- Tuning language models as training data generators for ...🔍
- Accepted Main Conference Papers🔍
- NeurIPS 2024 Schedule🔍
- Medical Cross|Modal Prompt Hashing with Robust Noisy ...🔍
- ICML 2024 Papers🔍
- Guiding Frozen Language Models with Learned Soft Prompts🔍
- Machine Learning with Individualized Privacy Guarantees; Private ...🔍
- Fine Tuning vs. Prompt Engineering Large Language Models🔍
Why Is Prompt Tuning for Vision|Language Models Robust to Noisy ...
Tuning language models as training data generators for ...
Recent studies have revealed the intriguing few-shot learning ability of pretrained language models (PLMs): They can quickly adapt to a new ...
Accepted Main Conference Papers - ACL 2024
Long Papers · Quantized Side Tuning: Fast and Memory-Efficient Tuning of Quantized Large Language Models · Unsupervised Multimodal Clustering for Semantics ...
... Vision-Language Models · SPIQA: A Dataset for Multimodal Question Answering on Scientific Papers · Steganalysis on Digital Watermarking: Is Your Robustness a ...
Medical Cross-Modal Prompt Hashing with Robust Noisy ... - OUCI
... prompt for vision-language models. International Journal of Computer Vision (IJCV) 130(9), 2337–2348 (2022) https://doi.org/10.1007/s11263-022-01653-1. About ...
Self-Play Fine-Tuning Converts Weak Language Models to Strong Language Models ... How Private are DP-SGD Implementations? Prompt-tuning Latent Diffusion Models ...
Guiding Frozen Language Models with Learned Soft Prompts
Prompt tuning retains the strong task performance of model tuning, while keeping the pre-trained model frozen, enabling efficient multitask ...
Machine Learning with Individualized Privacy Guarantees; Private ...
Title: Private Prompt Learning for Large Language Models. Abstract: Large language models (LLMs) are excellent in-context learners. However, the sensitivity ...
Fine Tuning vs. Prompt Engineering Large Language Models
Prompt Engineering: the art of coaxing the model's latent space to get what you want · Fine-tuning: Updating model parameters · How you update the ...
Private Prompt Learning for Large Language Models - YouTube
... tuning LLMs with known algorithms for ... reliable machine learning methods for training and inference of ML models while preserving data
Machine Learning Glossary - Google for Developers
All Transformer-based large language models are auto-regressive. In ... strong" classifier) by upweighting the examples that the model ...
NeurIPS Poster Vision-Language Models are Strong Noisy Label ...
Poster. Vision-Language Models are Strong Noisy Label Detectors. Hao-Tian Li · Tong Wei · Chun-Shu Li · Jiang-Xin Shi · Yu-Feng Li · Min-Ling Zhang.
openai/whisper-large-v3 - Hugging Face
Whisper is a state-of-the-art model for automatic speech recognition (ASR) and speech translation, proposed in the paper Robust Speech Recognition via Large- ...
Diferentially Private Prompt Learning for Large Language Models
... prompt LLMs. To address this vulnerability, one could forego prompting and resort to fine-tuning LLMs with known algorithms for private ...
CLIP: Connecting text and images - OpenAI
... vision models have traditionally been ... language, CLIP models are significantly more flexible and general than existing ImageNet models.
Recent advancements in vision-language models (VLMs) offer potential for ... robust architectures of Large Language Models (LLMs). However, as token ...
Vision-Language Models are Strong Noisy Label Detectors · Optical Diffusion Models for Image Generation · RelBench: A Benchmark for Deep Learning on Relational ...
Black-box Prompt Tuning for Vision-Language Model as a Service
for the derivative-free methods without strong fitting mecha- nisms like gradient descent. Performance of Various Optimization Algorithms and. Prompt Designs.
Llama 3.2: Revolutionizing edge AI and vision with open ... - AI at Meta
The 11B and 90B models can also bridge the gap between vision and language ... tuning, synthetic data generation) to customize Llama models ...
Noise-robust Vision-language Pre-training with Positive-negative ...
Based on the above observations, we propose a novel NoisE-robust Vision-languagE pRe-training method (NEVER) to endow the VLP model with ...
Learning to Prompt for Vision Language Models (Eng) - YouTube
Learning to Prompt for Vision Language Models (Eng). 813 views · 1 year ago ...more. UVLL : UNIST Vision&Learning Lab. 439. Subscribe.