Machine Learning Reading Group@Aberdeen

Previous Meetings

Jun. 25th, 2018PaperTransformerAttention Is All You Need
Jul. 2nd, 2018PaperTransformer1. Improving Language Understanding by Generative Pre-Training
2. Improving Language Understanding with Unsupervised Learning (Blog)
3. The Annotated Transformer (Blog)
4. The Transformer – Attention is all you need (Blog)
5. Visualizing A Neural Machine Translation Model (Mechanics of Seq2seq Models With Attention) (Blog)
6. The Illustrated Transformer (Blog)
7. Attention? Attention!
Jul. 9th, 2018PaperTransformerAttention Is All You Need (Video)
Jul. 16th, 2018PaperIntrospective Convolutional Networks (ICN)Introspective Classification with Convolutional Nets
Jul. 23rd, 2018PaperGenerative Adversarial Nets (GAN)1. Generative Adversarial Nets
2. NIPS 2016 Workshop on Adversarial Training - Ian Goodfellow - Introduction to GANs (Short Video)
3. NIPS 2016 - Generative Adversarial Networks - Ian Goodfellow (Long Video)
Jul. 30th, 2018
Aug. 6th, 2018
PresentationGenerative Adversarial Nets (GAN)1. Slide
2. IJCAI-ECAI-2018-Deep Generative Models
3. CVPR 2018 Tutorial on GANs
Aug. 13rd, 2018BookDeep Learning with Python1. The limitations of deep learning
2. The future of deep learning
Aug. 20th, 2018PaperAutoML1. Efficient Neural Architecture Search via Parameter Sharing
2. Using Machine Learning to Explore Neural Network Architecture
3. NLP’s ImageNet moment has arrived
4. AutoML for large scale image classification and object detection
5. Google Brain - Neural Architecture Search - Quoc Le (Video)
6. An Opinionated Introduction to AutoML and Neural Architecture Search
7. Depthwise separable convolutions for machine learning
Aug. 27th, 2018PaperMulti-task LearningAn Overview of Multi-Task Learning in Deep Neural Networks
Sep. 3rd, 2018PaperMulti-task LearningNeural Sequence Learning Models for Word Sense Disambiguation
Sep. 10th, 2018PaperInterpretability of Deep Learning ModelsInterpretability of Deep Learning Models: A Survey of Results
Sep. 17th, 2018PaperWord RepresentationDeep contextualized word representations
Sep. 24th, 2018PaperNeural Network Architectures SearchSimple and efficient architecture search for Convolutional Neural Networks
Oct. 1st, 2018PaperNetwork EmbeddingASPEM: Embedding Learning by Aspects in Heterogeneous Information Networks
Oct. 8th, 2018PaperDeep Learning GeneralizationUderstanding Deep Learning Requires Rethinking Generalization
Oct. 15th, 2018PaperAbstract Meaning RepresentationsAMR Parsing as Graph Prediction with Latent Alignment
Oct. 22nd, 2018PaperMeta-Interpretive LearningMeta-Interpretive Learning: achievements and challenges
Oct. 29th, 2018PaperConvolutional Neural NetworksConvolutional Neural Fabrics
Nov. 5th, 2018PaperMachine ReasoningFrom machine learning to machine reasoning
Nov. 12th, 2018PaperNeural Program LearningRobustFill: Neural Program Learning under Noisy I/O
2. Generating custom photo-realistic faces using AI (Blog)
Nov. 26th, 2018PaperNeural-Symbolic VQANeural-Symbolic VQA: Disentangling Reasoning from Vision and Language Understanding
Dec. 3rd, 2018VideoMachine Learning1. “Why Should I Trust You?”: Explaining the Predictions of Any Classifier
2. Please stop doing explainable ML(Video)
Dec. 10th, 2018PaperGenerative Image InpaintingGenerative Image Inpainting with Contextual Attention
Jan. 28th, 2019TutorialGenerative Model1. A Brief Instruction of VAE (Slide)
2. Code
Feb. 4th, 2019BlogNLGAn Adversarial Review of “Adversarial Generation of Natural Language”
Feb. 18th, 2019PaperGANScribbler: Controlling Deep Image Synthesis with Sketch and Color
Feb. 25th, 2019PaperDataset DistillationDataset Distillation
Mar. 4th, 2019
Mar. 11st, 2019
PaperNeural Architecture SearchRandom Search and Reproducibility for Neural Architecture Search
Mar. 18th, 2019PaperNeural Networks with Activation AtlasesExploring Neural Networks with Activation Atlases
Apr. 8th, 2019PaperDeepfakeUnsupervised Image-to-Image Translation Networks
Apr. 15th, 2019PaperTransfer LearningTaskonomy: Disentangling Task Transfer Learning
Apr. 22nd, 2019PaperRandomly Wired NetworksExploring Randomly Wired Neural Networks for Image Recognition
May. 6th, 2019PaperNetwork Representation LearningW-MetaPath2Vec: The topic-driven meta-path-based model for large-scaled content-based heterogeneous information network representation learning
Jun. 3rd, 2019PaperNeural Architecture SearchDeepSwarm: Optimising Convolutional Neural Networks using Swarm Intelligence

I with other PhD students also created a mini NLP and ML reading group. We update what we read every week and the website is maintained by a-quei.