Papers I Read Notes and Summaries

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

Word Representations via Gaussian Embedding

Introduction


HARP - Hierarchical Representation Learning for Networks

Introduction

  • HARP is an architecture to learn low-dimensional node embeddings by compressing the input graph into smaller... Continue reading


Swish - a Self-Gated Activation Function

Introduction

  • The paper presents a new activation function called Swish with formulation f(x) = x.sigmod(x) and its... Continue reading


Reading Wikipedia to Answer Open-Domain Questions

Introduction

  • The paper presents a new machine comprehension dataset for question answering in real life setting (say... Continue reading


Task-Oriented Query Reformulation with Reinforcement Learning

Introduction

  • The paper introduces a query reformulation system that rewrites a query to maximise the number of “relevant”... Continue reading

Refining Source Representations with Relation Networks for Neural Machine Translation

Introduction

  • The paper introduces Relation Network (RN) that refines the encoding representation of the given source document (or... Continue reading

Pointer Networks

Introduction

  • The paper introduces a novel architecture that generates an output sequence such that the elements of... Continue reading