| 2023 | Pedestrian Cross Forecasting with Hybrid Feature Fusion. | Meng Dong |
| 2023 | Better Loss Landscape Visualization for Deep Neural Networks with Trajectory Information. | Ruiqi Ding, Tao Li, Xiaolin Huang |
| 2023 | Temporal Shift - Multi-Objective Loss Function for Improved Anomaly Fall Detection. | Stefan Denkovski, Shehroz S. Khan, Alex Mihailidis |
| 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 | 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 | Optimal Nonlinearities Improve Generalization Performance of Random Features. | Samet Demir, Zafer Dogan |
| 2023 | Understanding More Knowledge Makes the Transformer Perform Better in Document-level Relation Extraction. | Haotian Chen, Yijiang Chen, Xiangdong Zhou |
| 2023 | Deep Uniformly Distributed Centers on a Hypersphere for Open Set Recognition. | Hakan Cevikalp, Hasan Serhan Yavuz, Hasan Saribas |
| 2023 | BarlowRL: Barlow Twins for Data-Efficient Reinforcement Learning. | Omer Veysel Cagatan, Baris Akgn |
| 2023 | Lost and Found: How Self-Supervised Learning Helps GPS Coordinates Find Their Way. | Nicolas Bougie, Daria Vazhenina, Narimasa Watanabe |
| 2023 | Diffusion-based Visual Representation Learning for Medical Question Answering. | Dexin Bian, Xiaoru Wang, Meifang Li |
| 2023 | Federated Learning with Uncertainty via Distilled Predictive Distributions. | Shrey Bhatt, Aishwarya Gupta, Piyush Rai |
| 2023 | ASAP: Attention-Based State Space Abstraction for Policy Summarization. | Yanzhe Bekkemoen, Helge Langseth |
| 2023 | Deep Reinforcement Learning for Two-sided Online Bipartite Matching in Collaborative Order Picking. | Luca Begnardi, Hendrik Baier, Willem van Jaarsveld, Yingqian Zhang |
| 2023 | ProtoDiffusion: Classifier-Free Diffusion Guidance with Prototype Learning. | Gulcin Baykal, Halil Faruk Karagoz, Taha Binhuraib, Gozde Unal |
| 2023 | Show Me How It's Done: The Role of Explanations in Fine-Tuning Language Models. | Mohamad Ballout, Ulf Krumnack, Gunther Heidemann, Kai-Uwe Khnberger |
| 2023 | Equilibrium Point Learning. | Dowoo Baik, Ji Won Yoon |
| 2023 | A Pragmatic Look at Deep Imitation Learning. | Kai Arulkumaran, Dan Ogawa Lillrank |
| 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 | Variance Reduced Online Gradient Descent for Kernelized Pairwise Learning with Limited Memory. | Hilal AlQuabeh, Bhaskar Mukhoty, Bin Gu |
| 2023 | Degree-based stratification of nodes in Graph Neural Networks. | Ameen Ali, Lior Wolf, Hakan Cevikalp |
| 2023 | Mitigating Bias: Enhancing Image Classification by Improving Model Explanations. | Raha Ahmadi, Mohammad Javad Rajabi, Mohammad Khalooei, Mohammad Sabokrou |
| 2023 | Patch-level Neighborhood Interpolation: A General and Effective Graph-based Regularization Strategy. | Ke Sun, Bing Yu, Zhouchen Lin, Zhanxing Zhu |
| 2023 | Learning to Terminate in Object Navigation. | Yuhang Song, Anh Nguyen, Chun-Yi Lee |
| 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 |