Machine Learning Research at Apple

MAY 10, 2023

Self-training has been shown to be helpful in addressing data scarcity for many domains, including vision, speech, and language. Specifically, self-training, or pseudo-labeling, labels unsupervised data and adds that to the training pool.

Data Scarcity 64

Data Scarcity 64

Marktechpost

JANUARY 29, 2024

Other effective strategies to address data scarcity include vocabulary extension and ongoing pretraining. An important milestone was reached when the XLM-R auto-encoding model was introduced with 278M parameters with language coverage from 100 languages to 534 languages.

Large Language Models 121

Large Language Models Data Scarcity Artificial Intelligence Artificial Intelligence 121

Marktechpost

MARCH 16, 2024

This method leverages pre-trained generative text and image models to create synthetic paired data for VLMs, addressing data scarcity, cost, and noise challenges. It generates both text and images synthetically, avoiding reliance on real-world data. The researchers from Google DeepMind have proposed Synth2.

Data Scarcity 93

Data Scarcity Computer Vision ML Artificial Intelligence 93

Marktechpost

APRIL 23, 2024

Unlike conventional methods, this approach utilizes Bayesian inference and Monte Carlo techniques to effectively manage uncertainty and data scarcity.

Deep Learning 82

Deep Learning Data Scarcity Artificial Intelligence Artificial Intelligence 82

Marktechpost

APRIL 5, 2024

However, there’s potential to significantly improve models for smaller languages through multilingual training, which could mitigate the data scarcity issue.

Data Scarcity 110

Data Scarcity AI Modeling AI AI 110

Marktechpost

JANUARY 15, 2024

Developed by researchers from Apple, aiming to enhance machine translation, AlignInstruct represents a paradigm shift in tackling data scarcity. This is where the novel concept of contrastive alignment instructions, or AlignInstruct, comes into play.

Large Language Models 112

Large Language Models Data Scarcity Computational Linguistics Natural Language Processing 112

Marktechpost

JULY 23, 2023

Data scarcity and data imbalance are two of these challenges. Despite the growing interest in developing ML models for medical imaging, significant challenges can limit such models’ practical applications or even predispose them to substantial bias.

Machine Learning 88

Machine Learning Data Scarcity Algorithm AI Researcher 88

Marktechpost

FEBRUARY 28, 2024

By aligning the embedding space of unimodal FMs through cross-modal transformation models utilizing KG triplets, BioBRIDGE maintains data sufficiency and efficiency and navigates the challenges posed by computational costs and data scarcity that hinder the scalability of multimodal approaches.

Machine Learning 84

Machine Learning AI Researcher AI Research Data Scarcity 84

Marktechpost

DECEMBER 30, 2023

link] To conclude, the TF-T2V framework offers several key advantages: It innovatively utilizes text-free videos, addressing the data scarcity issue prevalent in the field. The dual-branch structure, focusing on spatial appearance and motion dynamics, generates high-quality, coherent video.

Data Scarcity 96

Data Scarcity Computer Vision Artificial Intelligence Artificial Intelligence 96

Marktechpost

DECEMBER 31, 2023

He highlighted the necessity for effective data use by stressing the significant amount of data many AI systems consume. Another researcher highlighted the challenge of considering AI model-free due to market data scarcity for training, particularly in realistic derivative markets.

Neural Network 108

Neural Network Data Scarcity Artificial Intelligence Artificial Intelligence 108

Marktechpost

FEBRUARY 27, 2024

For instance, BloomberGPT excels in finance with private financial data spanning 40 years. Collaborative training on decentralized personal data, without direct sharing, emerges as a critical approach to support the development of modern LLMs amid data scarcity and privacy concerns.

Large Language Models 83

Large Language Models Machine Learning Data Scarcity LLM 83

LevelAI

APRIL 1, 2024

Trend #3: AI-powered contact center solutions will solve the data scarcity problem Without the right solutions in place, QA teams can only analyze up to 5% of all contact center interactions. Unfortunately, this makes it impossible to see the full picture of what’s going on across the contact center due to a lack of data.

Data Scarcity 52

Data Scarcity Generative AI Automation AI Tools 52

Unite.AI

JANUARY 22, 2024

However, generating synthetic data for NLP is non-trivial, demanding high linguistic knowledge, creativity, and diversity. Different methods, such as rule-based and data-driven approaches, have been proposed to generate synthetic data.

