Papers I Read Notes and Summaries

Revisiting Semi-Supervised Learning with Graph Embeddings

Introduction

  • The paper presents a semi-supervised learning framework for graphs where the...


Two-Stage Synthesis Networks for Transfer Learning in Machine Comprehension

Introduction

  • The paper proposes a two-stage synthesis network that can perform transfer learning...

Higher-order organization of complex networks

Introduction

  • The paper presents a generalized framework for graph clustering (clusters of...


Network Motifs - Simple Building Blocks of Complex Networks

Introduction

  • The paper presents the concept of “network motifs” to understand the structural...

Word Representations via Gaussian Embedding

Introduction

  • Existing word embedding models like Skip-Gram, GloVe etc map words...

HARP - Hierarchical Representation Learning for Networks

Introduction

  • HARP is an architecture to learn low-dimensional node embeddings by compressing...


Swish - a Self-Gated Activation Function

Introduction

  • The paper presents a new activation function called Swish with formulation...


Reading Wikipedia to Answer Open-Domain Questions

Introduction

  • The paper presents a new machine comprehension dataset for question answering...


Task-Oriented Query Reformulation with Reinforcement Learning

Introduction

  • The paper introduces a query reformulation system that rewrites a query to...

Refining Source Representations with Relation Networks for Neural Machine Translation

Introduction

  • The paper introduces Relation Network (RN) that refines the encoding representation of...