Titlebook: Machine Learning and Knowledge Discovery in Databases. Research Track; European Conference, Albert Bifet,Jesse Davis,Indr? ?liobait? Confer

paradigm

AMEND

On the?Robustness of?Global Feature Effect Explanationsrvised learning are an essential diagnostic tool for model debugging and scientific discovery in applied sciences. However, how vulnerable they are to data and model perturbations remains an open research question. We introduce several theoretical bounds for evaluating the robustness of partial depe

委屈

Federated Learning with?Flexible Architecturesciencies and potential inaccuracies in model training. This limitation hinders the widespread adoption of FL in diverse and resource-constrained environments, such as those with client devices ranging from powerful servers to mobile devices. To address this need, this paper introduces Federated Lear

不自然

A Unified Data Augmentation Framework for?Low-Resource Multi-domain Dialogue Generationning datasets are insufficient or entirely absent. To tackle this challenge, we propose a novel data .ugmentation framework for .ulti-.omain .ialogue .eneration, referred to as .. The AMD.G framework consists of a data augmentation process and a two-stage training approach: domain-agnostic training

NICHE

Improving Diversity in?Black-Box Few-Shot Knowledge Distillationst KD methods require a large training set and internal access to the teacher, which are rarely available due to various restrictions. These challenges have originated a more practical setting known as ., where the student is trained with . and a . teacher. Recent approaches typically generate addit

Ingredient

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FIN

deceive

Contend

ADR: An Adversarial Approach to?Learn Decomposed Representations for?Causal Inference the pre-treatment covariates is the common practice for the inclusion of all possible confounders, it may aggravate the issue of data imbalance. In this paper, we theoretically show that including extra information would increase the variance lower bound. Based on the causal graph, we decompose the