DeepThink
Home
About
Archive
Search
Currently v1.3
© 2019. All rights reserved.
Archive
Paper
Convolutional Reservoir Computing for World Models.
27 July 2019
What happens when we train RNNs to model fonts as vector (SVG) drawings?
26 July 2019
Faster Neural Network Training with Data Echoing
25 July 2019
DeepSDF
07 July 2019
XLNet: Generalized Autoregressive Pretraining for Language Understanding
22 June 2019
A Growing Neural Gas Network Learns Topologies
20 June 2019
POET
19 June 2019
Visualizing and Measuring the Geometry of BERT
07 June 2019
How does a neural net represent language?
03 June 2019
Speech2Face: Learning the Face Behind a Voice
01 June 2019
Few-Shot Adversarial Learning of Realistic Neural Talking Head Models
22 May 2019
Distilling the Knowledge in a Neural Network
16 May 2019
Think Globally, Act Locally
12 May 2019
MixMatch - A Holistic Approach to Semi-Supervised Learning
09 May 2019
Introducing MobileNetV3
07 May 2019
Real numbers, data science and chaos: How to fit any dataset with a single parameter
30 April 2019
Fooling automated surveillance cameras
21 April 2019
Wave Physics as an Analog Recurrent Neural Network
19 April 2019
Drop an Octave
15 April 2019
T-Net
11 April 2019
ContextDesc: Local Descriptor Augmentation with Cross-Modality Context
11 April 2019
Three Mechanisms of Weight Decay Regularization
10 April 2019
Self-Supervised GANs via Auxiliary Rotation Loss
10 April 2019
Unsupervised Recurrent Neural Network Grammars
09 April 2019
From Variational to Deterministic Autoencoders
09 April 2019
Augmented Neural ODEs
06 April 2019
Curve-GCN
04 April 2019
LAMB Optimizer
01 April 2019
Random Search - NAS!
30 March 2019
How Can We Be So Dense?
28 March 2019
PEARL: Meta-RL
22 March 2019
BIGGan!
22 March 2019
Measuring the Effects of Data Parallelism on Neural Network Training
21 March 2019
IndyLSTMs: Independently Recurrent LSTMs
19 March 2019
Stiffness: A New Perspective on Generalization in Neural Networks
18 March 2019
Self-Tuning Networks
08 March 2019
Quasi-Recurrent Neural Networks
08 March 2019
Concurrent Meta RL
08 March 2019
Xception: DL with Depthwise Separable Convolutions
04 March 2019
What are the computations of Brain
03 March 2019
Neumann Optimizer: A Practical Optimization Algorithm for Deep Neural Networks
03 March 2019
DL based Recommender System: A Survey and New Perspectives
25 February 2019
PrivacyNet
22 February 2019
DL for Video Game Playing
19 February 2019
Superposition of many models into one
15 February 2019
Probabilistic NAS
15 February 2019
Introducing PlaNet: A Deep Planning Network for RL
15 February 2019
Convolution is all you need.
07 February 2019
Towards Federated Learning at Scale: System Design
05 February 2019
ProteinNet
04 February 2019
Fixup Initialization: Residual Learning Without Normalization
02 February 2019
Approximating CNNs with Bag-of-local-Features models works surprisingly well on ImageNet
02 February 2019
The Evolved Transformer
01 February 2019
Neural networks can be vulnerable to adversarial noise
30 January 2019
Recent Advances in Efficient Computation of DCNs
23 January 2019
Active Learning with Partial Feedback
23 January 2019
Introducing Wav2letter++
24 December 2018
DeepPaper Gesalt
20 December 2018
Spiking NN
18 December 2018
Bayesian Layers: A Module for Neural Network Uncertainty
16 December 2018
Style-GAN
13 December 2018
Tool
Plato : A Flexible Conversational AI Platform
30 July 2019
Say hello to nodes.io!
27 July 2019
Deep TabNine
19 July 2019
🥁🥁🥁 Welcome to 'pytorch-transformers', the 👾 library for Natural Language Processing!
18 July 2019
Gen
06 July 2019
Differentiable parallel approximate sorting networks
17 June 2019
Write With Transformer
13 June 2019
MS Interpret - Fit interpretable models. Explain blackbox ML
18 May 2019
Neural Tangents - Linearizing Neural Network training.
