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09/09/2023
MADLAD-400: A Multilingual And Document-Level Large Audited Dataset
We introduce MADLAD-400, a manually audited, general domain 3T token mon...
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05/29/2023
InstructEdit: Improving Automatic Masks for Diffusion-based Image Editing With User Instructions
Recent works have explored text-guided image editing using diffusion mod...
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05/23/2023
When Does Monolingual Data Help Multilingual Translation: The Role of Domain and Model Scale
Multilingual machine translation (MMT), trained on a mixture of parallel...
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05/02/2023
SLTUNET: A Simple Unified Model for Sign Language Translation
Despite recent successes with neural models for sign language translatio...
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03/29/2023
MDP: A Generalized Framework for Text-Guided Image Editing by Manipulating the Diffusion Path
Image generation using diffusion can be controlled in multiple ways. In ...
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02/21/2023
Efficient CTC Regularization via Coarse Labels for End-to-End Speech Translation
For end-to-end speech translation, regularizing the encoder with the Con...
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01/17/2023
Prompting Large Language Model for Machine Translation: A Case Study
Research on prompting has shown excellent performance with little or eve...
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10/24/2022
Investigating Neuron Disturbing in Fusing Heterogeneous Neural Networks
Fusing deep learning models trained on separately located clients into a...
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06/09/2022
Revisiting End-to-End Speech-to-Text Translation From Scratch
End-to-end (E2E) speech-to-text translation (ST) often depends on pretra...
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05/27/2022
3DILG: Irregular Latent Grids for 3D Generative Modeling
We propose a new representation for encoding 3D shapes as neural fields....
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02/04/2022
Data Scaling Laws in NMT: The Effect of Noise and Architecture
In this work, we study the effect of varying the architecture and traini...
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02/01/2022
Examining Scaling and Transfer of Language Model Architectures for Machine Translation
Natural language understanding and generation models follow one of the t...
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09/21/2021
Multilingual Document-Level Translation Enables Zero-Shot Transfer From Sentences to Documents
Document-level neural machine translation (DocNMT) delivers coherent tra...
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09/16/2021
Intuitive and Efficient Roof Modeling for Reconstruction and Synthesis
We propose a novel and flexible roof modeling approach that can be used ...
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06/01/2021
Exploring Dynamic Selection of Branch Expansion Orders for Code Generation
Due to the great potential in facilitating software development, code ge...
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04/14/2021
Sparse Attention with Linear Units
Recently, it has been argued that encoder-decoder models can be made mor...
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10/27/2020
Fast Interleaved Bidirectional Sequence Generation
Independence assumptions during sequence generation can speed up inferen...
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10/16/2020
Adaptive Feature Selection for End-to-End Speech Translation
Information in speech signals is not evenly distributed, making it an ad...
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10/16/2020
Training Data Generating Networks: Linking 3D Shapes and Few-Shot Classification
We propose a novel 3d shape representation for 3d shape reconstruction f...
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04/30/2020
Explicit Representation of the Translation Space: Automatic Paraphrasing for Machine Translation Evaluation
Following previous work on automatic paraphrasing, we assess the feasibi...
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04/24/2020
Improving Massively Multilingual Neural Machine Translation and Zero-Shot Translation
Massively multilingual models for neural machine translation (NMT) are t...
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04/24/2020
On Sparsifying Encoder Outputs in Sequence-to-Sequence Models
Sequence-to-sequence models usually transfer all encoder outputs to the ...
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11/30/2019
Point Cloud Instance Segmentation using Probabilistic Embeddings
In this paper we propose a new framework for point cloud instance segmen...
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10/16/2019
Root Mean Square Layer Normalization
Layer normalization (LayerNorm) has been successfully applied to various...
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08/29/2019
Improving Deep Transformer with Depth-Scaled Initialization and Merged Attention
The general trend in NLP is towards increasing model capacity and perfor...
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05/30/2019
A Lightweight Recurrent Network for Sequence Modeling
Recurrent networks have achieved great success on various sequential tas...
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05/28/2019
Revisiting Low-Resource Neural Machine Translation: A Case Study
It has been shown that the performance of neural machine translation (NM...
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10/30/2018
Simplifying Neural Machine Translation with Addition-Subtraction Twin-Gated Recurrent Networks
In this paper, we propose an additionsubtraction twin-gated recurrent ne...
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07/24/2018
Otem&Utem: Over- and Under-Translation Evaluation Metric for NMT
Although neural machine translation(NMT) yields promising translation pe...
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05/02/2018
Accelerating Neural Transformer via an Average Attention Network
With parallelizable attention networks, the neural Transformer is very f...
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01/16/2018
Variational Recurrent Neural Machine Translation
Partially inspired by successful applications of variational recurrent n...
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04/27/2017
A GRU-Gated Attention Model for Neural Machine Translation
Neural machine translation (NMT) heavily relies on an attention network ...
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07/29/2016
Recurrent Neural Machine Translation
The vanilla attention-based neural machine translation has achieved prom...
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05/25/2016
BattRAE: Bidimensional Attention-Based Recursive Autoencoders for Learning Bilingual Phrase Embeddings
In this paper, we propose a bidimensional attention based recursive auto...
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05/25/2016
Variational Neural Machine Translation
Models of neural machine translation are often from a discriminative fam...
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03/12/2016
Variational Neural Discourse Relation Recognizer
Implicit discourse relation recognition is a crucial component for autom...
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03/12/2016
