b'Jun Zhu'

research

∙ 09/21/2023

How Robust is Google's Bard to Adversarial Image Attacks?

Multimodal Large Language Models (MLLMs) that integrate text and other m...

0 Yinpeng Dong, et al. ∙

research

∙ 09/05/2023

SeisCLIP: A seismology foundation model pre-trained by multi-modal data for multi-purpose seismic feature extraction

Training specific deep learning models for particular tasks is common ac...

0 Xu Si, et al. ∙

research

∙ 09/04/2023

Memory Efficient Optimizers with 4-bit States

Optimizer states are a major source of memory consumption for training n...

0 Bingrui Li, et al. ∙

research

∙ 08/29/2023

Heterogeneous Multi-Task Gaussian Cox Processes

This paper presents a novel extension of multi-task Gaussian Cox process...

0 Feng Zhou, et al. ∙

research

∙ 08/29/2023

Incorporating Neuro-Inspired Adaptability for Continual Learning in Artificial Intelligence

Continual learning aims to empower artificial intelligence (AI) with str...

0 Liyuan Wang, et al. ∙

research

∙ 08/21/2023

Towards Accelerated Model Training via Bayesian Data Selection

Mislabeled, duplicated, or biased data in real-world scenarios can lead ...

0 Zhijie Deng, et al. ∙

research

∙ 06/24/2023

Multi-task multi-station earthquake monitoring: An all-in-one seismic Phase picking, Location, and Association Network (PLAN)

Earthquake monitoring is vital for understanding the physics of earthqua...

0 Xu Si, et al. ∙

research

∙ 06/21/2023

Training Transformers with 4-bit Integers

Quantizing the activation, weight, and gradient to 4-bit is promising to...

0 Haocheng Xi, et al. ∙

research

∙ 06/18/2023

Stabilizing GANs' Training with Brownian Motion Controller

The training process of generative adversarial networks (GANs) is unstab...

0 Tianjiao Luo, et al. ∙

research

∙ 06/15/2023

PINNacle: A Comprehensive Benchmark of Physics-Informed Neural Networks for Solving PDEs

While significant progress has been made on Physics-Informed Neural Netw...

1 Zhongkai Hao, et al. ∙

research

∙ 06/05/2023

MultiAdam: Parameter-wise Scale-invariant Optimizer for Multiscale Training of Physics-informed Neural Networks

Physics-informed Neural Networks (PINNs) have recently achieved remarkab...

0 Jiachen Yao, et al. ∙

research

∙ 05/30/2023

An absolutely convergent fixed-point fast sweeping WENO method on triangular meshes for steady state of hyperbolic conservation laws

High order fast sweeping methods for efficiently solving steady state so...

0 Liang Li, et al. ∙

research

∙ 05/30/2023

Preserving Pre-trained Features Helps Calibrate Fine-tuned Language Models

Large pre-trained language models (PLMs) have demonstrated strong perfor...

0 Guande He, et al. ∙

research

∙ 05/30/2023

NUNO: A General Framework for Learning Parametric PDEs with Non-Uniform Data

The neural operator has emerged as a powerful tool in learning mappings ...

0 Songming Liu, et al. ∙

research

∙ 05/28/2023

Amplification trojan network: Attack deep neural networks by amplifying their inherent weakness

Recent works found that deep neural networks (DNNs) can be fooled by adv...

0 Zhanhao Hu, et al. ∙

research

∙ 05/26/2023

ControlVideo: Adding Conditional Control for One Shot Text-to-Video Editing

In this paper, we present ControlVideo, a novel method for text-driven v...

0 Min Zhao, et al. ∙

research

∙ 05/25/2023

ProlificDreamer: High-Fidelity and Diverse Text-to-3D Generation with Variational Score Distillation

Score distillation sampling (SDS) has shown great promise in text-to-3D ...

0 Zhengyi Wang, et al. ∙

research

∙ 05/24/2023

Robust Classification via a Single Diffusion Model

Recently, diffusion models have been successfully applied to improving a...

0 Huanran Chen, et al. ∙

research

∙ 05/06/2023

Improved Techniques for Maximum Likelihood Estimation for Diffusion ODEs

Diffusion models have exhibited excellent performance in various domains...

0 Kaiwen Zheng, et al. ∙

research

∙ 04/25/2023

Contrastive Energy Prediction for Exact Energy-Guided Diffusion Sampling in Offline Reinforcement Learning

Guided sampling is a vital approach for applying diffusion models in rea...

0 Cheng Lu, et al. ∙

research

∙ 04/20/2023

PREIM3D: 3D Consistent Precise Image Attribute Editing from a Single Image

We study the 3D-aware image attribute editing problem in this paper, whi...

0 Jianhui Li, et al. ∙

research

∙ 04/20/2023

Learning Sample Difficulty from Pre-trained Models for Reliable Prediction

Large-scale pre-trained models have achieved remarkable success in a var...

0 Peng Cui, et al. ∙

research

∙ 04/20/2023

Learning CLIP Guided Visual-Text Fusion Transformer for Video-based Pedestrian Attribute Recognition

Existing pedestrian attribute recognition (PAR) algorithms are mainly de...

8 Jun Zhu, et al. ∙

research

∙ 04/19/2023

A compact simple HWENO scheme with ADER time discretization for hyperbolic conservation laws I: structured meshes

In this paper, a compact and high order ADER (Arbitrary high order using...

0 Dongmi Luo, et al. ∙

research

∙ 03/31/2023

A Closer Look at Parameter-Efficient Tuning in Diffusion Models

Large-scale diffusion models like Stable Diffusion are powerful and find...

