---
title: "Neural Networks 2023 — all accepted papers, page 6"
description: "All 643 papers of Neural Networks 2023 · page 6 of 7, the most cited first; those with our summary link to it."
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# Neural Networks 2023: all accepted papers

643 papers · page 6 of 7 · the most cited first · [← Neural Networks 2023](https://md.research.elamur.ai/free/en/venues/neural-networks/2023/)

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501. **[HG-PerCon: Cross-view contrastive learning for personality prediction ↗](https://doi.org/10.1016/j.neunet.2023.10.042)**Meiling Li, Yangfu Zhu, Shicheng Li et al.*7 citations*
502. **[Leveraging joint incremental learning objective with data ensemble for class incremental learning ↗](https://doi.org/10.1016/j.neunet.2023.01.017)**Pratik Mazumder, Mohammed Asad Karim, Indu Joshi et al.*7 citations*
503. **[MPCNet: Compressed multi-view video restoration via motion-parallax complementation network ↗](https://doi.org/10.1016/j.neunet.2023.08.037)**Chang Wu, Gang He, Xinquan Lai et al.*7 citations*
504. **[Multi-view graph representation with similarity diffusion for general zero-shot learning ↗](https://doi.org/10.1016/j.neunet.2023.06.045)**Beibei Yu, Cheng Xie, Peng Tang et al.*7 citations*
505. **[Nested relation extraction via self-contrastive learning guided by structure and semantic similarity ↗](https://doi.org/10.1016/j.neunet.2023.03.001)**Chengcheng Mai, Kaiwen Luo, Yuxiang Wang et al.*7 citations*
506. **[Reward prediction-errors weighted by cue salience produces addictive behaviours in simulations, with asymmetrical learning and steeper delay discounting ↗](https://doi.org/10.1016/j.neunet.2023.09.032)**Shivam Kalhan, Marta Isabel Garrido, Robert Hester et al.*7 citations*
507. **[SpikeSEE: An energy-efficient dynamic scenes processing framework for retinal prostheses ↗](https://doi.org/10.1016/j.neunet.2023.05.002)**Chuanqing Wang, Chaoming Fang, Yong Zou et al.*7 citations*
508. **[Tell me your position: Distantly supervised biomedical entity relation extraction using entity position marker ↗](https://doi.org/10.1016/j.neunet.2023.09.043)**Jiran Zhu, Jikun Dong, Hongyun Du et al.*7 citations*
509. **[The role of capacity constraints in Convolutional Neural Networks for learning random versus natural data ↗](https://doi.org/10.1016/j.neunet.2023.01.011)**Christian Tsvetkov, Gaurav Malhotra, Benjamin D. Evans et al.*7 citations*
510. **[Top-down generation of low-resolution representations improves visual perception and imagination ↗](https://doi.org/10.1016/j.neunet.2023.12.030)**Zedong Bi, Haoran Li, Liang Tian*7 citations*
511. **[TransformerG2G: Adaptive time-stepping for learning temporal graph embeddings using transformers ↗](https://doi.org/10.1016/j.neunet.2023.12.040)**Alan John Varghese, Aniruddha Bora, Mengjia Xu et al.*7 citations*
512. **[A large-scale neurocomputational model of spatial cognition integrating memory with vision ↗](https://doi.org/10.1016/j.neunet.2023.08.034)**Micha Burkhardt, Julia Bergelt, Lorenz Gönner et al.*6 citations*
513. **[A multilayered bidirectional associative memory model for learning nonlinear tasks ↗](https://doi.org/10.1016/j.neunet.2023.08.018)**Damiem Rolon-Mérette, Thaddé Rolon-Merette, Sylvain Chartier*6 citations*
514. **[A novel neural network for improved in-hospital mortality prediction with irregular and incomplete multivariate data ↗](https://doi.org/10.1016/j.neunet.2023.07.033)**Xi Zhou, Wei Xiang, Tao Huang*6 citations*
