AI - Key Papers - Timelines

• Object detection (Redmon et al, 2015)
• Image captioning - Neural Image Caption Generation with Visual Attention, 2015
• Random walks in latent space - (Alex Radford, 2015)
• Semantic segmentation (Long et al, 2015)
• Auto-captioning (2015)
• Autonomous cars (NVIDIA, 2016)
• Future simulation - (Finn et al, 2016)
• Neural machine translation - (Google’s Neural Machine Translation System, 2016)
• Drug design and response prediction (Gomez-Bombarelli et al, 2016)
• Impersonation by encoding-decoding an unknown face. - (Kamil Czarnogórski, 2016)
• Image super-resolution - (Ledig et al, 2016)
• Reinforcement learning (Mnih et al, 2014)
• Segmentation (Hengshuang et al, 2017)
• Pose estimation (Cao et al, 2017)
• Music composition (NVIDIA, 2017)
• Geometric matching (Rocco et al, 2017)
• Instance segmentation (He et al, 2017)
• Scene understanding - (Wu et al, 2017)
• Transfer learning from synthetic to real images - (Inoue et al, 2017)
• Strategy games (Deepmind, 2016-2018)
• Speech synthesis and question answering (Google, 2018)
• Image generation (Karras et al, 2018)
• Real-time object detection (Redmon and Farhadi, 2018)
• Sequence Problems
• Sequence classification - Sentiment Analysis, Activity Recognition, DNA Sequence classification, action selection
• Sequence Synthesis - Text Synthesis, Music Synthesis, Motion Synthesis
• Sequence to Sequence Translation - Speech Recognition, Text Translation, POS tagging
• Generative models - Image and content generation - DRAW: A Recurrent Neural Network For Image Generation, Pizel RNN, ALI

Happy Mastering DL!!!