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• Reward-Biased Maximum Likelihood Estimation for Neural Contextual Bandits: A Distributional Learning Perspective

  Yu-Heng Hung, Ping-Chun Hsieh

  7944-7952

  2023-06-26

• Retrieval-driven Reasoning for Deliberative Visual Classification

  Jianye Xie, Lianyong Qi, Fan Wang, Anqi Wang, Wenjuan Gong, Danxin Wang, Wanchun Dou, Yang Cao, Shichao Pei, Xiaokang Zhou

  11060-11068

  2026-03-14

• How Does Alignment Enhance LLMs’ Multilingual Capabilities? A Language Neurons Perspective

  Shimao Zhang, Zhejian Lai, Xiang Liu, Shuaijie She, Xiao Liu, Yeyun Gong, Shujian Huang, Jiajun Chen

  34799-34807

  2026-03-14

• Continuous-Time Graph Representation with Sequential Survival Process

  Abdulkadir Çelikkanat, Nikolaos Nakis, Morten Mørup

  11177-11185

  2024-03-24

• Synthetic Tabular Data Generation for Imbalanced Classification: The Surprising Effectiveness of an Overlap Class

  Annie D'souza, Swetha M, Sunita Sarawagi

  16127-16134

  2025-04-11

• DDGCN: Dual Dynamic Graph Convolutional Networks for Rumor Detection on Social Media

  Mengzhu Sun, Xi Zhang, Jiaqi Zheng, Guixiang Ma

  4611-4619

  2022-06-28

• Play as You Like: Timbre-Enhanced Multi-Modal Music Style Transfer

  Chien-Yu Lu, Min-Xin Xue, Chia-Che Chang, Che-Rung Lee, Li Su

  1061-1068

  2019-07-17

• When Can We Approximate Wide Contrastive Models with Neural Tangent Kernels and Principal Component Analysis?

  Gautham Govind Anil, Pascal Esser, Debarghya Ghoshdastidar

  15399-15407

  2025-04-11

• Fair Graph U-Net: A Fair Graph Learning Framework Integrating Group and Individual Awareness

  Zichong Wang, Zhibo Chu, Thang Viet Doan, Shaowei Wang, Yongkai Wu, Vasile Palade, Wenbin Zhang

  28485-28493

  2025-04-11

• Collaborative Graph Convolutional Networks: Unsupervised Learning Meets Semi-Supervised Learning

  Binyuan Hui, Pengfei Zhu, Qinghua Hu

  4215-4222

  2020-04-03

• Catch-Up Mix: Catch-Up Class for Struggling Filters in CNN

  Minsoo Kang, Minkoo Kang, Suhyun Kim

  2705-2713

  2024-03-24

• A Task in a Suit and a Tie: Paraphrase Generation with Semantic Augmentation

  Su Wang, Rahul Gupta, Nancy Chang, Jason Baldridge

  7176-7183

  2019-07-17

• Adaptive Diffusion-based Augmentation for Recommendation

  Na Li, Fanghui Sun, Yan Zou, Yangfu Zhu, Xiatian Zhu, Ying Ma

  15117-15125

  2026-03-14

• On the Calibration and Uncertainty with Pólya-Gamma Augmentation for Dialog Retrieval Models

  Tong Ye, Shijing Si, Jianzong Wang, Ning Cheng, Zhitao Li, Jing Xiao

  13923-13931

  2023-06-26

• TRACE: Textual Relevance Augmentation and Contextual Encoding for Multimodal Hate Detection

  Girish A. Koushik, Helen Treharne, Aditya Joshi, Diptesh Kanojia

  38763-38771

  2026-03-14

• State-Augmentation Transformations for Risk-Sensitive Reinforcement Learning

  Shuai Ma, Jia Yuan Yu

  4512-4519

  2019-07-17

• Structural Correspondence Learning for Cross-Lingual Sentiment Classification with One-to-Many Mappings

  Nana Li, Shuangfei Zhai, Zhongfei Zhang, Boying Liu

  2017-02-12

• ICU Mortality Prediction: A Classification Algorithm for Imbalanced Datasets

  Sakyajit Bhattacharya, Vaibhav Rajan, Harsh Shrivastava

  2017-02-12

• Robustness to Spurious Correlations in Text Classification via Automatically Generated Counterfactuals

  Zhao Wang, Aron Culotta

  14024-14031

  2021-05-18

• Reputation-aware Revenue Allocation for Auction-based Federated Learning

  Xiaoli Tang, Han Yu

  20832-20840

  2025-04-11

• Towards In-Distribution Compatible Out-of-Distribution Detection

  Boxi Wu, Jie Jiang, Haidong Ren, Zifan Du, Wenxiao Wang, Zhifeng Li, Deng Cai, Xiaofei He, Binbin Lin, Wei Liu

  10333-10341

  2023-06-26

• RegMixMatch: Optimizing Mixup Utilization in Semi-Supervised Learning

  Haorong Han, Jidong Yuan, Chixuan Wei, Zhongyang Yu

  17032-17040

  2025-04-11

• Content Diversity-guided Ambiguity Mitigation for Open-Set Noisy Label Learning

  Zhihao Zhou, Rui Li, Xueying Li

  13889-13897

  2026-03-14

• Adapting Language Models for Non-Parallel Author-Stylized Rewriting

  Bakhtiyar Syed, Gaurav Verma, Balaji Vasan Srinivasan, Anandhavelu Natarajan, Vasudeva Varma

  9008-9015

  2020-04-03

• z-SignFedAvg: A Unified Stochastic Sign-Based Compression for Federated Learning

  Zhiwei Tang, Yanmeng Wang, Tsung-Hui Chang

  15301-15309

  2024-03-24