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Keeping you up to date with the latest trends and best performing architectures in this fast evolving field in computer science. Selecting papers by comparative results, citations and influence we educate you on the latest research. Consider supporting us on Patreon.com/PapersRead for feedback and ideas.
 
From Plato to quantum physics, Walter Benjamin to experimental poetry, Frantz Fanon to the history of political radicalism, The Podcast for Social Research is a crucial part of our mission to forge new, organic paths for intellectual work in the twenty-first century: an ongoing, interdisciplinary series featuring members of the Institute, and occasional guests, conversing about a wide variety of intellectual issues, some perennial, some newly pressing. Each episode centers on a different top ...
 
Keeping it 101 is the podcast that helps our nerdy listeners make sense of religion. Why religion? Well, if you read the news, have a body, exist in public, or think about race, gender, class, ability, or sexuality, you likely also think about religion — even if you don’t know it yet. Let us show you why religion is both a lot more important and a little easier to understand than you might think. Each 40-ish minute episode has a topic: a core idea we’re trying to get y’all to think through—t ...
 
The Cite Black Women podcast is a bi-weekly program with a simple message: Cite Black Women. We have been producing knowledge since we blessed this earth. We theorize, we innovate, we revolutionize the world. We do not need mediators. We do not need interpreters. It's time to disrupt the canon. It's time to upturn the erasures of history. It's time to give credit where credit is due. This bi-weekly podcast features reflections and conversations about the politics and praxis of acknowledging ...
 
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The Drop Squad

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The Drop Squad

Rezistans Nwa Podcast Network

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The Drop Squad is a society and culture podcast featuring five friends (@wildfonts, @andraydomise, @JamelTheCreator, @RenyTay, @univrslsoldier) who chop it up weekly on everything from news and politics to culture and entertainment. Jokes >>> facts, data over anecdotes, don’t argue with us if you got no citations.
 
First published anonymously due to its seditious content in 1776, the pamphlet argues for the need of American colonists to pursue complete independence from Great Britain, and not be driven simply by the urge to free themselves from unfair taxation. Paine provides argumentation for his revolutionary ideas, suggesting the unification of colonial forces to achieve this goal. Furthermore, Paine strengthens his case by clearly asserting the advantages that would come out as a result of independ ...
 
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The Narváez expedition was a Spanish journey of exploration and colonization started in 1527 that intended to establish colonial settlements and garrisons in Florida.[1] The expedition was initially led by Pánfilo de Narváez, who died in 1528. Many more people died as the expedition traveled west along the explored Gulf Coast of the present-day Uni…
 
“Supply and demand.” “It’s just Econ 101.” “Most economists agree...” “There’s always trade offs.” Over and over, media and policymakers spew the same tired recitations meant to convey the seemingly natural, immutable laws of economics. "The economy," we’re told, is thriving when business owners and job creators are making record profits, and faili…
 
A. Lynn Bolles, Ph.D. is Professor Emerita in the Department of Women’s Studies and an affiliate faculty member in Anthropology, African American Studies, Comparative Literature and American Studies at the University of Maryland College Park. She is the author/co/author of 5 books that focus on women, work and political economy in the English-speak…
 
Transformers have shown great potential in computer vision tasks. A common belief is their attention-based token mixer module contributes most to their competence. However, recent works show the attention-based module in transformers can be replaced by spatial MLPs and the resulted models still perform quite well. Based on this observation, we hypo…
 
Deploying Machine Learning (ML) algorithms within databases is a challenge due to the varied computational footprints of modern ML algorithms and the myriad of database technologies each with their own restrictive syntax. We introduce an Apache Spark-based micro-service orchestration framework that extends database operations to include web service…
 
Successful quantitative investment usually relies on precise predictions of the future movement of the stock price. Recently, machine learning based solutions have shown their capacity to give more accurate stock prediction and become indispensable components in modern quantitative investment systems. However, the i.i.d. assumption behind existing …
 
The scale, variety, and quantity of publicly available NLP datasets has grown rapidly as researchers propose new tasks, larger models, and novel benchmarks. Datasets is a community library for contemporary NLP designed to support this ecosystem. 2021: Quentin Lhoest, Albert Villanova del Moral, Yacine Jernite, A. Thakur, Patrick von Platen, Suraj P…
 
Vision transformer (ViT) has recently showed its strong capability in achieving comparable results to convolutional neural networks (CNNs) on image classification. However, vanilla ViT simply inherits the same architecture from the natural language processing directly, which is often not optimized for vision applications. Motivated by this, in this…
 
