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Found 8 papers, 3 papers with code
CLIMB: Curriculum Learning for Infant-inspired Model Building
We describe our team's contribution to the STRICT-SMALL track of the BabyLM Challenge.
Attention-based Contextual Language Model Adaptation for Speech Recognition
When applied to a large de-identified dataset of utterances collected by a popular voice assistant platform, our method reduces perplexity by 7. 0% relative over a standard LM that does not incorporate contextual information.
Automatic Speech Recognition
Automatic Speech Recognition (ASR)
+2
Automatically Neutralizing Subjective Bias in Text
To address this issue, we introduce a novel testbed for natural language generation: automatically bringing inappropriately subjective text into a neutral point of view ("neutralizing" biased text).
Using General Adversarial Networks for Marketing: A Case Study of Airbnb
In this paper, we examine the use case of general adversarial networks (GANs) in the field of marketing.
Grapevine: A Wine Prediction Algorithm Using Multi-dimensional Clustering Methods
We present a method for a wine recommendation system that employs multidimensional clustering and unsupervised learning methods.
Ignition: An End-to-End Supervised Model for Training Simulated Self-Driving Vehicles
We introduce Ignition: an end-to-end neural network architecture for training unconstrained self-driving vehicles in simulated environments.
Theory of Machine Networks: A Case Study
We propose a simplification of the Theory-of-Mind Network architecture, which focuses on modeling complex, deterministic machines as a proxy for modeling nondeterministic, conscious entities.
The Impact of an AirBnb Host's Listing Description 'Sentiment' and Length On Occupancy Rates
There has been significant literature regarding the way product review sentiment affects brand loyalty.
Applications
