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Simultaneous clustering and representation learning
Ömer Sümer
05 Aug 2020
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The success of deep learning over the last decade, particularly in computer vision, has depended greatly on large training data sets. Even though progress in this area boosted the perfo...
Open compound domain adaptation
BAIR blog
04 Aug 2020
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Figure 1: Domains boundaries are rarely clear. Therefore, it is hard to set up definite domain descriptions for all possible domains.
By Zhongqi Miao and Ziwei Liu
The World i...
Hot papers on arXiv from the past month – July 2020
Lucy Smith
03 Aug 2020
What’s hot on arXiv? Here are the most tweeted papers that were uploaded onto arXiv during July 2020.
Results are powered by Arxiv Sanity Preserver....
#ICML2020 invited talk: Brenna Argall – “Human and machine learning for assistive autonomy”
Lucy Smith
31 Jul 2020
The second invited talk at ICML2020 was given by Brenna Argall. Her presentation covered the use of machine learning within the domain of assistive machines for rehabilitation. She described the effor...
#ICML2020 invited talk: Lester Mackey – “Doing some good with machine learning”
Lucy Smith
28 Jul 2020
There were three invited talks at this year's virtual ICML. The first was given by Lester Mackey, and he highlighted some of his efforts to do some good with machine learning. During the talk he also ...
In defense of weight-sharing for neural architecture search: an optimization perspective
ML@CMU
27 Jul 2020
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Figure 1: How DARTS and other weight-sharing methods replace the discrete assignment of one of four operations \(o\in O\) to an edge \(e\) with a \(\theta\)-weighted combination of their ...
Using data for the public good: the roles of clear governance, good data and trustworthy institutions
The Royal Society
24 Jul 2020
Clear Light Bulb Planter on Grey Rock. Photographer: Singkham
By Roger Taylor, Chair of the Centre for Data Ethics and Innovation
Failure to use data effectively means we cannot deal with the most...
OmniTact: a multi-directional high-resolution touch sensor
BAIR blog
20 Jul 2020
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Human thumb next to our OmniTact sensor, and a US penny for scale.
By Akhil Padmanabha and Frederik Ebert
Touch has been shown to be important for dexterous manipulation in ...
Getting data right: governance for people and society
The Royal Society
09 Jul 2020
Time Lapse Photography of Blue Lights. Photographer: Pixabay
By Carly Kind, Director of the Ada Lovelace Institute
Public scrutiny is critical for trust in, and democratic legitimacy for, the use ...
Hot papers on arXiv from the past month – June 2020
Lucy Smith
02 Jul 2020
What’s hot on arXiv? Here are the most tweeted papers that were uploaded onto arXiv during June 2020.
Results are powered by Arxiv Sanity Preserver....
The ingredients of real world robotic reinforcement learning
BAIR blog
30 Jun 2020
By Abhishek Gupta, Henry Zhu, Justin Yu, Vikash Kumar, Dhruv Shah, Sergey Levine
Robots have been useful in environments that can be carefully controlled, such as those commonly found in industrial...
Usage of speaker embeddings for more inclusive speech-to-text
COMPRISE
26 Jun 2020
By Tugtekin Turan
English is one of the most widely used languages worldwide, with approximately 1.2 billion speakers. The number of non-native speakers far outweighs the number of native speakers....
Learning to explore using active neural SLAM
ML@CMU
24 Jun 2020
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By Devendra Singh Chaplot
Advances in machine learning, computer vision and robotics have opened up avenues of building intelligent robots which can navigate in the physical world ...
Contact tracing using anonymized mobile data
Pramod Misra
17 Jun 2020
The COVID-19 pandemic has had an unprecedented effect on society. Governments and individuals around the world have taken steps to stem the flow of the virus. Actions such as suspending travel, testin...
The usefulness of useless AI
Marija Slavkovik
09 Jun 2020
In every crisis since the fifties at least one article emerges to ask: where are the robots to save us? No robots are seen en masse collecting garbage, administering Covid-19 tests, or farming the fie...
Making decision trees accurate again: explaining what explainable AI did not
BAIR blog
08 Jun 2020
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By Alvin Wan, Lisa Dunlap, Daniel Ho, Jihan Yin, Scott Lee, Henry Jin, Suzanne Petryk, Sarah Adel Bargal and Joseph E. Gonzalez
The interpretability of neural networks is b...
Differentiable reasoning over text
ML@CMU
03 Jun 2020
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By Bhuwan Dhingra
We all rely on search engines to navigate the massive amount of online information published every day. Modern search engines not only retrieve a list of pages rele...
