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Pramod Srinivasan edited this page Jan 30, 2018
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- https://research.fb.com/wp-content/uploads/2017/12/hpca-2018-facebook.pdf [AML]
- Fine-tuned Language Models for Text Classification [arXiv]
- 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]
- 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]
- Oh, hi tensorflow-1.4! Still no arXiv!!
- A Convolutional Neural Network Cascade for Face Detection [CVPR'15]
- fast.ai : A Pytorch-first approach to AI
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Tensorflowandboost! Yes, i am deep learning in C++ -- so no arXiv!!
- Deterministic Policy Gradients [JMLR]
- Model-Free Episodic Control [arXiv]
- Human-level control through deep reinforcement learning [Nature]
- 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]
- 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]
- 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]
- LINE: Large-scale Information Network Embedding
- PTE: Predictive Text Embedding through Large-scale Heterogeneous Text Networks
- Co-Author Relationship Prediction in Heterogeneous Bibliographic Networks [link]
- Visual Question Answering(VQA) [arXiv]