Trending Research

Plug and Play Language Models: a Simple Approach to Controlled Text Generation

4 Dec 2019uber-research/PPLM

Large transformer-based language models (LMs) trained on huge text corpora have shown unparalleled generation capabilities.

LANGUAGE MODELLING TEXT GENERATION

126
2.55 stars / hour

Bridging the Gap Between Anchor-based and Anchor-free Detection via Adaptive Training Sample Selection

5 Dec 2019sfzhang15/ATSS

In this paper, we first point out that the essential difference between anchor-based and anchor-free detection is actually how to define positive and negative training samples, which leads to the performance gap between them.

OBJECT DETECTION

101
2.49 stars / hour

StarGAN v2: Diverse Image Synthesis for Multiple Domains

4 Dec 2019clovaai/stargan-v2

A good image-to-image translation model should learn a mapping between different visual domains while satisfying the following properties: 1) diversity of generated images and 2) scalability over multiple domains.

IMAGE-TO-IMAGE TRANSLATION

198
2.39 stars / hour

TinyBERT: Distilling BERT for Natural Language Understanding

23 Sep 2019huawei-noah/Pretrained-Language-Model

To accelerate inference and reduce model size while maintaining accuracy, we firstly propose a novel transformer distillation method that is a specially designed knowledge distillation (KD) method for transformer-based models.

LANGUAGE MODELLING LINGUISTIC ACCEPTABILITY NATURAL LANGUAGE INFERENCE QUESTION ANSWERING SEMANTIC TEXTUAL SIMILARITY

289
2.31 stars / hour

AugMix: A Simple Data Processing Method to Improve Robustness and Uncertainty

5 Dec 2019google-research/augmix

We propose AugMix, a data processing technique that is simple to implement, adds limited computational overhead, and helps models withstand unforeseen corruptions.

IMAGE CLASSIFICATION

106
2.23 stars / hour

Real-time Scene Text Detection with Differentiable Binarization

20 Nov 2019MhLiao/DB

Recently, segmentation-based methods are quite popular in scene text detection, as the segmentation results can more accurately describe scene text of various shapes such as curve text.

SCENE TEXT DETECTION

336
1.37 stars / hour

Demucs: Deep Extractor for Music Sources with extra unlabeled data remixed

3 Sep 2019facebookresearch/demucs

We study the problem of source separation for music using deep learning with four known sources: drums, bass, vocals and other accompaniments.

MUSIC SOURCE SEPARATION

552
1.27 stars / hour

Conv-TasNet: Surpassing Ideal Time-Frequency Magnitude Masking for Speech Separation

20 Sep 2018facebookresearch/demucs

The majority of the previous methods have formulated the separation problem through the time-frequency representation of the mixed signal, which has several drawbacks, including the decoupling of the phase and magnitude of the signal, the suboptimality of time-frequency representation for speech separation, and the long latency in calculating the spectrograms.

SPEAKER SEPARATION SPEECH SEPARATION

552
1.27 stars / hour

HOGWILD!: A Lock-Free Approach to Parallelizing Stochastic Gradient Descent

28 Jun 2011dmmiller612/sparktorch

Stochastic Gradient Descent (SGD) is a popular algorithm that can achieve state-of-the-art performance on a variety of machine learning tasks.

53
1.19 stars / hour

EfficientDet: Scalable and Efficient Object Detection

20 Nov 2019toandaominh1997/EfficientDet.Pytorch

Model efficiency has become increasingly important in computer vision.

 SOTA for Object Detection on COCO 2017 (mAP metric )

OBJECT DETECTION

135
1.12 stars / hour