A summary of the keynotes at AAMAS
Lucy Smith
02 Jun 2020
A virtual edition of the International Conference on Autonomous Agents and Multi-Agent Systems (AAMAS) conference was held on 9-13 May. Videos of the talks are now available for public viewing, and yo...
Hot papers on arXiv from the past month – May 2020
Lucy Smith
01 Jun 2020
What’s hot on arXiv? Here are the most tweeted papers that were uploaded onto arXiv during May 2020.
Results are powered by Arxiv Sanity Preserver....
Robots learning to move like animals
BAIR blog
28 May 2020
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By Xue Bin (Jason) Peng
Whether it’s a dog chasing after a ball, or a monkey swinging through the trees, animals can effortlessly perform an incredibly rich repertoire of agile loc...
Identifying light sources using machine learning
Lucy Smith
26 May 2020
Artistic impression of schematic experimental set-up for photon counting. The section in the light grey box corresponds to the thermal light part of the experiment and the section in the dark grey box...
Summarising the keynotes at ICLR: part two
Lucy Smith
22 May 2020
The virtual International Conference on Learning Representations (ICLR) was held on 26-30 April and included eight keynote talks. In part two of our round-up we summarise the final four presentations....
Physically realistic attacks on deep reinforcement learning
BAIR blog
21 May 2020
By Adam Gleave
Deep reinforcement learning (RL) has achieved superhuman performance in problems ranging from data center cooling to video games. RL policies may soon be widely deployed, with re...
Working towards explainable and data-efficient machine learning models via symbolic reasoning
Machine Learning Center at Georgia Tech
20 May 2020
By Yuan Yang
In recent years, we have witnessed the success of modern machine learning (ML) models. Many of them have led to unprecedented breakthroughs in a wide range of applications, such as Alp...
Shortcuts to artificial intelligence – a tale
Nello Cristianini
19 May 2020
The current paradigm of artificial intelligence emerged as the result of a series of cultural innovations, some technical and some social. Among them are seemingly small design decisions, that led to ...
Summarising the keynotes at ICLR: part one
Lucy Smith
14 May 2020
The virtual International Conference on Learning Representations (ICLR) was held on 26-30 April and included eight keynote talks, with a wide range of topics covered. In this post we summarise the fi...
Deep learning-guided surface characterization for autonomous fabrication
Jeremiah Croshaw
13 May 2020
The semiconductor industry as we know it is facing a critical roadblock that will lead to the end of Moore’s law. As transistors continue to shrink, quantum effects have a significant negative cons...
Unsupervised meta-learning: learning to learn without supervision
In unsupervised meta-learning, the agent proposes its own tasks, rather than relying on tasks proposed by a human.
By Benjamin Eysenbach (Carnegie Mellon University) and Abhishek Gupta (UC Berkeley...
Voice assistants – strategies for handling private information
COMPRISE
11 May 2020
In the latest in this series of posts, researchers from the EU-funded COMPRISE project write about privacy issues associated with voice assistants. They propose possible ways to maintain the privacy o...
Does on-policy data collection fix errors in off-policy reinforcement learning?
BAIR blog
06 May 2020
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By Aviral Kumar and Abhishek Gupta
Reinforcement learning has seen a great deal of success in solving complex decision making problems ranging from robotics to games to supply chai...
Hot papers on arXiv from the past month – April 2020
Lucy Smith
05 May 2020
What’s hot on arXiv? Here are the most tweeted papers that were uploaded onto arXiv during April 2020.
Results are powered by Arxiv Sanity Preserver....
Learning DAGs with continuous optimization
ML@CMU
27 Apr 2020
Can we build a bridge between the left and right hand side?
[latexpage]
By Xun Zheng, Bryon Aragam and Chen Dan
As datasets continually increase in size and complexity, our ability to uncove...
BADGR: the Berkeley autonomous driving ground robot
BAIR blog
20 Apr 2020
By Greg Kahn
Look at the images above. If I asked you to bring me a picnic blanket in the grassy field, would you be able to? Of course. If I asked you to bring over a cart full of food for a party...
Machine learning tool may help us better understand RNA viruses
Machine Learning Center at Georgia Tech
15 Apr 2020
E2Efold is an end-to-end deep learning model developed at Georgia Tech that can predict RNA secondary structures, an important task used in virus analysis, drug design, and other public health applica...
Digital health interventions: predicting individual success using machine learning
University of Basel
13 Apr 2020
Health apps could be better tailored to the individual needs of patients. A statistical technique from the field of machine learning is now making it possible to predict the success of smartphone-base...
Explaining machine learning models for natural language
Machine Learning Center at Georgia Tech
10 Apr 2020
By Sarah Wiegreffe and Yuval Pinter
Natural language processing (NLP) is the study of how computers learn to represent and make decisions about human communication in the form of written text. This...
