| 2023 | A Corrected Expected Improvement Acquisition Function Under Noisy Observations. Han Zhou, Xingchen Ma, Matthew B. Blaschko |
| 2023 | A Mixed-Precision Quantization Method without Accuracy Degradation Using Semilayers. Kengo Matsumoto, Tomoya Matsuda, Atsuki Inoue, Hiroshi Kawaguchi, Yasufumi Sakai |
| 2023 | A Multi-Surrogate Assisted Salp Swarm Feature Selection Algorithm with Multi-Population Adaptive Generation Strategy for Classification. Zikang Yu, Hongbin Dong, Tianyu Guo, Bingxu Zhao |
| 2023 | A New Perspective On the Expressive Equivalence Between Graph Convolution and Attention Models. Dai Shi, Zhiqi Shao, Andi Han, Yi Guo, Junbin Gao |
| 2023 | A Novel Counterfactual Data Augmentation Method for Aspect-Based Sentiment Analysis. Dongming Wu, Lulu Wen, Chao Chen, Zhaoshu Shi |
| 2023 | A Partially Observable Monte Carlo Planning Algorithm Based on Path Modification. Qingya Wang, Feng Liu, Bin Luo |
| 2023 | A Pragmatic Look at Deep Imitation Learning. Kai Arulkumaran, Dan Ogawa Lillrank |
| 2023 | A Simple and General Binarization Method for Image Restoration Neural Networks. Mengxue Wang, Yue Zhang, Xiaodong Zhang, Run Min |
| 2023 | ASAP: Attention-Based State Space Abstraction for Policy Summarization. Yanzhe Bekkemoen, Helge Langseth |
| 2023 | Active Level Set Estimation for Continuous Search Space with Theoretical Guarantee. Giang Ngo, Dang Nguyen, Dat Phan-Trong, Sunil Gupta |
| 2023 | Ada Lei Ju, Zhenhua Feng, Muhammad Awais, Josef Kittler |
| 2023 | Adaptive Riemannian stochastic gradient descent and reparameterization for Gaussian mixture model fitting. Chunlin Ji, Yuhao Fu, Ping He |
| 2023 | Advancing Deep Metric Learning With Adversarial Robustness. Inderjeet Singh, Kazuya Kakizaki, Toshinori Araki |
| 2023 | Asian Conference on Machine Learning, ACML 2023, 11-14 November 2023, Istanbul, Turkey. Berrin Yanikoglu, Wray L. Buntine |
| 2023 | Attributed Graph Subspace Clustering with Graph-Boosting. Wang Li, En Zhu, Siwei Wang, Xifeng Guo |
| 2023 | Augment to Interpret: Unsupervised and Inherently Interpretable Graph Embeddings. Gregory Scafarto, Madalina Ciortan, Simon Tihon, Quentin Ferre |
| 2023 | Automatic Segmentation of Aortic and Mitral Valves for Heart Surgical Planning of Hypertrophic Obstructive Cardiomyopathy. Limin Zheng, Hongyu Chen, Lu Qing, Jian Zhuang, Bo Meng, Xiaowei Xu |
| 2023 | BarlowRL: Barlow Twins for Data-Efficient Reinforcement Learning. Omer Veysel Cagatan, Baris Akgün |
| 2023 | Better Loss Landscape Visualization for Deep Neural Networks with Trajectory Information. Ruiqi Ding, Tao Li, Xiaolin Huang |
| 2023 | Can Infinitely Wide Deep Nets Help Small-data Multi-label Learning? Guoqiang Wu, Jun Zhu |
| 2023 | Cell Variational Information Bottleneck Network. Zhonghua Zhai |
| 2023 | Cross-Domain Relation Adaptation. Ido Kessler, Omri Lifshitz, Sagie Benaim, Lior Wolf |
| 2023 | DENL: Diverse Ensemble and Noisy Logits for Improved Robustness of Neural Networks. Mina Yazdani, Hamed Karimi, Reza Samavi |
| 2023 | Decouple then Combine: A Simple and Effective Framework for Fraud Transaction Detection. Pengwei Tang, Huayi Tang, Wenhan Wang, Hanjing Su, Yong Liu |
| 2023 | Deep Kernel Regression with Finite Learnable Kernels. Chunlin Ji, Yuhao Fu |
