Yu Cheng

Fine-grained Iterative Attention Network for TemporalLanguage Localization in Videos

Temporal language localization in videos aims to ground one video segmen...
08/06/2020 ∙ by Xiaoye Qu, et al. ∙ 0 ∙ share

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Graph Optimal Transport for Cross-Domain Alignment

Cross-domain alignment between two sets of entities (e.g., objects in an...
06/26/2020 ∙ by Liqun Chen, et al. ∙ 9 ∙ share

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Adaptive Learning Rates with Maximum Variation Averaging

Adaptive gradient methods such as RMSProp and Adam use exponential movin...
06/21/2020 ∙ by Chen Zhu, et al. ∙ 19 ∙ share

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Large-Scale Adversarial Training for Vision-and-Language Representation Learning

We present VILLA, the first known effort on large-scale adversarial trai...
06/11/2020 ∙ by Zhe Gan, et al. ∙ 6 ∙ share

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Sparsification of Balanced Directed Graphs

Sparsification, where the cut values of an input graph are approximately...
06/02/2020 ∙ by Yu Cheng, et al. ∙ 0 ∙ share

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Behind the Scene: Revealing the Secrets of Pre-trained Vision-and-Language Models

Recent Transformer-based large-scale pre-trained models have revolutioni...
05/15/2020 ∙ by Jize Cao, et al. ∙ 0 ∙ share

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Low-shot Object Detection via Classification Refinement

This work aims to address the problem of low-shot object detection, wher...
05/06/2020 ∙ by Yiting Li, et al. ∙ 2 ∙ share

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High-Dimensional Robust Mean Estimation via Gradient Descent

We study the problem of high-dimensional robust mean estimation in the p...
05/04/2020 ∙ by Yu Cheng, et al. ∙ 0 ∙ share

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HERO: Hierarchical Encoder for Video+Language Omni-representation Pre-training

We present HERO, a Hierarchical EncodeR for Omni-representation learning...
05/01/2020 ∙ by Linjie Li, et al. ∙ 3 ∙ share

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Contextual Text Style Transfer

We introduce a new task, Contextual Text Style Transfer - translating a ...
04/30/2020 ∙ by Yu Cheng, et al. ∙ 0 ∙ share

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APo-VAE: Text Generation in Hyperbolic Space

Natural language often exhibits inherent hierarchical structure ingraine...
04/30/2020 ∙ by Shuyang Dai, et al. ∙ 0 ∙ share

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Adversarial Robustness: From Self-Supervised Pre-Training to Fine-Tuning

Pretrained models from self-supervision are prevalently used in fine-tun...
03/28/2020 ∙ by Tianlong Chen, et al. ∙ 11 ∙ share

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BachGAN: High-Resolution Image Synthesis from Salient Object Layout

We propose a new task towards more practical application for image gener...
03/26/2020 ∙ by Yandong Li, et al. ∙ 7 ∙ share

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VIOLIN: A Large-Scale Dataset for Video-and-Language Inference

We introduce a new task, Video-and-Language Inference, for joint multimo...
03/25/2020 ∙ by Jingzhou Liu, et al. ∙ 17 ∙ share

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Optimizing Non-Orthogonal Multiple Access in Random Access Networks

Non-orthogonal multiple access (NOMA) has been considered as a promising...
02/14/2020 ∙ by Ziru Chen, et al. ∙ 0 ∙ share

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Constrained Deep Reinforcement Learning for Energy Sustainable Multi-UAV based Random Access IoT Networks with NOMA

In this paper, we apply the Non-Orthogonal Multiple Access (NOMA) techni...
01/31/2020 ∙ by Sami Khairy, et al. ∙ 0 ∙ share

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Investigation of Numerical Dispersion with Time Step of The FDTD Methods: Avoiding Erroneous Conclusions

It is widely thought that small time steps lead to small numerical error...
01/29/2020 ∙ by Yu Cheng, et al. ∙ 0 ∙ share

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Topology Aware Deep Learning for Wireless Network Optimization

Data-driven machine learning approaches have recently been proposed to f...
12/18/2019 ∙ by Shuai Zhang, et al. ∙ 0 ∙ share

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Bridging Disentanglement with Independence and Conditional Independence via Mutual Information for Representation Learning

Existing works on disentangled representation learning usually lie on a ...
11/25/2019 ∙ by Xiaojiang Yang, et al. ∙ 12 ∙ share

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INSET: Sentence Infilling with Inter-sentential Generative Pre-training

Missing sentence generation (or sentence infilling) fosters a wide range...
11/10/2019 ∙ by Yichen Huang, et al. ∙ 0 ∙ share

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Distilling the Knowledge of BERT for Text Generation

Large-scale pre-trained language model, such as BERT, has recently achie...
11/10/2019 ∙ by Yen-Chun Chen, et al. ∙ 0 ∙ share

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Discourse-Aware Neural Extractive Model for Text Summarization

Recently BERT has been adopted in state-of-the-art text summarization mo...
10/30/2019 ∙ by Jiacheng Xu, et al. ∙ 0 ∙ share

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Tell-the-difference: Fine-grained Visual Descriptor via a Discriminating Referee

In this paper, we investigate a novel problem of telling the difference ...
10/14/2019 ∙ by Shuangjie Xu, et al. ∙ 0 ∙ share

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Meta Module Network for Compositional Visual Reasoning

There are two main lines of research on visual reasoning: neural module ...
10/08/2019 ∙ by Wenhu Chen, et al. ∙ 0 ∙ share

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FreeLB: Enhanced Adversarial Training for Language Understanding

Adversarial training, which minimizes the maximal risk for label-preserv...
09/25/2019 ∙ by Chen Zhu, et al. ∙ 0 ∙ share

