Trending Research

DouZero: Mastering DouDizhu with Self-Play Deep Reinforcement Learning

kwai/DouZero 11 Jun 2021

Games are abstractions of the real world, where artificial agents learn to compete and cooperate with other agents.

Multi-agent Reinforcement Learning

3.69 stars / hour

XCiT: Cross-Covariance Image Transformers

facebookresearch/xcit 17 Jun 2021

We propose a "transposed" version of self-attention that operates across feature channels rather than tokens, where the interactions are based on the cross-covariance matrix between keys and queries.

Instance Segmentation Object Detection +2

2.11 stars / hour

Beyond Self-Supervision: A Simple Yet Effective Network Distillation Alternative to Improve Backbones

PaddlePaddle/PaddleClas 10 Mar 2021

Recently, research efforts have been concentrated on revealing how pre-trained model makes a difference in neural network performance.

Knowledge Distillation Object Detection +2

1.89 stars / hour

PyKale: Knowledge-Aware Machine Learning from Multiple Sources in Python

pykale/pykale 17 Jun 2021

Machine learning is a general-purpose technology holding promises for many interdisciplinary research problems.

Dimensionality Reduction Domain Adaptation +2

1.69 stars / hour

GANs N' Roses: Stable, Controllable, Diverse Image to Image Translation (works for videos too!)

mchong6/GANsNRoses 11 Jun 2021

This adversarial loss guarantees the map is diverse -- a very wide range of anime can be produced from a single content code.

Image-to-Image Translation

1.57 stars / hour

Do Transformers Really Perform Bad for Graph Representation?

Microsoft/Graphormer 9 Jun 2021

Our key insight to utilizing Transformer in the graph is the necessity of effectively encoding the structural information of a graph into the model.

Graph Classification Graph Regression +1

1.29 stars / hour

GIRAFFE: Representing Scenes as Compositional Generative Neural Feature Fields

autonomousvision/giraffe 24 Nov 2020

While several recent works investigate how to disentangle underlying factors of variation in the data, most of them operate in 2D and hence ignore that our world is three-dimensional.

Image Generation Neural Rendering

1.03 stars / hour

GAN Prior Embedded Network for Blind Face Restoration in the Wild

yangxy/GPEN 13 May 2021

The proposed GAN prior embedded network (GPEN) is easy-to-implement, and it can generate visually photo-realistic results.

Blind Face Restoration Image Generation

1.00 stars / hour

Riemannian Convex Potential Maps

facebookresearch/rcpm 18 Jun 2021

Modeling distributions on Riemannian manifolds is a crucial component in understanding non-Euclidean data that arises, e. g., in physics and geology.

0.95 stars / hour

DeepLab2: A TensorFlow Library for Deep Labeling

google-research/deeplab2 17 Jun 2021

DeepLab2 is a TensorFlow library for deep labeling, aiming to provide a state-of-the-art and easy-to-use TensorFlow codebase for general dense pixel prediction problems in computer vision.

0.83 stars / hour