b'Feng Chen'

research

∙ 09/18/2023

Towards Effective Semantic OOD Detection in Unseen Domains: A Domain Generalization Perspective

Two prevalent types of distributional shifts in machine learning are the...

0 Haoliang Wang, et al. ∙

research

∙ 08/29/2023

Stochastic Variational Inference for GARCH Models

Stochastic variational inference algorithms are derived for fitting vari...

0 Hanwen Xuan, et al. ∙

research

∙ 08/03/2023

Learning Implicit Entity-object Relations by Bidirectional Generative Alignment for Multimodal NER

The challenge posed by multimodal named entity recognition (MNER) is mai...

0 Feng Chen, et al. ∙

research

∙ 06/26/2023

Pretraining task diversity and the emergence of non-Bayesian in-context learning for regression

Pretrained transformers exhibit the remarkable ability of in-context lea...

0 Allan Raventos, et al. ∙

research

∙ 06/25/2023

Chain-of-Thought Prompt Distillation for Multimodal Named Entity and Multimodal Relation Extraction

Multimodal Named Entity Recognition (MNER) and Multimodal Relation Extra...

0 Feng Chen, et al. ∙

research

∙ 06/07/2023

Stochastic Collapse: How Gradient Noise Attracts SGD Dynamics Towards Simpler Subnetworks

In this work, we reveal a strong implicit bias of stochastic gradient de...

0 Feng Chen, et al. ∙

research

∙ 06/02/2023

Learning Causally Disentangled Representations via the Principle of Independent Causal Mechanisms

Learning disentangled causal representations is a challenging problem th...

0 Aneesh Komanduri, et al. ∙

research

∙ 06/01/2023

Interpreting GNN-based IDS Detections Using Provenance Graph Structural Features

The black-box nature of complex Neural Network (NN)-based models has hin...

0 Kunal Mukherjee, et al. ∙

research

∙ 05/31/2023

Towards Fair Disentangled Online Learning for Changing Environments

In the problem of online learning for changing environments, data are se...

0 Chen Zhao, et al. ∙

research

∙ 05/24/2023

InterFormer: Interactive Local and Global Features Fusion for Automatic Speech Recognition

The local and global features are both essential for automatic speech re...

0 Zhi-Hao Lai, et al. ∙

research

∙ 05/24/2023

Multiresolution Feature Guidance Based Transformer for Anomaly Detection

Anomaly detection is represented as an unsupervised learning to identify...

0 Shuting Yan, et al. ∙

research

∙ 05/23/2023

Rethinking Speech Recognition with A Multimodal Perspective via Acoustic and Semantic Cooperative Decoding

Attention-based encoder-decoder (AED) models have shown impressive perfo...

0 Tian-Hao Zhang, et al. ∙

research

∙ 05/16/2023

SCTracker: Multi-object tracking with shape and confidence constraints

Detection-based tracking is one of the main methods of multi-object trac...

0 Huan Mao, et al. ∙

research

∙ 05/10/2023

Robust multi-agent coordination via evolutionary generation of auxiliary adversarial attackers

Cooperative multi-agent reinforcement learning (CMARL) has shown to be p...

0 Lei Yuan, et al. ∙

research

∙ 05/09/2023

Communication-Robust Multi-Agent Learning by Adaptable Auxiliary Multi-Agent Adversary Generation

Communication can promote coordination in cooperative Multi-Agent Reinfo...

2 Lei Yuan, et al. ∙

research

∙ 05/07/2023

Robust Multi-agent Communication via Multi-view Message Certification

Many multi-agent scenarios require message sharing among agents to promo...

0 Lei Yuan, et al. ∙

research

∙ 02/19/2023

Efficient Communication via Self-supervised Information Aggregation for Online and Offline Multi-agent Reinforcement Learning

Utilizing messages from teammates can improve coordination in cooperativ...

0 Cong Guan, et al. ∙

research

∙ 02/19/2023

Uncertainty-Aware Reward-based Deep Reinforcement Learning for Intent Analysis of Social Media Information

Due to various and serious adverse impacts of spreading fake news, it is...

0 Zhen Guo, et al. ∙

research

∙ 12/13/2022

PPO-UE: Proximal Policy Optimization via Uncertainty-Aware Exploration

Proximal Policy Optimization (PPO) is a highly popular policy-based deep...

0 Qisheng Zhang, et al. ∙

research

∙ 10/29/2022

Neural network quantum state with proximal optimization: a ground-state searching scheme based on variational Monte Carlo

Neural network quantum states (NQS), incorporating with variational Mont...

0 Feng Chen, et al. ∙

research

∙ 10/06/2022

Unmasking the Lottery Ticket Hypothesis: What's Encoded in a Winning Ticket's Mask?

Modern deep learning involves training costly, highly overparameterized ...

12 Mansheej Paul, et al. ∙

research

∙ 10/06/2022

Block-Structured Optimization for Subgraph Detection in Interdependent Networks

We propose a generalized framework for block-structured nonconvex optimi...

20 Fei Jie, et al. ∙

research

∙ 07/05/2022

Stochastic declustering of earthquakes with the spatiotemporal RETAS model

Epidemic-Type Aftershock Sequence (ETAS) models are point processes that...

0 Tom Stindl, et al. ∙

research

∙ 06/29/2022

Framing Algorithmic Recourse for Anomaly Detection

The problem of algorithmic recourse has been explored for supervised mac...

1 Debanjan Datta, et al. ∙

research

∙ 06/26/2022

Calibrated Nonparametric Scan Statistics for Anomalous Pattern Detection in Graphs

We propose a new approach, the calibrated nonparametric scan statistic (...