515. **[Cost-effective framework for gradual domain adaptation with multifidelity ↗](https://doi.org/10.1016/j.neunet.2023.03.035)**Shogo Sagawa, Hideitsu Hino*6 citations*
516. **[Dissociable default-mode subnetworks subserve childhood attention and cognitive flexibility: Evidence from deep learning and stereotactic electroencephalography ↗](https://doi.org/10.1016/j.neunet.2023.07.019)**Nebras M. Warsi, Simeon M. Wong, Jürgen Germann et al.*6 citations*
517. **[Distributional generative adversarial imitation learning with reproducing kernel generalization ↗](https://doi.org/10.1016/j.neunet.2023.05.027)**Yirui Zhou, Mengxiao Lu, Xiaowei Liu et al.*6 citations*
518. **[Dynamic sparse coding-based value estimation network for deep reinforcement learning ↗](https://doi.org/10.1016/j.neunet.2023.09.013)**Haoli Zhao, Zhenni Li, Wensheng Su et al.*6 citations*
519. **[End-to-end neural speaker diarization with an iterative adaptive attractor estimation ↗](https://doi.org/10.1016/j.neunet.2023.07.043)**Fengyuan Hao, Xiaodong Li, Chengshi Zheng*6 citations*
520. **[Exploiting nonlinear dendritic adaptive computation in training deep Spiking Neural Networks ↗](https://doi.org/10.1016/j.neunet.2023.10.056)**Guobin Shen, Dongcheng Zhao, Yi Zeng*6 citations*
521. **[Graph embedding-based heterogeneous domain adaptation with domain-invariant feature learning and distributional order preserving ↗](https://doi.org/10.1016/j.neunet.2023.11.048)**Wenxu Wang, Zhenbo Li, Weiran Li*6 citations*
522. **[Graph-based methods coupled with specific distributional distances for adversarial attack detection ↗](https://doi.org/10.1016/j.neunet.2023.10.007)**Dwight Nwaigwe, Lucrezia Carboni, Martial Mermillod et al.*6 citations*
523. **[Imitating the oracle: Towards calibrated model for class incremental learning ↗](https://doi.org/10.1016/j.neunet.2023.04.010)**Fei Zhu, Zhen Cheng, Xu-Yao Zhang et al.*6 citations*
524. **[Information theoretic perspective on sample complexity ↗](https://doi.org/10.1016/j.neunet.2023.08.032)**Deborah Pereg*6 citations*
525. **[Learning smooth dendrite morphological neurons by stochastic gradient descent for pattern classification ↗](https://doi.org/10.1016/j.neunet.2023.09.033)**Wilfrido Gómez‐Flores, Humberto Sossa*6 citations*
526. **[Leveraging spatial residual attention and temporal Markov networks for video action understanding ↗](https://doi.org/10.1016/j.neunet.2023.10.047)**Yangyang Xu, Zengmao Wang, Xiao-Ping Steven Zhang*6 citations*
527. **[Low-variance Forward Gradients using Direct Feedback Alignment and momentum ↗](https://doi.org/10.1016/j.neunet.2023.10.051)**Florian Bacho, Dominique Chu*6 citations*
528. **[Medical object detector jointly driven by knowledge and data ↗](https://doi.org/10.1016/j.neunet.2023.12.038)**Xianhua Zeng, Yuhang Liu, Jian Zhang et al.*6 citations*
529. **[On a framework of data assimilation for hyperparameter estimation of spiking neuronal networks ↗](https://doi.org/10.1016/j.neunet.2023.11.016)**Wenyong Zhang, Boyu Chen, Jianfeng Feng et al.*6 citations*
530. **[ProMask: Probability mask representation for skeleton detection ↗](https://doi.org/10.1016/j.neunet.2023.02.033)**Xiuxiu Bai, Lele Ye, Zhe Liu et al.*6 citations*
531. **[Revisiting the fragility of influence functions ↗](https://doi.org/10.1016/j.neunet.2023.03.029)**Jacob R. Epifano, Ravi P. Ramachandran, Aaron J. Masino et al.*6 citations*
