b'Yu Cheng'

research

∙ 07/26/2022

Learning Visual Representation from Modality-Shared Contrastive Language-Image Pre-training

Large-scale multi-modal contrastive pre-training has demonstrated great ...

Haoxuan You, et al. ∙

research

∙ 07/12/2022

Backdoor Attacks on Crowd Counting

Crowd counting is a regression task that estimates the number of people ...

Yuhua Sun, et al. ∙

research

∙ 06/01/2022

Towards the Development of A Three-Dimensional SBP-SAT FDTD Method: Theory and Validation

To enhance the scalability and performance of the traditional finite-dif...

Yu Cheng, et al. ∙

research

∙ 05/23/2022

Local Byte Fusion for Neural Machine Translation

Subword tokenization schemes are the dominant technique used in current ...

Makesh Narsimhan Sreedhar, et al. ∙

research

∙ 05/16/2022

Efficient Algorithms for Planning with Participation Constraints

We consider the problem of planning with participation constraints intro...

Hanrui Zhang, et al. ∙

research

∙ 05/03/2022

SemAttack: Natural Textual Attacks via Different Semantic Spaces

Recent studies show that pre-trained language models (LMs) are vulnerabl...

Boxin Wang, et al. ∙

research

∙ 05/02/2022

Dual networks based 3D Multi-Person Pose Estimation from Monocular Video

Monocular 3D human pose estimation has made progress in recent years. Mo...

Yu Cheng, et al. ∙

research

∙ 03/12/2022

The Principle of Diversity: Training Stronger Vision Transformers Calls for Reducing All Levels of Redundancy

Vision transformers (ViTs) have gained increasing popularity as they are...

Tianlong Chen, et al. ∙

research

∙ 02/22/2022

A Deep Reinforcement Learning based Approach for NOMA-based Random Access Network with Truncated Channel Inversion Power Control

As a main use case of 5G and Beyond wireless network, the ever-increasin...

Ziru Chen, et al. ∙

research

∙ 02/22/2022

A SBP-SAT FDTD Subgridding Method Using Staggered Yee's Grids Without Modifying Field Components

A summation-by-parts simultaneous approximation term (SBP-SAT) finite-di...

Yuhui Wang, et al. ∙

research

∙ 01/14/2022

Unsupervised Temporal Video Grounding with Deep Semantic Clustering

Temporal video grounding (TVG) aims to localize a target segment in a vi...

Daizong Liu, et al. ∙

research

∙ 01/03/2022

Memory-Guided Semantic Learning Network for Temporal Sentence Grounding

Temporal sentence grounding (TSG) is crucial and fundamental for video u...

Daizong Liu, et al. ∙

research

∙ 11/04/2021

Adversarial GLUE: A Multi-Task Benchmark for Robustness Evaluation of Language Models

Large-scale pre-trained language models have achieved tremendous success...

Boxin Wang, et al. ∙

research

∙ 10/30/2021

DSEE: Dually Sparsity-embedded Efficient Tuning of Pre-trained Language Models

Gigantic pre-trained models have become central to natural language proc...

Xuxi Chen, et al. ∙

research

∙ 10/18/2021

A Stable FDTD Subgridding Scheme with SBP-SAT for Transient Electromagnetic Analysis

We proposed a provably stable FDTD subgridding method for accurate and e...

Yu Cheng, et al. ∙

research

∙ 10/16/2021

A Good Prompt Is Worth Millions of Parameters? Low-resource Prompt-based Learning for Vision-Language Models

Large pretrained vision-language (VL) models can learn a new task with a...

Woojeong Jin, et al. ∙

research

∙ 10/16/2021

What do Compressed Large Language Models Forget? Robustness Challenges in Model Compression

Recent works have focused on compressing pre-trained language models (PL...

Mengnan Du, et al. ∙

research

∙ 09/23/2021

Outlier-Robust Sparse Estimation via Non-Convex Optimization

We explore the connection between outlier-robust high-dimensional statis...

Yu Cheng, et al. ∙

research

∙ 06/08/2021

VALUE: A Multi-Task Benchmark for Video-and-Language Understanding Evaluation

Most existing video-and-language (VidL) research focuses on a single dat...

Linjie Li, et al. ∙

research

∙ 06/08/2021

Chasing Sparsity in Vision Transformers: An End-to-End Exploration

Vision transformers (ViTs) have recently received explosive popularity, ...

Tianlong Chen, et al. ∙

research

∙ 05/12/2021

Robust Learning of Fixed-Structure Bayesian Networks in Nearly-Linear Time

We study the problem of learning Bayesian networks where an ϵ-fraction o...

Yu Cheng, et al. ∙

research

∙ 04/23/2021

Playing Lottery Tickets with Vision and Language

Large-scale transformer-based pre-training has recently revolutionized v...

Zhe Gan, et al. ∙

research

∙ 04/12/2021

Automated Mechanism Design for Classification with Partial Verification

We study the problem of automated mechanism design with partial verifica...

Hanrui Zhang, et al. ∙

research

∙ 04/01/2021

UC2: Universal Cross-lingual Cross-modal Vision-and-Language Pre-training

Vision-and-language pre-training has achieved impressive success in lear...