| 2023 | Deep Reinforcement Learning for Two-sided Online Bipartite Matching in Collaborative Order Picking. Luca Begnardi, Hendrik Baier, Willem van Jaarsveld, Yingqian Zhang |
| 2023 | Deep Representation Learning for Prediction of Temporal Event Sets in the Continuous Time Domain. Parag Dutta, Kawin Mayilvaghanan, Pratyaksha Sinha, Ambedkar Dukkipati |
| 2023 | Deep Traffic Benchmark: Aerial Perception and Driven Behavior Dataset. Guoxing Zhang, Qiuping Li, Yiming Liu, Zhanpeng Wang, Yuanqi Chen, Wenrui Cai, Weiye Zhang, Bingting Guo, Zhi Zeng, Jiasong Zhu |
| 2023 | Deep Uniformly Distributed Centers on a Hypersphere for Open Set Recognition. Hakan Cevikalp, Hasan Serhan Yavuz, Hasan Saribas |
| 2023 | Degree-based stratification of nodes in Graph Neural Networks. Ameen Ali, Lior Wolf, Hakan Cevikalp |
| 2023 | Detecting and Repairing Deviated Outputs of Compressed Models. Yichen Li, Qi Pang, Dongwei Xiao, Zhibo Liu, Shuai Wang |
| 2023 | Diffusion-based Visual Representation Learning for Medical Question Answering. Dexin Bian, Xiaoru Wang, Meifang Li |
| 2023 | Distilling Influences to Mitigate Prediction Churn in Graph Neural Networks. Andreas Roth, Thomas Liebig |
| 2023 | Domain Generalization with Interpolation Robustness. Ragja Palakkadavath, Thanh Nguyen-Tang, Hung Le, Svetha Venkatesh, Sunil Gupta |
| 2023 | Dynamic Offset Metric on Heterogeneous Information Networks for Cold-start Recommendation. Mingshi Liu, Xiaoru Wang, Zhihong Yu, Fu Li |
| 2023 | Early Diagnosis of Alzheimer through Swin-Transformer-Based Deep Learning Framework using Sparse Diffusion Measures. Abhishek Tiwari, Ananya Singhal, Saurabh J. Shigwan, Rajeev Kumar Singh |
| 2023 | Edit-A-Video: Single Video Editing with Object-Aware Consistency. Chaehun Shin, Heeseung Kim, Che Hyun Lee, Sang-gil Lee, Sungroh Yoon |
| 2023 | Efficient Medical Images Text Detection with Vision-Language Pre-training Approach. Tianyang Li, Jinxu Bai, Qingzhu Wang, Hanwen Xu |
| 2023 | Empirical Study of Federated Unlearning: Efficiency and Effectiveness. Thai-Hung Nguyen, Hong-Phuc Vu, Thuy Dung Nguyen, Tuan Minh Nguyen, Khoa D. Doan, Kok-Seng Wong |
| 2023 | Enhancing Cross-Category Learning in Recommendation Systems with Multi-Layer Embedding Training. Zihao Deng, Benjamin Ghaemmaghami, Ashish Kumar Singh, Benjamin Y. Cho, Leo Orshansky, Mattan Erez, Michael Orshansky |
| 2023 | Enhancing Model Generalization of Cervical Fluid-Based Cell Detection through Causal Feature Extraction: A Novel Method. Qiao Pan, Bin Yang, Dehua Chen, Mei Wang |
| 2023 | Equilibrium Point Learning. Dowoo Baik, Ji Won Yoon |
| 2023 | Estimation of Counterfactual Interventions under Uncertainties. Juliane Weilbach, Sebastian Gerwinn, Melih Kandemir, Martin Fränzle |
| 2023 | Evolutionary Neural Architecture Search for Multivariate Time Series Forecasting. Zixuan Liang, Yanan Sun |
| 2023 | Facto-CNN: Memory-Efficient CNN Training with Low-rank Tensor Factorization and Lossy Tensor Compression. Seungtae Lee, Jonghwan Ko, Seokin Hong |
| 2023 | Faster Target Encirclement with Utilization of Obstacles via Multi-Agent Reinforcement Learning. Yuxi Zheng, Yongjun Zhang, Chenran Zhao, Huanhuan Yang, Tongyue Li, Qianying Ouyang, Ying Chen |
