Understanding Artificial Intelligence

Notes

• 09/16/2023 - https://github.com/pablovela5620/arxiv-researcher
• 08/29/2023 - https://github.com/OpenGVLab/all-seeing
• 04/18/2023 - https://github.com/jdagdelen/hyperDB
• 04/18/2023 - https://github.com/showlab/Image2Paragraph
• Eliminating All Bad Local Minima from Loss Landscapes Without Even Adding an Extra Unit
• Massively Multilingual Sentence Embeddings for Zero-Shot Cross-Lingual transfer and Beyond
• MobileNets: Efficient Convolutional Neural Networks for Mobile Vision Applications
• Subspace match probably does not accurately assess the similarity of learned representations
• Representation Learning with Contrastive Predictive Coding
• Neural Discrete Representation Learning
• A Quantum Many-body Wave Function Inspired Language Modeling Approach
• Self Imitation Learning
• Local sparsity control for Naive Bayes with extreme misclassiication costs
• What you get is what you see: A visual markup decompiler
• A Simple Method for Commonsense Reasoning
• Relational recurrent neural networks
• Language Modeling with Gated Convolutional Networks
• A Hybrid Convolutional Variational Autoencoder for Text Generation
• Asynchronous Methods for Deep Reinforcement Learning
• Dual Learning for Machine Translation
• An Empirical Evaluation of generic Convolutional and Recurrent Networks for Sequence Modeling
• Neural Machine Translation in Linear Time
• Learning to Generate Reviews and Discovering Sentiment
• Zero-Shot Question Generation from Knowledge Graphs for Unseen Predicates and Entity Types
• Neural Voice Cloning with a Few Samples
• Diversity Is All You Need: Learning Skills without a Reward Function
• Non-Autoregressive Neural Machine Translation
• Generating Wikipedia By Summarizing Long Sequences
• Zero-Shot Super-Resolution using Deep Internal Learning
• Convolution Sequence to Sequence Learning
• Bi-Directional Block Self-Attention for fast and memory-efficient sequence modeling
• Convolution Sequence to Sequence Learning

Implemented Papers

• Representation Learning with Contrastive Predictive Coding
• Attention Is All You Need
• A Structured Self-Attentive Sentence Embedding
• Training RNNs as Fast as CNNs (Single Recurrent Unit)
• TagSpace: Semantic Embeddings from Hashtags

Personal Research

• Character based Temporal Convolutional Networks + Attention Layer