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Found 8 papers, 2 papers with code
TeamOtter at SemEval-2022 Task 5: Detecting Misogynistic Content in Multimodal Memes
We describe our system for the SemEval 2022 task on detecting misogynous content in memes.
TimeGraphs: Graph-based Temporal Reasoning
The results demonstrate both robustness and efficiency of TimeGraphs on a range of temporal reasoning tasks.
Learning to Infer Unobserved Behaviors: Estimating User's Preference for a Site over Other Sites
Estimating users' preferences for the site, however, faces major obstacles because (a) the focal site usually has no data of its users' interactions with other sites; these interactions are users' unobserved behaviors for the focal site; and (b) the Machine Learning literature in recommendation does not offer a model of this situation.
DSPy: Compiling Declarative Language Model Calls into Self-Improving Pipelines
The ML community is rapidly exploring techniques for prompting language models (LMs) and for stacking them into pipelines that solve complex tasks.
Self-supervised Multi-view Disentanglement for Expansion of Visual Collections
In this work, we consider the setting where a query for similar images is derived from a collection of images.
Generating Compositional Color Representations from Text
While this dataset is specialized for our investigations on color, the method can be extended to other visual dimensions where composition is of interest.
Scene Graph Embeddings Using Relative Similarity Supervision
In this work, we employ a graph convolutional network to exploit structure in scene graphs and produce image embeddings useful for semantic image retrieval.
Learning Colour Representations of Search Queries
We leverage historical clickthrough data to produce a colour representation for search queries and propose a recurrent neural network architecture to encode unseen queries into colour space.
