Papers I Read Notes and Summaries

StarSpace - Embed All The Things!

Introduction

  • The paper describes a general purpose neural embedding model where different type of entities (described in... Continue reading


Emotional Chatting Machine - Emotional Conversation Generation with Internal and External Memory

  • The paper proposes ECM (Emotional Chatting Machine) which can generate both semantically and emotionally appropriate responses in a... Continue reading


Exploring Models and Data for Image Question Answering

Introduction


How transferable are features in deep neural networks

Introduction

  • When neural networks are trained on images, they tend to learn the same kind of features... Continue reading


Distilling the Knowledge in a Neural Network

Introduction

  • In machine learning, it is common to train a single large model (with a large number... Continue reading


PTE - Predictive Text Embedding through Large-scale Heterogeneous Text Networks

Introduction

  • Unsupervised text embeddings can be generalized for different tasks but they have weaker predictive powers (as... Continue reading


Revisiting Semi-Supervised Learning with Graph Embeddings

Introduction

  • The paper presents a semi-supervised learning framework for graphs where the node embeddings are used to... Continue reading


Two-Stage Synthesis Networks for Transfer Learning in Machine Comprehension

Introduction

  • The paper proposes a two-stage synthesis network that can perform transfer learning for the task of machine... Continue reading

Higher-order organization of complex networks

Introduction

  • The paper presents a generalized framework for graph clustering (clusters of network motifs) on the basis... Continue reading


Network Motifs - Simple Building Blocks of Complex Networks

Introduction

  • The paper presents the concept of “network motifs” to understand the structural design of a network or... Continue reading