Yichao Lu | DeepAI

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∙ 03/14/2023

Traffic4cast at NeurIPS 2022 – Predict Dynamics along Graph Edges from Sparse Node Data: Whole City Traffic and ETA from Stationary Vehicle Detectors

The global trends of urbanization and increased personal mobility force ...

0 Moritz Neun, et al. ∙

∙ 02/21/2023

An Efficient Two-stage Gradient Boosting Framework for Short-term Traffic State Estimation

Real-time traffic state estimation is essential for intelligent transpor...

0 Yichao Lu, et al. ∙

∙ 03/31/2022

Traffic4cast at NeurIPS 2021 – Temporal and Spatial Few-Shot Transfer Learning in Gridded Geo-Spatial Processes

The IARAI Traffic4cast competitions at NeurIPS 2019 and 2020 showed that...

4 Christian Eichenberger, et al. ∙

∙ 11/27/2021

Learning to Transfer for Traffic Forecasting via Multi-task Learning

Deep neural networks have demonstrated superior performance in short-ter...

0 Yichao Lu, et al. ∙

∙ 10/15/2020

Unsupervised Bitext Mining and Translation via Self-trained Contextual Embeddings

We describe an unsupervised method to create pseudo-parallel corpora for...

0 Phillip Keung, et al. ∙

∙ 10/06/2020

The Multilingual Amazon Reviews Corpus

We present the Multilingual Amazon Reviews Corpus (MARC), a large-scale ...

0 Phillip Keung, et al. ∙

∙ 04/30/2020

On the Evaluation of Contextual Embeddings for Zero-Shot Cross-Lingual Transfer Learning

Pre-trained multilingual contextual embeddings have demonstrated state-o...

0 Phillip Keung, et al. ∙

∙ 02/12/2020

Attentional Speech Recognition Models Misbehave on Out-of-domain Utterances

We discuss the problem of echographic transcription in autoregressive se...

0 Phillip Keung, et al. ∙

∙ 12/12/2019

Learning Effective Visual Relationship Detector on 1 GPU

We present our winning solution to the Open Images 2019 Visual Relations...

0 Yichao Lu, et al. ∙

∙ 10/25/2019

CrevNet: Conditionally Reversible Video Prediction

Applying resolution-preserving blocks is a common practice to maximize i...

0 Wei Yu, et al. ∙

∙ 08/31/2019

Adversarial Learning with Contextual Embeddings for Zero-resource Cross-lingual Classification and NER

Contextual word embeddings (e.g. GPT, BERT, ELMo, etc.) have demonstrate...

0 Phillip Keung, et al. ∙

∙ 04/23/2018

A neural interlingua for multilingual machine translation

We incorporate an explicit neural interlingua into a multilingual encode...

0 Yichao Lu, et al. ∙

∙ 03/28/2017

A practical approach to dialogue response generation in closed domains

We describe a prototype dialogue response generation model for the custo...

0 Yichao Lu, et al. ∙

∙ 06/26/2015

Finding Linear Structure in Large Datasets with Scalable Canonical Correlation Analysis

Canonical Correlation Analysis (CCA) is a widely used spectral technique...

0 Zhuang Ma, et al. ∙

∙ 07/16/2014

Large scale canonical correlation analysis with iterative least squares

Canonical Correlation Analysis (CCA) is a widely used statistical tool w...

0 Yichao Lu, et al. ∙

∙ 05/15/2014

Fast Ridge Regression with Randomized Principal Component Analysis and Gradient Descent

We propose a new two stage algorithm LING for large scale regression pro...

0 Yichao Lu, et al. ∙

∙ 09/25/2012

Optimal Weighting of Multi-View Data with Low Dimensional Hidden States

In Natural Language Processing (NLP) tasks, data often has the following...

0 Yichao Lu, et al. ∙

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