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Learning Cut Generating Functions for Integer Programming
CGF can outperform the GMI cuts for certain distributions.
Large Language Models for Automated Data Science: Introducing CAAFE for Context-Aware Automated Feature Engineering
As the field of automated machine learning (AutoML) advances, it becomes increasingly important to incorporate domain knowledge into these systems.
Sounding Bodies: Modeling 3D Spatial Sound of Humans Using Body Pose and Audio
The system consumes, as input, audio signals from headset microphones and body pose, and produces, as output, a 3D sound field surrounding the transmitter's
Talking Heads: Understanding Inter-layer Communication in Transformer Language Models
These failure cases are particularly troubling because they are not systematic; it is very difficult to predict when, for example, the order of information seemingly randomly causes a model to fail [Pezeshkpour and Hruschka, 2023, Liu et al., 2024, Li and Gao, 2024, Zheng et al.,
Unsupervised Homography Estimation on Multimodal Image Pair via Alternating Optimization
In response, unsupervised learning approaches have emerged.
Real-Time Selection Under General Constraints via Predictive Inference
Real-time decision-making gets more attention in the big data era.
PACE: Marrying generalization in PArameter-efficient fine-tuning with Consistency rEgularization Yao Ni
To address such an issue, we propose P ACE, marrying generalization of P Arameter-efficient fine-tuning with Consistency rEgularization.