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Tim Rocktäschel
Lessons Learned Reproducing a Deep Reinforcement Learning Paper
ML engineering for AI safety & robustness: a Google Brain engineer's guide to entering the field - 80,000 Hours
Zayd's Blog – Why is machine learning 'hard'?
Gender, Race and Power – AI Now Institute – Medium
How a Libertarian Capitalist Became a Libertarian Socialist | The Anarchist Library
Vithika Yadav | 120 Under 40
1805.08440.pdf
Love Matters | Open, Honest, Sex-Friendly
1806.06411.pdf
Backreaction: First stars spell trouble for dark matter
Backreaction: Yes, women in science still have a disadvantage.
Backreaction: You say theoretical physicists are doing their job all wrong. Don’t you doubt yourself?
KB QA Application
AskNowQA/QA-Tutorial: The repo contains all the materials related to Question Answering.
1709.09844.pdf
1711.09325.pdf
1802.04865.pdf
1809.04729.pdf
1807.09289.pdf
Adversarial Domain Adaptation for Variational Neural Language Generation in Dialogue Systems - C18-1103
A Little Review of Domain Adaptation in 2017
Learning Concepts with Energy Functions
Troubling Trends in Machine Learning Scholarship – Approximately Correct
1801.06519.pdf
All Documents
Compositional Attention Networks for Machine Reasoning | OpenReview
1708.02709.pdf
Towards Generating Text from Discourse Representation Structures - W11-2819
Q14-1017
Students Evaluating Teachers Doesn’t Just Hurt Teachers. It Hurts Students. - The Chronicle of Higher Education
Hyperliterature
Homestuck
Dan Schawbel on how to fight the "loneliness epidemic" at work
Making Your Neural Network Say “I Don’t Know” — Bayesian NNs using Pyro and PyTorch
Battling Entropy: Making Order of the Chaos in Our Lives
I Might Be Spartacus: a differential privacy marketplace | Robert Heaton
| Travel + Leisure
ICLR 2019
ICLR 2019
ICLR 2019
ICLR 2019
LLD Workshop - NIPS 2017
NeuralGen Workshop
[1705.02364] Supervised Learning of Universal Sentence Representations from Natural Language Inference Data
Behavior Analysis of NLI Models: Uncovering the Influence of Three Factors on Robustness - N18-1179
[1901.10430] Pay Less Attention with Lightweight and Dynamic Convolutions
The Chatistician
Ask HN: Recommend one book I need to read this summer? | Hacker News
BOOKS | Derek Sivers
Bookshelf · Patrick Collison
What Hindi keeps hidden
1906.06298.pdf
Management of Performance and Performance of Management: Getting to Work on Time in the Indian Bureaucracy: South Asia: Journal of South Asian Studies: Vol 42, No 3
Fully Automated Luxury Communism Isn’t Our Future - OneZero
Learning to Love the AI Bubble
Practical Deep Learning for Coders, v3 | fast.ai course v3
1812.02354.pdf
Demo and installation instructions
1802.06024.pdf
Photography Challenge: Using a $3 TV Dinner to Capture 5-Star Food Photos
1907.10597.pdf
PyCM
MEGA
Forums — Snahp.it - Information
imdb at DuckDuckGo
Climate Bot
unittest — Unit testing framework — Python 3.7.4 documentation
unittest introduction - Python Testing
dwyl/repo-badges: Use repo badges (build passing, coverage, etc) in your readme/markdown file to signal code quality in a project.
