Tung, Frederick

22 publications

TMLR 2026 ADiff4TPP: Asynchronous Diffusion Models for Temporal Point Processes Amartya Mukherjee, Ruizhi Deng, He Zhao, Yuzhen Mao, Leonid Sigal, Frederick Tung

ICLR 2025 Radar: Fast Long-Context Decoding for Any Transformer Yongchang Hao, Mengyao Zhai, Hossein Hajimirsadeghi, Sepidehsadat Hosseini, Frederick Tung

TMLR 2024 AdaFlood: Adaptive Flood Regularization Wonho Bae, Yi Ren, Mohamed Osama Ahmed, Frederick Tung, Danica J. Sutherland, Gabriel L. Oliveira

ICML 2024 Forget Sharpness: Perturbed Forgetting of Model Biases Within SAM Dynamics Ankit Vani, Frederick Tung, Gabriel L. Oliveira, Hossein Sharifi-Noghabi

ICML 2024 Memory Efficient Neural Processes via Constant Memory Attention Block Leo Feng, Frederick Tung, Hossein Hajimirsadeghi, Yoshua Bengio, Mohamed Osama Ahmed

NeurIPSW 2024 Self-Supervised Pretext Tasks for Event Sequence Data from Detecting Misalignment Yimu Wang, He Zhao, Ruizhi Deng, Frederick Tung, Greg Mori

ICLR 2024 Tree Cross Attention Leo Feng, Frederick Tung, Hossein Hajimirsadeghi, Yoshua Bengio, Mohamed Osama Ahmed

ICMLW 2023 Constant Memory Attention Block Leo Feng, Frederick Tung, Hossein Hajimirsadeghi, Yoshua Bengio, Mohamed Osama Ahmed

CVPRW 2023 DynaShare: Task and Instance Conditioned Parameter Sharing for Multi-Task Learning Elahe Rahimian, Golara Javadi, Frederick Tung, Gabriel Leivas Oliveira

ICLR 2023 Meta Temporal Point Processes Wonho Bae, Mohamed Osama Ahmed, Frederick Tung, Gabriel L. Oliveira

CVPR 2023 Ranking Regularization for Critical Rare Classes: Minimizing False Positives at a High True Positive Rate Kiarash Mohammadi, He Zhao, Mengyao Zhai, Frederick Tung

ICMLW 2022 Self-Supervised Time Series Representation Learning with Temporal-Instance Similarity Distillation Ainaz Hajimoradlou, Leila Pishdad, Frederick Tung, Maryna Karpusha

CVPR 2021 Learning Discriminative Prototypes with Dynamic Time Warping Xiaobin Chang, Frederick Tung, Greg Mori

ECCV 2020 Piggyback GAN: Efficient Lifelong Learning for Image Conditioned Generation Mengyao Zhai, Lei Chen, Jiawei He, Megha Nawhal, Frederick Tung, Greg Mori

ICCVW 2019 Interpretable Spatio-Temporal Attention for Video Action Recognition Lili Meng, Bo Zhao, Bo Chang, Gao Huang, Wei Sun, Frederick Tung, Leonid Sigal

ICCV 2019 Lifelong GAN: Continual Learning for Conditional Image Generation Mengyao Zhai, Lei Chen, Frederick Tung, Jiawei He, Megha Nawhal, Greg Mori

ICCV 2019 Similarity-Preserving Knowledge Distillation Frederick Tung, Greg Mori

CVPR 2018 CLIP-Q: Deep Network Compression Learning by In-Parallel Pruning-Quantization Frederick Tung, Greg Mori

ECCV 2018 Constraint-Aware Deep Neural Network Compression Changan Chen, Frederick Tung, Naveen Vedula, Greg Mori

ICLR 2018 Multi-Level Residual Networks from Dynamical Systems View Bo Chang, Lili Meng, Eldad Haber, Frederick Tung, David Begert

WACV 2015 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

ECCV 2014 CollageParsing: Nonparametric Scene Parsing by Adaptive Overlapping Windows Frederick Tung, James J. Little