Voyage by ABBA Click here to join our Discord! We're planning to continue livestreaming the recordings (once Cameron is back from vacation) at around 8:30pm Pacific Time on Tuesday. Learnin' Links: Les Ballets Africains Lilting Irish music Listen along to Voyage here! You can support us in several ways: Kick us a few bux on Patreon! By becoming a s…
 
Mithridates or Mithradates VI Eupator (Greek: Μιθραδάτης;[2] 135–63 BC) was ruler of the Hellenistic Kingdom of Pontus in northern Anatolia from 120 to 63 BC, and one of the Roman Republic's most formidable and determined opponents. He was an effective, ambitious and ruthless ruler who sought to dominate Asia Minor and the Black Sea region, waging …
 
A character played by an actor in a fat suit shovels food in his face, unable to restrain himself in a fit of rage. Another falls, too lazy and out-of-shape to get up without the aid of others. And yet another loses weight and avenges the anti-fat bullying she faced growing up, finally earning respect as a thin person. We see all of these tropes ad…
 
Remotely sensed geospatial data are critical for applications including precision agriculture, urban planning, disaster monitoring and response, and climate change research, among others. 2021: Adam J. Stewart, Caleb Robinson, Isaac A. Corley, Anthony Ortiz, Juan M. Lavista Ferres, Arindam Banerjeehttps://arxiv.org/pdf/2111.08872v1.pdf…
 
A lot, is what. So very much. Dr. Arun Brahmbhatt helps us on a quick tour through the history of Hinduism(s). Keywords: Hinduism/Hindu traditions; dharma; caste; avatar As always, be sure to visit keepingit101.com for full show notes, homework, transcripts, & more!By Profs. Ilyse Morgenstein Fuerst and Megan Goodwin
 
When engineers train deep learning models, they are very much “flying blind”. Commonly used approaches for realtime training diagnostics, such as monitoring the train/test loss, are limited. Assessing a network’s training process solely through these performance indicators is akin to debugging software without access to internal states through a de…
 
Transformer-based models consist of interleaved feed-forward blocks - that capture content meaning, and relatively more expensive self-attention blocks - that capture context meaning. In this paper, we explored trade-offs and ordering of the blocks to improve upon the current Transformer architecture and proposed PAR Transformer. 2020: Swetha Manda…
 
Knowledge-based visual question answering (VQA) involves answering questions that require external knowledge not present in the image. Inspired by GPT-3’s power in knowledge retrieval and question answering, instead of using structured KBs as in previous work, we treat GPT-3 as an implicit and unstructured KB that can jointly acquire and process re…
 
We present FastPitch, a fully-parallel text-to-speech model based on FastSpeech, conditioned on fundamental frequency contours. The model predicts pitch contours during inference, and generates speech that could be further controlled with predicted contours. FastPitch can thus change the perceived emotional state of the speaker or put emphasis on c…
 
Yum Yum Bedlam by Insane Clown Posse Click here to join our Discord! We're planning to continue livestreaming the recordings (once Cameron is back from vacation) at around 8:30pm Pacific Time on Tuesday. Learnin' Links: WAVE trend on tiktok John Mayer's response to new wave of hate Racial bias for painkiller prescriptions Listen along to Yum Yum Be…
 
Transformer emerges as a powerful tool for visual recognition. In addition to demonstrating competitive performance on a broad range of visual benchmarks, recent works also argue that Transformers are much more robust than Convolutions Neural Networks (CNNs). Nonetheless, surprisingly, we find these conclusions are drawn from unfair experimental se…
 
The Australasian Antarctic Expedition was a 1911–1914 expedition headed by Douglas Mawson that explored the largely uncharted Antarctic coast due south of Australia. Mawson had been inspired to lead his own venture by his experiences on Ernest Shackleton's Nimrod expedition in 1907–1909. During its time in Antarctica, the expedition's sledging part…
 
Although residual connection enables training very deep neural networks, it is not friendly for online inference due to its multi-branch topology. This encourages many researchers to work on designing DNNs without residual connections at inference. In this paper, we aim to remedy this problem and propose to remove the residual connection in a vanil…
 
We consider a new problem of adapting a human mesh reconstruction model to out-of-domain streaming videos, where performance of existing SMPL-based models are significantly affected by the distribution shift represented by different camera parameters, bone lengths, backgrounds, and occlusions. We tackle this problem through online adaptation, gradu…
 
