Videos

See AI2's full collection of videos on our YouTube channel.
Viewing 1-10 of 202 videos
  • Biomedical AI for Precision Health Thumbnail

    Biomedical AI for Precision Health

    August 16, 2022  |  Hoifung Poon
    Abstract: The advent of big data promises to revolutionize medicine by making it more personalized and effective, but big data also presents a grand challenge of information overload. For example, tumor sequencing has become routine in cancer treatment, yet interpreting the genomic data requires painstakingly…
  • Beyond End-to-end: Decomposed Modeling and Representations in NLP Thumbnail

    Beyond End-to-end: Decomposed Modeling and Representations in NLP

    July 22, 2022  |  Ido Dagan
    ABSTRACT: Deep learning has pushed us to develop models and representations which we understand and control to a much lesser degree than earlier methods. In this talk I suggest revisiting the pursuit of decomposed models and representations, aiming to regain a better understanding and control of our systems while…
  • "Computers don't have common sense" with Dr. Oren Etzioni Thumbnail

    "Computers don't have common sense" with Dr. Oren Etzioni

    July 13, 2022  |  Oren Etzioni
    Allen Institute for AI or AI2 is the brainchild of the late Paul Allen, philanthropist, and Microsoft co-founder. Dr. Oren has also been a part of the organisation from its inception. Being a renowned expert in the field of AI and a serial entrepreneur, he has helped pioneer meta-search, online comparison…
  • Applied AI in High-Expertise Settings, or Curation as Programming Thumbnail

    Applied AI in High-Expertise Settings, or Curation as Programming

    June 29, 2022  |  Bill Howe
    The success of large AI models in challenging (yet conceptually simple) perception and comprehension tasks (e.g., generating images from a text description) is motivating new applications of these methods in areas previously considered to require human expertise. For example, deep learning has shown promise in…
  • Machines Making Moral Decisions Thumbnail

    Machines Making Moral Decisions

    June 22, 2022  |  Kurt Gray
    Abstract: Humans are increasingly working with AI-powered algorithms, sharing the road with autonomous vehicles, sharing hospital wards with autonomous surgery robots, and making joint decisions with autonomous algorithms. As we adapt to the increasing presence of AIs playing significant roles in our…
  • Time Waits for No One! Analysis and Challenges of Temporal Misalignment Thumbnail

    Time Waits for No One! Analysis and Challenges of Temporal Misalignment

    June 14, 2022  |  Kelvin Luu
    When an NLP model is trained on text data from one time period and tested or deployed on data from another, the resulting temporal misalignment can degrade end-task performance. In this work, we establish a suite of eight diverse tasks across different domains (social media, science papers, news, and reviews) and…
  • Prompt Waywardness: The Curious Case of Discretized Interpretation of Continuous Prompts Thumbnail

    Prompt Waywardness: The Curious Case of Discretized Interpretation of Continuous Prompts

    June 10, 2022  |  Daniel Khashabi
    Fine-tuning continuous prompts for target tasks has recently emerged as a compact alternative to full model fine-tuning. Motivated by these promising results, we investigate the feasibility of extracting a discrete (textual) interpretation of continuous prompts that is faithful to the problem they solve. In…
  • Text Modular Networks: Learning to Decompose Tasks in the Language of Existing Models Thumbnail

    Text Modular Networks: Learning to Decompose Tasks in the Language of Existing Models

    June 6, 2022  |  Tushar Khot
    NAACL '21 Presentation of our paper: https://api.semanticscholar.org/CorpusID:221448158 We propose a general framework called Text Modular Networks(TMNs) for building interpretable systems that learn to solve complex tasks by decomposing them into simpler ones solvable by existing models. To ensure solvability…
  • Reframing Instructional Prompts to GPTk’s Language Thumbnail

    Reframing Instructional Prompts to GPTk’s Language

    June 5, 2022  |  Swaroop Mishra
    This video summarizes the paper "https://aclanthology.org/2022.findings-acl.50/". Abstract: What kinds of instructional prompts are easier to follow for Language Models (LMs)? We study this question by conducting extensive empirical analysis that shed light on important features of successful instructional…
  • Hey AI, Can You Solve Complex Tasks by Talking to Agents? Thumbnail

    Hey AI, Can You Solve Complex Tasks by Talking to Agents?

    May 22, 2022  |  Tushar Khot
    ACL '22 Talk for paper: https://api.semanticscholar.org/CorpusID:248666080 Training giant models from scratch for each complex task is resource- and data-inefficient. To help develop models that can leverage existing systems, we propose a new challenge: Learning to solve complex tasks by communicating with…