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Found 6 papers, 3 papers with code
Weakly Supervised Formula Learner for Solving Mathematical Problems
Existing work suggested solving this task with a two-phase approach, where the model first predicts formulas from questions and then calculates answers from such formulas.
Motif-Centric Representation Learning for Symbolic Music
Music motif, as a conceptual building block of composition, is crucial for music structure analysis and automatic composition.
DeID-VC: Speaker De-identification via Zero-shot Pseudo Voice Conversion
The widespread adoption of speech-based online services raises security and privacy concerns regarding the data that they use and share.
Identifying Mitigation Strategies for COVID-19 Superspreading on Flights using Models that Account for Passenger Movement
Despite commercial airlines mandating masks, there have been multiple documented events of COVID-19 superspreading on flights.
Graph-based Heuristic Search for Module Selection Procedure in Neural Module Network
To overcome this problem, existing work either included ground-truth program into training data or applied reinforcement learning to explore the program.
Squeeze-and-Excitation on Spatial and Temporal Deep Feature Space for Action Recognition
Spatial and temporal features are two key and complementary information for human action recognition.