532. **[SLAPP: Subgraph-level attention-based performance prediction for deep learning models ↗](https://doi.org/10.1016/j.neunet.2023.11.043)**Zhenyi Wang, Pengfei Yang, Linwei Hu et al.*6 citations*
533. **[SiamDF: Tracking training data-free siamese tracker ↗](https://doi.org/10.1016/j.neunet.2023.06.012)**Huayue Cai, Long Lan, Jing Zhang et al.*6 citations*
534. **[Strengthening transferability of adversarial examples by adaptive inertia and amplitude spectrum dropout ↗](https://doi.org/10.1016/j.neunet.2023.06.031)**Huanhuan Li, Wenbo Yu, He Huang*6 citations*
535. **[Structure-aware deep clustering network based on contrastive learning ↗](https://doi.org/10.1016/j.neunet.2023.08.020)**Bowei Chen, Sen Xu, Heyang Xu et al.*6 citations*
536. **[Sweet Gradient matters: Designing consistent and efficient estimator for Zero-shot Architecture Search ↗](https://doi.org/10.1016/j.neunet.2023.09.012)**Longxing Yang, Yanxin Fu, Shun Lu et al.*6 citations*
537. **[Temporal shuffling for defending deep action recognition models against adversarial attacks ↗](https://doi.org/10.1016/j.neunet.2023.10.033)**Jaehui Hwang, Huan Zhang, Junho H. Choi et al.*6 citations*
538. **[UNIMEMnet: Learning long-term motion and appearance dynamics for video prediction with a unified memory network ↗](https://doi.org/10.1016/j.neunet.2023.09.024)**Kuai Dai, Xutao Li, Chuyao Luo et al.*6 citations*
539. **[Visual question generation for explicit questioning purposes based on target objects ↗](https://doi.org/10.1016/j.neunet.2023.08.007)**Jiayuan Xie, Jiali Chen, Wenhao Fang et al.*6 citations*
540. **[A start–stop points CenterNet for wideband signals detection and time–frequency localization in spectrum sensing ↗](https://doi.org/10.1016/j.neunet.2023.11.013)**Teng Cheng, Lei Sun, Junning Zhang et al.*5 citations*
541. **[Attribute-driven streaming edge partitioning with reconciliations for distributed graph neural network training ↗](https://doi.org/10.1016/j.neunet.2023.06.026)**Zongshen Mu, Siliang Tang, Yueting Zhuang et al.*5 citations*
542. **[Automatized offline and online exploration to achieve a target dynamics in biohybrid neural circuits built with living and model neurons ↗](https://doi.org/10.1016/j.neunet.2023.04.034)**Manuel Reyes-Sánchez, Rodrigo Amaducci, P. Terradillos Sánchez et al.*5 citations*
543. **[CollectiveNet-AltSpec: A collective concurrent CNN architecture of alternate specifications for EEG media perception and emotion tracing aided by multi-domain feature-augmentation ↗](https://doi.org/10.1016/j.neunet.2023.08.031)**Parham Faraji, Mohammad Bagher Khodabakhshi*5 citations*
544. **[DEBI-NN: Distance-encoding biomorphic-informational neural networks for minimizing the number of trainable parameters ↗](https://doi.org/10.1016/j.neunet.2023.08.026)**László Papp, David Haberl, Boglarka Ecsedi et al.*5 citations*
545. **[Deep Isotonic Embedding Network: A flexible Monotonic Neural Network ↗](https://doi.org/10.1016/j.neunet.2023.12.026)**Jiachi Zhao, Hongwen Zhang, Yue Wang et al.*5 citations*
546. **[Denoising cosine similarity: A theory-driven approach for efficient representation learning ↗](https://doi.org/10.1016/j.neunet.2023.10.027)**Takumi Nakagawa, Yutaro Sanada, Hiroki Waida et al.*5 citations*
547. **[Discriminative analysis dictionary learning with adaptively ordinal locality preserving ↗](https://doi.org/10.1016/j.neunet.2023.05.022)**Jing Dong, Kai Wu, Liu Chang et al.*5 citations*
