b'Yi Zhu'

research

∙ 09/15/2023

Characterizing the temporal dynamics of universal speech representations for generalizable deepfake detection

Existing deepfake speech detection systems lack generalizability to unse...

0 Yi Zhu, et al. ∙

research

∙ 08/24/2023

Motion-Guided Masking for Spatiotemporal Representation Learning

Several recent works have directly extended the image masked autoencoder...

0 David Fan, et al. ∙

research

∙ 08/09/2023

MixReorg: Cross-Modal Mixed Patch Reorganization is a Good Mask Learner for Open-World Semantic Segmentation

Recently, semantic segmentation models trained with image-level text sup...

0 Kaixin Cai, et al. ∙

research

∙ 07/28/2023

Multilingual Lexical Simplification via Paraphrase Generation

Lexical simplification (LS) methods based on pretrained language models ...

0 Kang Liu, et al. ∙

research

∙ 07/19/2023

PreDiff: Precipitation Nowcasting with Latent Diffusion Models

Earth system forecasting has traditionally relied on complex physical mo...

0 Zhihan Gao, et al. ∙

research

∙ 07/06/2023

Temporal Difference Learning for High-Dimensional PIDEs with Jumps

In this paper, we propose a deep learning framework for solving high-dim...

0 Liwei Lu, et al. ∙

research

∙ 06/16/2023

Clickbait Detection via Large Language Models

Clickbait, which aims to induce users with some surprising and even thri...

5 Yi Zhu, et al. ∙

research

∙ 05/16/2023

Tailoring Instructions to Student's Learning Levels Boosts Knowledge Distillation

It has been commonly observed that a teacher model with superior perform...

2 Yuxin Ren, et al. ∙

research

∙ 05/14/2023

ParaLS: Lexical Substitution via Pretrained Paraphraser

Lexical substitution (LS) aims at finding appropriate substitutes for a ...

5 Jipeng Qiang, et al. ∙

research

∙ 04/26/2023

Towards Medical Artificial General Intelligence via Knowledge-Enhanced Multimodal Pretraining

Medical artificial general intelligence (MAGI) enables one foundation mo...

17 Bingqian Lin, et al. ∙

research

∙ 04/10/2023

Prompt Pre-Training with Twenty-Thousand Classes for Open-Vocabulary Visual Recognition

This work proposes POMP, a prompt pre-training method for vision-languag...

4 Shuhuai Ren, et al. ∙

research

∙ 04/05/2023

On the Impact of Voice Anonymization on Speech-Based COVID-19 Detection

With advances seen in deep learning, voice-based applications are burgeo...

4 Yi Zhu, et al. ∙

research

∙ 02/23/2023

Sentence Simplification via Large Language Models

Sentence Simplification aims to rephrase complex sentences into simpler ...

1 Yutao Feng, et al. ∙

research

∙ 02/13/2023

Actional Atomic-Concept Learning for Demystifying Vision-Language Navigation

Vision-Language Navigation (VLN) is a challenging task which requires an...

2 Bingqian Lin, et al. ∙

research

∙ 01/21/2023

SuperScaler: Supporting Flexible DNN Parallelization via a Unified Abstraction

With the growing model size, deep neural networks (DNN) are increasingly...

5 Zhiqi Lin, et al. ∙

research

∙ 12/21/2022

What Makes for Good Tokenizers in Vision Transformer?

The architecture of transformers, which recently witness booming applica...

9 Shengju Qian, et al. ∙

research

∙ 12/21/2022

SPT: Semi-Parametric Prompt Tuning for Multitask Prompted Learning

Pre-trained large language models can efficiently interpolate human-writ...

7 M Saiful Bari, et al. ∙

research

∙ 12/15/2022

Are Multimodal Models Robust to Image and Text Perturbations?

Multimodal image-text models have shown remarkable performance in the pa...

10 Jielin Qiu, et al. ∙

research

∙ 12/04/2022

CoupAlign: Coupling Word-Pixel with Sentence-Mask Alignments for Referring Image Segmentation

Referring image segmentation aims at localizing all pixels of the visual...

8 Zicheng Zhang, et al. ∙

research

∙ 11/02/2022

P^3OVD: Fine-grained Visual-Text Prompt-Driven Self-Training for Open-Vocabulary Object Detection

Inspired by the success of visual-language methods (VLMs) in zero-shot c...

10 Yanxin Long, et al. ∙

research

∙ 10/10/2022

Visual Prompt Tuning for Test-time Domain Adaptation

Models should have the ability to adapt to unseen data during test-time ...

8 Yunhe Gao, et al. ∙

research

∙ 09/06/2022

Weak Collocation Regression method: fast reveal hidden stochastic dynamics from high-dimensional aggregate data

Revealing hidden dynamics from the stochastic data is a challenging prob...

10 Liwei Lu, et al. ∙

research

∙ 07/12/2022

Earthformer: Exploring Space-Time Transformers for Earth System Forecasting

Conventionally, Earth system (e.g., weather and climate) forecasting rel...

31 Zhihan Gao, et al. ∙

research

∙ 07/11/2022

Unsupervised Semantic Segmentation with Self-supervised Object-centric Representations

In this paper, we show that recent advances in self-supervised feature l...

16 Andrii Zadaianchuk, et al. ∙

research

∙ 07/08/2022

Pixel-level Correspondence for Self-Supervised Learning from Video

While self-supervised learning has enabled effective representation lear...

