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Welcome to a brand new show from Data Skeptic entitled "Journal Club". Each episode will feature a regular panel and one revolving guest seat. The group will discuss a few topics related to data science and focus on one featured scholarly paper which is discussed in detail.
 
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This week we are back with our regular panelists! Kyle brings us a short article exploring science fiction impacting AI titled "Survey Finds Science Fiction One of Many Factors Impacting Views of AI Technology." George brings us an article about using thousands fo computers from universities, companies and volunteers to train one huge transformer, …
 
We are back with other guest this week! We have NLP/ML research scientist, Fredrik Olsson joining us. He discusses the work "Why You Should Do NLP Beyond English." Lan brings us a news item, "Research News: DNA Storage." George talks about the article "Discovering Symbolic Models from Deep Learning with Inductive Biases." Last but not least, Kyle b…
 
Rachel Bittner, a research scientist at Spotify, joins us in our discussion this week! She brings us the paper "Few-Shot Sound Event Detection." Lan discusses an article about fairness of search results. George talks about a blog post from England about an algorithm grading exams and the controversy around it. Last but not least, Kyle brings us an …
 
Back with our regular panelists! This week Lan brings us an article about the clothing subscription service Stitch Fix called "Multi-Armed Bandits and the Stitch Fix Experimentation Platform | Stitch Fix Technology – Multithreaded." Kyle discusses a news item titled "Shrinking Deep Learning's Carbon Footprint." Last but not least George brings the …
 
Back again with our regular panelists! This week George brings us an interesting article about how an AI developed to identify individual birds without tagging. Kyle discusses the news item "New York legislature votes to halt facial recognition tech in schools for two years." Last but not least, Lan brings the paper this week! She discusses the pap…
 
Back again with another episode with our regular panelists! This week Kyle discusses the article from The Scientist "How Social Isolation Affects the Brain." Lan brings us an article titled "National University of Singapore used Intel Neuromorphic chip to develop touch-sensing robotic 'skin.'" Last but not least, George brings us the paper this wee…
 
Back again with our regular panelists! George takes us on a discussion about the game NetHack from the blog post "The NetHack Learning Environment." Kyle brings us an article titled "Where the Latest COVID-19 Models Think We're Headed - And Why They Disagree." Last but not least, Lan brings us the paper this week! She brings us the paper "Deconstru…
 
This week we have our regular panel of Lan, George and Kyle! George brings us a blog post "What I Learned From Looking at 200 Machine Learning Tools." Which, the author, talks about a list complied of all of the AI/ML tools he could find. Lan brings us a news article "Making Blurry Faces Photorealistic Only Goes So Far." This article discusses how …
 
We are back with our regular panel this week! Starting off we have Lan who brings us the article "Biosensors May Hold the Key to Mass Coronavirus Testing." Which talks about tech startups beginning to develop chips that signal the presence of the coronavirus RNA, antibodies, and antigens. George brings us a blog post all about BLEURT, titled "BLEUR…
 
We're back with a special guest panelist Leonardo Apolonio! He brings us the main paper this week titled "Movement Pruning: Adaptive Sparsity by Fine-Tuning." George shows us a blog post discussing GPT-3. Lan introduces us to an article about misinformation related to Covid-19. Last but not least, Kyle also has a topic about Covid-19 addressing con…
 
Another week, another episode! We are back again with our regular panelists. George brings us a clinical field study with an AI that is being used to diagnose blindness. Lan discusses the article titled "AI Infrastructure for Everyone, Now Open Sourced." Last but not least, Kyle brings us our paper for the week. He brings us the paper "Extending Ma…
 
This weeks episode we have the regular panel back together! George brought us the blog post from Google AI, "Chip Design with Deep Reinforcement Learning." Kyle brings us a news item from CNET, "How People with Down Syndrome are Improving Google Assistant." Lan brings us the paper this week! She discusses the paper "Fooling LIME and SHAP: Adversari…
 
