Ranking Policy Gradient

24 Jun 2019illidanlab/rpg

To accelerate the learning of policy gradient methods, we describe a novel off-policy learning framework and establish the equivalence between maximizing the lower bound of return and imitating a near-optimal policy without accessing any oracles.

POLICY GRADIENT METHODS

2
24 Jun 2019

Cascade R-CNN: High Quality Object Detection and Instance Segmentation

24 Jun 2019zhaoweicai/cascade-rcnn

In object detection, the intersection over union (IoU) threshold is frequently used to define positives/negatives.

#17 best model for Object Detection on COCO

INSTANCE SEGMENTATION OBJECT DETECTION SEMANTIC SEGMENTATION

689
24 Jun 2019

LIAAD at SemDeep-5 Challenge: Word-in-Context (WiC)

24 Jun 2019danlou/LMMS

This paper describes the LIAAD system that was ranked second place in the Word-in-Context challenge (WiC) featured in SemDeep-5.

WORD SENSE DISAMBIGUATION

1
24 Jun 2019

Adversarial Computation of Optimal Transport Maps

24 Jun 2019jshe/wasserstein-2

We show that during training, our generator follows the $W_2$-geodesic between the initial and the target distributions.

0
24 Jun 2019

Business Taxonomy Construction Using Concept-Level Hierarchical Clustering

24 Jun 2019SenticNet/neeq-annual-reports

Business taxonomies are indispensable tools for investors to do equity research and make professional decisions.

BUSINESS TAXONOMY CONSTRUCTION

0
24 Jun 2019

ESNet: An Efficient Symmetric Network for Real-time Semantic Segmentation

24 Jun 2019xiaoyufenfei/ESNet

The whole network has nearly symmetric architecture, which is mainly composed of a series of factorized convolution unit (FCU) and its parallel counterparts (PFCU).

REAL-TIME SEMANTIC SEGMENTATION

27
24 Jun 2019

Efficient and Effective Context-Based Convolutional Entropy Modeling for Image Compression

24 Jun 2019limuhit/SCAE

We demonstrate the power of CCNs for entropy modeling in both lossless and lossy image compression.

IMAGE COMPRESSION

4
24 Jun 2019

Language Modelling Makes Sense: Propagating Representations through WordNet for Full-Coverage Word Sense Disambiguation

24 Jun 2019danlou/LMMS

Contextual embeddings represent a new generation of semantic representations learned from Neural Language Modelling (NLM) that addresses the issue of meaning conflation hampering traditional word embeddings.

LANGUAGE MODELLING WORD EMBEDDINGS WORD SENSE DISAMBIGUATION

1
24 Jun 2019

Densely Connected Search Space for More Flexible Neural Architecture Search

23 Jun 2019JaminFong/DenseNAS

We achieve this by constructing a densely connected search space and name our method as DenseNAS.

IMAGE CLASSIFICATION NEURAL ARCHITECTURE SEARCH

31
23 Jun 2019

Variational Sequential Labelers for Semi-Supervised Learning

EMNLP 2018 mingdachen/vsl

Our model family consists of a latent-variable generative model and a discriminative labeler.

LEARNING WORD EMBEDDINGS

24
23 Jun 2019