NLP 173

NLP BERT Large Language Models Data Scarcity 173

Marktechpost

MARCH 11, 2024

The developed CAT-SD scheme effectively mitigates catastrophic forgetting, addresses data scarcity, and ensures privacy in medical datasets. In conclusion, this study introduces a novel privacy-preserving synthetic continual semantic segmentation approach for robotic instrument segmentation.

Neural Network 86

Neural Network Continuous Learning Robotics Data Scarcity 86

Marktechpost

NOVEMBER 9, 2023

They also make available a sizable collection of artificially photorealistic photos matched with ground truth labels for these kinds of signals to overcome data scarcity. Despite relying just on silhouettes, which are devoid of geometric information, they use surface normals and key points as supplementary clues.

Data Scarcity 117

Data Scarcity Computer Vision AI AI 117

Marktechpost

SEPTEMBER 2, 2023

They optimize the LVLM using synthesized anomalous visual-textual data and incorporating IAD expertise. Direct training using IAD data, however, needs to be improved. Data scarcity is the first. With just a few normal samples, AnomalyGPT can also learn in context, allowing for quick adjustment to new objects.

Data Scarcity 112

Data Scarcity Large Language Models Natural Language Processing LLM 112

TheSequence

APRIL 14, 2024

The method was applied to several LLMs and covers aspects such as vocabulary extension, direct preference optimization and the data scarcity problem —> Read more. SambaLingo Samba Nova published the paper behind SambaLingo, their method for teaching a pretrained LLMs new languages.

Data Scarcity 52

Data Scarcity LLM Neural Network ML 52

Marktechpost

JULY 29, 2023

Overall, the paper presents a significant contribution to the field by addressing the challenge of data scarcity for certain classes and enhancing the performance of CLIP fine-tuning methods using synthesized data. Check out the Paper. All Credit For This Research Goes To the Researchers on This Project.

AI Researcher 87

AI Researcher AI Research Generative AI Data Scarcity 87

Bitext

OCTOBER 6, 2022

Recognize a user´s intent in any chatbot platform: Dialogflow, MS-LUIS, RASA… Enjoy 90% accuracy, guaranteed by SLA Machine Learning is one of the most common use cases for Synthetic Data today, mainly in images or videos.

Data Scarcity 52

Data Scarcity Chatbots Explainability Machine Learning 52

NYU Center for Data Science

FEBRUARY 22, 2024

Trinh identified two critical factors that made geometry an ideal domain for AI exploration: the potential for exhaustive deduction within geometry problems and the relative ease of generating interesting synthetic data for AI training from random exploration.

Data Scarcity 81

Data Scarcity Artificial Intelligence Artificial Intelligence Data Science 81

John Snow Labs

OCTOBER 16, 2023

Strategy and Data: Non-top-performers highlight strategizing (24%), talent availability (21%), and data scarcity (18%) as their leading challenges. Strategy and Data: Non-top performers highlight strategizing (24%), talent availability (21%), and data scarcity (18%) as their leading challenges.

Large Language Models 52

Large Language Models NLP Metadata LLM 52

Viso.ai

DECEMBER 18, 2023

Instead of relying on organic events, we generate this data through computer simulations or generative models. Synthetic data can augment existing datasets, create new datasets, or simulate unique scenarios. Specifically, it solves two key problems: data scarcity and privacy concerns.

Computer Vision 52

Computer Vision Neural Network Auto-complete Data Scarcity 52

Allen AI

NOVEMBER 28, 2023

Furthermore, our distillation framework offers a cost and time-efficient method to collect rich social chitchat data. With SODA, we hope to alleviate the data scarcity issue of social chitchat. naturalness, specificity, consistency).

Large Language Models 52

Large Language Models Data Scarcity LLM AI 52

Mlearning.ai

MAY 23, 2023

This innovative approach tackles the data scarcity issue for less common languages, allowing MMS to surpass this limitation. Meta’s solution stands out by leveraging audio recordings of individuals reading translated texts from the New Testament in various languages. Most of us have used a AI assisant on the phone.

