Michael Lam
5 papers · 2015–2020 · 3 venues · across top CS/AI venues
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Achievements
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🌍
Conference Polyglot · Bronze
🏃
Academic Marathon · Sprint
🌉
Interdisciplinary Bridge · Bronze
🗺️
Taxonomy Completionist
(20)
🐣
Hot Topic Early Bird
Top co-authors
Research topics
Machine Learning
(5)
Computer Vision
(3)
Deep Learning
(3)
Core Methods
(3)
Artificial Intelligence
(2)
Analysis
(2)
Learning Paradigms · Artificial Intelligence
(2)
Learning Types · Deep Learning
(2)
Application Areas
(1)
Architectures
(1)
Core AI
(1)
Learning Paradigms · Machine Learning
(1)
Learning Types · Machine Learning
(1)
Processing
(1)
Techniques
(1)
Keywords
long short-term memory
(2)
image classification
(2)
transfer learning
(2)
structured prediction
(1)
object detection
(1)
depth estimation
(1)
monocular depth estimation
(1)
fine-grained classification
(1)
fisher information
(1)
visual attention
(1)
scene labeling
(1)
hyperparameter tuning
(1)
fine-grained recognition
(1)
convolutional neural network
(1)
video summarization
(1)
feature map
(1)
pre-trained model
(1)
generative adversarial network
(1)
hierarchical search
(1)
feature extractor
(1)
Papers
Rethinking the Hyperparameters for Fine-tuning
ICLR 2020
Task2Vec: Task Embedding for Meta-Learning
ICCV 2019
Fine-Grained Recognition as HSnet Search for Informative Image Parts
CVPR 2017
Unsupervised Video Summarization With Adversarial LSTM Networks
CVPR 2017
HC-Search for Structured Prediction in Computer Vision
CVPR 2015