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DOCENT: Learning Self-Supervised Entity Representations from Large Document Collections


Feb 26, 2021
Yury Zemlyanskiy, Sudeep Gandhe, Ruining He, Bhargav Kanagal, Anirudh Ravula, Juraj Gottweis, Fei Sha, Ilya Eckstein

* To appear in the proceedings of EACL 2021 

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A Hierarchical Multi-Modal Encoder for Moment Localization in Video Corpus


Nov 24, 2020
Bowen Zhang, Hexiang Hu, Joonseok Lee, Ming Zhao, Sheide Chammas, Vihan Jain, Eugene Ie, Fei Sha


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AQuaMuSe: Automatically Generating Datasets for Query-Based Multi-Document Summarization


Oct 23, 2020
Sayali Kulkarni, Sheide Chammas, Wan Zhu, Fei Sha, Eugene Ie


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Learning to Represent Image and Text with Denotation Graph


Oct 06, 2020
Bowen Zhang, Hexiang Hu, Vihan Jain, Eugene Ie, Fei Sha

* to appear at EMNLP 2020 

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Drinking from a Firehose: Continual Learning with Web-scale Natural Language


Jul 18, 2020
Hexiang Hu, Ozan Sener, Fei Sha, Vladlen Koltun

* Source Code: https://github.com/firehose-dataset/congrad 

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BabyWalk: Going Farther in Vision-and-Language Navigation by Taking Baby Steps


Jun 14, 2020
Wang Zhu, Hexiang Hu, Jiacheng Chen, Zhiwei Deng, Vihan Jain, Eugene Ie, Fei Sha

* Accepted by ACL 2020 

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Uncertainty Estimation with Infinitesimal Jackknife, Its Distribution and Mean-Field Approximation


Jun 13, 2020
Zhiyun Lu, Eugene Ie, Fei Sha


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AI-QMIX: Attention and Imagination for Dynamic Multi-Agent Reinforcement Learning


Jun 07, 2020
Shariq Iqbal, Christian A. Schroeder de Witt, Bei Peng, Wendelin Böhmer, Shimon Whiteson, Fei Sha


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Visual Storytelling via Predicting Anchor Word Embeddings in the Stories


Jan 13, 2020
Bowen Zhang, Hexiang Hu, Fei Sha

* Accepted by ICCV19 CLVL workshop: 3rd Workshop on Closing the Loop Between Vision and Language 

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Decoupling Adaptation from Modeling with Meta-Optimizers for Meta Learning


Oct 30, 2019
Sébastien M. R. Arnold, Shariq Iqbal, Fei Sha

* Submitted to ICLR19 

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Topic Augmented Generator for Abstractive Summarization


Aug 19, 2019
Melissa Ailem, Bowen Zhang, Fei Sha


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Neural Theorem Provers Do Not Learn Rules Without Exploration


Jun 17, 2019
Michiel de Jong, Fei Sha


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Learning Classifier Synthesis for Generalized Few-Shot Learning


Jun 07, 2019
Han-Jia Ye, Hexiang Hu, De-Chuan Zhan, Fei Sha


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Amortized Inference of Variational Bounds for Learning Noisy-OR


Jun 06, 2019
Yiming Yan, Melissa Ailem, Fei Sha


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Coordinated Exploration via Intrinsic Rewards for Multi-Agent Reinforcement Learning


May 28, 2019
Shariq Iqbal, Fei Sha


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Synthesized Policies for Transfer and Adaptation across Tasks and Environments


Apr 05, 2019
Hexiang Hu, Liyu Chen, Boqing Gong, Fei Sha

* presented at NeurIPS 2019 as a Spotlight 

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Hyper-parameter Tuning under a Budget Constraint


Feb 01, 2019
Zhiyun Lu, Chao-Kai Chiang, Fei Sha


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Learning Embedding Adaptation for Few-Shot Learning


Dec 16, 2018
Han-Jia Ye, Hexiang Hu, De-Chuan Zhan, Fei Sha


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Classifier and Exemplar Synthesis for Zero-Shot Learning


Dec 16, 2018
Soravit Changpinyo, Wei-Lun Chao, Boqing Gong, Fei Sha

* Extended version of arXiv:1603.00550 (CVPR 2016) and arXiv:1605.08151 (ICCV 2017) 

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Cross-Modal and Hierarchical Modeling of Video and Text


Oct 16, 2018
Bowen Zhang, Hexiang Hu, Fei Sha

* Accepted by ECCV 2018 

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Aiming to Know You Better Perhaps Makes Me a More Engaging Dialogue Partner


Aug 21, 2018
Yury Zemlyanskiy, Fei Sha

* To appear in the proceedings of Conference on Computational Natural Language Learning, CoNLL 2018 

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Multi-Task Learning for Sequence Tagging: An Empirical Study


Aug 13, 2018
Soravit Changpinyo, Hexiang Hu, Fei Sha

* In Proceedings of the 27th International Conference on Computational Linguistics (COLING 2018) 

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Cross-Dataset Adaptation for Visual Question Answering


Jun 10, 2018
Wei-Lun Chao, Hexiang Hu, Fei Sha

* Accepted at CVPR 2018 

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Learning Answer Embeddings for Visual Question Answering


Jun 10, 2018
Hexiang Hu, Wei-Lun Chao, Fei Sha

* Accepted at CVPR 2018 

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Being Negative but Constructively: Lessons Learnt from Creating Better Visual Question Answering Datasets


Jun 10, 2018
Wei-Lun Chao, Hexiang Hu, Fei Sha

* Accepted for Oral Presentation at NAACL-HLT 2018 

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Predicting Visual Exemplars of Unseen Classes for Zero-Shot Learning


Aug 20, 2017
Soravit Changpinyo, Wei-Lun Chao, Fei Sha

* ICCV2017 camera-ready 

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FastMask: Segment Multi-scale Object Candidates in One Shot


Apr 11, 2017
Hexiang Hu, Shiyi Lan, Yuning Jiang, Zhimin Cao, Fei Sha

* Accepted as CVPR 2017 

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