Slides for discussions on interesting papers
Date:
ELECTRA- This work introduces a new pre-training objective called replaced-token detection which is more efficient than the traditional masked language modeling objective. [Slides]Plug and Play Language Models- This work introduces simple approach that can control the text generation based on attributes. [Slides]Abstractive and Extractive Summarization- Presented two key papers for text summarization using neural networks. [Slides]A Laplacian Framework for Option Discovery in Reinforcement Learning- Presented usefulness of Proto-Value Functions and the paper’s laplacian framework for finding useful options. [Slides]Dataless Classification- Presented the idea of using semantic information in label names and how this idea dovetails with co-training. [Slides]Children search for information as efficiently as adults, but seek additional confirmatory evidence- Presented a cognitive approach to explaining how children and adults search for information equally efficiently but differ in the implementation of the stopping rule along with a primer on ANOVA and Bonferroni corrected multiple comparisons. [Slides]