handler/whatIsConcept.py · testing · gerbsen / Climate Bot · GitLab
mytorch/goodies.py at master · geraltofrivia/mytorch
Listing the packages that a repository depends on - GitHub Help
qelos/test_rnn.py at master · lukovnikov/qelos
parsing - How to parse/read a YAML file into a Python object? - Stack Overflow
pyyaml.org/wiki/PyYAML
Key Concepts & Data Model — Snips NLU 0.20.0 documentation
snips nlu builtin entities at DuckDuckGo
snips-nlu/snips_nlu at master · snipsco/snips-nlu
snips-nlu-ontology/src at master · snipsco/snips-nlu-ontology
namedtuple - Python Module of the Week
regex - Get the string within brackets in Python - Stack Overflow
Google Translate
Klimawandel – Wikipedia
Thesis Stuff - Great DL Resources p2
nnlp.pdf
Language Modeling with Recurrent Neural Networks - thesis_APopkes.pdf
deeplearningbook.org/contents/mlp.html
Deep Learning
conll13_morpho.pdf
deeplearningbook.org/contents/intro.html
A Review of the Neural History of Natural Language Processing - AYLIEN
Gentle Introduction to Statistical Language Modeling and Neural Language Models
Machine_Learning_for_Language_Modelling_-_lecture4.pdf
Language Models are Unsupervised Multitask Learners - language_models_are_unsupervised_multitask_learners.pdf
glove.pdf
Word embeddings in 2017: Trends and future directions
What do RNN Language Models Learn about Filler–Gap Dependencies? - W18-5423
Generalized Language Models
NLP's ImageNet moment has arrived
A Recipe for Training Neural Networks
A Conspiracy To Kill IE6
skip gram model - Google Search
explained skip gram - Google Search
How does Word2Vec’s Skip-Gram work? – Becoming Human: Artificial Intelligence Magazine
Forward Propagation: Building a Skip-Gram Net From the Ground Up
A Gentle Introduction to Skip-gram (word2vec) Model — AllenNLP ver. – Real-World Natural Language Processing
Word2Vec Tutorial - The Skip-Gram Model · Chris McCormick
Thesis Stuff - Great DL Resources
Transfer Learning - class23.pdf
A Review of the Recent History of Natural Language Processing
NLP's ImageNet moment has arrived
Attention is not not Explanation – Yuval Pinter – Medium
1611.01491.pdf
Neural Transfer Learning for Natural Language Processing - neural_transfer_learning_for_nlp.pdf
Neural Transfer Learning for Natural Language Processing - neural_transfer_learning_for_nlp.pdf
Neural Transfer Learning for Natural Language Processing (PhD thesis)
History of natural language processing - Wikipedia
Statistical machine translation - Wikipedia
SEM1A5 - Part 1 - A brief history of NLP
untitled - tkde_transfer_learning.pdf
The Two Paths from Natural Language Processing to Artificial Intelligence
The Definitive Guide to Natural Language Processing
Symbolic Natural Language Processing - document
Lexical and Compositional Semantics - ling1sec2_semantics.pdf
1012 Week 7.pdf - Google Drive
Foundations of Statistical Natural Language Processing - Christopher D. Manning.pdf
8.2. Language Models — Dive into Deep Learning 0.7 documentation
1904.01638.pdf
[1901.07132] Universal Rules for Fooling Deep Neural Networks based Text Classification
Data
1706.02027.pdf
The black hole picture is an astonishing achievement, and one of the most deceptive scientific images ever | Prospect Magazine
ed3book.pdf
Learning NLP Language Models with Real Data – Towards Data Science
Ongoing
Problem loading page
c9f6de19976bffb2db9989822c947c2c605e.pdf
1801.06146.pdf
erhan10a.dvi - erhan10a.pdf
Neural Transfer Learning for Natural Language Processing (PhD thesis)
1707.05589.pdf
1308.0850.pdf
Stanford University CS224d: Deep Learning for Natural Language Processing
Recurrent Neural Network Based Language Model - mikolov_interspeech2010_IS100722.pdf
EXTENSIONS OF RECURRENT NEURAL NETWORK LANGUAGE MODEL - mikolov_icassp2011_5528.pdf
Proceedings of the... - H05-1026
credentials - How to save username and password in GIT? - Stack Overflow
distributional hypothesis firth - Google Search
Distributional semantics - Wikipedia
Distributional Hypothesis - ACL Wiki
Statistical Semantics - ACL Wiki
Computational Semantics - ACL Wiki
Statistical Semantics - ACL Wiki
language model - Semantic Scholar
SRILM - an extensible language modeling toolkit - Semantic Scholar
Document Language Models, Query Models, and Risk Minimization for Information Retrieval - Semantic Scholar
A maximum entropy approach to adaptive statistical language modelling - Semantic Scholar
A Maximum Entropy Approach to Adaptive Statistical Language Modelling - a8d095c37c657f2aff39cf90bc2ea883b7cb.pdf
cikm2001-fb.pdf
How Transferable are Neural Networks in NLP Applications? - D16-1046
Current Main
Triton is the world’s most murderous malware, and it’s spreading - MIT Technology Review
[1903.05987] To Tune or Not to Tune? Adapting Pretrained Representations to Diverse Tasks
1012 Week 7.pdf - Google Drive
[D] The Economist article about DeepMind's Culture : MachineLearning
1601.04811.pdf
Learning through Auxiliary Tasks | Unsupervised Thoughts
Your Next Game Night Partner? A Computer | WIRED
[1902.01370] Insertion-based Decoding with automatically Inferred Generation Order
[1902.02192] Non-Monotonic Sequential Text Generation
[1902.03249] Insertion Transformer: Flexible Sequence Generation via Insertion Operations
[1709.08878] Generating Sentences by Editing Prototypes
NY_2019_v3.pdf
OpenAI Trains Language Model, Mass Hysteria Ensues – Approximately Correct
1902.08830.pdf
1902.06000.pdf
1709.04071.pdf
Which Face is Real?
