Frederick Tung
13 papers · 2018–2025 · 5 conferences · across top CS/AI conferences
Achievements
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π Cross-Pollinator (13) π§ Keyword Pioneer π£ Hot Topic Early Bird π Conference Polyglot (5) π Academic Marathon (7)
π
Interdisciplinary Bridge
πΊοΈ
Taxonomy Completionist
(13)
π
Century Club
(13)
π
Conference Pioneer
Conferences
ICLR (4)
CVPR (3)
ECCV (2)
ICCV (2)
ICML (2)
Top co-authors
Keywords
knowledge distillation
(2)
continual learning
(1)
catastrophic forgetting
(1)
prototype learning
(1)
weakly supervised learning
(1)
network pruning
(1)
time series classification
(1)
dynamic time warping
(1)
false positive
(1)
deep neural network
(1)
imbalanced learning
(1)
generative adversarial network
(1)
filter pruning
(1)
weight quantization
(1)
representation space
(1)
action segmentation
(1)
weakly supervised
(1)
false positive reduction
(1)
activation pattern
(1)
network compression
(1)
Papers
Radar: Fast Long-Context Decoding for Any Transformer
ICLR 2025
Memory Efficient Neural Processes via Constant Memory Attention Block
ICML 2024
Tree Cross Attention
ICLR 2024
Forget Sharpness: Perturbed Forgetting of Model Biases Within SAM Dynamics
ICML 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
Multi-level Residual Networks from Dynamical Systems View
ICLR 2018
CLIP-Q: Deep Network Compression Learning by In-Parallel Pruning-Quantization
CVPR 2018
Constraint-Aware Deep Neural Network Compression
ECCV 2018