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Found 15 papers, 6 papers with code
Ten Years after ImageNet: A 360° Perspective on AI
The rise of attention networks, self-supervised learning, generative modeling, and graph neural networks has widened the application space of AI.
Estimating Community Feedback Effect on Topic Choice in Social Media with Predictive Modeling
A defining feature of social media is that other users can provide feedback -- called community feedback -- to their content in the form of comments, replies, and retweets.
Social and Information Networks
Going beyond accuracy: estimating homophily in social networks using predictions
While this paper focuses on homophily, results generalize to other relational measures which aggregate predictions along the dyads in a network.
How to make a pizza: Learning a compositional layer-based GAN model
From a visual perspective, every instruction step can be seen as a way to change the visual appearance of the dish by adding extra objects (e. g., adding an ingredient) or changing the appearance of the existing ones (e. g., cooking the dish).
Racial Bias in Hate Speech and Abusive Language Detection Datasets
Technologies for abusive language detection are being developed and applied with little consideration of their potential biases.
Recipe1M+: A Dataset for Learning Cross-Modal Embeddings for Cooking Recipes and Food Images
In this paper, we introduce Recipe1M+, a new large-scale, structured corpus of over one million cooking recipes and 13 million food images.
Ranked #2 on
Cross-Modal Retrieval
on Recipe1M+
Estimating group properties in online social networks with a classifier
This is a three step procedure which entails: 1) walking the graph starting from an arbitrary node; 2) learning a classifier on the nodes in the walk; and 3) applying a post-hoc adjustment to classification labels.
Social and Information Networks
Learning Cross-Modal Embeddings for Cooking Recipes and Food Images
In this paper, we introduce Recipe1M, a new large-scale, structured corpus of over 1m cooking recipes and 800k food images.
Understanding Abuse: A Typology of Abusive Language Detection Subtasks
As the body of research on abusive language detection and analysis grows, there is a need for critical consideration of the relationships between different subtasks that have been grouped under this label.
Psychological and Personality Profiles of Political Extremists
Global recruitment into radical Islamic movements has spurred renewed interest in the appeal of political extremism.
Automated Hate Speech Detection and the Problem of Offensive Language
We train a multi-class classifier to distinguish between these different categories.
Face-to-BMI: Using Computer Vision to Infer Body Mass Index on Social Media
A person's weight status can have profound implications on their life, ranging from mental health, to longevity, to financial income.
Is Saki #delicious? The Food Perception Gap on Instagram and Its Relation to Health
Studying how food is perceived in relation to what it actually is typically involves a laboratory setup.
You Are What Apps You Use: Demographic Prediction Based on User's Apps
Our work addresses this need by studying the predictability of user demographics based on the list of a user's apps which is readily available to many app developers.
Social and Information Networks
The Effect of Social Feedback in a Reddit Weight Loss Community
It is generally accepted as common wisdom that receiving social feedback is helpful to (i) keep an individual engaged with a community and to (ii) facilitate an individual's positive behavior change.
Social and Information Networks