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UNITER: Learning UNiversal Image-TExt Representations

Joint image-text embedding is the bedrock for most Vision-and-Language (...
09/25/2019 ∙ by Yen-Chun Chen, et al. ∙ 0 ∙ share

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What Makes A Good Story? Designing Composite Rewards for Visual Storytelling

Previous storytelling approaches mostly focused on optimizing traditiona...
09/11/2019 ∙ by Junjie Hu, et al. ∙ 0 ∙ share

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Contrastively Smoothed Class Alignment for Unsupervised Domain Adaptation

Recent unsupervised approaches to domain adaptation primarily focus on m...
09/11/2019 ∙ by Shuyang Dai, et al. ∙ 0 ∙ share

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Domain Adaptive Text Style Transfer

Text style transfer without parallel data has achieved some practical su...
08/25/2019 ∙ by Dianqi Li, et al. ∙ 0 ∙ share

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Patient Knowledge Distillation for BERT Model Compression

Pre-trained language models such as BERT have proven to be highly effect...
08/25/2019 ∙ by Siqi Sun, et al. ∙ 0 ∙ share

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Attend To Count: Crowd Counting with Adaptive Capacity Multi-scale CNNs

Crowd counting is a challenging task due to the large variations in crow...
08/07/2019 ∙ by Zhikang Zou, et al. ∙ 4 ∙ share

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Mixed-Supervised Dual-Network for Medical Image Segmentation

Deep learning-based medical image segmentation models usually require la...
07/24/2019 ∙ by Duo Wang, et al. ∙ 9 ∙ share

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EnlightenGAN: Deep Light Enhancement without Paired Supervision

Deep learning-based methods have achieved remarkable success in image re...
06/17/2019 ∙ by Yifan Jiang, et al. ∙ 26 ∙ share

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Faster Algorithms for High-Dimensional Robust Covariance Estimation

We study the problem of estimating the covariance matrix of a high-dimen...
06/11/2019 ∙ by Yu Cheng, et al. ∙ 0 ∙ share

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Group Fairness in Committee Selection

In this paper, we study fairness in committee selection problems. We con...
05/11/2019 ∙ by Yu Cheng, et al. ∙ 0 ∙ share

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A Hybrid Approach with Optimization and Metric-based Meta-Learner for Few-Shot Learning

Few-shot learning aims to learn classifiers for new classes with only a ...
04/04/2019 ∙ by Duo Wang, et al. ∙ 0 ∙ share

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Relation-aware Graph Attention Network for Visual Question Answering

In order to answer semantically-complicated questions about an image, a ...
03/29/2019 ∙ by Linjie Li, et al. ∙ 0 ∙ share

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POP-CNN: Predicting Odor's Pleasantness with Convolutional Neural Network

Predicting odor's pleasantness simplifies the evaluation of odors and ha...
03/19/2019 ∙ by Danli Wu, et al. ∙ 0 ∙ share

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Measuring Patient Similarities via a Deep Architecture with Medical Concept Embedding

Evaluating the clinical similarities between pairwise patients is a fund...
02/09/2019 ∙ by Zihao Zhu, et al. ∙ 0 ∙ share

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Multi-step Reasoning via Recurrent Dual Attention for Visual Dialog

This paper presents Recurrent Dual Attention Network (ReDAN) for visual ...
02/01/2019 ∙ by Zhe Gan, et al. ∙ 0 ∙ share

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Diffie-Hellman in the Air: A Link Layer Approach for In-Band Wireless Pairing

Key establishment is one fundamental issue in wireless security. The wid...
01/28/2019 ∙ by Wenlong Shen, et al. ∙ 0 ∙ share

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Few-shot Learning with Meta Metric Learners

Few-shot Learning aims to learn classifiers for new classes with only a ...
01/26/2019 ∙ by Yu Cheng, et al. ∙ 8 ∙ share

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Deep Multimodality Model for Multi-task Multi-view Learning

Many real-world problems exhibit the coexistence of multiple types of he...
01/25/2019 ∙ by Lecheng Zheng, et al. ∙ 0 ∙ share

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Energy Efficient Massive MIMO through Distributed Precoder Design

This paper presents an energy-efficient downlink precoding scheme with t...
12/25/2018 ∙ by Shuai Zhang, et al. ∙ 0 ∙ share

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Sequential Attention GAN for Interactive Image Editing via Dialogue

In this paper, we introduce a new task - interactive image editing via c...
12/20/2018 ∙ by Yu Cheng, et al. ∙ 0 ∙ share

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A Unified Sampling and Scheduling Approach for Status Update in Multiaccess Wireless Networks

Information source sampling and update scheduling have been treated sepa...
12/13/2018 ∙ by Zhiyuan Jiang, et al. ∙ 0 ∙ share

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StoryGAN: A Sequential Conditional GAN for Story Visualization

In this work we propose a new task called Story Visualization. Given a m...
12/06/2018 ∙ by Yitong Li, et al. ∙ 0 ∙ share

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High-Dimensional Robust Mean Estimation in Nearly-Linear Time

We study the fundamental problem of high-dimensional mean estimation in ...
11/23/2018 ∙ by Yu Cheng, et al. ∙ 0 ∙ share

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Bayesian CycleGAN via Marginalizing Latent Sampling

Recent techniques built on Generative Adversarial Networks (GANs) like C...
11/19/2018 ∙ by Haoran You, et al. ∙ 0 ∙ share

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Throughput Analysis and Energy Efficiency Optimization for Standalone LTE-U Networks with Randomly Delayed CSI

To coexist with Wi-Fi friendly, a standalone long-term evolution network...
10/12/2018 ∙ by Hangguan Shan, et al. ∙ 0 ∙ share

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Yu Cheng

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