Videos
See AI2's full collection of videos on our YouTube channel.Viewing 181-190 of 252 videos
Learning Agents That Interact With Humans
February 20, 2017 | He He XiyThe future of virtual assistants, self-driving cars, and smart homes require intelligent agents that work intimately with users. Instead of passively following orders given by users, an interactive agent must actively collaborate with people through communication, coordination, and user-adaptation. In this talk…
The Intelligent Management of Machine Learning
February 16, 2017 | Christopher LinResearch in artificial intelligence and machine learning (ML) has exploded in the last decade, bringing humanity to the cusp of self-driving cars, digital personal assistants, and unbeatable game-playing robots. My research, which spans the areas of AI, ML, Crowdsourcing, and Natural Language Processing (NLP…
Representation Learning for Language Units of Different Granularity
February 13, 2017 | Wenpeng YinWenpeng's talk mainly covers his work developing state-of-the-art deep neural networks to learn representations for different granularity of language units including single words, phrases, sentences, documents and knowledge graphs (KG). Specifically, he tries to deal with these questions: (a) So many pre-trained…
Learning Language through Interaction
January 25, 2017 | Hal DaumeMachine learning-based natural language processing systems are amazingly effective, when plentiful labeled training data exists for the task/domain of interest. Unfortunately, for broad coverage (both in task and domain) language understanding, we're unlikely to ever have sufficient labeled data, and systems must…
Situated Intelligent Interactive Systems
January 18, 2017 | Zhou YuCommunication is an intricate dance, an ensemble of coordinated individual actions. Imagine a future where machines interact with us like humans, waking us up in the morning, navigating us to work, or discussing our daily schedules in a coordinated and natural manner. Current interactive systems being developed…
Artificial Intelligence will empower us, not exterminate us
November 19, 2016 | Oren EtzioniArtificial Intelligence advocate Oren Etzioni makes a case for the life-saving benefits of AI used wisely to improve our way of life. Acknowledging growing fears about AI’s potential for abuse of power, he asks us to consider how to responsibly balance our desire for greater intelligence and autonomy with the…
Computer Vision @ Facebook
November 8, 2016 | Manohar PulariOver the past 5 years the community has made significant strides in the field of Computer Vision. Thanks to large scale datasets, specialized computing in form of GPUs and many breakthroughs in modeling better convnet architectures Computer Vision systems in the wild at scale are becoming a reality. At Facebook…
Knowledge Based Question Answering
October 18, 2016 | Kun XuAs very large structured knowledge bases have become available, answering natural language questions over structured knowledge facts has attracted increasing research efforts. We tackle this task in a pipeline paradigm, that is, recognizing users’ query intention and mapping the involved semantic items against a…
Modular Neural Architectures for Grounded Language Learning
October 18, 2016 | Jacob AndreasLanguage understanding depends on two abilities: an ability to translate between natural language utterances and abstract representations of meaning, and an ability to relate these meaning representations to the world. In the natural language processing literature, these tasks are respectively known as "semantic…
Navigating Natural Language Using Reinforcement Learning
September 29, 2016 | Karthik NarasimhanIn this talk, I will describe two approaches to learning natural language semantics using reward-based feedback. This is in contrast to many NLP approaches that rely on large amounts of supervision, which is often expensive and difficult to obtain. First, I will describe a framework utilizing reinforcement…