Seven Myths in Machine Learning Research · Oscar Chang
1710.10777.pdf
1609.09315.pdf
How to Write Copy that Google Loves - Namecheap Blog
Michael Crichton, Science Studies, and the Technothriller
German for Programmers
Partial Adversarial Domain Adaptation - Semantic Scholar
Active learning for deep semantic parsing - P18-2008
howonlee/twostrangethings: two strange things to do with neural nets
9.2 Histogram features
Easy-To-Read Summary of Important AI Research Papers of 2018
1805.08522.pdf
A State-transition Framework to Answer Complex Questions over Knowledge Base - D18-1234
IPython: Beyond Normal Python | Python Data Science Handbook
How random can you be? | Lineae ex punctis
[D] Machine learning productivity hacks : MachineLearning
1903.04167.pdf
bulletmark/libinput-gestures: Actions gestures on your touchpad using libinput
make profile webpage - Google Search
14 Stunning Ways to Build Your Personal Website This Week
Absurd Design - Free Surrealist Illustrations and Vector Art
Inside Gaana’s plans to fend off Spotify and others | FactorDaily
An Impossible Scenario: Scientists Watch as Heat Moves at the Speed of Sound - Scientific American
KaTeX – The fastest math typesetting library for the web
The Illustrated Word2vec – Jay Alammar – Visualizing machine learning one concept at a time
Worried about Huawei? Take a closer look at Tencent | The Japan Times
Google Slides
Wiley KGQA Journal - Google Drive
Main Again
1901.11373.pdf
[1808.04444] Character-Level Language Modeling with Deeper Self-Attention
NetGAN: Generating Graphs via Random Walks
Font Customization · Issue #16 · naaando/lyrics
I Tried to Block Amazon From My Life. It Was Impossible.
1702.05464.pdf
10 Exciting Ideas of 2018 in NLP
Interpretable Machine Learning
About Me – The Exclusive Or – On academic, expatriate, and other unusual forms of life.
[1806.07366] Neural Ordinary Differential Equations
A new type of deep neural network that has no layers
[1812.08951] Analysis Methods in Neural Language Processing: A Survey
[1901.03253] Reverse-Engineering Satire, or "Paper on Computational Humor Accepted Despite Making Serious Advances"
Transformer-XL: Language Modeling with Longer-Term Dependency | OpenReview
Looking for ELMo's friends: Sentence-Level Pretraining Beyond Language Modeling | OpenReview
Multi-task Learning with Gradient Communication | OpenReview
pdf
Context-Aware Neural Machine Translation Learns Anaphora Resolution - P18-1117
1806.07832.pdf
[1803.06643] The Web as a Knowledge-base for Answering Complex Questions
KBQA/lcquad_errata.txt at master · svakulenk0/KBQA
KBQA/lcquad_clean.json at master · svakulenk0/KBQA
No One is Perfect: Analysing the Performance of Question Answering Components over the DBpedia Knowledge Graph - 1809.10044.pdf
1702.03196.pdf
KBQA: Learning Question Answering over QA Corpora and Knowledge Bases - p565-cui.pdf
Multi-Class Active Learning by Uncertainty Sampling with Diversity Maximization | SpringerLink
Active Learning for Ranking through Expected Loss Optimization - IEEE Journals & Magazine
[1703.02910] Deep Bayesian Active Learning with Image Data
Ask HN: What is your favorite HN post? | Hacker News
At the Blackboard | Lapham’s Quarterly
1901.03909.pdf
1901.04587.pdf
1806.07832.pdf
[1901.05534] Lagging Inference Networks and Posterior Collapse in Variational Autoencoders
1901.11196.pdf
Reasoning about Entailment with Neural Attention - 1509.06664.pdf
[1901.08813] Proceedings of AAAI 2019 Workshop on Network Interpretability for Deep Learning
2019 Formatting Instructions for Authors Using LaTeX - Understanding-Complex-Multi-sentence-Entity-seeking-Questions.pdf
