Pipeline Analysis for Developing Instruct LLMs in Low-Resource Languages: A Case Study on Basqueby Ander…
Boosting Fine-Grained Visual Anomaly Detection with Coarse-Knowledge-Aware Adversarial Learningby Qingqing Fang, Qinliang Su, Wenxi Lv,…
Graph Similarity Computation via Interpretable Neural Node Alignmentby Jingjing Wang, Hongjie Zhu, Haoran Xie, Fu…
Multi-Surrogate-Teacher Assistance for Representation Alignment in Fingerprint-based Indoor Localizationby Son Minh Nguyen, Linh Duy Tran,…
Gramian Multimodal Representation Learning and Alignmentby Giordano Cicchetti, Eleonora Grassucci, Luigi Sigillo, Danilo ComminielloFirst submitted…
Universal Domain Adaptive Object Detection via Dual Probabilistic Alignmentby Yuanfan Zheng, Jinlin Wu, Wuyang Li,…
Wearable Accelerometer Foundation Models for Health via Knowledge Distillationby Salar Abbaspourazad, Anshuman Mishra, Joseph Futoma,…
GraphMoRE: Mitigating Topological Heterogeneity via Mixture of Riemannian Expertsby Zihao Guo, Qingyun Sun, Haonan Yuan,…
Zigzag Diffusion Sampling: Diffusion Models Can Self-Improve via Self-Reflectionby Lichen Bai, Shitong Shao, Zikai Zhou,…
SafetyDPO: Scalable Safety Alignment for Text-to-Image Generationby Runtao Liu, Chen I Chieh, Jindong Gu, Jipeng…