This week on Journal Club we have another panelist! Jesus Rogel-Salazar joins us this week to discuss the paper Automatic Detection of Tympanic Membrane and Middle Ear Infection. Kyle talks about the relationship between Covid-19 and Carbon Emissions. George tells us about the new Hateful Memes Challenge from Facebook. Lan joins us to talk about Go…
 
This week we have a guest joining us, Francisco J. Azuaje G! He brings us the paper "How to Develop Machine Learning Models for Healthcare." Lan discusses "Animal AI Olympics," a reinforcement learning competition inspired by animal cognition. Kyle talks about WhatsApp and discusses the article "Why New Contact Tracing Apps Have A Critical WhatsApp…
 
Today on the show Kyle discusses research which suggests that time on screens has little impact on kids' social skills. Lan talks about DeeplyTough a deep learning framework targeting the protein pocket matching problem - try to answer whether a pair of protein pockets can bind to the same ligand.George's paper this week is about defining a grammar…
 
George talks about OpenAI's Microscope, a collection of visualisations of the neurons and layers in 6 famous vision models. This library hopes to make analysis of these models a community effort. Lan talks about Exploring chemical space with AI and how that may change pharmaceutical drug discovery and development. Kyle leads a discussion about the …
 
Today George takes inspiration and the gym environment from Kaggle's ConnectX competition and shows off and attempt to design an interpretable Connect 4 Agent with DQN! Lan discusses the paper "The Dataset Nutrition Label," which is a framework to facilitate higher data quality standards by Sarah Holland and co-authors, from the Assembly program at…
 
Today George talks about the use of Machine Learning to diagnose Cancer from a blood test. By sampling 'cell-free-DNA' this test is capable of identifying 50 different types of Cancer and the localized tissue of origin with a >90% accuracy. Lan leads a discussion of what robots and researchers in robotics may be able to contribute towards fighting …
 
George's paper this week is Sanity Checks for Saliency Maps. This work takes stock of a group of techniques that generate local interpretability - and assesses their trustworthiness through two 'sanity checks'. From this analysis, Adebayo et al demonstrate that a number of these tools are invariant to the model's weights and could lead a human obse…
 
George dives into his blog post experimenting with Scott Lundberg's SHAP library. By training an XGBoost model on a dataset about academic attainment and alcohol consumption can we develop a global interpretation of the underlying relationships? Lan leads the discussion of the paper Adversarial Examples Are Not Bugs, They Are Features by Ilyas and …
 
Today on the show, George leads a discussion about the Giant Language Test Room. Lan presents a news item about Setting Fairness Goals with TensorFlow Constrained Optimization Library. This library lets users configure and train machine learning problems based on multiple different metrics, making it easy to formulate and solve many problems of int…
 
Today on the show, Lan presents a blog post revealing the Dark secrets of BERT. This work uses telling visualizations of self-attention patterns before and after fine-tuning to probe: what happens in the fine-tuned BERT? George brings a novel technique to the show, "radioactive data" - a marriage of data and steganography. This work from Facebook A…
 
Today on the show, Lan presents a blog post from Google Deepmind about Dopamine and temporal difference learning. This is the story of a fruitful collaboration between Neuroscience and AI researchers that found the activity of dopamine neurons in the mouse ventral tegmental area during a learnt probabilistic reward task was consistent with distribu…
 
George discusses Google's Dataset Search leaving its closed beta program, and what potential applications it will have for businesses, scholars, and hobbyists. Alex brings an article about Activation Atlases and we discusses the applicability to machine learning interpretability. Lan leads a discussion about the paper Attention is not Explanation f…
 
Kyle discusses Google's recent open sourcing of ALBERT, a variant of the famous BERT model for natural language processing. ALBERT is more compact and uses fewer parameters. George leads a discussion about the paper Explainable Artificial Intelligence: Understanding, visualizing, and interpreting deep learning models by Samek, Wiegand, and Muller. …
 
Welcome to a brand new show from Data Skeptic entitled "Journal Club". Each episode will feature a regular panel and one revolving guest seat. The group will discuss a few topics related to data science and focus on one featured scholarly paper which is discussed in detail. Lan tells the story of a transformer learning to play chess. The experiment…
 
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