b'Jie Ren'

research

∙ 09/20/2023

Retrieve-Rewrite-Answer: A KG-to-Text Enhanced LLMs Framework for Knowledge Graph Question Answering

Despite their competitive performance on knowledge-intensive tasks, larg...

0 Yike Wu, et al. ∙

research

∙ 07/02/2023

Morse Neural Networks for Uncertainty Quantification

We introduce a new deep generative model useful for uncertainty quantifi...

0 Benoit Dherin, et al. ∙

research

∙ 06/20/2023

The Bayesian Regularized Quantile Varying Coefficient Model

The quantile varying coefficient (VC) model can flexibly capture dynamic...

0 Fei Zhou, et al. ∙

research

∙ 06/05/2023

Inflated 3D Convolution-Transformer for Weakly-supervised Carotid Stenosis Grading with Ultrasound Videos

Localization of the narrowest position of the vessel and corresponding v...

0 Xinrui Zhou, et al. ∙

research

∙ 05/26/2023

Building One-class Detector for Anything: Open-vocabulary Zero-shot OOD Detection Using Text-image Models

We focus on the challenge of out-of-distribution (OOD) detection in deep...

0 Yunhao Ge, et al. ∙

research

∙ 05/25/2023

DiffusionShield: A Watermark for Copyright Protection against Generative Diffusion Models

Recently, Generative Diffusion Models (GDMs) have showcased their remark...

0 Yingqian Cui, et al. ∙

research

∙ 05/24/2023

Sharpness-Aware Data Poisoning Attack

Recent research has highlighted the vulnerability of Deep Neural Network...

0 Pengfei He, et al. ∙

research

∙ 04/30/2023

Second-order Anisotropic Gaussian Directional Derivative Filters for Blob Detection

Interest point detection methods have received increasing attention and ...

0 Jie Ren, et al. ∙

research

∙ 04/17/2023

On Uncertainty Calibration and Selective Generation in Probabilistic Neural Summarization: A Benchmark Study

Modern deep models for summarization attains impressive benchmark perfor...

0 Polina Zablotskaia, et al. ∙

research

∙ 02/19/2023

Rethinking Memory Profiling and Migration for Multi-Tiered Large Memory Systems

Multi-tiered large memory systems call for rethinking of memory profilin...

0 Jie Ren, et al. ∙

research

∙ 02/13/2023

A Simple Zero-shot Prompt Weighting Technique to Improve Prompt Ensembling in Text-Image Models

Contrastively trained text-image models have the remarkable ability to p...

0 James Urquhart Allingham, et al. ∙

research

∙ 12/20/2022

Improving the Robustness of Summarization Models by Detecting and Removing Input Noise

The evaluation of abstractive summarization models typically uses test d...

0 Kundan Krishna, et al. ∙

research

∙ 10/18/2022

Transferable Unlearnable Examples

With more people publishing their personal data online, unauthorized dat...

5 Jie Ren, et al. ∙

research

∙ 10/17/2022

Probabilistic Categorical Adversarial Attack Adversarial Training

The existence of adversarial examples brings huge concern for people to ...

15 Pengfei He, et al. ∙

research

∙ 09/30/2022

Out-of-Distribution Detection and Selective Generation for Conditional Language Models

Machine learning algorithms typically assume independent and identically...

0 Jie Ren, et al. ∙

research

∙ 09/13/2022

Exemplar-Based Image Colorization with A Learning Framework

Image learning and colorization are hot spots in multimedia domain. Insp...

0 Zhenfeng Xue, et al. ∙

research

∙ 08/22/2022

Sequential Circuits Synthesis for Rapid Single Flux Quantum Logic Based on Finite State Machine Decomposition

Rapid Single Flux Quantum (RSFQ) logic is a promising technology to supe...

0 Shucheng Yang, et al. ∙

research

∙ 08/16/2022

Color Image Edge Detection using Multi-scale and Multi-directional Gabor filter

In this paper, a color edge detection method is proposed where the multi...

0 Yunhong Li, et al. ∙

research

∙ 07/24/2022

Proving Common Mechanisms Shared by Twelve Methods of Boosting Adversarial Transferability

Although many methods have been proposed to enhance the transferability ...

0 Quanshi Zhang, et al. ∙

research

∙ 06/01/2022

Defense Against Gradient Leakage Attacks via Learning to Obscure Data

Federated learning is considered as an effective privacy-preserving lear...

5 Yuxuan Wan, et al. ∙

research

∙ 05/27/2022

A Hybrid Josephson Transmission Line and Passive Transmission Line Routing Framework for Single Flux Quantum Logic

The Single Flux Quantum (SFQ) logic family is a novel digital logic as i...

0 Shucheng Yang, et al. ∙

research

∙ 05/18/2022

Pluralistic Image Completion with Probabilistic Mixture-of-Experts

Pluralistic image completion focuses on generating both visually realist...

4 Xiaobo Xia, et al. ∙

research

∙ 05/04/2022

Towards Theoretical Analysis of Transformation Complexity of ReLU DNNs

This paper aims to theoretically analyze the complexity of feature trans...

0 Jie Ren, et al. ∙

research

∙ 05/01/2022

A Simple Approach to Improve Single-Model Deep Uncertainty via Distance-Awareness

Accurate uncertainty quantification is a major challenge in deep learnin...

54 Jeremiah Zhe Liu, et al. ∙

research

∙ 02/26/2022

Exploring the Impact of Negative Samples of Contrastive Learning: A Case Study of Sentence Embedding

Contrastive learning is emerging as a powerful technique for extracting ...

