Education
Learning to Scaffold: Optimizing Model Explanations for Teaching
Patrick Fernandes, Marcos Treviso, Danish Pruthi, André F. T. Martins, Graham Neubig
First, a student model is trained to recover the classifier'spredictions andtomatch theexplanations givenbytheexplainer.
Learning from discriminative feature feedback
Sanjoy Dasgupta, Akansha Dey, Nicholas Roberts, Sivan Sabato
Neural Information Processing Systems http://nips.cc/
InternLM-XComposer2-4KHD: A Pioneering Large Vision-Language Model Handling Resolutions from 336 Pixels to 4K HD Xiaoyi Dong
The Large Vision-Language Model (L VLM) field has seen significant advancements, yet its progression has been hindered by challenges in comprehending fine-grained visual content due to limited resolution.
Private Learning Implies Online Learning: An Efficient Reduction
Alon Gonen, Elad Hazan, Shay Moran
Neural Information Processing Systems http://nips.cc/
Diverse Ensemble Evolution: Curriculum Data-Model Marriage
Tianyi Zhou, Shengjie Wang, Jeff A. Bilmes
TheinterplayIv: k models Iu: p samples model) is ensemble.
Lifelong Inverse Reinforcement Learning
Jorge Mendez, Shashank Shivkumar, Eric Eaton
Neural Information Processing Systems http://nips.cc/
Disconnected Manifold Learning for Generative Adversarial Networks
Mahyar Khayatkhoei, Maneesh K. Singh, Ahmed Elgammal
Neural Information Processing Systems http://nips.cc/
