Multilingual Few-Shot Learning via Language Model Retrieval

no code implementations • 19 Jun 2023 • Genta Indra Winata, Liang-Kang Huang, Soumya Vadlamannati, Yash Chandarana

Transformer-based language models have achieved remarkable success in few-shot in-context learning and drawn a lot of research interest.

Few-Shot Learning In-Context Learning +6

Reward Learning from Narrated Demonstrations

no code implementations • CVPR 2018 • Hsiao-Yu Fish Tung, Adam W. Harley, Liang-Kang Huang, Katerina Fragkiadaki

Humans effortlessly "program" one another by communicating goals and desires in natural language.

Learning Robust Visual-Semantic Embeddings

no code implementations • ICCV 2017 • Yao-Hung Hubert Tsai, Liang-Kang Huang, Ruslan Salakhutdinov

Many of the existing methods for learning joint embedding of images and text use only supervised information from paired images and its textual attributes.

Generalized Few-Shot Learning Representation Learning +1