| 2023 | FasterVoxelPose+: Fast and Accurate Voxel-based 3D Human Pose Estimation by Depth-wise Projection Decay. Zonghuang Zhuang, Yue Zhou |
| 2023 | Federated Learning with Uncertainty via Distilled Predictive Distributions. Shrey Bhatt, Aishwarya Gupta, Piyush Rai |
| 2023 | Folded Hamiltonian Monte Carlo for Bayesian Generative Adversarial Networks. Narges Pourshahrokhi, Yunpeng Li, Samaneh Kouchaki, Payam M. Barnaghi |
| 2023 | Free Energy of Bayesian Convolutional Neural Network with Skip Connection. Shuya Nagayasu, Sumio Watanabe |
| 2023 | Frequency-dependent Image Reconstruction Error for Micro Defect Detection. Yuhei Nomura, Hirotaka Hachiya |
| 2023 | FusionU-Net: U-Net with Enhanced Skip Connection for Pathology Image Segmentation. Zongyi Li, Hongbing Lyu, Jun Wang |
| 2023 | GWQ: Group-Wise Quantization Framework for Neural Networks. Jiaming Yang, Chenwei Tang, Caiyang Yu, Jiancheng Lv |
| 2023 | Generative Semi-supervised Learning with Meta-Optimized Synthetic Samples. Shin'ya Yamaguchi |
| 2023 | Graph Contrastive Learning with Group Whitening. Chunhui Zhang, Rui Miao |
| 2023 | Graph Structure Learning via Lottery Hypothesis at Scale. Yuxin Wang, Xiannian Hu, Jiaqing Xie, Zhangyue Yin, Yunhua Zhou, Xipeng Qiu, Xuanjing Huang |
| 2023 | Harmonic-NAS: Hardware-Aware Multimodal Neural Architecture Search on Resource-constrained Devices. Mohamed Imed Eddine Ghebriout, Halima Bouzidi, Smaïl Niar, Hamza Ouarnoughi |
| 2023 | How GAN Generators can Invert Networks in Real-Time. Rudolf Herdt, Maximilian Schmidt, Daniel Otero Baguer, Jean Le'Clerc Arrastia, Peter Maaß |
| 2023 | Hybrid Convolution Method for Graph Classification Using Hierarchical Topology Feature. Jiangfeng Sun, Xinyue Lin, Fangyu Hao, Meina Song |
| 2023 | Hyper-Label-Graph: Modeling Branch-Level Dependencies of Labels for Hierarchical Multi-Label Text Classification. Wenmin Deng, Jing Zhang, Peng Zhang, Yitong Yao, Hui Gao, Yurui Zhang |
| 2023 | Improving Denoising Diffusion Models via Simultaneous Estimation of Image and Noise. Zhenkai Zhang, Krista A. Ehinger, Tom Drummond |
| 2023 | Intractability of Learning the Discrete Logarithm with Gradient-Based Methods. Rustem Takhanov, Maxat Tezekbayev, Artur Pak, Arman Bolatov, Zhibek Kadyrsizova, Zhenisbek Assylbekov |
| 2023 | K-Truss Based Temporal Graph Convolutional Network for Dynamic Graphs. Hongxi Li, Zuxuan Zhang, Dengzhe Liang, Yuncheng Jiang |
| 2023 | KURL: A Knowledge-Guided Reinforcement Learning Model for Active Object Tracking. Xin Liu, Jie Tan, Xiaoguang Ren, Weiya Ren, Huadong Dai |
| 2023 | Learning to Terminate in Object Navigation. Yuhang Song, Anh Nguyen, Chun-Yi Lee |
| 2023 | Logarithmic regret in communicating MDPs: Leveraging known dynamics with bandits. Hassan Saber, Fabien Pesquerel, Odalric-Ambrym Maillard, Mohammad Sadegh Talebi |
| 2023 | Long-Range Graph U-Nets: Node and Edge Clustering Pooling Model For Stroke Classification in Online Handwritten Documents. Muwu Yao, Shuang She, Jinrong Li, Jianmin Lin, Ming Yang, Hongxing Peng |
| 2023 | Lost and Found: How Self-Supervised Learning Helps GPS Coordinates Find Their Way. Nicolas Bougie, Daria Vazhenina, Narimasa Watanabe |
| 2023 | Maximization of Minimum Weighted Hamming Distance between Set Pairs. Tatsuya Matsuoka, Shinji Ito |
