Trending Research
Scale-Aware Trident Networks for Object Detection
• facebookresearch/detectron2
• 
In this work, we first present a controlled experiment to investigate the effect of receptive fields for scale variation in object detection.
#2 best model for
Object Detection
on COCO test-dev
LOST: A flexible framework for semi-automatic image annotation
In this paper we present a framework that allows for a quick and flexible design of semi-automatic annotation pipelines.
ALBERT: A Lite BERT for Self-supervised Learning of Language Representations
Increasing model size when pretraining natural language representations often results in improved performance on downstream tasks.
SOTA for Question Answering on SQuAD2.0
LINGUISTIC ACCEPTABILITY NATURAL LANGUAGE INFERENCE QUESTION ANSWERING SEMANTIC TEXTUAL SIMILARITY SENTIMENT ANALYSIS
BoTorch: Programmable Bayesian Optimization in PyTorch
• pytorch/botorch
•
Bayesian optimization provides sample-efficient global optimization for a broad range of applications, including automatic machine learning, molecular chemistry, and experimental design.
Auto-Encoding Variational Bayes
• pytorch/botorch
•
First, we show that a reparameterization of the variational lower bound yields a lower bound estimator that can be straightforwardly optimized using standard stochastic gradient methods.
The Design and Implementation of a Real Time Visual Search System on JD E-commerce Platform
We present the design and implementation of a visual search system for real time image retrieval on JD. com, the world's third largest and China's largest e-commerce site.
Kimera: an Open-Source Library for Real-Time Metric-Semantic Localization and Mapping
We provide an open-source C++ library for real-time metric-semantic visual-inertial Simultaneous Localization And Mapping (SLAM).
MLQA: Evaluating Cross-lingual Extractive Question Answering
An alternative to building large monolingual training datasets is to develop cross-lingual systems which can transfer to a target language without requiring training data in that language.
Cross-lingual Language Model Pretraining
On unsupervised machine translation, we obtain 34. 3 BLEU on WMT'16 German-English, improving the previous state of the art by more than 9 BLEU.
PKUSEG: A Toolkit for Multi-Domain Chinese Word Segmentation
Chinese word segmentation (CWS) is a fundamental step of Chinese natural language processing.