0 Chendong Xiang, et al. ∙

research

∙ 03/28/2023

Towards Effective Adversarial Textured 3D Meshes on Physical Face Recognition

Face recognition is a prevailing authentication solution in numerous bio...

0 Xiao Yang, et al. ∙

research

∙ 03/20/2023

Benchmarking Robustness of 3D Object Detection to Common Corruptions in Autonomous Driving

3D object detection is an important task in autonomous driving to percei...

0 Yinpeng Dong, et al. ∙

research

∙ 03/16/2023

Rethinking Model Ensemble in Transfer-based Adversarial Attacks

Deep learning models are vulnerable to adversarial examples. Transfer-ba...

1 Huanran Chen, et al. ∙

research

∙ 03/12/2023

One Transformer Fits All Distributions in Multi-Modal Diffusion at Scale

This paper proposes a unified diffusion framework (dubbed UniDiffuser) t...

0 Fan Bao, et al. ∙

research

∙ 03/09/2023

Reward Informed Dreamer for Task Generalization in Reinforcement Learning

A long-standing goal of reinforcement learning is that algorithms can le...

0 Chengyang Ying, et al. ∙

research

∙ 03/06/2023

Dual Feedback Attention Framework via Boundary-Aware Auxiliary and Progressive Semantic Optimization for Salient Object Detection in Optical Remote Sensing Imagery

Salient object detection in optical remote sensing image (ORSI-SOD) has ...

0 Dejun Feng, et al. ∙

research

∙ 03/02/2023

Model-based Constrained MDP for Budget Allocation in Sequential Incentive Marketing

Sequential incentive marketing is an important approach for online busin...

0 Shuai Xiao, et al. ∙

research

∙ 02/28/2023

GNOT: A General Neural Operator Transformer for Operator Learning

Learning partial differential equations' (PDEs) solution operators is an...

0 Zhongkai Hao, et al. ∙

research

∙ 02/21/2023

Diffusion Models and Semi-Supervised Learners Benefit Mutually with Few Labels

We propose a three-stage training strategy called dual pseudo training (...

0 Zebin You, et al. ∙

research

∙ 02/10/2023

Confidence-based Reliable Learning under Dual Noises

Deep neural networks (DNNs) have achieved remarkable success in a variet...

0 Peng Cui, et al. ∙

research

∙ 02/05/2023

Revisiting Discriminative vs. Generative Classifiers: Theory and Implications

A large-scale deep model pre-trained on massive labeled or unlabeled dat...

0 Chenyu Zheng, et al. ∙

research

∙ 01/31/2023

A Comprehensive Survey of Continual Learning: Theory, Method and Application

To cope with real-world dynamics, an intelligent agent needs to incremen...

0 Liyuan Wang, et al. ∙

research

∙ 01/10/2023

Semiparametric Regression for Spatial Data via Deep Learning

In this work, we propose a deep learning-based method to perform semipar...

0 Kexuan Li, et al. ∙

research

∙ 12/01/2022

Why Are Conditional Generative Models Better Than Unconditional Ones?

Extensive empirical evidence demonstrates that conditional generative mo...

0 Fan Bao, et al. ∙

research

∙ 11/15/2022

Physics-Informed Machine Learning: A Survey on Problems, Methods and Applications

Recent advances of data-driven machine learning have revolutionized fiel...

0 Zhongkai Hao, et al. ∙

research

∙ 11/02/2022

DPM-Solver++: Fast Solver for Guided Sampling of Diffusion Probabilistic Models

Diffusion probabilistic models (DPMs) have achieved impressive success i...

0 Cheng Lu, et al. ∙

research

∙ 11/02/2022

Improving transferability of 3D adversarial attacks with scale and shear transformations

Previous work has shown that 3D point cloud classifiers can be vulnerabl...

0 Jinali Zhang, et al. ∙

research

∙ 11/02/2022

Model-based Reinforcement Learning with a Hamiltonian Canonical ODE Network

Model-based reinforcement learning usually suffers from a high sample co...

0 Yao Feng, et al. ∙

research

∙ 10/29/2022

Spectral Representation Learning for Conditional Moment Models

Many problems in causal inference and economics can be formulated in the...

6 Ziyu Wang, et al. ∙

research

∙ 10/27/2022

Isometric 3D Adversarial Examples in the Physical World

3D deep learning models are shown to be as vulnerable to adversarial exa...

0 Yibo Miao, et al. ∙

research

∙ 10/23/2022

Accelerated Linearized Laplace Approximation for Bayesian Deep Learning

Laplace approximation (LA) and its linearized variant (LLA) enable effor...

0 Zhijie Deng, et al. ∙

research

∙ 10/08/2022

ViewFool: Evaluating the Robustness of Visual Recognition to Adversarial Viewpoints

Recent studies have demonstrated that visual recognition models lack rob...

0 Yinpeng Dong, et al. ∙

research

∙ 10/06/2022

A Unified Hard-Constraint Framework for Solving Geometrically Complex PDEs

We present a unified hard-constraint framework for solving geometrically...

0 Songming Liu, et al. ∙

research

∙ 09/30/2022

Equivariant Energy-Guided SDE for Inverse Molecular Design

Inverse molecular design is critical in material science and drug discov...

0 Fan Bao, et al. ∙

research

∙ 09/30/2022

INT: Towards Infinite-frames 3D Detection with An Efficient Framework

It is natural to construct a multi-frame instead of a single-frame 3D de...

0 Jianyun Xu, et al. ∙

Jun Zhu

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