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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 ...
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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...
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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...
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11/27/2021
Learning to Transfer for Traffic Forecasting via Multi-task Learning
Deep neural networks have demonstrated superior performance in short-ter...
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10/15/2020
Unsupervised Bitext Mining and Translation via Self-trained Contextual Embeddings
We describe an unsupervised method to create pseudo-parallel corpora for...
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10/06/2020
The Multilingual Amazon Reviews Corpus
We present the Multilingual Amazon Reviews Corpus (MARC), a large-scale ...
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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...
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02/12/2020
Attentional Speech Recognition Models Misbehave on Out-of-domain Utterances
We discuss the problem of echographic transcription in autoregressive se...
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12/12/2019
Learning Effective Visual Relationship Detector on 1 GPU
We present our winning solution to the Open Images 2019 Visual Relations...
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10/25/2019
CrevNet: Conditionally Reversible Video Prediction
Applying resolution-preserving blocks is a common practice to maximize i...
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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...
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04/23/2018
A neural interlingua for multilingual machine translation
We incorporate an explicit neural interlingua into a multilingual encode...
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03/28/2017
A practical approach to dialogue response generation in closed domains
We describe a prototype dialogue response generation model for the custo...
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06/26/2015
Finding Linear Structure in Large Datasets with Scalable Canonical Correlation Analysis
Canonical Correlation Analysis (CCA) is a widely used spectral technique...
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07/16/2014
Large scale canonical correlation analysis with iterative least squares
Canonical Correlation Analysis (CCA) is a widely used statistical tool w...
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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...
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09/25/2012
