| 2024 | False Positives in A/B Tests. | Ron Kohavi, Nanyu Chen |
| 2024 | Fast and Accurate Domain Adaptation for Irregular Tensor Decomposition. | Junghun Kim, Ka Hyun Park, Jun-Gi Jang, U Kang |
| 2024 | A Survey on Hypergraph Neural Networks: An In-Depth and Step-By-Step Guide. | Sunwoo Kim, Soo Yong Lee, Yue Gao, Alessia Antelmi, Mirko Polato, Kijung Shin |
| 2024 | Large Language Models meet Collaborative Filtering: An Efficient All-round LLM-based Recommender System. | Sein Kim, Hongseok Kang, Seungyoon Choi, Donghyun Kim, Min-Chul Yang, Chanyoung Park |
| 2024 | CAFO: Feature-Centric Explanation on Time Series Classification. | Jaeho Kim, Seok-Ju Hahn, Yoontae Hwang, Junghye Lee, Seulki Lee |
| 2024 | Gandalf: Learning Label-label Correlations in Extreme Multi-label Classification via Label Features. | Siddhant Kharbanda, Devaansh Gupta, Erik Schultheis, Atmadeep Banerjee, Cho-Jui Hsieh, Rohit Babbar |
| 2024 | Grounding and Evaluation for Large Language Models: Practical Challenges and Lessons Learned (Survey). | Krishnaram Kenthapadi, Mehrnoosh Sameki, Ankur Taly |
| 2024 | Large Scale Hierarchical Industrial Demand Time-Series Forecasting incorporating Sparsity. | Harshavardhan Kamarthi, Aditya B. Sasanur, Xinjie Tong, Xingyu Zhou, James Peters, Joe Czyzyk, B. Aditya Prakash |
| 2024 | Bivariate Decision Trees: Smaller, Interpretable, More Accurate. | Rasul Kairgeldin, Miguel . Carreira-Perpin |
| 2024 | Domain-Driven LLM Development: Insights into RAG and Fine-Tuning Practices. | Jos Cassio dos Santos Junior, Rachel Hu, Richard Song, Yun-Fei Bai |
| 2024 | Sketch-Based Replay Projection for Continual Learning. | Jack Julian, Yun Sing Koh, Albert Bifet |
| 2024 | RJUA-MedDQA: A Multimodal Benchmark for Medical Document Question Answering and Clinical Reasoning. | Congyun Jin, Ming Zhang, Weixiao Ma, Yujiao Li, Yingbo Wang, Yabo Jia, Yuliang Du, Tao Sun, Haowen Wang, Cong Fan, Jinjie Gu, Chenfei Chi, Xiangguo Lv, Fangzhou Li, Wei Xue, Yiran Huang |
| 2024 | RCTD: Reputation-Constrained Truth Discovery in Sybil Attack Crowdsourcing Environment. | Xing Jin, Zhihai Gong, Jiuchuan Jiang, Chao Wang, Jian Zhang, Zhen Wang |
| 2024 | MemMap: An Adaptive and Latent Memory Structure for Dynamic Graph Learning. | Shuo Ji, Mingzhe Liu, Leilei Sun, Chuanren Liu, Tongyu Zhu |
| 2024 | Tensorized Unaligned Multi-view Clustering with Multi-scale Representation Learning. | Jintian Ji, Songhe Feng, Yidong Li |
| 2024 | Mutual Distillation Extracting Spatial-temporal Knowledge for Lightweight Multi-channel Sleep Stage Classification. | Ziyu Jia, Haichao Wang, Yucheng Liu, Tianzi Jiang |
| 2024 | ERASE: Benchmarking Feature Selection Methods for Deep Recommender Systems. | Pengyue Jia, Yejing Wang, Zhaocheng Du, Xiangyu Zhao, Yichao Wang, Bo Chen, Wanyu Wang, Huifeng Guo, Ruiming Tang |
| 2024 | Automatic Multi-Task Learning Framework with Neural Architecture Search in Recommendations. | Shen Jiang, Guanghui Zhu, Yue Wang, Chunfeng Yuan, Yihua Huang |
| 2024 | Killing Two Birds with One Stone: Cross-modal Reinforced Prompting for Graph and Language Tasks. | Wenyuan Jiang, Wenwei Wu, Le Zhang, Zixuan Yuan, Jian Xiang, Jingbo Zhou, Hui Xiong |
| 2024 | FairMatch: Promoting Partial Label Learning by Unlabeled Samples. | Jiahao Jiang, Yuheng Jia, Hui Liu, Junhui Hou |
| 2024 | Interpretable Cascading Mixture-of-Experts for Urban Traffic Congestion Prediction. | Wenzhao Jiang, Jindong Han, Hao Liu, Tao Tao, Naiqiang Tan, Hui Xiong |
| 2024 | Addressing Prediction Delays in Time Series Forecasting: A Continuous GRU Approach with Derivative Regularization. | Sheo Yon Jhin, Seojin Kim, Noseong Park |
| 2024 | Learning Metrics that Maximise Power for Accelerated A/B-Tests. | Olivier Jeunen, Aleksei Ustimenko |
| 2024 | On (Normalised) Discounted Cumulative Gain as an Off-Policy Evaluation Metric for Top- | Olivier Jeunen, Ivan Potapov, Aleksei Ustimenko |
| 2024 | FreQuant: A Reinforcement-Learning based Adaptive Portfolio Optimization with Multi-frequency Decomposition. | Jihyeong Jeon, Jiwon Park, Chanhee Park, U Kang |