Yanling Xiao, Lemao Liu, Guoping Huang, Qu Cui, Shujian Huang, Shuming Shi, and Jiajun Chen. BiTIIMT: A Bilingual Text-Infilling Method for Interactive Machine Translation. Proceedings of ACL 2022. Yangming Li, Lemao Liu, and Shuming Shi. Rethinking Negative Sampling for Handling Missing Entity Annotations. Proceedings of ACL 2022.
Semantic Scholar extracted view of "Gap infilling of daily streamflow data using a machine learning algorithm (MissForest) for impact assessment of human activities" by Yuanyuan Zhou et al.
Quasi-static infilling simulations on 3D reconstructions of the separator structure indicate that there can be up to 30% gas entrapment upon infilling due to the geometry of the separator, which results in a reduction of effective transport by >40%. Considering the dynamics of the electrolyte (e.g., viscosity) and the infilling process …
sentences infilled by our approach as machine-generated in the domain of short stories. 1 Introduction Text infilling is the task of predicting missing spans of text which are consistent with the preceding and subsequent text.1 Systems capable of infilling have the potential to enable rich applications such as
Abstract Historical in situ ocean temperature profile measurements are important for a wide range of ocean and climate research activities. A large proportion of the profile observations have …
@inproceedings{reprog2023,n title={Reprogramming Pretrained Language Models for Antibody Sequence Infilling},n author={Melnyk, Igor and Chenthamarakshan, Vijil and Chen, Pin-Yu and Das, Payel and Dhurandhar, Amit and Padhi, Inkit and Das, Devleena},n booktitle={Proceedings of the 2023 International Conference on Machine Learning …
Request PDF | Improved Infilling of Missing Metadata from Expendable Bathythermographs (XBTs) Using Multiple Machine Learning Methods | Historical in situ ocean temperature profile measurements ...
Code Llama is a state-of-the-art large language model (LLM) capable of generating code and natural language about code from both code and natural language prompts. You can try out this model with SageMaker JumpStart, a machine learning (ML) hub that provides access to algorithms, models, and ML solutions so you can quickly get …
Cozzoli offers inline or rotary filling with piston, peristaltic pump, diaphragm pump or time pressure technology. Our machines handle a broad range of container shapes and fill viscosities from aqueous to heavy creams. …
The infilling process is relatively simple and involves spreading the sand with a drop spreader or cast spreader, followed by brushing it into the fibers with a stiff broom. Larger projects may require a brush machine for efficient infilling. That said, even for high-traffic areas, non-infill artificial grass can be considered for specific ...
Simplest infilling approaches along with more developed techniques, such as model-based deterministic imputation method and machine learning method, were discussed.
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Antibodies comprise the most versatile class of binding molecules, with numerous applications in biomedicine. Computational design of antibodies involves generating novel and diverse sequences, while maintaining structural consistency. Unique to antibodies, designing the complementarity-determining region (CDR), which …
Missing rainfall data has been a prevalent issue and primarily interested in hydrology and meteorology. This research aimed to examine the capability of machine learning (ML) and spatial interpolation (SI) methods to estimate missing monthly rainfall data. Six ML algorithms (i.e. multiple linear regression (MLR), M5 model tree (M5), …
Traditional Infilling and Combing Machine The artificial turf brushing machine is designed for maintaining lush green lawns. This efficient tool effortlessly sweeps and infills sand, ensuring your synthetic turf's pristine and natural appearance.
Request PDF | On Jan 1, 2022, Yanling Xiao and others published BiTIIMT: A Bilingual Text-infilling Method for Interactive Machine Translation | Find, read and cite all the research you need on ...
Then, multi-level MSE loss can be calculated. Ideally, the generator will generate infilling content of different resolutions following y 0, y 1, y 2, y 3 and y 4, respectively. However, due to the phased nature …
A liquid filling machine fills bottles, jars and containers with liquid products such as beverages, chemicals, cosmetics, pharmaceuticals, and food. These machines dispense a precise amount of liquid into each …
Random forests use machine learning by combining many regression trees (for continuous variables) or classification trees (for ... 2021. "Comparison of Missing Data Infilling Mechanisms for …
The infilling of gaps in daily streamflow series in regions with different climates is more challenging than previous applications because streamflow temporal and spatial variability is higher. Clearly, the gap-filled data are more accurate when examining trends at the annual scale, followed by the monthly scale and, finally, the daily scale ...
Andam-Akorf ul, "Comparis on of Missin g Data Infilling Mechanis ms for Recovering a Real-World S ingle Station Str eamflow Observation", Int. J. Enviro n. Res. Publ ic Health, vo l. 18, no ...
Integrating Vectorized Lexical Constraints for Neural Machine Translation. ; ：; ：; ：; ：NMT,; ：,NMT
Numerous capability and safety techniques of Large Language Models (LLMs), including RLHF, automated red-teaming, prompt engineering, and infilling, can be cast as sampling from an unnormalized target distribution defined by a given reward or potential function over the full sequence. In this work, we leverage the rich toolkit of …
In 3D , infill plays an important role in a part's strength, structure, and weight. Read on to learn more about it.
There have been various types of pretraining architectures including autoencoding models (e.g., BERT), autoregressive models (e.g., GPT), and encoder-decoder models (e.g., T5). However, none of the pretraining frameworks performs the best for all tasks of three main categories including natural language understanding (NLU), …
Word forms: 3rd person singular present tense infills, present participle infilling, past tense, past participle infilled. transitive verb. To infill a hollow place or gap means to fill it. [mainly British] regional note: in AM, use fill in. ... washing machine. armchair. sofa.
LOGO INFILLING. Possible Causes and Solutions: • Inappropriate design of logo(e.g. too detailed or too fine) - Select a different logo design (with increased area within the debussing and modified angles)
Downloadable (with restrictions)! Length, completeness, and quality of hydrological time-series can affect considerably the efficiency of decisions in water resources engineering. Regrettably, obtaining short, incomplete, and low-quality data is not rare. In this study, different machine learning techniques have been implemented and applied to fill in …
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The Accu-Doser is an 8 head automatic high precision mini dose filling/dispensing machine capable of accurately filling from 0.1 ML to 200 ML. The Accu-Doser was designed to fill …