| 2023 | Mem-Rec: Memory Efficient Recommendation System using Alternative Representation. Gopi Krishna Jha, Anthony Thomas, Nilesh Jain, Sameh Gobriel, Tajana Rosing, Ravi R. Iyer |
| 2023 | Meta-forests: Domain generalization on random forests with meta-learning. Yuyang Sun, Panagiotis Kosmas |
| 2023 | Mitigating Bias: Enhancing Image Classification by Improving Model Explanations. Raha Ahmadi, Mohammad Javad Rajabi, Mohammad Khalooei, Mohammad Sabokrou |
| 2023 | Multi-behavior Session-based Recommendation via Graph Reinforcement Learning. Shuo Qin, Feng Lin, Lingxiao Xu, Bowen Deng, Siwen Li, Fancheng Yang |
| 2023 | Multi-objective Adaptive Dynamics Attention Model to Solve Multi-objective Vehicle Routing Problem. Guang Luo, Jianping Luo |
| 2023 | Optimal Nonlinearities Improve Generalization Performance of Random Features. Samet Demir, Zafer Dogan |
| 2023 | Outlier Robust Adversarial Training. Shu Hu, Zhenhuan Yang, Xin Wang, Yiming Ying, Siwei Lyu |
| 2023 | Overcoming catastrophic forgetting with classifier expander. Xinchen Liu, Hongbo Wang, Yingjian Tian, Linyao Xie |
| 2023 | Patch-level Neighborhood Interpolation: A General and Effective Graph-based Regularization Strategy. Ke Sun, Bing Yu, Zhouchen Lin, Zhanxing Zhu |
| 2023 | Pedestrian Cross Forecasting with Hybrid Feature Fusion. Meng Dong |
| 2023 | Preface. |
| 2023 | Probing Traffic Trend Forecasting via Spatial-Temporal Aware Learning-Graph Attention. Xinyuan Huang, Qianqian Ren |
| 2023 | ProtoDiffusion: Classifier-Free Diffusion Guidance with Prototype Learning. Gulcin Baykal, Halil Faruk Karagoz, Taha Binhuraib, Gozde Unal |
| 2023 | Prototypical Model with Information-Theoretic Loss Functions for Generalized Zero-Shot Learning. Chunlin Ji, Zhan Xiong, Meiying Zhang, Huiwen Yang, Feng Chen, Hanchun Shen |
| 2023 | Provably Robust and Plausible Counterfactual Explanations for Neural Networks via Robust Optimisation. Junqi Jiang, Jianglin Lan, Francesco Leofante, Antonio Rago, Francesca Toni |
| 2023 | Q-Match: Self-Supervised Learning by Matching Distributions Induced by a Queue. Thomas Mulc, Debidatta Dwibedi |
| 2023 | Reinforcement Learning for Solving Stochastic Vehicle Routing Problem. Zangir Iklassov, Ikboljon Sobirov, Ruben Solozabal, Martin Takác |
| 2023 | Remote Wildfire Detection using Multispectral Satellite Imagery and Vision Transformers. Ryan Rad |
| 2023 | Revisiting Structured Dropout. Yiren Zhao, Oluwatomisin Dada, Robert Mullins, Xitong Gao |
| 2023 | Robust Blind Watermarking Framework for Hybrid Networks Combining CNN and Transformer. Baowei Wang, Ziwei Song, Yufeng Wu |
| 2023 | Robust Image Classification via Using Multiple Diversity Losses. Yi Fang, Wen-Hao Zheng, Qihui Wang, Xiao-Xin Li |
| 2023 | SANGEA: Scalable and Attributed Network Generation. Valentin Lemaire, Youssef Achenchabe, Lucas Ody, Houssem Eddine Souid, Gianmarco Aversano, Nicolas Posocco, Sabri Skhiri |
| 2023 | SART-Res-UNet: Fan Beam CT Image Reconstruction from Limited Projections using attention-enabled residual U-Net. Harika Jinka, Jyothsna Shaji, Sangeeth John, Sreeraj R. Menon, Amalu Pradeep, P. B. Jayaraj, Pournami P. N, Niyas Puzhakkal |