Mingyang Zhou, et al. ∙

research

∙ 04/01/2021

CUPID: Adaptive Curation of Pre-training Data for Video-and-Language Representation Learning

This work concerns video-language pre-training and representation learni...

Luowei Zhou, et al. ∙

research

∙ 03/30/2021

The Elastic Lottery Ticket Hypothesis

Lottery Ticket Hypothesis raises keen attention to identifying sparse tr...

Xiaohan Chen, et al. ∙

research

∙ 03/22/2021

Adversarial Feature Augmentation and Normalization for Visual Recognition

Recent advances in computer vision take advantage of adversarial data au...

Tianlong Chen, et al. ∙

research

∙ 03/22/2021

Context-aware Biaffine Localizing Network for Temporal Sentence Grounding

This paper addresses the problem of temporal sentence grounding (TSG), w...

Daizong Liu, et al. ∙

research

∙ 03/12/2021

Few-Shot Text Classification with Triplet Networks, Data Augmentation, and Curriculum Learning

Few-shot text classification is a fundamental NLP task in which a model ...

Jason Wei, et al. ∙

research

∙ 02/28/2021

Ultra-Data-Efficient GAN Training: Drawing A Lottery Ticket First, Then Training It Toughly

Training generative adversarial networks (GANs) with limited data genera...

Tianlong Chen, et al. ∙

research

∙ 12/31/2020

EarlyBERT: Efficient BERT Training via Early-bird Lottery Tickets

Deep, heavily overparameterized language models such as BERT, XLNet and ...

Xiaohan Chen, et al. ∙

research

∙ 12/18/2020

Fair for All: Best-effort Fairness Guarantees for Classification

Standard approaches to group-based notions of fairness, such as parity a...

Anilesh K. Krishnaswamy, et al. ∙

research

∙ 11/12/2020

DSAM: A Distance Shrinking with Angular Marginalizing Loss for High Performance Vehicle Re-identificatio

Vehicle Re-identification (ReID) is an important yet challenging problem...

Jiangtao Kong, et al. ∙

research

∙ 10/15/2020

Object Tracking Using Spatio-Temporal Future Prediction

Occlusion is a long-standing problem that causes many modern tracking me...

Yuan Liu, et al. ∙

research

∙ 10/07/2020

Cross-Thought for Sentence Encoder Pre-training

In this paper, we propose Cross-Thought, a novel approach to pre-trainin...

Shuohang Wang, et al. ∙

research

∙ 10/06/2020

Multi-Fact Correction in Abstractive Text Summarization

Pre-trained neural abstractive summarization systems have dominated extr...

Yue Dong, et al. ∙

research

∙ 10/05/2020

InfoBERT: Improving Robustness of Language Models from An Information Theoretic Perspective

Large-scale language models such as BERT have achieved state-of-the-art ...

Boxin Wang, et al. ∙

research

∙ 10/03/2020

Efficient Robust Training via Backward Smoothing

Adversarial training is so far the most effective strategy in defending ...

Jinghui Chen, et al. ∙

research

∙ 09/29/2020

Contrastive Distillation on Intermediate Representations for Language Model Compression

Existing language model compression methods mostly use a simple L2 loss ...

Siqi Sun, et al. ∙

research

∙ 09/13/2020

Cluster-Former: Clustering-based Sparse Transformer for Long-Range Dependency Encoding

Transformer has become ubiquitous in the deep learning field. One of the...

Shuohang Wang, et al. ∙

research

∙ 08/06/2020

Fine-grained Iterative Attention Network for TemporalLanguage Localization in Videos

Temporal language localization in videos aims to ground one video segmen...

Xiaoye Qu, et al. ∙

research

∙ 06/26/2020

Graph Optimal Transport for Cross-Domain Alignment

Cross-domain alignment between two sets of entities (e.g., objects in an...

Liqun Chen, et al. ∙

research

∙ 06/21/2020

Adaptive Learning Rates with Maximum Variation Averaging

Adaptive gradient methods such as RMSProp and Adam use exponential movin...

Chen Zhu, et al. ∙

research

∙ 06/11/2020

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

We present VILLA, the first known effort on large-scale adversarial trai...

Zhe Gan, et al. ∙

research

∙ 06/02/2020

Sparsification of Balanced Directed Graphs

Sparsification, where the cut values of an input graph are approximately...

Yu Cheng, et al. ∙

research

∙ 05/15/2020

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

Recent Transformer-based large-scale pre-trained models have revolutioni...

Jize Cao, et al. ∙

research

∙ 05/06/2020

Low-shot Object Detection via Classification Refinement

This work aims to address the problem of low-shot object detection, wher...

Yiting Li, et al. ∙

research

∙ 05/04/2020

High-Dimensional Robust Mean Estimation via Gradient Descent

We study the problem of high-dimensional robust mean estimation in the p...

Yu Cheng, et al. ∙

research

∙ 05/01/2020

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

We present HERO, a Hierarchical EncodeR for Omni-representation learning...

Linjie Li, et al. ∙

research

∙ 04/30/2020

Contextual Text Style Transfer

We introduce a new task, Contextual Text Style Transfer - translating a ...

Yu Cheng, et al. ∙

Yu Cheng

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