#fewshotlearning ผลการค้นหา

AdaMix proves its edge in few-shot NLU, consistently outperforming full fine-tuning across GLUE benchmarks with BERT and RoBERTa. - hackernoon.com/smarter-ai-tra… #fewshotlearning #pretrainedlanguagemodels

AdaMix improves fine-tuning of large language models by mixing adaptation modules—outperforming full tuning with just 0.2% parameters. - hackernoon.com/beating-full-f… #fewshotlearning #pretrainedlanguagemodels

Ablation studies on AdaMix reveal why adaptation merging, consistency regularization, and module sharing drive superior fine-tuning performance. - hackernoon.com/the-role-of-co… #fewshotlearning #pretrainedlanguagemodels

AdaMix outperforms fine-tuning and top PEFT methods across NLU, NLG, and few-shot NLP tasks, proving both efficient and powerful. - hackernoon.com/smarter-fine-t… #fewshotlearning #pretrainedlanguagemodels

Discover how Mixture-of-Adaptations uses random routing and weight merging to fine-tune language models with less cost and better performance. - hackernoon.com/how-mixture-of… #fewshotlearning #pretrainedlanguagemodels

AdaMix fine-tunes large language models with just 0.1% of parameters, beating full fine-tuning in performance and efficiency. - hackernoon.com/how-to-improve… #fewshotlearning #pretrainedlanguagemodels

Few-shot learning through transfer reduces data hunger from millions to dozens of examples. When models understand visual concepts generally, they need few examples to learn specific categories. Efficiency through prior knowledge. #TransferLearning #FewShotLearning…

🧠 Few-shot & Zero-shot Learning = teaching LLMs with few or no examples! Unlock smarter AI with models like GPT & BERT. Explore the future of learning! 🔗linkedin.com/in/octogenex/r… 🔗instagram.com/ds_with_octoge… #AI365 #LLMs #FewShotLearning #ZeroShotLearning

🚀 What if your #AI could learn from just 2–5 examples? That’s the promise of #FewShotLearning—changing the economics of #AIDevelopment. 👉 Full guide: bit.ly/Few-Shot-Learn… #MachineLearning #ModelTraining #Innovation

Zero-shot vs few-shot learning — discover how AI tackles new tasks with no examples or just a few! #zeroshotlearning #fewshotlearning #machinelearning #artificialintelligence #deeplearning #aitraining #nlp #generativeai #datascience #aieducation #mlmodels #aitech #alchetron

This new method, called DeMul, helps computers learn from just a few examples. Instead of needing lots of text descriptions, DeMul learns directly from powerful language models. This makes it better at recognizing things in images, even with limited data. #FewShotLearning…

Prompt Engineering is like modern-day sorcery 🪄 You don’t need to code, just know how to ask smart questions. What’s your favorite AI prompt trick or tip? 👇 #PromptEngineering #FewShotLearning #AIinAfrica #N711aiLab

Big news! New research shows impressive gains in few-shot learning. Could this finally bridge the gap between narrow & general AI? 🤔 This opens HUGE doors for wider ML adoption. What practical applications excite YOU most? 🚀 #FewShotLearning #MachineLearning #AI

12/20Learn prompt engineering systematically. It's not just "be nice to the AI." Study few-shot learning, chain-of-thought prompting, and instruction following. It's a skill that multiplies your impact. #PromptEngineering #FewShotLearning #ChainOfThought

3/n In AI, this is called MAML — Model-Agnostic Meta Learning. It lets AI adapt to new tasks fast, using just a few examples. Like India adapting to global drama, even when the old mediator is now the problem. 😂 #MAML #FewShotLearning

可行性革命！独创的'小样本学习'技术破解AI落地最大痛点 - 数据不足不再是障碍！#AIforALL #FewShotLearning

Few-Shot Learning on Raspberry Pi: Image Classifier Demo #FewShotLearning #RaspberryPi #ImageClassifier #MachineLearning #AI #EdgeComputing #LowPowerAI #AnalogicalReasoning #AIMODELS #TechDemo

6位：自己教師あり学習 & Few-shot → ラベルなし・少量データでの学習がより実用レベルに #SelfSupervised #FewShotLearning 7位：ロバスト性 & セキュリティ → 敵対的攻撃やノイズへの耐性を強化する研究が進行中 #AIセキュリティ #AdversarialAI 8位：軽量モデル（エッジ向け） →…