0 Rui Cao, et al. ∙

research

∙ 01/24/2022

DrugOOD: Out-of-Distribution (OOD) Dataset Curator and Benchmark for AI-aided Drug Discovery – A Focus on Affinity Prediction Problems with Noise Annotations

AI-aided drug discovery (AIDD) is gaining increasing popularity due to i...

1 Yuanfeng Ji, et al. ∙

research

∙ 12/02/2021

MegBA: A High-Performance and Distributed Library for Large-Scale Bundle Adjustment

Large-scale Bundle Adjustment (BA) is the key for many 3D vision applica...

0 Jie Ren, et al. ∙

research

∙ 12/02/2021

Trap of Feature Diversity in the Learning of MLPs

In this paper, we discover a two-phase phenomenon in the learning of mul...

3 Dongrui Liu, et al. ∙

research

∙ 11/11/2021

Towards Axiomatic, Hierarchical, and Symbolic Explanation for Deep Models

This paper proposes a hierarchical and symbolic And-Or graph (AOG) to ob...

0 Jie Ren, et al. ∙

research

∙ 11/05/2021

A Unified Game-Theoretic Interpretation of Adversarial Robustness

This paper provides a unified view to explain different adversarial atta...

0 Jie Ren, et al. ∙

research

∙ 10/20/2021

ESOD:Edge-based Task Scheduling for Object Detection

Object Detection on the mobile system is a challenge in terms of everyth...

0 Yihao Wang, et al. ∙

research

∙ 10/05/2021

Cellular Network Radio Propagation Modeling with Deep Convolutional Neural Networks

Radio propagation modeling and prediction is fundamental for modern cell...

0 Xin Zhang, et al. ∙

research

∙ 07/18/2021

Sparse group variable selection for gene-environment interactions in the longitudinal study

Penalized variable selection for high dimensional longitudinal data has ...

0 Fei Zhou, et al. ∙

research

∙ 06/30/2021

Sawtooth Factorial Topic Embeddings Guided Gamma Belief Network

Hierarchical topic models such as the gamma belief network (GBN) have de...

0 Zhibin Duan, et al. ∙

research

∙ 06/21/2021

A Game-Theoretic Taxonomy of Visual Concepts in DNNs

In this paper, we rethink how a DNN encodes visual concepts of different...

0 Xu Cheng, et al. ∙

research

∙ 06/16/2021

A Simple Fix to Mahalanobis Distance for Improving Near-OOD Detection

Mahalanobis distance (MD) is a simple and popular post-processing method...

0 Jie Ren, et al. ∙

research

∙ 06/07/2021

Uncertainty Baselines: Benchmarks for Uncertainty Robustness in Deep Learning

High-quality estimates of uncertainty and robustness are crucial for num...

0 Zachary Nado, et al. ∙

research

∙ 06/06/2021

Exploring the Limits of Out-of-Distribution Detection

Near out-of-distribution detection (OOD) is a major challenge for deep n...

0 Stanislav Fort, et al. ∙

research

∙ 05/22/2021

Learning Baseline Values for Shapley Values

This paper aims to formulate the problem of estimating the optimal basel...

0 Jie Ren, et al. ∙

research

∙ 04/19/2021

Probabilistic Mixture-of-Experts for Efficient Deep Reinforcement Learning

Deep reinforcement learning (DRL) has successfully solved various proble...

0 Jie Ren, et al. ∙

research

∙ 04/12/2021

Learning to Remove: Towards Isotropic Pre-trained BERT Embedding

Pre-trained language models such as BERT have become a more common choic...

0 Yuxin Liang, et al. ∙

research

∙ 04/08/2021

Does Your Dermatology Classifier Know What It Doesn't Know? Detecting the Long-Tail of Unseen Conditions

We develop and rigorously evaluate a deep learning based system that can...

27 Abhijit Guha Roy, et al. ∙

research

∙ 04/04/2021

Uniting Heterogeneity, Inductiveness, and Efficiency for Graph Representation Learning

With the ubiquitous graph-structured data in various applications, model...

15 Tong Chen, et al. ∙

research

∙ 03/12/2021

Game-theoretic Understanding of Adversarially Learned Features

This paper aims to understand adversarial attacks and defense from a new...

0 Jie Ren, et al. ∙

research

∙ 02/23/2021

Identifying Gene-environment interactions with robust marginal Bayesian variable selection

In high-throughput genetics studies, an important aim is to identify gen...

0 Xi Lu, et al. ∙

research

∙ 01/18/2021

ZeRO-Offload: Democratizing Billion-Scale Model Training

Large-scale model training has been a playing ground for a limited few r...

0 Jie Ren, et al. ∙

research

∙ 10/08/2020

A Unified Approach to Interpreting and Boosting Adversarial Transferability

In this paper, we use the interaction inside adversarial perturbations t...

0 Xin Wang, et al. ∙

research

∙ 07/10/2020

Revisiting One-vs-All Classifiers for Predictive Uncertainty and Out-of-Distribution Detection in Neural Networks

Accurate estimation of predictive uncertainty in modern neural networks ...

20 Shreyas Padhy, et al. ∙

research

∙ 06/29/2020

Interpreting and Disentangling Feature Components of Various Complexity from DNNs

This paper aims to define, quantify, and analyze the feature complexity ...

0 Jie Ren, et al. ∙

research

∙ 06/09/2020

Robust Bayesian variable selection for gene-environment interactions

Gene-environment (G×E) interactions have important implications to eluci...

0 Jie Ren, et al. ∙

Jie Ren

Featured Co-authors