Summary of Cost-sensitive Learning to Defer to Multiple Experts with Workload Constraints, by Jean V. Alves et al.
Cost-Sensitive Learning to Defer to Multiple Experts with Workload Constraintsby Jean V. Alves, Diogo Leitão,…
Cost-Sensitive Learning to Defer to Multiple Experts with Workload Constraintsby Jean V. Alves, Diogo Leitão,…
Responsible Artificial Intelligence: A Structured Literature Reviewby Sabrina Goellner, Marina Tropmann-Frick, Bostjan BrumenFirst submitted to…
Counterfactual Reasoning with Knowledge Graph Embeddingsby Lena Zellinger, Andreas Stephan, Benjamin RothFirst submitted to arxiv…
Transformers Learn Low Sensitivity Functions: Investigations and Implicationsby Bhavya Vasudeva, Deqing Fu, Tianyi Zhou, Elliott…
SELMA: Learning and Merging Skill-Specific Text-to-Image Experts with Auto-Generated Databy Jialu Li, Jaemin Cho, Yi-Lin…
The pitfalls of next-token predictionby Gregor Bachmann, Vaishnavh NagarajanFirst submitted to arxiv on: 11 Mar…
Acquiring Diverse Skills using Curriculum Reinforcement Learning with Mixture of Expertsby Onur Celik, Aleksandar Taranovic,…
Guiding LLMs The Right Way: Fast, Non-Invasive Constrained Generationby Luca Beurer-Kellner, Marc Fischer, Martin VechevFirst…
A representation-learning game for classes of prediction tasksby Neria Uzan, Nir WeinbergerFirst submitted to arxiv…
Bayesian Diffusion Models for 3D Shape Reconstructionby Haiyang Xu, Yu Lei, Zeyuan Chen, Xiang Zhang,…