Sequence to sequence model: Introduction and concepts
People - The Stanford Natural Language Processing Group
see2017get.pdf
rstojnic/lazydata: Lazydata: Scalable data dependencies for Python projects
Lil'Log
Thoughts on Reference Management Software · Max Masnick
Tim Rocktäschel
Exclusive Design
Suchergebnis auf Amazon.de für: nasal strips
Why You Should Stop Reading News
DANN
Ganin: Domain-adversarial training of neural networks - Google Scholar
Adversarial Discriminative Domain Adaptation - Tzeng_Adversarial_Discriminative_Domain_CVPR_2017_paper.pdf
Conditional Adversarial Domain Adaptation
Adapting to Continuously Shifting Domains | OpenReview
Hierarchical Attention Transfer Network for Cross-Domain Sentiment Classification - Semantic Scholar
Salad: A Toolbox for Semi-supervised Adaptive Learning Across Domains | OpenReview
[1811.08737] SpotTune: Transfer Learning through Adaptive Fine-tuning
Domain-adversarial language models - Semantic Scholar
Adversarial Multiple Source Domain Adaptation - ccf8ea8480f00b63b44855b093d81e2ed018.pdf
Domain-Adversarial Training of Neural Networks - Semantic Scholar
Strong Baselines for Neural Semi-supervised Learning under Domain Shift - Semantic Scholar
Sebastian Ruder - Semantic Scholar
Sluice networks: Learning what to share between loosely related tasks - Semantic Scholar
1705.08142.pdf
Misc
1809.08267.pdf
Knowledge-Based Question Answering as Machine Translation - P14-1091.pdf
Semantic Parsing on Freebase from Question-Answer Pairs - D13-1160
A State-transition Framework to Answer Complex Questions over Knowledge Base - D18-1234
1812.01245.pdf
Continual Learning with Deep Generative Replay - 6892-continual-learning-with-deep-generative-replay.pdf
1612.00796.pdf
Question Generation from SQL Queries Improves Neural Semantic Parsing - D18-1188
Tutorial on Probabilistic Context-Free Grammars - pcfg.pdf
mol17lpcfg.pdf
1601.06068.pdf
AskNowQA/QA-Tutorial: The repo contains all the materials related to Question Answering.
Enable automatic benchmarking · Issue #3 · AskNowQA/LC-QuAD
What my deep model doesn't know... | Yarin Gal - Blog | Cambridge Machine Learning Group
Continual Learning with Deep Generative Replay - 6892-continual-learning-with-deep-generative-replay.pdf
1612.00796.pdf
Tensor Product Generation Networks for Deep NLP Modeling - N18-1114
Is Science Stagnant? - The Atlantic
Opinion: Science in the age of selfies | PNAS
Our Target Audience - tutorial-emnlp18.pdf
Talk-Latent/main.pdf at master · harvardnlp/Talk-Latent
Machine Learning PhD Applications — Everything You Need to Know — Tim Dettmers
Unsupervised Neural Nets Fight in a Minimax Game - One Net Maximizes the Value Function Minimized by the Other
Corrections and basic grammar changes by ram-g-athreya · Pull Request #9 · AskNowQA/LC-QuAD
Changing demographics of scientific careers: The rise of the temporary workforce | PNAS
Frontiers in Natural Language Processing Expert Responses - Google Docs
About Me · Han Xiao Tech Blog - DL|NLP|AI
Machine Reading Comprehension Part II: Learning to Ask & Answer · Han Xiao Tech Blog - DL|NLP|AI
1703.01898.pdf
1811.12143.pdf
The World's Largest Ocean Cleanup Has Officially Begun
Home
1503.08895.pdf
1811.01118.pdf
The Illustrated BERT, ELMo, and co. (How NLP Cracked Transfer Learning) – Jay Alammar – Visualizing machine learning one concept at a time
Absolute Beginner's Guide to Emacs - Jessica Hamrick
How to Drive in India • The Foreign Challenge
Building a Language and Compiler for Machine Learning
Why Feynman Diagrams Are So Important | Quanta Magazine
