Videos
See AI2's full collection of videos on our YouTube channel.Viewing 221-230 of 252 videos
Provable Guarantees for Non-convex and Convex Optimization in High Dimensions
November 3, 2015 | Hanie SedghiLearning with big data is akin to finding a needle in a haystack: useful information is hidden in high dimensional data. Optimization methods, both convex and nonconvex, require new thinking when dealing with high dimensional data, and I present two novel solutions.
Large Topic Models: Efficient Inference and Applications
September 14, 2015 | Doug DowneyIn this talk, I will introduce efficient methods for inferring large topic hierarchies. The approach is built upon the Sparse Backoff Tree (SBT), a new prior for latent topic distributions that organizes the latent topics as leaves in a tree. I will show how a document model based on SBTs can effectively infer…
Contextual LSTMs A step towards Hierarchial Language Modeling
September 10, 2015 | Shalini GhoshDocuments exhibit sequential structure at multiple levels of abstraction (e.g., sentences, paragraphs, sections). These abstractions constitute a natural hierarchy for representing the context in which to infer the meaning of words and larger fragments of text. In this talk, we present CLSTM (Contextual LSTM), an…
Unsupervised Alignment of Natural Language with Video
August 18, 2015 | Iftekhar NaimToday we encounter enormous amounts of video data, often accompanied with text descriptions (e.g., cooking videos and recipes, movies and shooting scripts). Extracting meaningful information from these multimodal sequences requires aligning the video frames with the corresponding text sentences. We address the…
Feature Generation from Knowledge Graphs
July 30, 2015 | Matt GardnerA lot of attention has recently been given to the creation of large knowledge bases that contain millions of facts about people, things, and places in the world. In this talk I present methods for using these knowledge bases to generate features for machine learning models. These methods view the knowledge base…
Consciousness in Biological and Artificial Brains
July 10, 2015 | Christof KochHuman and non-human animals not only act in the world but are capable of conscious experience. That is, it feels like something to have a brain and be cold, angry or see red. I will discuss the scientific progress that has been achieved over the past decades in characterizing the behavioral and the neuronal…
Machine Learning with Humans In-the-Loop
April 21, 2015 | Karthik RamanIn this talk I discuss the challenges of learning from data that results from human behavior. I will present new machine learning models and algorithms that explicitly account for the human decision making process and factors underlying it such as human expertise, skills and needs. The talk will also explore how…
Going Beyond Fact-Based Question Answering
April 7, 2015 | Erik T. MuellerTo solve the AI problem, we need to develop systems that go beyond answering fact-based questions. Watson has been hugely successful at answering fact-based questions, but to solve hard AI tasks like passing science tests and understanding narratives, we need to go beyond simple facts. In this talk, I discuss how…
Bring Your Own Model: Model-Agnostic Improvements in NLP
April 7, 2015 | Dani YogatamaThe majority of NLP research focuses on improving NLP systems by designing better model classes (e.g., non-linear models, latent variable models). In this talk, I will describe a complementary approach based on incorporation of linguistic bias and optimization of text representations that is applicable to several…
Learning from Large, Structured Examples
March 31, 2015 |In many real-world applications of AI and machine learning, such as natural language processing, computer vision and knowledge base construction, data sources possess a natural internal structure, which can be exploited to improve predictive accuracy. Sometimes the structure can be very large, containing many…