IEEE TNNLS

On Representation Knowledge Distillation for Graph Neural Networks

Chaitanya K. Joshi, Fayao Liu, Xu Xun, Jie Lin, Chuan-Sheng Foo

Comments IEEE Transactions on Neural Networks and Learning Representation (TNNLS), Special Issue on Deep Neural Networks for Graphs: Theory, Models, Algorithms and Applications

Exploration in Deep Reinforcement Learning: From Single-Agent to Multiagent Domain

Jianye Hao, Tianpei Yang, Hongyao Tang, Chenjia Bai, Jinyi Liu, Zhaopeng Meng, Peng Liu, Zhen Wang

Comments Accepted by IEEE Transactions on Neural Networks and Learning Systems (TNNLS)

Uncertainty-Aware Distillation for Semi-Supervised Few-Shot Class-Incremental Learning

Yawen Cui, Wanxia Deng, Haoyu Chen, Li Liu

Comments Submitted to IEEE Transactions on Neural Networks and Learning Systems

Who Should I Engage with At What Time? A Missing Event Aware Temporal Graph Neural Network

Mingyi Liu, Zhiying Tu, Xiaofei Xu, Zhongjie Wang

Comments submitted to TNNLS

NeRP: Implicit Neural Representation Learning with Prior Embedding for Sparsely Sampled Image Reconstruction

Liyue Shen, John Pauly, Lei Xing

Comments Code available at https://github.com/liyues/NeRP

Journal ref IEEE Transactions on Neural Networks and Learning Systems (TNNLS), 2022

Channel-aware Decoupling Network for Multi-turn Dialogue Comprehension

Zhuosheng Zhang, Hai Zhao, Longxiang Liu

Comments Accepted by IEEE Transactions on Neural Networks and Learning Systems (TNNLS). Journal extension of arXiv:2009.06504

Depthwise Convolution for Multi-Agent Communication with Enhanced Mean-Field Approximation

Donghan Xie, Zhi Wang, Chunlin Chen, Daoyi Dong

Comments Accepted by IEEE Transactions on Neural Networks, 2022, DOI: 10.1109/TNNLS.2022.3230701

Guidance Through Surrogate: Towards a Generic Diagnostic Attack

Muzammal Naseer, Salman Khan, Fatih Porikli, Fahad Shahbaz Khan

Comments IEEE Transactions on Neural Networks and Learning Systems (TNNLS)

Self-Supervised Tracking via Target-Aware Data Synthesis

Xin Li, Wenjie Pei, Yaowei Wang, Zhenyu He, Huchuan Lu, Ming-Hsuan Yang

Comments 11 pages, 7 figures, Accepted by IEEE Transactions on Neural Networks and Learning Systems

Incremental Deep Neural Network Learning using Classification Confidence Thresholding

Justin Leo, Jugal Kalita

Comments Accepted to IEEE TNNLS

Journal ref TNNLS 33 (2022) 7706-7716

Multi-Projection Fusion and Refinement Network for Salient Object Detection in 360° Omnidirectional Image

Runmin Cong, Ke Huang, Jianjun Lei, Yao Zhao, Qingming Huang, Sam Kwong

Comments Accepted by IEEE Transactions on Neural Networks and Learning Systems 2022

MutexMatch: Semi-Supervised Learning with Mutex-Based Consistency Regularization

Yue Duan, Zhen Zhao, Lei Qi, Lei Wang, Luping Zhou, Yinghuan Shi, Yang Gao

Comments Accepted by IEEE Transactions on Neural Networks and Learning Systems (TNNLS)

Temporal Output Discrepancy for Loss Estimation-based Active Learning

Siyu Huang, Tianyang Wang, Haoyi Xiong, Bihan Wen, Jun Huan, Dejing Dou

Comments Accepted for IEEE Transactions on Neural Networks and Learning Systems, 2022. Journal extension of ICCV 2021 [arXiv:2107.14153]

Proposal Distribution Calibration for Few-Shot Object Detection

Bohao Li, Chang Liu, Mengnan Shi, Xiaozhong Chen, Xiangyang Ji, Qixiang Ye

Comments This paper is under review in IEEE TNNLS

PHNNs: Lightweight Neural Networks via Parameterized Hypercomplex Convolutions

Eleonora Grassucci, Aston Zhang, Danilo Comminiello

Comments Submitted to IEEE Transactions on Neural Networks and Learning Systems

Aligning Correlation Information for Domain Adaptation in Action Recognition

Yuecong Xu, Jianfei Yang, Haozhi Cao, Kezhi Mao, Jianxiong Yin, Simon See

Comments The dataset HMDB-ARID is available at Camera-ready" target="_blank" rel="noopener">https://xuyu0010.github.io/vuda.html.Camera-ready version of this paper accepted at IEEE TNNLS. Correction made for Figure 1 of the Camera-ready version

