Word, Linguistics, Artificial intelligence, Natural language, Natural language processing, Semantics

Underspecification Presents Challenges for Credibility in Modern Machine Learning

On Nov 10, 2020
@AndrewLBeam shared
RT @alexdamour: NEW from a big collaboration at Google: Underspecification Presents Challenges for Credibility in Modern Machine Learning Explores a common failure mode when applying ML to real-world problems. 🧵 1/14 https://t.co/7vX5D8yMhq https://t.co/AqtoNBGzd5
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ML models often exhibit unexpectedly poor behavior when they are deployed in real-world domains. We identify underspecification as a key reason for these failures. An ML pipeline is underspecified when it can return many predictors with equivalently strong held-out performance in the ...

arxiv.org
On Nov 10, 2020
@AndrewLBeam shared
RT @alexdamour: NEW from a big collaboration at Google: Underspecification Presents Challenges for Credibility in Modern Machine Learning Explores a common failure mode when applying ML to real-world problems. 🧵 1/14 https://t.co/7vX5D8yMhq https://t.co/AqtoNBGzd5
Open

Underspecification Presents Challenges for Credibility in Modern Machine Learning

Underspecification Presents Challenges for Credibility in Modern Machine Learning

ML models often exhibit unexpectedly poor behavior when they are deployed in real-world domains. We identify underspecification as a key reason for these failures. An ML pipeline is ...

Cloud TPU Pods break AI training records

Cloud TPU Pods break AI training records

Google Cloud sets three new records in the industry-standard ML benchmark contest, MLPerf, with each of the winning runs using less than two minutes of compute time.

Google open-sources LIT, a toolset for evaluating natural language models

Google open-sources LIT, a toolset for evaluating natural language models

Google-affiliated researchers developed an open source framework -- Language Interpretability Tool (LIT) -- designed to explore and audit language models.

What is transfer learning. A brief explanation

What is transfer learning. A brief explanation

To answer this question, let's take an example. We all learned to recognize colours by being introduced to the objects in those colours first. Strawberry, tomato, pepper and fire truck were ...

EMNLP 2018 Highlights: Inductive bias, cross-lingual learning, and more

EMNLP 2018 Highlights: Inductive bias, cross-lingual learning, and more

The post discusses highlights of the 2018 Conference on Empirical Methods in Natural Language Processing (EMNLP 2018). You can find past highlights of conferences here. You can find all 549 ...

NLP's ImageNet moment has arrived

NLP's ImageNet moment has arrived

Big changes are underway in the world of NLP. The long reign of word vectors as NLP's core representation technique has seen an exciting new line of challengers emerge. These approaches ...

NLP Breakthrough Imagenet Moment has arrived

NLP Breakthrough Imagenet Moment has arrived

Since then, the standard way of conducting NLP projects has largely remained unchanged: word embeddings pretrained on large amounts of unlabeled data via algorithms such as word2vec and ...

Click here to read the article

Click here to read the article

Semantic parsers map input utter- ances into semantic representations called logical forms that support this form of reasoning. max(primes ∩ (−∞, 10)) 7 (utterance) (context) (parameters) ...

NLP and Computer Vision Integrated

NLP and Computer Vision Integrated

Integration and interdisciplinarity are the cornerstones of modern science and industry. One of examples of recent attempts to combine…

ACL 2020 Papers

ACL 2020 Papers

Statistics and accepted paper list of ACL 2020 with arXiv link - roomylee/ACL-2020-Papers

CodeXGLUE: A benchmark dataset and open challenge for code intelligence

CodeXGLUE: A benchmark dataset and open challenge for code intelligence

Microsoft researchers have created the CodeXGlue benchmark dataset and open challenge to foster code intelligence research. Learn about the collection of 10 tasks across 14 datasets, which ...

A Billion Words and The Limits of Language Modeling

A Billion Words and The Limits of Language Modeling

In this post, I will talk about Language Models, when (and when not) to use LSTMs for language modeling, and some state of the art results. While I mostly discuss the "Exploring Limits" ...

Celebrating the Winners of the Second Annual Salesforce Research Deep Learning Grant

Celebrating the Winners of the Second Annual Salesforce Research Deep Learning Grant

We are proud and excited to announce this year’s winners of the Salesforce Research Deep Learning Grant. Each of our five winners will receive a $50K grant to advance their work using deep ...

Facebook Research at EMNLP

Facebook Research at EMNLP

Natural language processing experts are gathering in Brussels, Belgium this week for the Conference on Empirical Methods in Natural Language Processing (EMNLP). Research from Facebook will ...

Google beats the records in NLP with their new XLNet

Google beats the records in NLP with their new XLNet

Get inspired by 10 important improvements necessary for creating a smarter bot that will serve your customers right.

Basic Guide to NLP | RightClick.AI

Basic Guide to NLP | RightClick.AI

Natural Language Processing is a field of AI that facilitates the machines to read, comprehend & interpret the underlying meaning from human language.

NLP vs. NLU: from Understanding a Language to Its Processing

NLP vs. NLU: from Understanding a Language to Its Processing

As artificial intelligence progresses and technology becomes more sophisticated, we expect existing concepts to embrace this change — or change themselves. Si…

NLU vs NLP: What’s the Difference?

NLU vs NLP: What’s the Difference?

Defining Natural Language Processing and Natural Language Understanding NLP is short for natural language processing while NLU is the shorthand for natural language understanding. NLP can ...