Applications of machine learning

T5-SR: A Unified Seq-to-Seq Decoding Strategy for Semantic Parsing

Rethinking Implicit Neural Representations for Vision Learners

Interpretability in the Context of Sequential Cost-Sensitive Feature Acquisition

HEiMDaL: Highly Efficient Method for Detection and Localization of wake-words

LEVERAGING SPARSITY WITH SPIKING RECURRENT NEURAL NETWORKS FOR ENERGY-EFFICIENT KEYWORD SPOTTING

Sparse Mixture Once-for-all Adversarial Training for Efficient In-Situ Trade-Off Between Accuracy and Robustness of DNNs

A geometric surrogate for simulation calibration

Accelerating matrix trace estimation by Aitken's $\Delta^2$ process

Reliable Cluster-based Framework for Open Set Domain Adaptation

Cross-Domain Learning with Normalizing Flow

Deep Root MUSIC Algorithm for Data-Driven DoA Estimation

Transformer-based tracking Network for Maneuvering Targets