Talos Blog || Cisco Talos Intelligence Group - Comprehensive Threat Intelligence: Talos Targets Disinformation with Fake News Challenge Victory
7983-towards-text-generation-with-adversarially-learned-neural-outlines.pdf
Unlikely research area reveals surprising twist in non-smooth optimization - Microsoft Research
[1711.08028] Recurrent Relational Networks
What is nothing? Martin Rees Q&A
[1511.09249] On Learning to Think: Algorithmic Information Theory for Novel Combinations of Reinforcement Learning Controllers and Recurrent Neural World Models
critiquing-correcting - critiquing-correcting.pdf
A blogging style guide | Robert Heaton
Maximizing Your Slut Impact: An Overly Analytical Guide to Camgirling
A Hierarchical Multi-task Approach for Learning Embeddings from Semantic Tasks - 1811.06031.pdf
denoising.pdf
1812.02224.pdf
SHAPED: Shared-Private Encoder-Decoder for Text Style Adaptation - N18-1138
Forks · AskNowQA/LC-QuAD
shubhampachori12110095 (Shubham Pachori)
Neural networks as Ordinary Differential Equations
robbyrussell/oh-my-zsh: A delightful community-driven (with 1,200+ contributors) framework for managing your zsh configuration. Includes 200+ optional plugins (rails, git, OSX, hub, capistrano, brew, ant, php, python, etc), over 140 themes to spice up your morning, and an auto-update tool so that makes it easy to keep up with the latest updates from the community.
10 Exciting Ideas of 2018 in NLP
p1191.pdf
1812.08775.pdf
C. von Bearnensquash. Paper gestalt. - Google Search
homemade-machine-learning/README.md at master · trekhleb/homemade-machine-learning
Inside Facebook’s Secret Rulebook for Global Political Speech - The New York Times
How the Netherlands Feeds the World
1708.00415.pdf
KGQA
ACL Anthology
Question Answering over Freebase via Attentive RNN with Similarity Matrix based CNN - Google Search
Interactive Instance-based Evaluation of Knowledge Base Question Answering - D18-2020
Sequence-based Structured Prediction for Semantic Parsing - P16-1127
Data recombinationfor neural semantic parsing - Google Search
1702.05962.pdf
1804.08338.pdf
A Hierarchical Latent Variable Encoder-Decoder Model for Generating Dialogues - vhred_aaai17.pdf
p1191.pdf
Knowledge-Based Question Answering as Machine Translation - P14-1091.pdf
Semantic parsing on freebase fromquestion-answer pairs - Google Search
Semanticparsing via paraphrasing - Google Search
1601.01280.pdf
Question answering over freebase with multi-column convolutional neural networks. - Google Search
Question answering onfreebase via relation extraction and textual evidence - Google Search
Improved neural relationdetection for knowledge base question answering. - Google Search
Improving the pre-cision of RDF question/answering systems: A whynot approach. - Google Search
Natu-ral language question answering over RDF: a graphdata driven approach. - Google Search
Constraint-Based Question Answering with Knowledge Graph - 102f44116a46304ec512594478a1c615ae02.pdf
Paraphrase-Driven Learning for Open Question Answering - P13-1158
Variational Knowledge Graph Reasoning - N18-1165
1709.04071.pdf
1809.09600.pdf
Semantic Parsing via Paraphrasing - P14-1133
Knowledge-Based Question Answering as Machine Translation - P14-1091.pdf
Semantic Parsing on Freebase from Question-Answer Pairs - D13-1160
Language to Logical Form with Neural Attention - Google Scholar
[1711.00350] Generalization without systematicity: On the compositional skills of sequence-to-sequence recurrent networks
1702.01569.pdf
1611.00020.pdf
Uncertainity
1810.01861.pdf
[1703.04977] What Uncertainties Do We Need in Bayesian Deep Learning for Computer Vision?