Philosophy of the World by the Shaggs. Nathan gets a little drunk with special guest host Dustin Junkert and talks about the compulsory girl group that's better than the Beatles! Click here to join our Discord! We're planning to continue livestreaming the recordings (once Cameron is back from vacation) at around 8:30pm Pacific Time on Tuesday. List…
 
Pretrained language models have become the standard approach for many NLP tasks due to strong performance, but they are very expensive to train. We propose a simple and efficient learning framework TLM that does not rely on large-scale pretraining1. Given some labeled task data and a large general corpus, TLM uses task data as queries to retrieve a…
 
Segmenting medical images accurately and reliably is important for disease diagnosis and treatment. It is a challenging task because of the wide variety of objects’ sizes, shapes, and scanning modalities. Recently, many convolutional neural networks (CNN) have been designed for segmentation tasks and achieved great success. Few studies, however, ha…
 
Cutting-edge 3D face reconstruction methods use non-linear morphable face models combined with GAN-based decoders to capture the likeness and details of a person but fail to produce neutral head models with unshaded albedo textures which is critical for creating relightable and animation-friendly avatars for integration in virtual environments.2021…
 
Real-time semantic segmentation is playing a more important role in computer vision, due to the growing demand for mobile devices and autonomous driving. Therefore, it is very important to achieve a good trade-off among performance, model size and inference speed. In this paper, we propose a Channel-wise Feature Pyramid (CFP) module to balance thos…
 
Prompt-learning has become a new paradigm in modern natural language processing, which directly adapts pre-trained language models (PLMs) to cloze-style prediction, autoregressive modeling, or sequence to sequence generation, resulting in promising performances on various tasks. However, no standard implementation framework of prompt-learning is pr…
 
Neural painting refers to the procedure of producing a series of strokes for a given image and non-photo realistically recreating it using neural networks. We formulate the task as a set prediction problem and propose a novel Transformer based framework, dubbed Paint Transformer, to predict the parameters of a stroke set with a feed forward network…
 
This paper explores a simple method for improving the zero-shot learning abilities of language models. We show that instruction tuning—fine tuning language models on a collection of tasks described via instructions—substantially boosts zero-shot performance on unseen tasks. We take a 137B parameter pre trained language model and instruction-tune it…
 
“The elites are out to get you and your hard-earned pay.” “We’re spending too much on protecting foreign nations and not enough defending our own borders against immigrant invaders.” “China is taking your job and will soon take over your phone.” We are consistently fed this type of “rightwing populism” –– sticking up for the working man against an …
 
The phantom time hypothesis is a historical conspiracy theory asserted by Heribert Illig. First published in 1991, it hypothesizes a conspiracy by the Holy Roman Emperor Otto III, Pope Sylvester II, and possibly the Byzantine Emperor Constantine VII, to fabricate the Anno Domini dating system retroactively, in order to place them at the special yea…
 
Happier than Ever by Billie Eilish. Retconned as Season 21—go all the way back to episode 84 for the first installment in our Billie Eilish coverage. Click here to join our Discord! We're planning to continue livestreaming the recordings (once Cameron is back from vacation) at around 8:30pm Pacific Time on Tuesday. Learnin' Links: Raymond Carver's …
 
An urban legend or contemporary legend is a genre of folklore comprising stories circulated as true, especially as having happened to a "friend of a friend" or family member, often with horrifying or humorous elements. These legends can be entertaining, but often concern mysterious peril or troubling events, such as disappearances and strange objec…
 
“It’s not about right vs left, but the people vs the elites,” “Wall Street and the media are leaching off hard working Americans like you and me who play by the rules.” “Our elite have sold us out to China.” American media consumers are routinely fed, a particular, and often confusing brand of so-called “rightwing populism” –– nominally taking on “…
 
Data augmentation is a simple yet effective way to improve the robustness of deep neural networks (DNNs). Diversity and hardness are two complementary dimensions of data augmentation to achieve robustness. For example, AugMix explores random compositions of a diverse set of augmentations to enhance broader coverage, while adversarial training gener…
 
In this News Brief, we recapped how, in the face of a once in a generation opportunity to relieve poverty and address curb climate change, US media largely gave us personality, Horse Race coverage, and defensive snark–– aiding conservatives efforts to winnow down the bill to a fraction of its original size.…
 
We propose a novel neural representation for videos (NeRV) which encodes videos in neural networks. Unlike conventional representations that treat videos as frame sequences, we represent videos as neural networks taking frame index as input. Given a frame index, NeRV outputs the corresponding RGB image. Video encoding in NeRV is simply fitting a ne…
 
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