548. **[Discriminative multimodal learning via conditional priors in generative models ↗](https://doi.org/10.1016/j.neunet.2023.10.048)**Rogelio A. Mancisidor, Michael Kampffmeyer, Kjersti Aas et al.*5 citations*
549. **[Drop edges and adapt: A fairness enforcing fine-tuning for graph neural networks ↗](https://doi.org/10.1016/j.neunet.2023.08.002)**Indro Spinelli, Riccardo Bianchini, Simone Scardapane*5 citations*
550. **[Dual Distillation Discriminator Networks for Domain Adaptive Few-Shot Learning ↗](https://doi.org/10.1016/j.neunet.2023.06.009)**Xiyao Liu, Zhong Ji, Yanwei Pang et al.*5 citations*
551. **[Eigen value based loss function for training attractors in iterated autoencoders ↗](https://doi.org/10.1016/j.neunet.2023.02.003)**Ali Nouri, Seyyed Ali Seyyedsalehi*5 citations*
552. **[Graph convolutional network with tree-guided anisotropic message passing ↗](https://doi.org/10.1016/j.neunet.2023.06.034)**Ruixiang Wang, Yuhu Wang, Chunxia Zhang et al.*5 citations*
553. **[Hierarchical neural network with efficient selection inference ↗](https://doi.org/10.1016/j.neunet.2023.02.015)**Jian‐Xun Mi, Nuo Li, Ke-Yang Huang et al.*5 citations*
554. **[Information theory-guided heuristic progressive multi-view coding ↗](https://doi.org/10.1016/j.neunet.2023.08.027)**Jiangmeng Li, Hang Gao, Wenwen Qiang et al.*5 citations*
555. **[Instantaneous estimation of momentary affective responses using neurophysiological signals and a spatiotemporal emotional intensity regression network ↗](https://doi.org/10.1016/j.neunet.2023.12.034)**Kaiyu Gan, Ruiding Li, Jianhua Zhang et al.*5 citations*
556. **[Multi-relational graph convolutional networks: Generalization guarantees and experiments ↗](https://doi.org/10.1016/j.neunet.2023.01.044)**Xutao Li, Michael K. Ng, Guangning Xu et al.*5 citations*
557. **[Reduced-complexity Convolutional Neural Network in the compressed domain ↗](https://doi.org/10.1016/j.neunet.2023.10.020)**Hamdan Abdellatef, Lina J. Karam*5 citations*
558. **[SIA: A sustainable inference attack framework in split learning ↗](https://doi.org/10.1016/j.neunet.2023.12.033)**Fangchao Yu, Lina Wang, Bo Zeng et al.*5 citations*
559. **[SuperFormer: Continual learning superposition method for text classification ↗](https://doi.org/10.1016/j.neunet.2023.01.040)**Marko Zeman, Jana Faganeli Pucer, Igor Kononenko et al.*5 citations*
560. **[Theoretical limits on the speed of learning inverse models explain the rate of adaptation in arm reaching tasks ↗](https://doi.org/10.1016/j.neunet.2023.10.049)**Victor R. Barradas, Yasuharu Koike, Nicolas Schweighofer*5 citations*
561. **[Uncertainty maximization in partially observable domains: A cognitive perspective ↗](https://doi.org/10.1016/j.neunet.2023.02.044)**Mirza Ramičić, Andrea Bonarini*5 citations*
562. **[A unified semi-supervised model with joint estimation of graph, soft labels and latent subspace ↗](https://doi.org/10.1016/j.neunet.2023.07.014)**Fadi Dornaika, Abdullah Baradaaji*4 citations*
563. **[Addressing implicit bias in adversarial imitation learning with mutual information ↗](https://doi.org/10.1016/j.neunet.2023.08.058)**Lihua Zhang, Quan Liu, Fei Zhu et al.*4 citations*
564. **[Blockwise compression of transformer-based models without retraining ↗](https://doi.org/10.1016/j.neunet.2023.12.001)**Gaochen Dong, Weigang Chen*4 citations*
565. **[BrainS: Customized multi-core embedded multiple scale neuromorphic system ↗](https://doi.org/10.1016/j.neunet.2023.05.043)**Bo Gong, Jiang Wang, Meili Lu et al.*4 citations*
