Vocal Bursts Type Prediction
155 papers with code • 1 benchmarks • 1 datasets
predict the type of given vocal bursts
Libraries
Use these libraries to find Vocal Bursts Type Prediction models and implementations
HUME-VB
Most implemented papers
Preconditioner on Matrix Lie Group for SGD
lixilinx/psgd_torch
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ICLR 2019
We study two types of preconditioners and preconditioned stochastic gradient descent (SGD) methods in a unified framework.
Predicting the Type and Target of Offensive Posts in Social Media
In particular, we model the task hierarchically, identifying the type and the target of offensive messages in social media.
Type-Driven Automated Learning with Lale
IBM/lale
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Machine-learning automation tools, ranging from humble grid-search to hyperopt, auto-sklearn, and TPOT, help explore large search spaces of possible pipelines.
Sherlock: A Deep Learning Approach to Semantic Data Type Detection
mitmedialab/sherlock-project
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Correctly detecting the semantic type of data columns is crucial for data science tasks such as automated data cleaning, schema matching, and data discovery.
BreizhCrops: A Time Series Dataset for Crop Type Mapping
We present Breizhcrops, a novel benchmark dataset for the supervised classification of field crops from satellite time series.
FedDANE: A Federated Newton-Type Method
litian96/FedDANE
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Federated learning aims to jointly learn statistical models over massively distributed remote devices.
Towards Conversational Recommendation over Multi-Type Dialogs
PaddlePaddle/models
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ACL 2020
We propose a new task of conversational recommendation over multi-type dialogs, where the bots can proactively and naturally lead a conversation from a non-recommendation dialog (e. g., QA) to a recommendation dialog, taking into account user's interests and feedback.
VAEM: a Deep Generative Model for Heterogeneous Mixed Type Data
microsoft/VAEM
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NeurIPS 2020
Deep generative models often perform poorly in real-world applications due to the heterogeneity of natural data sets.
Injecting Entity Types into Entity-Guided Text Generation
Our model has a multi-step decoder that injects the entity types into the process of entity mention generation.
DONE: Distributed Approximate Newton-type Method for Federated Edge Learning
dual-grp/DONE
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In this work, we propose DONE, a distributed approximate Newton-type algorithm with fast convergence rate for communication-efficient federated edge learning.
