Network Deconvolution

https://github.com/deconvolutionpaper/deconvolution

Paper: https://openreview.net/forum?id=rkeu30EtvS

FNNP: Fast Neural Network Pruning Using Adaptive Batch Normalization

https://github.com/anonymous47823493/FNNP

Paper: https://openreview.net/forum?id=rJeUPlrYvr

Athena: A Framework for Defending Machine Learning Systems Against Adversarial Attacks

https://github.com/softsys4ai/athena

Paper: https://arxiv.org/abs/2001.00308v1

@notboring_tech - №1 channel in telegram about artificial intelligence, machine learning and neural networks.

The author fumbles for the topic and you will be aware of all the achievements of AI with the channel @notboring_tech 🤖

Stacked DeBERT: All Attention in Incomplete Data for Text Classification

https://github.com/gcunhase/StackedDeBERT

Papaer https://arxiv.org/abs/2001.00137v1

Paraphrase Generation with Latent Bag of Words

Paper: https://arxiv.org/abs/2001.01941v1

Code: https://github.com/FranxYao/dgm_latent_bow

Fast Neural Network Adaptation via Parameter Remapping and Architecture Search

https://github.com/JaminFong/FNA

Paper: https://arxiv.org/abs/2001.02525v1

PyTorch Geometry
The PyTorch Geometry package is a geometric computer vision library for PyTorch

https://github.com/arraiy/torchgeometry

@ArtificialIntelligencedl

This Beautiful Fluid Simulator Warps Time…Kind Of 🌊

https://www.youtube.com/watch?v=wsFgrzYwchQ

📝 The paper "A Temporally Adaptive Material Point Method with Regional Time Stepping" is available here:

https://taichi.graphics/wp-content/uploads/2018/06/asyncmpm.pdf**

»My Top 10 Deep RL Papers of 2019»

https://roberttlange.github.io/posts/2019/12/blog-post-9/

DDSP: Differentiable Digital Signal Processing

DDSP is a library of differentiable versions of common DSP functions (such as synthesizers, waveshapers, and filters). This allows these interpretable elements to be used as part of an deep learning model, especially as the output layers for audio generation.

Code: https://github.com/magenta/ddsp

Paper: https://arxiv.org/abs/2001.04643v1

Advbox: a toolbox to generate adversarial examples that fool neural networks

Code: https://github.com/advboxes/AdvBox

Paper: https://arxiv.org/abs/2001.05574v1

The Two-Pass Softmax Algorithm

Code: https://github.com/google/XNNPACK

Paper: https://arxiv.org/abs/2001.04438v1

Controlling Text Generation with Plug and Play Language Models

https://eng.uber.com/pplm/

Paper: https://arxiv.org/abs/1912.02164

Code: https://github.com/uber-research/PPLM

The Autonomous Learning Library: A PyTorch Library for Building Reinforcement Learning Agents

https://autonomous-learning-library.readthedocs.io.

Code: https://github.com/cpnota/autonomous-learning-library