566. **[Bridging the gap with grad: Integrating active learning into semi-supervised domain generalization ↗](https://doi.org/10.1016/j.neunet.2023.12.017)**Jingwei Li, Yuan Li, Jie Tan et al.*4 citations*
567. **[CRESPR: Modular Sparsification of DNNs to Improve Pruning Performance and Model Interpretability ↗](https://doi.org/10.1016/j.neunet.2023.12.021)**Tianyu Kang, Wei Ding, Ping Chen*4 citations*
568. **[Collaborative bi-aggregation for directed graph embedding ↗](https://doi.org/10.1016/j.neunet.2023.05.024)**Linsong Liu, Kejia Chen, Zheng Liu*4 citations*
569. **[Decoding self-motion from visual image sequence predicts distinctive features of reflexive motor responses to visual motion ↗](https://doi.org/10.1016/j.neunet.2023.03.020)**Daiki Nakamura, Hiroaki Gomi*4 citations*
570. **[Enhanced regularization for on-chip training using analog and temporary memory weights ↗](https://doi.org/10.1016/j.neunet.2023.07.001)**Raghav Singhal, Vivek Saraswat, Shreyas Deshmukh et al.*4 citations*
571. **[Event fusion photometric stereo network ↗](https://doi.org/10.1016/j.neunet.2023.08.009)**Wonjeong Ryoo, Giljoo Nam, Jae‐Sang Hyun et al.*4 citations*
572. **[Exploring the role of texture features in deep convolutional neural networks: Insights from Portilla-Simoncelli statistics ↗](https://doi.org/10.1016/j.neunet.2023.09.028)**Yusuke Hamano, Shoko Nagasaka, Hayaru Shouno*4 citations*
573. **[Generating post-hoc explanations for Skip-gram-based node embeddings by identifying important nodes with bridgeness ↗](https://doi.org/10.1016/j.neunet.2023.04.029)**Hogun Park, Jennifer Neville*4 citations*
574. **[Growing dendrites enhance a neuron’s computational power and memory capacity ↗](https://doi.org/10.1016/j.neunet.2023.04.033)**William B. Levy, Robert A. Baxter*4 citations*
575. **[Improving transparency and representational generalizability through parallel continual learning ↗](https://doi.org/10.1016/j.neunet.2023.02.007)**Mahsa Paknezhad, Hamsawardhini Rengarajan, Chenghao Yuan et al.*4 citations*
576. **[Lower and upper bounds for numbers of linear regions of graph convolutional networks ↗](https://doi.org/10.1016/j.neunet.2023.09.025)**Hao Chen, Yu Guang Wang, Huan Xiong*4 citations*
577. **[NLS: An accurate and yet easy-to-interpret prediction method ↗](https://doi.org/10.1016/j.neunet.2023.02.043)**Victor Coscrato, Marco Henrique de Almeida Inácio, Tiago Botari et al.*4 citations*
578. **[Spatial oblivion channel attention targeting intra-class diversity feature learning ↗](https://doi.org/10.1016/j.neunet.2023.07.032)**Honggui Han, Qiyu Zhang, Fangyu Li et al.*4 citations*
579. **[Star algorithm for neural network ensembling ↗](https://doi.org/10.1016/j.neunet.2023.11.020)**Sergey Zinchenko, Dmitrii Lishudi*4 citations*
580. **[Synergetic learning for unknown nonlinear H∞ control using neural networks ↗](https://doi.org/10.1016/j.neunet.2023.09.029)**Liao Zhu, Ping Guo, Qinglai Wei*4 citations*
581. **[Task guided representation learning using compositional models for zero-shot domain adaptation ↗](https://doi.org/10.1016/j.neunet.2023.05.030)**Shuang Liu, Mete Özay*4 citations*
582. **[Warming up recurrent neural networks to maximise reachable multistability greatly improves learning ↗](https://doi.org/10.1016/j.neunet.2023.07.023)**Gaspard Lambrechts, Florent De Geeter, Nicolas Vecoven et al.*4 citations*
583. **[A continuation method for image registration based on dynamic adaptive kernel ↗](https://doi.org/10.1016/j.neunet.2023.06.025)**Yuandong Ma, Boyuan Wang, Hezheng Lin et al.*3 citations*
