| 2025 | ICLR | Radar: Fast Long-Context Decoding for Any Transformer. | Yongchang Hao, Mengyao Zhai, Hossein Hajimirsadeghi, Sepidehsadat Hosseini, Frederick Tung |
| 2024 | ICLR | Tree Cross Attention. | Leo Feng, Frederick Tung, Hossein Hajimirsadeghi, Yoshua Bengio, Mohamed Osama Ahmed |
| 2024 | ICML | Memory Efficient Neural Processes via Constant Memory Attention Block. | Leo Feng, Frederick Tung, Hossein Hajimirsadeghi, Yoshua Bengio, Mohamed Osama Ahmed |
| 2024 | ICML | Forget Sharpness: Perturbed Forgetting of Model Biases Within SAM Dynamics. | Ankit Vani, Frederick Tung, Gabriel L. Oliveira, Hossein Sharifi-Noghabi |
| 2023 | CVPR | Ranking Regularization for Critical Rare Classes: Minimizing False Positives at a High True Positive Rate. | Kiarash Mohammadi, He Zhao, Mengyao Zhai, Frederick Tung |
| 2023 | CVPR | DynaShare: Task and Instance Conditioned Parameter Sharing for Multi-Task Learning. | Elahe Rahimian, Golara Javadi, Frederick Tung, Gabriel Leivas Oliveira |
| 2023 | ICLR | Meta Temporal Point Processes. | Wonho Bae, Mohamed Osama Ahmed, Frederick Tung, Gabriel L. Oliveira |
| 2022 | ICML | RankSim: Ranking Similarity Regularization for Deep Imbalanced Regression. | Yu Gong, Greg Mori, Frederick Tung |
| 2021 | CVPR | Learning Discriminative Prototypes With Dynamic Time Warping. | Xiaobin Chang, Frederick Tung, Greg Mori |
| 2020 | ECCV | Piggyback GAN: Efficient Lifelong Learning for Image Conditioned Generation. | Mengyao Zhai, Lei Chen, Jiawei He, Megha Nawhal, Frederick Tung, Greg Mori |
| 2019 | ICCV | Similarity-Preserving Knowledge Distillation. | Frederick Tung, Greg Mori |
| 2019 | ICCV | Lifelong GAN: Continual Learning for Conditional Image Generation. | Mengyao Zhai, Lei Chen, Frederick Tung, Jiawei He, Megha Nawhal, Greg Mori |
| 2018 | CVPR | CLIP-Q: Deep Network Compression Learning by In-Parallel Pruning-Quantization. | Frederick Tung, Greg Mori |
| 2018 | ECCV | Constraint-Aware Deep Neural Network Compression. | Changan Chen, Frederick Tung, Naveen Vedula, Greg Mori |
| 2018 | ICLR | Multi-level Residual Networks from Dynamical Systems View. | Bo Chang, Lili Meng, Eldad Haber, Frederick Tung, David Begert |
| 2018 | IROS | Exploiting Points and Lines in Regression Forests for RGB-D Camera Relocalization. | Lili Meng, Frederick Tung, James J. Little, Julien Valentin, Clarence W. de Silva |
| 2017 | BMVC | Fine-Pruning: Joint Fine-Tuning and Compression of a Convolutional Network with Bayesian Optimization. | Frederick Tung, Srikanth Muralidharan, Greg Mori |
| 2017 | IROS | Backtracking regression forests for accurate camera relocalization. | Lili Meng, Jianhui Chen, Frederick Tung, James J. Little, Julien Valentin, Clarence W. de Silva |
| 2017 | IROS | Autonomous mobile robot navigation in uneven and unstructured indoor environments. | Chaoqun Wang, Lili Meng, Sizhen She, Ian M. Mitchell, Teng Li, Frederick Tung, Weiwei Wan, Max Q.-H. Meng, Clarence W. de Silva |
| 2017 | ICRA | MF3D: Model-free 3D semantic scene parsing. | Frederick Tung, James J. Little |
| 2016 | ACCV | SSP: Supervised Sparse Projections for Large-Scale Retrieval in High Dimensions. | Frederick Tung, James J. Little |
| 2016 | BMVC | Exploiting Random RGB and Sparse Features for Camera Pose Estimation. | Lili Meng, Jianhui Chen, Frederick Tung, James J. Little, Clarence W. de Silva |
| 2016 | BMVC | Factorized Binary Codes for Large-Scale Nearest Neighbor Search. | Frederick Tung, James J. Little |
| 2015 | WACV | Bank of Quantization Models: A Data-Specific Approach to Learning Binary Codes for Large-Scale Retrieval Applications. | Frederick Tung, Julieta Martinez, Holger H. Hoos, James J. Little |
| 2014 | ECCV | CollageParsing: Nonparametric Scene Parsing by Adaptive Overlapping Windows. | Frederick Tung, James J. Little |