Frederick Tung
13 papers · 2018–2025 · 5 venues · across top CS/AI venues
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Achievements
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Research topics
Deep Learning
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Machine Learning
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Artificial Intelligence
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Optimization & Theory Β· Machine Learning
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Computer Vision
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Data Science & Analytics
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Keywords
knowledge distillation
(2)
cross attention
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image classification
(1)
catastrophic forgetting
(1)
information bottleneck
(1)
prototype learning
(1)
weakly supervised learning
(1)
false positive
(1)
tree structure
(1)
token selection
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model architecture
(1)
network pruning
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token efficiency
(1)
time series classification
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dynamic time warping
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attention mechanism
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time complexity
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generalization
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continual learning
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model compression
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Papers
Radar: Fast Long-Context Decoding for Any Transformer
ICLR 2025
Forget Sharpness: Perturbed Forgetting of Model Biases Within SAM Dynamics
ICML 2024
Memory Efficient Neural Processes via Constant Memory Attention Block
ICML 2024
Tree Cross Attention
ICLR 2024
Meta Temporal Point Processes
ICLR 2023
Ranking Regularization for Critical Rare Classes: Minimizing False Positives at a High True Positive Rate
CVPR 2023
Learning Discriminative Prototypes With Dynamic Time Warping
CVPR 2021
Piggyback GAN: Efficient Lifelong Learning for Image Conditioned Generation
ECCV 2020
Lifelong GAN: Continual Learning for Conditional Image Generation
ICCV 2019
Similarity-Preserving Knowledge Distillation
ICCV 2019
CLIP-Q: Deep Network Compression Learning by In-Parallel Pruning-Quantization
CVPR 2018
Constraint-Aware Deep Neural Network Compression
ECCV 2018
Multi-level Residual Networks from Dynamical Systems View
ICLR 2018