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Found 15 papers, 5 papers with code
Learning to Simulate Tree-Branch Dynamics for Manipulation
We propose to use a simulation driven inverse inference approach to model the dynamics of tree branches under manipulation.
OHM: GPU Based Occupancy Map Generation
Occupancy grid maps (OGMs) are fundamental to most systems for autonomous robotic navigation.
DEXTER: Deep Encoding of External Knowledge for Named Entity Recognition in Virtual Assistants
Named entity recognition (NER) is usually developed and tested on text from well-written sources.
Generating Natural Questions from Images for Multimodal Assistants
We evaluate our approach using standard evaluation metrics such as BLEU, METEOR, ROUGE, and CIDEr to show the relevance of generated questions with human-provided questions.
Lattice-based Improvements for Voice Triggering Using Graph Neural Networks
A pure trigger-phrase detector model doesn't fully utilize the intent of the user speech whereas by using the complete decoding lattice of user audio, we can effectively mitigate speech not intended for the smart assistant.
Automatic Speech Recognition
Automatic Speech Recognition (ASR)
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Poisson Multi-Bernoulli Mixtures for Sets of Trajectories
First, we show that, for the standard point target model, the PMBM density is conjugate also for sets of trajectories.
Leveraging User Engagement Signals For Entity Labeling in a Virtual Assistant
Personal assistant AI systems such as Siri, Cortana, and Alexa have become widely used as a means to accomplish tasks through natural language commands.
The Second Conversational Intelligence Challenge (ConvAI2)
We describe the setting and results of the ConvAI2 NeurIPS competition that aims to further the state-of-the-art in open-domain chatbots.
Poisson multi-Bernoulli mixture trackers: continuity through random finite sets of trajectories
By showing that the prediction and update in the PMBM filter can be viewed as an efficient method for calculating the time marginals of the RFS of trajectories, continuity in the same sense as MHT is established for the PMBM filter.
The Simons Observatory: Science goals and forecasts
With up to an order of magnitude lower polarization noise than maps from the Planck satellite, the high-resolution sky maps will constrain cosmological parameters derived from the damping tail, gravitational lensing of the microwave background, the primordial bispectrum, and the thermal and kinematic Sunyaev-Zel'dovich effects, and will aid in delensing the large-angle polarization signal to measure the tensor-to-scalar ratio.
Cosmology and Nongalactic Astrophysics