Data Scarcity 52

Data Scarcity Algorithm OpenAI Machine Learning 52

Flipboard

FEBRUARY 14, 2023

Where would you look for a 2023 state of AI infrastructure analysis, if you really needed one? The answer should be obvious, of course, it’s Tel Aviv …

Data Scarcity 52

Data Scarcity AI AI Artificial Intelligence 52

Allen AI

DECEMBER 4, 2023

SODA: Million-scale Dialogue Distillation with Social Commonsense Contextualization Hyunwoo Kim*, Jack Hessel*, Liwei Jiang*, Peter West, Ximing Lu, Youngjae Yu*, Pei Zhou*, Ronan Le Bras*, Malihe Alikhani, Gunhee Kim, Maarten Sap*, Yejin Choi* Data scarcity has been a long-standing issue in the field of open-domain social dialogue.

Large Language Models 52

Large Language Models Natural Language Processing LLM Data Scarcity 52

Viso.ai

FEBRUARY 11, 2024

It’s capable of scalable, photorealistic data generation that includes accurate annotations for training. The Open X-Embodiment (RT-X) dataset is tackling the challenge of data scarcity, aiming to be the ImageNet for robotics.

Computer Vision 52

Computer Vision Robotics Natural Language Processing Data Scarcity 52

Viso.ai

FEBRUARY 11, 2024

It’s capable of scalable, photorealistic data generation that includes accurate annotations for training. The Open X-Embodiment (RT-X) dataset is tackling the challenge of data scarcity, aiming to be the ImageNet for robotics.

Computer Vision 52

Computer Vision Robotics Natural Language Processing Data Scarcity 52

Heartbeat

FEBRUARY 27, 2024

Among these are: Data Augmentation: Data augmentation is a viable solution to some problems that multilingual prompt engineering presents, especially in the context of limited linguistic resources and data scarcity for low-resource languages.

Prompt Engineer 40

Prompt Engineer Prompt Engineering Robotics Deep Learning 40

deepsense.ai

FEBRUARY 6, 2024

Conclusions The release of the Segment Anything Model has brought about a revolution in addressing data scarcity in image segmentation. Our experiment reveals that in certain cases, we can surpass the performance of a model trained on thousands of examples with absolutely no data. Source: own study.

Prompt Engineer 82

Prompt Engineer Prompt Engineering NLP Computer Vision 82

Marktechpost

FEBRUARY 29, 2024

Data scarcity in low-resource languages can be mitigated using word-to-word translations from high-resource languages. However, bilingual lexicons typically need more overlap with task data, leading to inadequate translation coverage. Check out the Paper.

Artificial Intelligence 77

Artificial Intelligence Artificial Intelligence Data Scarcity NLP 77

Heartbeat

NOVEMBER 27, 2023

Data Scarcity and Quality Issues in Medical Imaging One significant challenge in medical image analysis is the need for labeled data, especially for rare diseases or specific patient populations.

Deep Learning 59

Deep Learning Convolutional Neural Networks Explainability Neural Network 59

Viso.ai

JANUARY 2, 2024

Deep Dive: Convolutional Neural Network Algorithms for Specific Challenges CNNs, while powerful, face distinct challenges in their application, particularly in scenarios like data scarcity, overfitting, and unstructured data environments.

Convolutional Neural Networks 52

Convolutional Neural Networks Neural Network Computer Vision Data Scarcity 52

AssemblyAI

SEPTEMBER 22, 2023

Data scarcity: Paired natural anguage descriptions of music and corresponding music recordings are extremely scarce, in contrast to the abundance of image/descriptions pairs available online, e.g. in online art galleries or social media.  This also makes the evaluation step harder and highly subjective.

Convolutional Neural Networks 246

Convolutional Neural Networks AI AI Data Scarcity 246

John Snow Labs

FEBRUARY 29, 2024

Overcoming Data Limitations In healthcare, the availability and quality of data can be significant barriers to research and development. Gen AI addresses this by generating high-quality, synthetic datasets that can supplement real data, enabling researchers and healthcare professionals to overcome data scarcity and privacy concerns.

Generative AI 40

Generative AI AI AI AI Modeling 40

Pickl AI

FEBRUARY 1, 2023

It helps in overcoming some of the drawbacks and bottlenecks of Machine Learning: Data scarcity: Transfer Learning technology doesn’t require reliance on larger data sets. This technology allows models to be fine-tuned using a limited amount of data.

Deep Learning 52

Deep Learning Convolutional Neural Networks Machine Learning Neural Network 52

Topbots

DECEMBER 19, 2023

A key finding is that for a fixed compute budget, training with up to four epochs of repeated data shows negligible differences in loss compared to training with unique data. The paper also explores alternative strategies to mitigate data scarcity.

Large Language Models 110

Large Language Models Natural Language Processing AI Researcher AI Research 110