
-
Fast Interleaved Bidirectional Sequence Generation
Independence assumptions during sequence generation can speed up inferen...
read it
-
Adaptive Feature Selection for End-to-End Speech Translation
Information in speech signals is not evenly distributed, making it an ad...
read it
-
Training Data Generating Networks: Linking 3D Shapes and Few-Shot Classification
We propose a novel 3d shape representation for 3d shape reconstruction f...
read it
-
Explicit Representation of the Translation Space: Automatic Paraphrasing for Machine Translation Evaluation
Following previous work on automatic paraphrasing, we assess the feasibi...
read it
-
Improving Massively Multilingual Neural Machine Translation and Zero-Shot Translation
Massively multilingual models for neural machine translation (NMT) are t...
read it
-
On Sparsifying Encoder Outputs in Sequence-to-Sequence Models
Sequence-to-sequence models usually transfer all encoder outputs to the ...
read it
-
Point Cloud Instance Segmentation using Probabilistic Embeddings
In this paper we propose a new framework for point cloud instance segmen...
read it
-
Root Mean Square Layer Normalization
Layer normalization (LayerNorm) has been successfully applied to various...
read it
-
Improving Deep Transformer with Depth-Scaled Initialization and Merged Attention
The general trend in NLP is towards increasing model capacity and perfor...
read it
-
A Lightweight Recurrent Network for Sequence Modeling
Recurrent networks have achieved great success on various sequential tas...
read it
-
Revisiting Low-Resource Neural Machine Translation: A Case Study
It has been shown that the performance of neural machine translation (NM...
read it
-
Simplifying Neural Machine Translation with Addition-Subtraction Twin-Gated Recurrent Networks
In this paper, we propose an additionsubtraction twin-gated recurrent ne...
read it
-
Otem&Utem: Over- and Under-Translation Evaluation Metric for NMT
Although neural machine translation(NMT) yields promising translation pe...
read it
-
Accelerating Neural Transformer via an Average Attention Network
With parallelizable attention networks, the neural Transformer is very f...
read it
-
Variational Recurrent Neural Machine Translation
Partially inspired by successful applications of variational recurrent n...
read it
-
A GRU-Gated Attention Model for Neural Machine Translation
Neural machine translation (NMT) heavily relies on an attention network ...
read it
-
Recurrent Neural Machine Translation
The vanilla attention-based neural machine translation has achieved prom...
read it
-
BattRAE: Bidimensional Attention-Based Recursive Autoencoders for Learning Bilingual Phrase Embeddings
In this paper, we propose a bidimensional attention based recursive auto...
read it
-
Variational Neural Machine Translation
Models of neural machine translation are often from a discriminative fam...
read it
-
Variational Neural Discourse Relation Recognizer
Implicit discourse relation recognition is a crucial component for autom...
read it
-
Neural Discourse Relation Recognition with Semantic Memory
Humans comprehend the meanings and relations of discourses heavily relyi...
read it