0 Chunpai Wang, et al. ∙

research

∙ 06/12/2022

A Survey on Uncertainty Reasoning and Quantification for Decision Making: Belief Theory Meets Deep Learning

An in-depth understanding of uncertainty is the first step to making eff...

41 Zhen Guo, et al. ∙

research

∙ 05/20/2022

Adaptive Fairness-Aware Online Meta-Learning for Changing Environments

The fairness-aware online learning framework has arisen as a powerful to...

5 Chen Zhao, et al. ∙

research

∙ 04/09/2022

S4OD: Semi-Supervised learning for Single-Stage Object Detection

Single-stage detectors suffer from extreme foreground-background class i...

2 Yueming Zhang, et al. ∙

research

∙ 03/23/2022

Lane detection with Position Embedding

Recently, lane detection has made great progress in autonomous driving. ...

10 Jun Xie, et al. ∙

research

∙ 03/17/2022

Interacting Attention Graph for Single Image Two-Hand Reconstruction

Graph convolutional network (GCN) has achieved great success in single h...

9 Mengcheng Li, et al. ∙

research

∙ 03/01/2022

Layer Adaptive Deep Neural Networks for Out-of-distribution Detection

During the forward pass of Deep Neural Networks (DNNs), inputs gradually...

11 Haoliang Wang, et al. ∙

research

∙ 02/05/2022

SEED: Sound Event Early Detection via Evidential Uncertainty

Sound Event Early Detection (SEED) is an essential task in recognizing t...

9 Xujiang Zhao, et al. ∙

research

∙ 01/30/2022

PLATINUM: Semi-Supervised Model Agnostic Meta-Learning using Submodular Mutual Information

Few-shot classification (FSC) requires training models using a few (typi...

1 Changbin Li, et al. ∙

research

∙ 01/28/2022

Transfering Hierarchical Structure with Dual Meta Imitation Learning

Hierarchical Imitation Learning (HIL) is an effective way for robots to ...

5 Chongkai Gao, et al. ∙

research

∙ 01/26/2022

Learning Invariable Semantical Representation from Language for Extensible Policy Generalization

Recently, incorporating natural language instructions into reinforcement...

7 Yihan Li, et al. ∙

research

∙ 12/15/2021

Spatiotemporal ETAS model with a renewal main-shock arrival process

This article proposes a spatiotemporal point process model that enhances...

0 Tom Stindl, et al. ∙

research

∙ 12/06/2021

Prototypical Model with Novel Information-theoretic Loss Function for Generalized Zero Shot Learning

Generalized zero shot learning (GZSL) is still a technical challenge of ...

13 Chunlin Ji, et al. ∙

research

∙ 10/30/2021

Adjacency constraint for efficient hierarchical reinforcement learning

Goal-conditioned Hierarchical Reinforcement Learning (HRL) is a promisin...

6 Tianren Zhang, et al. ∙

research

∙ 09/18/2021

Memory Regulation and Alignment toward Generalizer RGB-Infrared Person

The domain shift, coming from unneglectable modality gap and non-overlap...

11 Feng Chen, et al. ∙

research

∙ 09/18/2021

Homogeneous and Heterogeneous Relational Graph for Visible-infrared Person Re-identification

Visible-infrared person re-identification (VI Re-ID) aims to match perso...

9 Yujian Feng, et al. ∙

research

∙ 09/14/2021

Non-autoregressive Transformer with Unified Bidirectional Decoder for Automatic Speech Recognition

Non-autoregressive (NAR) transformer models have been studied intensivel...

11 Chuan-Fei Zhang, et al. ∙

research

∙ 09/01/2021

Boosting Cross-Lingual Transfer via Self-Learning with Uncertainty Estimation

Recent multilingual pre-trained language models have achieved remarkable...

3 Liyan Xu, et al. ∙

research

∙ 08/27/2021

Subjective Learning for Open-Ended Data

Conventional machine learning methods typically assume that data is spli...

9 Tianren Zhang, et al. ∙

research

∙ 08/21/2021

Fairness-Aware Online Meta-learning

In contrast to offline working fashions, two research paradigms are devi...

0 Chen Zhao, et al. ∙

research

∙ 08/19/2021

Network-wide link travel time and station waiting time estimation using automatic fare collection data: A computational graph approach

Urban rail transit (URT) system plays a dominating role in many megaciti...

6 Jinlei Zhang, et al. ∙

research

∙ 07/21/2021

Bridging the Gap between Spatial and Spectral Domains: A Theoretical Framework for Graph Neural Networks

During the past decade, deep learning's performance has been widely reco...

20 Zhiqian Chen, et al. ∙

research

∙ 06/17/2021

CRIL: Continual Robot Imitation Learning via Generative and Prediction Model

Imitation learning (IL) algorithms have shown promising results for robo...

6 Chongkai Gao, et al. ∙

research

∙ 06/14/2021

RETRIEVE: Coreset Selection for Efficient and Robust Semi-Supervised Learning

Semi-supervised learning (SSL) algorithms have had great success in rece...

11 KrishnaTeja Killamsetty, et al. ∙

research

∙ 05/19/2021

Local Aggressive Adversarial Attacks on 3D Point Cloud

Deep neural networks are found to be prone to adversarial examples which...

12 Yiming Sun, et al. ∙

research

∙ 05/06/2021

FDNet: A Deep Learning Approach with Two Parallel Cross Encoding Pathways for Precipitation Nowcasting

With the goal of predicting the future rainfall intensity in a local reg...

11 Bi-Ying Yan, et al. ∙

Feng Chen

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