Concept
Machine translation
Related publications (250)
The autism susceptibility kinase, TAOK2, phosphorylates eEF2 and modulates translation
Genes implicated in translation control have been associated with autism spectrum disorders (ASDs). However, some important genetic causes of autism, including the 16p11.2 microdeletion, bear no obvious connection to translation. Here, we use proteomics, g ...
Amer Assoc Advancement Science2024Fair real-time control of energy storage systems in active distribution networks in the presence of uncertainties
The thesis explores the issue of fairness in the real-time (RT) control of battery energy storage systems (BESSs) hosted in active distribution networks (ADNs) in the presence of uncertainties by proposing and experimentally validating appropriate control ...
EPFL2024Regularization Techniques for Low-Resource Machine Translation
Neural machine translation (MT) and text generation have recently reached very high levels of quality. However, both areas share a problem: in order to reach these levels, they require massive amounts of data. When this is not present, they lack generaliza ...
EPFL2023Dense Image-based Predictions for Comics Analysis
Dense image-based prediction methods have advanced tremendously in recent years. Their remarkable development has been possible due to the ample availability of real-world imagery. While these methods work well on photographs, their abilities do not genera ...
EPFL2023Opportunities, Challenges, and Pitfalls in Making, Characterizing, and Understanding Polymer Brushes
Polymer brushes have been theoretically described, their behavior under diverse conditions has been modeled, and their preparation via surface-initiated polymerizations (SIPs) has been progressively refined. However, despite three decades of research endea ...
Washington2023Transformer Models for Vision
Jean-Baptiste Francis Marie Juliette Cordonnier
The recent developments of deep learning cover a wide variety of tasks such as image classification, text translation, playing go, and folding proteins.All these successful methods depend on a gradient-based learning algorithm to train a model on massive a ...
EPFL2023Stop Pre-Training: Adapt Visual-Language Models to Unseen Languages
Karl Aberer, Rémi Philippe Lebret, Negar Foroutan Eghlidi
Vision-Language Pre-training (VLP) has advanced the performance of many visionlanguage tasks, such as image-text retrieval, visual entailment, and visual reasoning. The pre-training mostly utilizes lexical databases and image queries in English. Previous w ...
Assoc Computational Linguistics-Acl2023Distributed Optimization with Byzantine Robustness Guarantees
As modern machine learning continues to achieve unprecedented benchmarks, the resource demands to train these advanced models grow drastically. This has led to a paradigm shift towards distributed training. However, the presence of adversariesâwhether ma ...
EPFL2023Effects of Electrode Design on the Melt Electrowriting of Sinusoidal Structures
Melt electrowriting is a microscale manufacturing technique that uses polymer-based melts to create fibrous structures. An electric field is used to stabilize a continuous molten jet, which is then written onto a substrate as a microscale fiber. Herein, it ...
WILEY-V C H VERLAG GMBH2023Biochemistry of Aminoacyl tRNA Synthetase and tRNAs and Their Engineering for Cell-Free and Synthetic Cell Applications
Sebastian Maerkl, Ragunathan Bava Ganesh
Cell-free biology is increasingly utilized for engineering biological systems, incorporating novel functionality, and circumventing many of the complications associated with cells. The central dogma describes the information flow in biology consisting of t ...
FRONTIERS MEDIA SA2022