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Found 9 papers, 4 papers with code
China and the U.S. produce more impactful AI research when collaborating together
Given AI's massive potential, as well as the fierce geopolitical tensions between the two nations, a number of policies have been put in place that discourage AI scientists from migrating to, or collaborating with, the other country.
Learning from One and Only One Shot
Using simply the nearest-neighbor classifier on this similarity space, we achieve human-level character recognition using only 1--10 examples per class and nothing else (no pre-training).
Human Languages with Greater Information Density Increase Communication Speed, but Decrease Conversation Breadth
Human languages vary widely in how they encode information within circumscribed semantic domains (e. g., time, space, color, human body parts and activities), but little is known about the global structure of semantic information and nothing about its relation to human communication.
Policy-Aware Mobility Model Explains the Growth of COVID-19 in Cities
With the continued spread of coronavirus, the task of forecasting distinctive COVID-19 growth curves in different cities, which remain inadequately explained by standard epidemiological models, is critical for medical supply and treatment.
Human Evaluation of Interpretability: The Case of AI-Generated Music Knowledge
Interpretability of machine learning models has gained more and more attention among researchers in the artificial intelligence (AI) and human-computer interaction (HCI) communities.
Too many cooks: Bayesian inference for coordinating multi-agent collaboration
Underlying the human ability to collaborate is theory-of-mind, the ability to infer the hidden mental states that drive others to act.
The Geometry of Culture: Analyzing Meaning through Word Embeddings
We demonstrate the utility of a new methodological tool, neural-network word embedding models, for large-scale text analysis, revealing how these models produce richer insights into cultural associations and categories than possible with prior methods.
Centralized "big science" communities more likely generate non-replicable results
Growing concern that most published results, including those widely agreed upon, may be false are rarely examined against rapidly expanding research production.
Social and Information Networks Adaptation and Self-Organizing Systems Data Analysis, Statistics and Probability Quantitative Methods
Large Teams Have Developed Science and Technology; Small Teams Have Disrupted It
Teams dominate the production of high-impact science and technology.
Physics and Society Digital Libraries Social and Information Networks