A Survey of Visual Transformers

Yang Liu, Yao Zhang, Yixin Wang, Feng Hou, Jin Yuan, Jiang Tian, Yang Zhang, Zhongchao Shi, Jianping Fan, Zhiqiang He

Comments Accepted by IEEE Transactions on Neural Networks and Learning Systems (TNNLS)

ReSmooth: Detecting and Utilizing OOD Samples when Training with Data Augmentation

Chenyang Wang, Junjun Jiang, Xiong Zhou, Xianming Liu

Comments The paper is accepted as a TNNLS regular paper. See the published version in "Early Access" area on IEEE Xplore: https://ieeexplore.ieee.org/document/9961105

Knowledge-augmented Deep Learning and Its Applications: A Survey

Zijun Cui, Tian Gao, Kartik Talamadupula, Qiang Ji

Comments Submitted to IEEE Transactions on Neural Networks and Learning Systems

On Information Plane Analyses of Neural Network Classifiers -- A Review

Bernhard C. Geiger

Comments 12 pages, 3 figures; accepted for publication in IEEE Transactions on Neural Networks and Learning Systems. (c) 2021 IEEE

Journal ref IEEE Trans. Neural Networks and Learning Systems 33(12):7039-7051

Understanding Neural Networks and Individual Neuron Importance via Information-Ordered Cumulative Ablation

Rana Ali Amjad, Kairen Liu, Bernhard C. Geiger

Comments 12 pages; accepted for publication in IEEE Transactions on Neural Networks and Learning Systems

Journal ref IEEE Trans. Neural Networks and Learning Systems 33(12):7842-7852

Enhanced Security and Privacy via Fragmented Federated Learning

Najeeb Moharram Jebreel, Josep Domingo-Ferrer, Alberto Blanco-Justicia, David Sanchez

Comments IEEE Transactions on Neural Networks and Learning Systems (To Appear)

Towards Quantized Model Parallelism for Graph-Augmented MLPs Based on Gradient-Free ADMM Framework

Junxiang Wang, Hongyi Li, Zheng Chai, Yongchao Wang, Yue Cheng, Liang Zhao

Comments Accepted by the IEEE Transactions on Neural Networks and Learning Systems (TNNLS). arXiv admin note: substantial text overlap with arXiv:2009.02868

Seeing All From a Few: Nodes Selection Using Graph Pooling for Graph Clustering

Yiming Wang, Dongxia Chang, Zhiqian Fu, Yao Zhao

Journal ref IEEE Transactions on Neural Networks and Learning Systems, 2022

Ensemble Conformalized Quantile Regression for Probabilistic Time Series Forecasting

Vilde Jensen, Filippo Maria Bianchi, Stian Norman Anfinsen

Journal ref IEEE Transactions on Neural Networks and Learning Systems, 2022

Multi-view Multi-label Fine-grained Emotion Decoding from Human Brain Activity

Kaicheng Fu, Changde Du, Shengpei Wang, Huiguang He

Comments Accepted by IEEE Transactions on Neural Networks and Learning Systems

Robust Few-shot Learning Without Using any Adversarial Samples

Gaurav Kumar Nayak, Ruchit Rawal, Inder Khatri, Anirban Chakraborty

Comments TNNLS Submission (Under Review)

Multi-Label Noise Robust Collaborative Learning for Remote Sensing Image Classification

Ahmet Kerem Aksoy, Mahdyar Ravanbakhsh, Begüm Demir

Comments Our code is publicly available at: http://www.noisy-labels-in-rs.org

Journal ref IEEE Transactions on Neural Networks and Learning Systems (2022) 1-14

Hybrid Reinforced Medical Report Generation with M-Linear Attention and Repetition Penalty

Wenting Xu, Zhenghua Xu, Junyang Chen, Chang Qi, Thomas Lukasiewicz

Comments This paper is current under peer-review in IEEE TNNLS

Parameter-Efficient Person Re-identification in the 3D Space

Zhedong Zheng, Nenggan Zheng, Yi Yang

Comments The code is available at https://github.com/layumi/person-reid-3d

Journal ref IEEE Transactions on Neural Networks and Learning Systems (2022)