16 April 2019
GluonCV
18 March 2019
Snorkel Drybell
14 March 2019
RL with Unity 3D: G.E.A.R
13 March 2019
Introducing TF Privacy
06 March 2019
Neural MMO
04 March 2019
Exploring Neural Networks with Activation Atlases
04 March 2019
TF Extended (TFX) Open-Sourcedthejusjose@outlook.com
03 March 2019
SC-FEGAN : Face Editing Generative Adversarial Network with User's Sketch and Color
21 February 2019
PlotNeuralNet
19 February 2019
Spinning-Up-Basic
17 February 2019
Spektral: a library for doing DL on graph data in Keras
11 February 2019
Ludwig: Code-Free Deep Learning Toolbox by Uber AI
11 February 2019
Uber Manifold
10 February 2019
DoWhy – Python library to estimate causal effects
01 February 2019
Nauta - A multi-user, distributed computing environment for running DL model training experiments
24 January 2019
Manifold: A Model-Agnostic Visual Debugging Tool for ML
17 January 2019
Tensorflow Privacy
20 December 2018
#tensorflow
Siamese Nets in Pytorch and Fast.ai
20 December 2018
Nevergrad! An open source tool for derivative-free optimization
20 December 2018
Google Jax
16 December 2018
Resource
N-Shot Learning: Learning More with Less Data
02 August 2019
BAIDU’s ERNIE 2.0
01 August 2019
Generative Deep Learning: Teaching Machines to Paint, Write, Compose, and Play
27 July 2019
Survey on Commonsense reasoning in NLP
25 July 2019
State of AI - 2019
25 July 2019
The Staggering Cost of Training SOTA AI Models
09 July 2019
Literature on graph representation learning
05 July 2019
Decrappification, DeOldification, and Super Resolution
03 May 2019
From Attention in Transformers to Dynamic Routing in Capsule Nets
09 April 2019
Weight Initialization in Neural Networks: A Journey From the Basics to Kaiming
03 April 2019
A Visual Exploration of Gaussian Processes
02 April 2019
The JAX Autodiff Cookbook
30 March 2019
Common statistical tests are linear models (or: how to teach stats)
27 March 2019
Visualizing memorization in RNNs
25 March 2019
Neural Transfer Learning for NLP
23 March 2019
Are Deep Neural Networks Dramatically Overfitted?
22 March 2019
Notes in LaTeX and Vim
20 March 2019
MIT's awesome AI Podcast series
20 March 2019
Greek Letters!
20 March 2019
The Promise of Hierarchical RL
11 March 2019
Research Debt
11 March 2019
39 studies about human perception in 30 mins
03 March 2019
Data Visualization: A practical introduction
02 March 2019
Awesome-MLSS - List of summer schools in machine learning + related fields across the globe
22 February 2019
Interpretable ML
21 February 2019
How powerful are Graph Neural Networks?
15 February 2019
Better Language Models and Their Implications
14 February 2019
How to Develop Word Embeddings in Python with Gensim
13 February 2019
Effective TF 2.0
13 February 2019
Responsible Data Science
02 February 2019
Super cool resource: Papers With Code
01 February 2019
The introduction to Probability, Statistics by Berkeley
30 January 2019
An AI that 'de-biases' algorithms
27 January 2019
Practical DL for Coders, 2019 edition
25 January 2019
Automating project management with DL
19 January 2019
Looking Back at Google’s Research Efforts in 2018
17 January 2019
Interested in decision making under uncertainty?
17 January 2019
Explainability Vs Interpretability In AI & ML
15 January 2019
NeurIPS 2018
12 January 2019
Super-resolution GANs for improving the texture resolution of old games
07 January 2019
Exponentially weighted average weights
07 January 2019
Tensor Considered Harmful
06 January 2019
Linear Algebra and Learning from Data
06 January 2019
Papers with Code
03 January 2019
Best Paper Awards in CS (since 1996)
29 December 2018
10 Most Popular ML Repositories From 2018
29 December 2018
Seeing Theory
28 December 2018
Artificial Intelligence Podcast
28 December 2018
The year in AI/ML advances: 2018 roundup
25 December 2018
MIT Deep Learning
24 December 2018
Dataset
A dataset for Self Driving!
30 July 2019
Learning to reason (mathematically)
03 April 2019
DeepFashion2
08 March 2019
AMI Corpus
07 February 2019
Flickr-Faces-HQ (FFHQ)
04 February 2019
Hotels-50K: A Global Hotel Recognition Dataset
01 February 2019
ATOMIC - An Atlas of Machine Commonsense for If-Then Reasoning
01 February 2019
Natural Questions - Open-domain question answering systems
23 January 2019