2020 Safety Validation of Black-Box Autonomous Systems August 31, 2020 Explore then Execute: Adapting without Rewards via Factorized Meta-Reinforcement Learning August 26, 2020 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 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 iGibson: A Simulation Environment to Train AI Agents in Large Realistic Scenes December 8, 2020 Learning to Influence Multi-Agent Interaction November 14, 2020 GTI: Learning to Generalize Across Long-Horizon Tasks from Human Demonstrations October 7, 2020 Safety Validation of Black-Box Autonomous Systems August 31, 2020 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 robustness Removing Spurious Features can Hurt Accuracy and Affect Groups Disproportionately January 24, 2021 routing Adaptive Energy-Efficient Routing for Autonomous Vehicles July 18, 2019 safety Safety Validation of Black-Box Autonomous Systems August 31, 2020 Policy Certificates and Minimax-Optimal PAC Bounds for Episodic Reinforcement Learning August 28, 2019 Progress Toward Safe and Reliable AI May 2, 2019 self-supervised Broadening the Reach of Contrastive Learning with Viewmaker Networks April 20, 2021 self-supervised learning Learning to Fix Programs from Error Messages November 8, 2020 sensors Broadening the Reach of Contrastive Learning with Viewmaker Networks April 20, 2021 socialbot Inside Chirpy Cardinal: Stanford's Open-Source Social Chatbot that Won 2nd place in the Alexa Prize April 9, 2021 speech Broadening the Reach of Contrastive Learning with Viewmaker Networks April 20, 2021 spurious feature Removing Spurious Features can Hurt Accuracy and Affect Groups Disproportionately January 24, 2021 story generation How to Fill in the Blanks with Language Models September 10, 2020 symmetry Neural Mechanics: Symmetry and Broken Conservation Laws In Deep Learning Dynamics February 25, 2021 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 text infilling How to Fill in the Blanks with Language Models September 10, 2020 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 AISTATS 2021 April 13, 2021 Stanford AI Lab Papers and Talks at NeurIPS 2020 December 6, 2020 Stanford AI Lab Papers and Talks at CoRL 2020 November 16, 2020 Stanford AI Lab Papers and Talks at EMNLP 2020 November 15, 2020 Stanford AI Lab Papers and Talks at ECCV 2020 August 23, 2020 Stanford AI Lab Papers and Talks at ICML 2020 July 11, 2020 Stanford Papers and Workshops at RSS 2020 July 9, 2020 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 vision Stanford AI Lab Papers and Talks at ECCV 2020 August 23, 2020 Stanford AI Lab Papers and Talks at CVPR 2020 June 15, 2020 Making Sense of Vision and Touch: Multimodal Representations for Contact-Rich Tasks May 18, 2020 Learning to Generate Human–Object Interactions May 7, 2019 Towards Vision-Based Smart Hospitals November 19, 2018 workshop Stanford Papers and Workshops at RSS 2020 July 9, 2020