Xin Xu

Mining maximal approximate numerical frequent patterns from uncertain data and application for emitter entity resolution

2017 · Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE

Numerous fuzzy pattern mining methods have been proposed to address the uncertainty and incompleteness of quantitative data. Traditional fuzzy pattern mining methods generally have to transform the original quantitative values into either crystal items or …

Online Sparse Temporal Difference Learning Based on Nested Optimization and Regularized Dual Averaging

2021 · IEEE Transactions on Systems Man and Cybernetics Systems

In policy evaluation of reinforcement learning tasks, the temporal difference (TD) learning with value function approximation has been widely studied. However, feature representation has a decisive influence on both accuracy of value function approximation and …

LAMBADA: Backward Chaining for Automated Reasoning in Natural Language

2022 · arXiv (Cornell University)

Remarkable progress has been made on automated reasoning with natural text, by using Language Models (LMs) and methods such as Chain-of-Thought and Selection-Inference. These techniques search for proofs in the forward direction from axioms to …

Patch-Mixing Contrastive Regularization for Few-Label Semi-Supervised Learning

2023 · IEEE Transactions on Artificial Intelligence

Recently, consistency regularization has become a fundamental component in semi-supervised learning, which tries to make the network's predictions on unlabeled data to be invariant to perturbations. However, its performance decreases drastically when there are scarce …

ICMC-ASR: The ICASSP 2024 In-Car Multi-Channel Automatic Speech Recognition Challenge

2024

To promote speech processing and recognition research in driving scenarios, we build on the success of the Intelligent Cockpit Speech Recognition Challenge (ICSRC) held at ISCSLP 2022 and launch the ICASSP 2024 In-Car Multi-Channel Automatic …