584. **[A reinforcement learning algorithm acquires demonstration from the training agent by dividing the task space ↗](https://doi.org/10.1016/j.neunet.2023.04.042)**Lipeng Zu, Xiao He, Jia Ni Yang et al.*3 citations*
585. **[A varying-parameter fixed-time gradient-based dynamic network for convex optimization ↗](https://doi.org/10.1016/j.neunet.2023.08.047)**Dan Wang, Xinwei Liu*3 citations*
586. **[Adaptive closed-loop paradigm of electrophysiology for neuron models ↗](https://doi.org/10.1016/j.neunet.2023.05.050)**Ming Yang, Jiang Wang, Shanshan Li et al.*3 citations*
587. **[An interactive cortical architecture for perceptual organization by accentuation ↗](https://doi.org/10.1016/j.neunet.2023.10.028)**Dražen Domijan, Mateja Marić*3 citations*
588. **[Analysis on the inherent noise tolerance of feedforward network and one noise-resilient structure ↗](https://doi.org/10.1016/j.neunet.2023.06.011)**Wenhao Lu, Zhengyuan Zhang, Qin Feng et al.*3 citations*
589. **[Approximation of classifiers by deep perceptron networks ↗](https://doi.org/10.1016/j.neunet.2023.06.004)**Věra Kůrková, Marcello Sanguineti*3 citations*
590. **[CHARLES: A C++ fixed-point library for Photonic-Aware Neural Networks ↗](https://doi.org/10.1016/j.neunet.2023.03.007)**Emilio Paolini, Lorenzo De Marinis, Luca Maggiani et al.*3 citations*
591. **[Communication-efficient federated learning with stagewise training strategy ↗](https://doi.org/10.1016/j.neunet.2023.08.033)**Yifei Cheng, Shuheng Shen, Xianfeng Liang et al.*3 citations*
592. **[Feature-wise scaling and shifting: Improving the generalization capability of neural networks through capturing independent information of features ↗](https://doi.org/10.1016/j.neunet.2023.11.040)**Tongfeng Sun, Xiurui Wang, Zhongnian Li et al.*3 citations*
593. **[Framework for Segmented threshold ℓ0 gradient approximation based network for sparse signal recovery ↗](https://doi.org/10.1016/j.neunet.2023.03.005)**V. Vivekanand, Deepak Mishra*3 citations*
594. **[Grounding spatial relations in text-only language models ↗](https://doi.org/10.1016/j.neunet.2023.11.031)**Gorka Azkune, Ander Salaberria, Eneko Agirre*3 citations*
595. **[Learning task-agnostic and interpretable subsequence-based representation of time series and its applications in fMRI analysis ↗](https://doi.org/10.1016/j.neunet.2023.03.038)**Wenjun Bai, Okito Yamashita, Junichiro Yoshimoto*3 citations*
596. **[Multidomain active defense: Detecting multidomain backdoor poisoned samples via ALL-to-ALL decoupling training without clean datasets ↗](https://doi.org/10.1016/j.neunet.2023.09.036)**Binhao Ma, Jiahui Wang, Dejun Wang et al.*3 citations*
597. **[Prediction of common labels for universal domain adaptation ↗](https://doi.org/10.1016/j.neunet.2023.05.057)**Xinxin Shan, Tai Ma, Ying Wen*3 citations*
598. **[Reconstructing controllable faces from brain activity with hierarchical multiview representations ↗](https://doi.org/10.1016/j.neunet.2023.07.016)**Ziqi Ren, Jie Li, Xuetong Xue et al.*3 citations*
599. **[Stable invariant models via Koopman spectra ↗](https://doi.org/10.1016/j.neunet.2023.05.040)**Takuya Konishi, Yoshinobu Kawahara*3 citations*
600. **[Towards global neural network abstractions with locally-exact reconstruction ↗](https://doi.org/10.1016/j.neunet.2023.06.002)**Edoardo Manino, Iury Valente de Bessa, Lucas Carvalho Cordeiro*3 citations*

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