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A round-up of topology-based papers at ICML 2020
Bastian Rieck
17 Sep 2020
With this year’s International Conference on Machine Learning (ICML) being over, it is time to have another instalment of this series. Similar to last year’s post, I shall cover several papers tha...
Can RL from pixels be as efficient as RL from state?
BAIR blog
14 Sep 2020
By Misha Laskin, Aravind Srinivas, Kimin Lee, Adam Stooke, Lerrel Pinto, Pieter Abbeel
[latexpage]
A remarkable characteristic of human intelligence is our ability to learn tasks quickly. Most human...
The role of computer vision in autonomous vehicles
Md Ali Azam
10 Sep 2020
Recent advances in computer vision have revolutionized many areas of research including robotics, automation, and self-driving vehicles. The self-driving car industry has grown markedly in recent year...
High-frequency component helps explain the generalization of convolutional neural networks
ML@CMU
08 Sep 2020
Fig. 1: The central hypothesis: within a dataset with finite samples, there are correlations between the high-frequency component and the “semantic” component of the images. As a result, the model...
Rethinking benchmark systems for machine learning
Common methods applied in the evaluation of model performance share several limitations. A new meta-measure Elo-based Predictive Power (EPP) method addresses these issues....
Hot papers on arXiv from the past month – August 2020
Lucy Smith
02 Sep 2020
What’s hot on arXiv? Here are the most tweeted papers that were uploaded onto arXiv during August 2020.
Results are powered by Arxiv Sanity Preserver....
Decentralized reinforcement learning: global decision-making via local economic transactions
BAIR blog
01 Sep 2020
By Michael Chang and Sidhant Kaushik
[latexpage]
Many neural network architectures that underlie various artificial intelligence systems today bear an interesting similarity to the early computers...
New algorithm follows human intuition to make visual captioning more grounded
Allie McFadden and Machine Learning Center at Georgia Tech
24 Aug 2020
Annotating and labeling datasets for machine learning problems is an expensive and time-consuming process for computer vision and natural language scientists. However, a new deep learning approach is ...
A How-To: reflections on planning virtual science conferences
Juniper Lovato
21 Aug 2020
All Alife 2020 illustrations by Rob Babboni
By Juniper Lovato (general conference chair) and Laurent Hébert-Dufresne (conference co-organizer), Vermont Complex Systems Center, University of Vermont
...
Career advisor systems
Akshay Gugnani and Hemant Misra
18 Aug 2020
Career advisor systems are essentially recommender systems in the space of job searching and career advice. They provide recommendations to candidates with possible career paths and to employers with ...
D4RL: building better benchmarks for offline reinforcement learning
BAIR blog
17 Aug 2020
[latexpage]
By Justin Fu
In the last decade, one of the biggest drivers for success in machine learning has arguably been the rise of high-capacity models such as neural networks along with l...
Maintaining the illusion of reality: transfer in RL by keeping agents in the DARC
ML@CMU
10 Aug 2020
By Benjamin Eysenbach
Reinforcement learning (RL) is often touted as a promising approach for costly and risk-sensitive applications, yet practicing and learning in those domains directly is expens...
#ICML2020 invited talk: Iordanis Kerenidis – “Quantum machine learning : prospects and challenges”
Lucy Smith
07 Aug 2020
The third and final ICML2020 invited talk covered the topic of quantum machine learning (QML) and was given by Iordanis Kerenidis. He took us on a tour of the quantum world, detailing the tools needed...
Simultaneous clustering and representation learning
Ömer Sümer
05 Aug 2020
[latexpage]
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
[latexpage]
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
[latexpage]
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
[latexpage]
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
[latexpage]
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
[latexpage]
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
[latexpage]
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
[latexpage]
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...