| 2023 | Selective Nonparametric Regression via Testing. Fedor Noskov, Alexander Fishkov, Maxim Panov |
| 2023 | Self Weighted Multiplex Modularity Maximization for Multiview Clustering. Noureddine Henka, Mohamad Assaad, Sami Tazi |
| 2023 | Self-supervised Example Difficulty Balancing for Local Descriptor Learning. Jiahan Zhang, Dayong Tian, Tianyang Wu, Yiqin Cao, Yaoqi Du, Yiwen Wei |
| 2023 | Show Me How It's Done: The Role of Explanations in Fine-Tuning Language Models. Mohamad Ballout, Ulf Krumnack, Gunther Heidemann, Kai-Uwe Kühnberger |
| 2023 | Simple and Efficient Vision Backbone Adapter for Image Semantic Segmentation. Dingjie Peng, Wataru Kameyama |
| 2023 | Single Image Super-resolution Based On Non-subsampled Shearlet Transform. Ming Tan, Liang Chen, Xuan Wu, Yi Wu |
| 2023 | State Value Generation with Prompt Learning and Self-Training for Low-Resource Dialogue State Tracking. Ming Gu, Yan Yang, Chengcai Chen, Zhou Yu |
| 2023 | TFAN: Temporal-Feature correlations Attention-based Network for Urban Air Quality Prediction using Data Fusion technology. Siyuan Ma, Fan Zhang, Wanli Hou, Yarui Li, Wei Song |
| 2023 | Ted: Tree delineation with reduced dimensions using entropy and deep learning. R. N. Anjani, C. H. Sarvani, K. Kalyan Deep, P. Aravinda Kumar, Sitiraju Srinivasa Rao |
| 2023 | Temporal RPN Learning for Weakly-Supervised Temporal Action Localization. Jing Huang, Ming Kong, Luyuan Chen, Tian Liang, Qiang Zhu |
| 2023 | Temporal Shift - Multi-Objective Loss Function for Improved Anomaly Fall Detection. Stefan Denkovski, Shehroz S. Khan, Alex Mihailidis |
| 2023 | The Fine Print on Tempered Posteriors. Konstantinos Pitas, Julyan Arbel |
| 2023 | The Importance of Anti-Aliasing in Tiny Object Detection. Jinlai Ning, Michael W. Spratling |
| 2023 | Thompson Exploration with Best Challenger Rule in Best Arm Identification. Jongyeong Lee, Junya Honda, Masashi Sugiyama |
| 2023 | Towards Better Explanations for Object Detection. Van Binh Truong, Truong Thanh Hung Nguyen, Vo Thanh Khang Nguyen, Quoc Khanh Nguyen, Quoc Hung Cao |
| 2023 | Towards Human-Like RL: Taming Non-Naturalistic Behavior in Deep RL via Adaptive Behavioral Costs in 3D Games. Kuo-Hao Ho, Ping-Chun Hsieh, Chiu-Chou Lin, You-Ren Luo, Feng-Jian Wang, I-Chen Wu |
| 2023 | Training a General Spiking Neural Network with Improved Efficiency and Minimum Latency. Yunpeng Yao, Man Wu, Zheng Chen, Renyuan Zhang |
| 2023 | Transformed Gaussian Processes for Characterizing a Model's Discrepancy. Aurélien Nioche, Ville Tanskanen, Marcelo Hartmann, Arto Klami |
| 2023 | Understanding More Knowledge Makes the Transformer Perform Better in Document-level Relation Extraction. Haotian Chen, Yijiang Chen, Xiangdong Zhou |
| 2023 | Unleashing the Power of High-pass Filtering in Continuous Graph Neural Networks. Acong Zhang, Ping Li |
| 2023 | Unveiling the Power of Self-Attention for Shipping Cost Prediction: The Rate Card Transformer. P. Aditya Sreekar, Sahil Verma, Varun Madhavan, Abhishek Persad |
| 2023 | VMLC: Statistical Process Control for Image Classification in Manufacturing. Philipp Mascha |
| 2023 | Variance Reduced Online Gradient Descent for Kernelized Pairwise Learning with Limited Memory. Hilal AlQuabeh, Bhaskar Mukhoty, Bin Gu |