| 2023 | Detecting and Repairing Deviated Outputs of Compressed Models. | Yichen Li, Qi Pang, Dongwei Xiao, Zhibo Liu, Shuai Wang |
| 2023 | FusionU-Net: U-Net with Enhanced Skip Connection for Pathology Image Segmentation. | Zongyi Li, Hongbing Lyu, Jun Wang |
| 2023 | Efficient Medical Images Text Detection with Vision-Language Pre-training Approach. | Tianyang Li, Jinxu Bai, Qingzhu Wang, Hanwen Xu |
| 2023 | Evolutionary Neural Architecture Search for Multivariate Time Series Forecasting. | Zixuan Liang, Yanan Sun |
| 2023 | SANGEA: Scalable and Attributed Network Generation. | Valentin Lemaire, Youssef Achenchabe, Lucas Ody, Houssem Eddine Souid, Gianmarco Aversano, Nicolas Posocco, Sabri Skhiri |
| 2023 | Facto-CNN: Memory-Efficient CNN Training with Low-rank Tensor Factorization and Lossy Tensor Compression. | Seungtae Lee, Jonghwan Ko, Seokin Hong |
| 2023 | Thompson Exploration with Best Challenger Rule in Best Arm Identification. | Jongyeong Lee, Junya Honda, Masashi Sugiyama |
| 2023 | Cross-Domain Relation Adaptation. | Ido Kessler, Omri Lifshitz, Sagie Benaim, Lior Wolf |
| 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 | 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 | Adaptive Riemannian stochastic gradient descent and reparameterization for Gaussian mixture model fitting. | Chunlin Ji, Yuhao Fu, Ping He |
| 2023 | Deep Kernel Regression with Finite Learnable Kernels. | Chunlin Ji, Yuhao Fu |
| 2023 | Provably Robust and Plausible Counterfactual Explanations for Neural Networks via Robust Optimisation. | Junqi Jiang, Jianglin Lan, Francesco Leofante, Antonio Rago, Francesca Toni |
| 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 | Reinforcement Learning for Solving Stochastic Vehicle Routing Problem. | Zangir Iklassov, Ikboljon Sobirov, Ruben Solozabal, Martin Takc |
| 2023 | Outlier Robust Adversarial Training. | Shu Hu, Zhenhuan Yang, Xin Wang, Yiming Ying, Siwei Lyu |
| 2023 | Probing Traffic Trend Forecasting via Spatial-Temporal Aware Learning-Graph Attention. | Xinyuan Huang, Qianqian Ren |
| 2023 | Temporal RPN Learning for Weakly-Supervised Temporal Action Localization. | Jing Huang, Ming Kong, Luyuan Chen, Tian Liang, Qiang Zhu |
| 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 | How GAN Generators can Invert Networks in Real-Time. | Rudolf Herdt, Maximilian Schmidt, Daniel Otero Baguer, Jean Le'Clerc Arrastia, Peter Maa |
| 2023 | Self Weighted Multiplex Modularity Maximization for Multiview Clustering. | Noureddine Henka, Mohamad Assaad, Sami Tazi |
| 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 | Harmonic-NAS: Hardware-Aware Multimodal Neural Architecture Search on Resource-constrained Devices. | Mohamed Imed Eddine Ghebriout, Halima Bouzidi, Smal Niar, Hamza Ouarnoughi |
| 2023 | Robust Image Classification via Using Multiple Diversity Losses. | Yi Fang, Wen-Hao Zheng, Qihui Wang, Xiao-Xin Li |
| 2023 | Deep Representation Learning for Prediction of Temporal Event Sets in the Continuous Time Domain. | Parag Dutta, Kawin Mayilvaghanan, Pratyaksha Sinha, Ambedkar Dukkipati |