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Publication search results
found 115 matches
- 2023
- Lei Ju, Zhenhua Feng, Muhammad Awais, Josef Kittler:
Ada2NPT: An Adaptive Nearest Proxies Triplet Loss for Attribute-Aware Face Recognition with Adaptively Compacted Feature Learning. ACML 2023: 614-629 - Abhishek Tiwari, Ananya Singhal, Saurabh J. Shigwan, Rajeev Kumar Singh:
Early Diagnosis of Alzheimer through Swin-Transformer-Based Deep Learning Framework using Sparse Diffusion Measures. ACML 2023: 1369-1384 - Yuhang Song, Anh Nguyen, Chun-Yi Lee:
Learning to Terminate in Object Navigation. ACML 2023: 1247-1262 - Ke Sun, Bing Yu, Zhouchen Lin, Zhanxing Zhu:
Patch-level Neighborhood Interpolation: A General and Effective Graph-based Regularization Strategy. ACML 2023: 1276-1291 - Raha Ahmadi, Mohammad Javad Rajabi, Mohammad Khalooei, Mohammad Sabokrou:
Mitigating Bias: Enhancing Image Classification by Improving Model Explanations. ACML 2023: 1-14 - Hilal AlQuabeh, Bhaskar Mukhoty, Bin Gu:
Variance Reduced Online Gradient Descent for Kernelized Pairwise Learning with Limited Memory. ACML 2023: 28-43 - Ameen Ali, Lior Wolf, Hakan Cevikalp:
Degree-based stratification of nodes in Graph Neural Networks. ACML 2023: 15-27 - R. N. Anjani, C. H. Sarvani, K. Kalyan Deep, P. Aravinda Kumar, Sitiraju Srinivasa Rao:
Ted: Tree delineation with reduced dimensions using entropy and deep learning. ACML 2023: 44-57 - Kai Arulkumaran, Dan Ogawa Lillrank:
A Pragmatic Look at Deep Imitation Learning. ACML 2023: 58-73 - Dowoo Baik, Ji Won Yoon:
Equilibrium Point Learning. ACML 2023: 74-89 - Mohamad Ballout, Ulf Krumnack, Gunther Heidemann, Kai-Uwe Kühnberger:
Show Me How It's Done: The Role of Explanations in Fine-Tuning Language Models. ACML 2023: 90-105 - Gulcin Baykal, Halil Faruk Karagoz, Taha Binhuraib, Gozde Unal:
ProtoDiffusion: Classifier-Free Diffusion Guidance with Prototype Learning. ACML 2023: 106-120 - Luca Begnardi, Hendrik Baier, Willem van Jaarsveld, Yingqian Zhang:
Deep Reinforcement Learning for Two-sided Online Bipartite Matching in Collaborative Order Picking. ACML 2023: 121-136 - Yanzhe Bekkemoen, Helge Langseth:
ASAP: Attention-Based State Space Abstraction for Policy Summarization. ACML 2023: 137-152 - Shrey Bhatt, Aishwarya Gupta, Piyush Rai:
Federated Learning with Uncertainty via Distilled Predictive Distributions. ACML 2023: 153-168 - Dexin Bian, Xiaoru Wang, Meifang Li:
Diffusion-based Visual Representation Learning for Medical Question Answering. ACML 2023: 169-184 - Nicolas Bougie, Daria Vazhenina, Narimasa Watanabe:
Lost and Found: How Self-Supervised Learning Helps GPS Coordinates Find Their Way. ACML 2023: 185-200 - Omer Veysel Cagatan, Baris Akgün:
BarlowRL: Barlow Twins for Data-Efficient Reinforcement Learning. ACML 2023: 201-216 - Hakan Cevikalp, Hasan Serhan Yavuz, Hasan Saribas:
Deep Uniformly Distributed Centers on a Hypersphere for Open Set Recognition. ACML 2023: 217-230 - Haotian Chen, Yijiang Chen, Xiangdong Zhou:
Understanding More Knowledge Makes the Transformer Perform Better in Document-level Relation Extraction. ACML 2023: 231-246 - Samet Demir, Zafer Dogan:
Optimal Nonlinearities Improve Generalization Performance of Random Features. ACML 2023: 247-262 - Zihao Deng, Benjamin Ghaemmaghami, Ashish Kumar Singh, Benjamin Y. Cho, Leo Orshansky, Mattan Erez, Michael Orshansky:
Enhancing Cross-Category Learning in Recommendation Systems with Multi-Layer Embedding Training. ACML 2023: 263-278 - Wenmin Deng, Jing Zhang, Peng Zhang, Yitong Yao, Hui Gao, Yurui Zhang:
Hyper-Label-Graph: Modeling Branch-Level Dependencies of Labels for Hierarchical Multi-Label Text Classification. ACML 2023: 279-294 - Stefan Denkovski, Shehroz S. Khan, Alex Mihailidis:
Temporal Shift - Multi-Objective Loss Function for Improved Anomaly Fall Detection. ACML 2023: 295-310 - Ruiqi Ding, Tao Li, Xiaolin Huang:
Better Loss Landscape Visualization for Deep Neural Networks with Trajectory Information. ACML 2023: 311-326 - Meng Dong:
Pedestrian Cross Forecasting with Hybrid Feature Fusion. ACML 2023: 327-342 - Parag Dutta, Kawin Mayilvaghanan, Pratyaksha Sinha, Ambedkar Dukkipati:
Deep Representation Learning for Prediction of Temporal Event Sets in the Continuous Time Domain. ACML 2023: 343-358 - Yi Fang, Wen-Hao Zheng, Qihui Wang, Xiao-Xin Li:
Robust Image Classification via Using Multiple Diversity Losses. ACML 2023: 359-373 - Mohamed Imed Eddine Ghebriout, Halima Bouzidi, Smaïl Niar, Hamza Ouarnoughi:
Harmonic-NAS: Hardware-Aware Multimodal Neural Architecture Search on Resource-constrained Devices. ACML 2023: 374-389 - Ming Gu, Yan Yang, Chengcai Chen, Zhou Yu:
State Value Generation with Prompt Learning and Self-Training for Low-Resource Dialogue State Tracking. ACML 2023: 390-405
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