Trending Research
Torchmeta: A Meta-Learning library for PyTorch
The constant introduction of standardized benchmarks in the literature has helped accelerating the recent advances in meta-learning research.
DeepPrivacy: A Generative Adversarial Network for Face Anonymization
Our model is based on a conditional generative adversarial network, generating images considering the original pose and image background.
SOTA for Face Anonymization on 2019_test set (using extra training data)
CTRL: A Conditional Transformer Language Model for Controllable Generation
Preprint 2019
• salesforce/ctrl
• 
Large-scale language models show promising text generation capabilities, but users cannot easily control particular aspects of the generated text.
Neural Oblivious Decision Ensembles for Deep Learning on Tabular Data
In this paper, we introduce Neural Oblivious Decision Ensembles (NODE), a new deep learning architecture, designed to work with any tabular data.
pytorch-transformers
• huggingface/pytorch-transformers
• 
👾 A library of state-of-the-art pretrained models for Natural Language Processing (NLP)
LANGUAGE MODELLING LINGUISTIC ACCEPTABILITY NATURAL LANGUAGE INFERENCE QUESTION ANSWERING READING COMPREHENSION SEMANTIC TEXTUAL SIMILARITY SENTIMENT ANALYSIS
Generating Sequences With Recurrent Neural Networks
• swechhachoudhary/Handwriting-synthesis
This paper shows how Long Short-term Memory recurrent neural networks can be used to generate complex sequences with long-range structure, simply by predicting one data point at a time.
CBNet: A Novel Composite Backbone Network Architecture for Object Detection
In existing CNN based detectors, the backbone network is a very important component for basic feature extraction, and the performance of the detectors highly depends on it.
SOTA for Object Detection on COCO test-dev
INSTANCE SEGMENTATION OBJECT DETECTION SEMANTIC SEGMENTATION
Neural Text Generation with Unlikelihood Training
• facebookresearch/unlikelihood_training
•
In this paper we show that the likelihood objective itself is at fault, resulting in a model that assigns too much probability to sequences that contain repeats and frequent words unlike the human training distribution.
RetinaFace: Single-stage Dense Face Localisation in the Wild
• biubug6/Pytorch_Retinaface
•
Face Analysis Project on MXNet
SOTA for Face Detection on WIDER Face (Hard)
Real-Time-Voice-Cloning
NeurIPS 2018
• CorentinJ/Real-Time-Voice-Cloning
•
Clone a voice in 5 seconds to generate arbitrary speech in real-time
SPEAKER VERIFICATION SPEECH SYNTHESIS TEXT-TO-SPEECH SYNTHESIS TRANSFER LEARNING