A Baseline for Detecting Misclassified and Out-of-Distribution Examples in Neural Networks - 1610.02136.pdf
ICML'04 tutorial on ROC analysis
tmux-plugins/tmux-continuum: Continuous saving of tmux environment. Automatic restore when tmux is started. Automatic tmux start when computer is turned on.
Hendrycks: A baseline for detecting misclassified... - Google Scholar
Simple and Scalable Predictive Uncertainty Estimation using Deep Ensembles - 7219-simple-and-scalable-predictive-uncertainty-estimation-using-deep-ensembles.pdf
Misc
Convolutional Methods for Text – Tal Perry – Medium
Machine learning, meet quantum computing
A Hierarchical Multi-task Approach for Learning Embeddings from Semantic Tasks - 1811.06031.pdf
Translating Natural Language to SQL using Pointer-Generator Networks and How Decoding Order Matters - 1811.05303.pdf
Why Is Steve Bannon a Keynote Speaker for a Gaming Conference? | WIRED
Welcome to Spinning Up in Deep RL! — Spinning Up documentation
1704.00051.pdf
Adversarial Distillation of Bayesian Neural Network Posteriors - 1806.10317.pdf
CSRankings: Computer Science Rankings
EMNLP 2018 | Patrick Lewis
EMNLP 2018 Highlights: Inductive bias, cross-lingual learning, and more - AYLIEN
EMNLP 2018
Dialogue Natural Language Inference | dialogue_nli
blackbox-2018.key - blackbox2018.pdf
transfer_learning_with_language_models.pdf - Google Drive
Log in to arXiv | arXiv e-print repository
1804.09541.pdf
Kaggle Progression System
[1612.02526] Prediction with a Short Memory
[1810.13400] Differentiable MPC for End-to-end Planning and Control
1810.13409v1.pdf
1804.09541.pdf
1806.01768.pdf
Uncertainty in Deep Learning (PhD Thesis) | Yarin Gal - Blog | Cambridge Machine Learning Group
AdamW and Super-convergence is now the fastest way to train neural nets · fast.ai
Fixing Weight Decay Regularization in Adam - 1711.05101.pdf
1803.05407.pdf
New fast.ai course: Computational Linear Algebra · fast.ai
Jupyter Notebook Viewer
Jupyter Notebook Viewer
Immersive Math
deeplearningbook.org/contents/linear_algebra.html
NAACL HLT 2018
A Deep Ensemble Model with Slot Alignment for Sequence-to-Sequence Natural Language Generation - N18-1014
Natural Language Generation by Hierarchical Decoding with Linguistic Patterns - N18-2010
An Alternative History of Silicon Valley Disruption | WIRED
Climate change: Oceans 'soaking up more heat than estimated' - BBC News
Google Online Security Blog: Announcing some security treats to protect you from attackers’ tricks
Pictures – Solar Foods Ltd.
Account settings | Flickr
1810.12754v1.pdf
Projects
NAACL-HLT 2019
reddit: the front page of the internet
[R] You May Not Need Attention (summary + PyTorch code in comments) : MachineLearning
NAACL-HLT 2019
[1804.404] The NUGGET Non-Linear Piecewise Activation
The NUGGET Non-Linear Piecewise Activation - 1804.404.pdf
ohbarye/markdown-server: Simple markdown server written in Python. It converts your markdown file to HTML and return response as text/html.
Born-Again Neural Networks - 1805.04770.pdf
nbviewer
Jeri Ellsworth & the Robot Uprising of 2038
Philosophy Has Made Plenty of Progress - Scientific American Blog Network
geraltofrivia/mytorch: A bag of tricks, aux functions to ease my pytorch codes.
(12) AI Papers (@SciFi) | Twitter
[1811.01118] Learning to Rank Query Graphs for Complex Question Answering over Knowledge Graphs
Tracing a Meme From the Internet’s Fringe to a Republican Slogan - The New York Times
Arxiv Sanity Preserver
Gentle Introduction to Transduction in Machine Learning
[D] Other than here, where do you guys find new interesting papers? : MachineLearning
What's going on with Article 13 and Europeans potentially having their YouTube channels deleted? : OutOfTheLoop
[R] BERT Explained: State of the art language model for a wide variety of NLP tasks : MachineLearning
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