Videos

See AI2's full collection of videos on our YouTube channel.
Viewing 1-10 of 260 videos
  • AI-enabled scientific discovery in natural world imagery Thumbnail

    AI-enabled scientific discovery in natural world imagery

    June 20, 2024  |  Sara Beery
    Abstract: Natural world images collected by communities of enthusiast volunteers provide a vast and largely uncurated source of data. For instance, iNaturalist has over 180 million images tagged with species labels, already contributing immensely to research such as biodiversity monitoring and having been cited…
  • Concept Bottleneck Models for Text Classification Thumbnail

    Concept Bottleneck Models for Text Classification

    June 7, 2024  |  Josh Magnus Ludan
    Interpretable-by-Design Text Understanding with Iteratively Generated Concept Bottleneck https://arxiv.org/abs/2310.19660 Josh Magnus Ludan, Qing Lyu, Yue Yang, Liam Dugan, Mark Yatskar, Chris Callison-Burch Black-box deep neural networks excel in text classification, yet their application in high-stakes domains…
  • The Pre-trainer's toolkit: From dataset construction to model scaling Thumbnail

    The Pre-trainer's toolkit: From dataset construction to model scaling

    May 6, 2024  |  Samir Yitzhak Gadre
    Abstract: Recent breakthroughs in machine learning rely heavily on pre-training techniques, harnessing larger datasets, models, and computational resources to create base-models for subsequent fine-tuning. In this talk, we develop a pre-training toolkit. Drawing from empirical findings, we present methodologies…
  • Robot Learning by Understanding Egocentric Videos Thumbnail

    Robot Learning by Understanding Egocentric Videos

    April 22, 2024  |  Saurabh Gupta
    Abstract: True gains of machine learning in AI sub-fields such as computer vision and natural language processing have come about from the use of large-scale diverse datasets for learning. In this talk, I will discuss how we can leverage large-scale diverse data in the form of egocentric videos (first-person…
  • Project Sidewalk: Crowd+AI Techniques to Map and Assess Every Sidewalk in the World Thumbnail

    Project Sidewalk: Crowd+AI Techniques to Map and Assess Every Sidewalk in the World

    April 18, 2024  |  Jon Froehlich
    Abstract: Sidewalks are critical to human mobility, local commerce, and environmentally sustainable cities. In this interactive talk, we will showcase our 12+ years of research in developing scalable techniques to map, assess, and visualize sidewalks throughout the world. See https://projectsidewalk.org for more…
  • Does Generative AI Infringe Copyright? Thumbnail

    Does Generative AI Infringe Copyright?

    April 10, 2024  |  James Grimmelman
    Abstract: Discussion of the copyright-law aspects of generative AI, based on ["Talkin’ ’Bout AI Generation: Copyright and the Generative-AI Supply Chain"](https://james.grimmelmann.net/files/articles/talkin-bout-ai-generation.pdf) . Here's a blog about the paper he co-authored: https://genlaw.org/explainers…
  • Towards a more contextualized view of the web Thumbnail

    Towards a more contextualized view of the web

    April 3, 2024  |  Sihao Chen
    Abstract: Today, search tools and language models are better than ever at directing users to the relevant information according to their needs. However, it remains difficult for the users to put the information in the context of other sources. The lack of proper infrastructures and tools to provide…
  • Cultivating Insights: AI-Infused Workflow Designs for Nurturing the Scientific Idea Garden Thumbnail

    Cultivating Insights: AI-Infused Workflow Designs for Nurturing the Scientific Idea Garden

    March 27, 2024  |  Hyeonsu Kang
    Abstract: The advancement of science, engineering, and design depends on scientists' cognitive abilities to innovate beyond existing ideas. While human cognition excels at detecting patterns and forming original ideas, it is also hampered by cognitive biases and limitations, such as working memory and processing…
  • Optimization within Latent Spaces Thumbnail

    Optimization within Latent Spaces

    March 25, 2024  |  Varsha Kishore
    Abstract: Large language models are good at learning semantic latent spaces, and the resulting contextual embeddings from these models serve as powerful representations of information. In this talk, I present two novel uses of semantic distances in these latent spaces. In the first part, I introduce BERTScore, an…
  • Training Human-AI Teams Thumbnail

    Training Human-AI Teams

    March 18, 2024  |  Hussein Mozannar
    Abstract: AI systems, including large language models (LLMs), are augmenting the capabilities of humans in settings such as healthcare and programming. I first showcase preliminary evidence of the productivity gains of LLMs in programming tasks. To understand opportunities for model improvements, I developed a…