Search Results for author:
Found 9 papers, 5 papers with code
Revisiting Reliability in Large-Scale Machine Learning Research Clusters
Reliability is a fundamental challenge in operating large-scale machine learning (ML) infrastructures, particularly as the scale of ML models and training clusters continues to grow.
Movie Gen: A Cast of Media Foundation Models
Our models set a new state-of-the-art on multiple tasks: text-to-video synthesis, video personalization, video editing, video-to-audio generation, and text-to-audio generation.
Seamless: Multilingual Expressive and Streaming Speech Translation
In this work, we introduce a family of models that enable end-to-end expressive and multilingual translations in a streaming fashion.
automatic-speech-translation
Multimodal Machine Translation
+1
SeamlessM4T: Massively Multilingual & Multimodal Machine Translation
What does it take to create the Babel Fish, a tool that can help individuals translate speech between any two languages?
Ranked #1 on
Speech-to-Speech Translation
on CVSS
(using extra training data)
Automatic Speech Recognition
Speech-to-Speech Translation
+4
No Language Left Behind: Scaling Human-Centered Machine Translation
Driven by the goal of eradicating language barriers on a global scale, machine translation has solidified itself as a key focus of artificial intelligence research today.
Ranked #1 on
Machine Translation
on IWSLT2017 French-English
(SacreBLEU metric)
Techniques Toward Optimizing Viewability in RTB Ad Campaigns Using Reinforcement Learning
Reinforcement learning (RL) is an effective technique for training decision-making agents through interactions with their environment.
A Fast Template Periodogram for Detecting Non-sinusoidal Fixed-shape Signals in Irregularly Sampled Time Series
The most efficient algorithms available for this purpose are those that exploit the $\mathcal{O}(N\log N)$ scaling of the Fast Fourier Transform (FFT).
Time Series Analysis
Instrumentation and Methods for Astrophysics
Applications
Online and Scalable Model Selection with Multi-Armed Bandits
Many online applications running on live traffic are powered by machine learning models, for which training, validation, and hyper-parameter tuning are conducted on historical data.
Dynamic Bidding Strategies with Multivariate Feedback Control for Multiple Goals in Display Advertising
This method generates a control score for each KPI, based on both the output of a PID controller module and a metric that quantifies the importance of each KPI for internal business needs.
