domarps / papers-i-read

Summaries and notes on recent Deep Learning literature

2019-07

• And the Bit Goes Down: Revisiting the Quantization of Neural Networks

2019-06

• Applying Deep Learning to Airbnb Search

2019-04

• A survey of Product Quantization
• Product Quantization for Nearest neighbor search

2019-03

• Learning Deep Features for Discriminative Localization

2019-02

• Concept Mask: Large-Scale Segmentation from Semantic Concepts

2018-06 - 2019-01

What was Pramod doing?

2018-04

• Unpaired Image-to-Image Translation using Cycle-Consistent Adversarial Networks
• CycleGAN, a Master of Steganography
• Image to Image translation with Conditional Adversarial Networks

2018-03

• ScaledML 2018
• TensorFlow Estimators: Managing Simplicity vs. Flexibility in High-Level Machine Learning Frameworks

2018-01

• Fine-tuned Language Models for Text Classification [arXiv]

2017-12

• What’s your ML test score? A rubric for ML production systems [Google Research]
• Cyclical Learning Rates for Training Neural Networks [arXiv]
• Snapshot Ensembles : Train 1, Get M for free [arXiv]

2017-11

• TFX: A TensorFlow-Based Production-Scale Machine Learning Platform [ACM]
• Progressive Growing of GANs for Improved Quality, Stability, and Variation [NVIDIA]
• Dynamic Routing between Capsules [NIPS'17]
• Spatial-Semantic Image Search by Visual Feature Synthesis [CVPR'17]
• Composition Aware Search [arXiv/whitepaper]
• Joint Face Detection and Alignment using Multi-task Cascaded Convolutional Networks [IEEE]
• FaceNet: A Unified Embedding for Face Recognition and Clustering [arXiv]
• Skeleton Key: Image Captioning by Skeleton-Attribute Decomposition [CVPR'17]

2017-10

• Oh, hi tensorflow-1.4! Still no arXiv!!

2017-09

• A Convolutional Neural Network Cascade for Face Detection [CVPR'15]
• fast.ai : A Pytorch-first approach to AI

2017-07/2017-08

• Tensorflow and boost! Yes, i am deep learning in C++ -- so no arXiv!!

2017-06

• Rich feature hierarchies for accurate object detection and semantic segmentation [arXiv]

2016-08

• Deterministic Policy Gradients [JMLR]
• Model-Free Episodic Control [arXiv]
• Human-level control through deep reinforcement learning [Nature]

2016-07

• Information-theoretical label embeddings for large-scale image classification [arXiv]
• Incorporating Copying Mechanism in Sequence-to-Sequence Learning [arXiv]
• Deep Reinforcement Learning with a Combinatorial Action Space for Predicting and Tracking Popular Discussion Threads [arXiv]
• Generative Adversarial Text to Image Synthesis [arXiv]
• Sequence to Sequence Learning with Neural Networks [arXiv]

2016-06

• Trust Region Policy Optimization [arXiv]
• End-to-end LSTM-based dialog control optimized with supervised and reinforcement learning [arXiv]
• Continuous Deep Q-Learning with Model-based Acceleration [arXiv]
• Asynchronous Methods for Deep Reinforcement Learning [arXiv]
• Dueling Network Architectures for Deep Reinforcement Learning - ICML'16 Best Paper Award [arXiv]
• Deep Reinforcement Learning with Double Q-learning [arXiv]
• Monte Carlo Bayesian Reinforcement Learning [arXiV]
• Control of Memory, Active Perception, and Action in Minecraft [arXiV]
• Deep Multiagent Reinforcement Learning for Partially Observable Parameterized Environments [arXiv]
• Deep Compression - ICLR'16 Best Paper Award [arXiv]
• Quoc Le's Tutorials on Deep Learning [Tutorial1] [Tutorial2]
• Sequence to Sequence Learning with Neural Networks[arXiv]

2016-05

• Continuous Control with Deep Reinforcement Learning [arXiv]
• Playing Atari with Deep Reinforcement Learning [arXiv]
• Deep Reinforcement Learning With an Action Space Defined by Natural Language [arXiv]
• WebNav : A New Large-Scale Task for Natural Language based Sequential Decision Making [arXiv]
• Using Reinforcement Learning to Spider the Web Efficiently [ACM]
• Focused Crawling using Temporal Difference Learning [Springer]

2016-04

• LINE: Large-scale Information Network Embedding
• PTE: Predictive Text Embedding through Large-scale Heterogeneous Text Networks

2016-03

• Link Prediction in Social Networks

2016-02

• Co-Author Relationship Prediction in Heterogeneous Bibliographic Networks [link]

2015-11

• Visual Question Answering(VQA) [arXiv]

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