Papers
Towards Unified Representations of Knowledge Graph and Expert Rules for Machine Learning and Reasoning
Zhepei Wei, Yue Wang, Jinnan Li et al.
Unified Framework for Open-World Compositional Zero-Shot Learning
Hirunima Jayasekara, Khoi Pham, Nirat Saini et al.
UMFN: Unified Multi-Domain Face Normalization for Joint Cross-domain Prototype Learning and Heterogeneous Face Recognition
Meng Pang, Wenjun Zhang, Nanrun Zhou et al.
A Unified Accent Estimation Method Based on Multi-Task Learning for Japanese Text-to-Speech
Byeongseon Park, Ryuichi Yamamoto, Kentaro Tachibana
T2V2: A Unified Non-Autoregressive Model for Speech Recognition and Synthesis via Multitask Learning
Nabarun Goswami, Hanqin Wang, Tatsuya Harada
CAPO: A Unified Policy Gradient Approach for Reward and Cost Optimization in Safe Reinforcement Learning (Student Abstract)
Xiaotao Liu, Prashant Mohit, Arvind Easwaran
ULLME: A Unified Framework for Large Language Model Embeddings with Generation-Augmented Learning
Hieu Man, Nghia Trung Ngo, Franck Dernoncourt et al.
UniTRec: A Unified Text-to-Text Transformer and Joint Contrastive Learning Framework for Text-based Recommendation
Zhiming Mao, Huimin Wang, Yiming Du et al.
GIMLET: A Unified Graph-Text Model for Instruction-Based Molecule Zero-Shot Learning
Haiteng Zhao, Shengchao Liu, Ma Chang et al.
Learning User's Intrinsic and Extrinsic Interests for Point-of-Interest Recommendation: A Unified Approach
Huayu Li, Yong Ge, Defu Lian et al.
A Unified Framework for Data Poisoning Attack to Graph-based Semi-supervised Learning
Xuanqing Liu, Si Si, Xiaojin Zhu et al.
A Unified Generalization Analysis of Re-Weighting and Logit-Adjustment for Imbalanced Learning
Zitai Wang, Qianqian Xu, Zhiyong Yang et al.
E2E-AT: A Unified Framework for Tackling Uncertainty in Task-Aware End-to-End Learning
Wangkun Xu, Jianhong Wang, Fei Teng
A Unified Framework for Microscopy Defocus Deblur with Multi-Pyramid Transformer and Contrastive Learning
Yuelin Zhang, Pengyu Zheng, Wanquan Yan et al.
GRDC: A Unified Graph-Driven Framework for Role Discovery and Communication in Multi-Agent Reinforcement Learning
Zihong Gao, Hongjian Liang, Yuanhui Hao et al.