Kreinovich present mathematical insights showing neural networks can learn from small datasets — and quickly. This hints at overlooked potential in current models. #FewShotLearning #SampleEfficiency #MLTheory

With a large amount of unlabeled training data available and model size increasing, the #AI community developed the so-called #zeroshot and #fewshotlearning. Read on learn more about what it means and its applications here buff.ly/3aTB0Fm #AIML #ArtificialIntelligence

⚡️@ECIDCUBA día 4: Viendo método de #FewShotLearning implementados en #PyTorch

Here is how you can teach your model to learn quickly from a few examples #fewshotlearning sicara.ai/blog/2019-07-3…

💥 EasyFSL 1.0 is out! Exactly🎈1 year🎈after the first release, I'm excited to share this new version of my #OpenSource library meant to boost #FewShotLearning research. Let's see what's new ⬇️

🚀 What if your #AI could learn from just 2–5 examples? That’s the promise of #FewShotLearning—changing the economics of #AIDevelopment. 👉 Full guide: bit.ly/Few-Shot-Learn… #MachineLearning #ModelTraining #Innovation

Zero-shot vs few-shot learning — discover how AI tackles new tasks with no examples or just a few! #zeroshotlearning #fewshotlearning #machinelearning #artificialintelligence #deeplearning #aitraining #nlp #generativeai #datascience #aieducation #mlmodels #aitech #alchetron

4/ BrainWave shows impressive few-shot learning capabilities, achieving high accuracy with just 3-8 labeled examples per class. This could dramatically reduce annotation needs for new clinical applications. #FewShotLearning #EfficientAI

🧠 Few-shot & Zero-shot Learning = teaching LLMs with few or no examples! Unlock smarter AI with models like GPT & BERT. Explore the future of learning! 🔗linkedin.com/in/octogenex/r… 🔗instagram.com/ds_with_octoge… #AI365 #LLMs #FewShotLearning #ZeroShotLearning

We used few-shot learning & CNNs to segment leaves & veins in 2,906 Populus trichocarpa images. Our method needs minimal training data (just 8 images for veins) & no preprocessing. #PlantPhenotyping #FewShotLearning Details: spj.science.org/doi/10.34133/p…

Expert Lecture Alert! Join Dr. M.P. Singh, NIT Patna, on Few-shot Learning in Medical Image Segmentation & Classification. 14 Nov, Thursday, 11:00 AM - 1:00 PM. #MedicalImaging #AI #FewShotLearning #NirmaUniversity

This can't continue. #ArtificialIntelligence needs more #FewShotLearning now more than ever! @fchollet @sirajraval @karpathy @TeachTheMachine #AI

In this paper, we introduce a self-supervised pre-training method for learning tasks on point clouds in the FSL setup. #fewshotlearning #selfsupervisedlearning

Few-shot learning? what? Making predictions based on few labeled samples. how? prediction depends on features rather labels. In the pic, if class changed from tiger to panthera-tigris still query pic belongs to it. #ArtificialIntelligence #fewshotlearning #MachineLearning

Training Strategies for Radiology Deep Learning Models in Data-Limited Scenarios doi.org/10.1148/ryai.2… @smcandemir @LesFolio @OSUWexMed #FewShotLearning #TransferLearning #MachineLearning

Model training strategies for image analysis in data-limited scenarios doi.org/10.1148/ryai.2… @smcandemir @LesFolio @OSURadiology #FewShotLearning #AI #ML

Learn model training strategies to work around limited data doi.org/10.1148/ryai.2… @smcandemir @lmprevedello @OSUWexMed #FewShotLearning #AI #ML #NeurIPS2021

RAFT: A Real-World Few-Shot Text Classification Benchmark - is.gd/STQF0G - #ArXiv #FewshotLearning #MachineLearning #NaturalLanguageProcessingNLP #Pretraining

Our Lead Data Scientist @ClementWalter ,Ph.D in Statistics, will give a presentation about Few Short Learning at PyData Florence #fewshotlearning

My paper about #Fewshotlearning have just been accepted to #IEEEAccess (Q1) This is my very first journal paper as the main author. I am looking forward to have more For those who are interested, here are the preprint version: arxiv.org/abs/2211.06828

Training #DeepLearning models requires a lot of data. How can you train one with limited data? doi.org/10.1148/ryai.2… @lmprevedello @LesFolio @OSUWexMed #FewShotLearning #AI #ML