Data Skeptic

Data Skeptic

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  • Typical duration

    37 min

    per episode

Based on Podcast App listening data

Data Skeptic episodes

  • SpanBERT

    Omer Levy joins us to discuss "SpanBERT: Improving Pre-training by Representing and Predicting Spans".

    https://arxiv.org/abs/1907.10529

    25 min
  • BERT is Shallow

    Tim Niven joins us this week to discuss his work exploring the limits of what BERT can do on certain natural language tasks such as adversarial attacks, compositional learning, and systematic learning.

    21 min
  • Building the howto100m Video Corpus

    Video annotation is an expensive and time-consuming process. As a consequence, the available video datasets are useful but small. The availability of machine transcribed explainer videos offers a unique opportunity to rapidly develop a useful, if dirty, corpus of videos that are "self annotating", as hosts explain the actions they are taking on the screen.

    This episode is a discussion of the HowTo100m dataset - a project which has assembled a video corpus of 136M video clips with captions covering 23k activities.

    Related Links

    The paper will be presented at ICCV 2019

    @antoine77340

    Antoine on Github

    Antoine's homepage

    23 min
  • BERT

    Kyle provides a non-technical overview of why Bidirectional Encoder Representations from Transformers (BERT) is a powerful tool for natural language processing projects.

    14 min
  • Onnx

    Kyle interviews Prasanth Pulavarthi about the Onnx format for deep neural networks.

    21 min
  • Transfer Learning

    Sebastian Ruder is a research scientist at DeepMind. In this episode, he joins us to discuss the state of the art in transfer learning and his contributions to it.

    30 min
  • Facebook Bargaining Bots Invented a Language

    In 2017, Facebook published a paper called Deal or No Deal? End-to-End Learning for Negotiation Dialogues. In this research, the reinforcement learning agents developed a mechanism of communication (which could be called a language) that made them able to optimize their scores in the negotiation game. Many media sources reported this as if it were a first step towards Skynet taking over. In this episode, Kyle discusses bargaining agents and the actual results of this research.

    24 min

About Data Skeptic

From the publisher's feed

The Data Skeptic Podcast features interviews and discussion of topics related to data science, statistics, machine learning, artificial intelligence and the like, all from the perspective of applying…

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