1 Yash Sharma, et al. ∙

research

∙ 07/04/2022

Partial and Asymmetric Contrastive Learning for Out-of-Distribution Detection in Long-Tailed Recognition

Existing out-of-distribution (OOD) detection methods are typically bench...

6 Haotao Wang, et al. ∙

research

∙ 06/16/2022

MixGen: A New Multi-Modal Data Augmentation

Data augmentation is a necessity to enhance data efficiency in deep lear...

35 Xiaoshuai Hao, et al. ∙

research

∙ 05/31/2022

ADAPT: Vision-Language Navigation with Modality-Aligned Action Prompts

Vision-Language Navigation (VLN) is a challenging task that requires an ...

8 Bingqian Lin, et al. ∙

research

∙ 04/18/2022

Gated Multimodal Fusion with Contrastive Learning for Turn-taking Prediction in Human-robot Dialogue

Turn-taking, aiming to decide when the next speaker can start talking, i...

1 Jiudong Yang, et al. ∙

research

∙ 04/12/2022

Harnessing Interpretable Machine Learning for Origami Feature Design and Pattern Selection

Engineering design of origami systems is challenging because comparing d...

3 Yi Zhu, et al. ∙

research

∙ 03/31/2022

ImpDet: Exploring Implicit Fields for 3D Object Detection

Conventional 3D object detection approaches concentrate on bounding boxe...

12 Xuelin Qian, et al. ∙

research

∙ 03/24/2022

BigDetection: A Large-scale Benchmark for Improved Object Detector Pre-training

Multiple datasets and open challenges for object detection have been int...

5 Likun Cai, et al. ∙

research

∙ 03/22/2022

Building Robust Spoken Language Understanding by Cross Attention between Phoneme Sequence and ASR Hypothesis

Building Spoken Language Understanding (SLU) robust to Automatic Speech ...

4 Zexun Wang, et al. ∙

research

∙ 02/23/2022

Prompt-Learning for Short Text Classification

In the short text, the extreme short length, feature sparsity and high a...

1 Yi Zhu, et al. ∙

research

∙ 12/08/2021

Contrastive Instruction-Trajectory Learning for Vision-Language Navigation

The vision-language navigation (VLN) task requires an agent to reach a t...

4 Xiwen Liang, et al. ∙

research

∙ 10/28/2021

Blending Anti-Aliasing into Vision Transformer

The transformer architectures, based on self-attention mechanism and con...

19 Shengju Qian, et al. ∙

research

∙ 09/30/2021

CrossCLR: Cross-modal Contrastive Learning For Multi-modal Video Representations

Contrastive learning allows us to flexibly define powerful losses by con...

1 Mohammadreza Zolfaghari, et al. ∙

research

∙ 09/01/2021

An Unsupervised Method for Building Sentence Simplification Corpora in Multiple Languages

The availability of parallel sentence simplification (SS) is scarce for ...

0 Xinyu Lu, et al. ∙

research

∙ 08/12/2021

Progressive Coordinate Transforms for Monocular 3D Object Detection

Recognizing and localizing objects in the 3D space is a crucial ability ...

3 Li Wang, et al. ∙

research

∙ 07/29/2021

A Unified Efficient Pyramid Transformer for Semantic Segmentation

Semantic segmentation is a challenging problem due to difficulties in mo...

8 Fangrui Zhu, et al. ∙

research

∙ 07/23/2021

Adversarial Reinforced Instruction Attacker for Robust Vision-Language Navigation

Language instruction plays an essential role in the natural language gro...

5 Bingqian Lin, et al. ∙

research

∙ 07/19/2021

Optimal Resource Allocation for Serverless Queries

Optimizing resource allocation for analytical workloads is vital for red...

11 Anish Pimpley, et al. ∙

research

∙ 06/24/2021

AutoAdapt: Automated Segmentation Network Search for Unsupervised Domain Adaptation

Neural network-based semantic segmentation has achieved remarkable resul...

9 Xueqing Deng, et al. ∙

research

∙ 06/18/2021

Analyzing Adversarial Robustness of Deep Neural Networks in Pixel Space: a Semantic Perspective

The vulnerability of deep neural networks to adversarial examples, which...

15 Lina Wang, et al. ∙

research

∙ 03/31/2021

SOON: Scenario Oriented Object Navigation with Graph-based Exploration

The ability to navigate like a human towards a language-guided target fr...

8 Fengda Zhu, et al. ∙

research

∙ 03/11/2021

A phase field model for mass transport with semi-permeable interfaces

In this paper, a thermal-dynamical consistent model for mass transfer ac...

0 Yuzhe Qin, et al. ∙

research

∙ 02/19/2021

Rapid Multi-Physics Simulation for Electro-Thermal Origami Robotic Systems

Electro-thermally actuated origami provides a novel method for creating ...

0 Yi Zhu, et al. ∙

research

∙ 02/04/2021

SelfNorm and CrossNorm for Out-of-Distribution Robustness

Normalization techniques are crucial in stabilizing and accelerating the...

12 Zhiqiang Tang, et al. ∙

research

∙ 01/26/2021

Combining Deep Generative Models and Multi-lingual Pretraining for Semi-supervised Document Classification

Semi-supervised learning through deep generative models and multi-lingua...

4 Yi Zhu, et al. ∙

research

∙ 12/31/2020

A Closer Look at Few-Shot Crosslingual Transfer: Variance, Benchmarks and Baselines

We present a focused study of few-shot crosslingual transfer, a recently...

9 Mengjie Zhao, et al. ∙

Yi Zhu

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