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Probabilistic Matrix Factorization for Automated Machine Learning
Nicolo Fusi, Rishit Sheth, Melih Elibol
Moreover, given the ever increasing number of machine learning models being developed, model selection is becoming increasingly important.
Re-examination of the Role of Latent Variables in Sequence Modeling
Guokun Lai, Zihang Dai, Yiming Yang, Shinjae Yoo
Neural Information Processing Systems http://nips.cc/
Learning Object Bounding Boxes for 3D Instance Segmentation on Point Clouds
Bo Yang, Jianan Wang, Ronald Clark, Qingyong Hu, Sen Wang, Andrew Markham, Niki Trigoni
Neural Information Processing Systems http://nips.cc/
Large Scale computation of Means and Clusters for Persistence Diagrams using Optimal Transport
Theo Lacombe, Marco Cuturi, Steve OUDOT
Neural Information Processing Systems http://nips.cc/
Selective Generation for Controllable Language Models
Trustworthiness of generative language models (GLMs) is crucial in their deployment to critical decision making systems.
On the Dimensionality of Word Embedding
Neural Information Processing Systems http://nips.cc/
Social-BiGAT: Multimodal Trajectory Forecasting using Bicycle-GAN and Graph Attention Networks
Vineet Kosaraju, Amir Sadeghian, Roberto Martín-Martín, Ian Reid, Hamid Rezatofighi, Silvio Savarese
Neural Information Processing Systems http://nips.cc/
