| 2024 | ToDo: Token Downsampling for Efficient Generation of High-Resolution Images. | Ethan Smith, Nayan Saxena, Aninda Saha |
| 2024 | Cooperation and Fairness in Systems of Indirect Reciprocity. | Martin Smit |
| 2024 | Theoretical Study on Multi-objective Heuristic Search. | Shawn Skyler, Shahaf S. Shperberg, Dor Atzmon, Ariel Felner, Oren Salzman, Shao-Hung Chan, Han Zhang, Sven Koenig, William Yeoh, Carlos Hernndez Ulloa |
| 2024 | Fostering Collective Action in Complex Societies Using Community-Based Agents. | Jonathan Skaggs, Michael Richards, Melissa Morris, Michael A. Goodrich, Jacob W. Crandall |
| 2024 | A Self-explaining Neural Architecture for Generalizable Concept Learning. | Sanchit Sinha, Guangzhi Xiong, Aidong Zhang |
| 2024 | Langshaw: Declarative Interaction Protocols Based on Sayso and Conflict. | Munindar P. Singh, Samuel H. Christie V., Amit K. Chopra |
| 2024 | Self-Supervised Vision for Climate Downscaling. | Karandeep Singh, Chaeyoon Jeong, Naufal Shidqi, Sungwon Park, Arjun Nellikkattil, Elke Zeller, Meeyoung Cha |
| 2024 | SUKHSANDESH: An Avatar Therapeutic Question Answering Platform for Sexual Education in Rural India. | Salam Michael Singh, Shubhmoy Kumar Garg, Amitesh Misra, Aaditeshwar Seth, Tanmoy Chakraborty |
| 2024 | From Pink and Blue to a Rainbow Hue! Defying Gender Bias through Gender Neutralizing Text Transformations. | Gopendra Vikram Singh, Soumitra Ghosh, Neil Dcruze, Asif Ekbal |
| 2024 | Building Expressive and Tractable Probabilistic Generative Models: A Review. | Sahil Sidheekh, Sriraam Natarajan |
| 2024 | Learning Pareto Set for Multi-Objective Continuous Robot Control. | Tianye Shu, Ke Shang, Cheng Gong, Yang Nan, Hisao Ishibuchi |
| 2024 | Towards a Resilient Intelligent Automation System. | Segev Shlomov, Sami Marreed, Avi Yaeli |
| 2024 | Estimating Conditional Average Treatment Effects via Sufficient Representation Learning. | Pengfei Shi, Wei Zhong, Xinyu Zhang, Ningtao Wang, Xing Fu, Weiqiang Wang, Yin Jin |
| 2024 | Conflict-Alleviated Gradient Descent for Adaptive Object Detection. | Wenxu Shi, Bochuan Zheng |
| 2024 | Efficient Correlated Subgraph Searches for AI-powered Drug Discovery. | Hiroaki Shiokawa, Yuma Naoi, Shohei Matsugu |
| 2024 | Dynamic Many-Objective Molecular Optimization: Unfolding Complexity with Objective Decomposition and Progressive Optimization. | Dong-Hee Shin, Young-Han Son, Deok-Joong Lee, Ji-Wung Han, Tae-Eui Kam |
| 2024 | O2ARC 3.0: A Platform for Solving and Creating ARC Tasks. | Suyeon Shim, Dohyun Ko, Hosung Lee, Seokki Lee, Doyoon Song, Sanha Hwang, Sejin Kim, Sundong Kim |
| 2024 | Learning with Posterior Sampling for Revenue Management under Time-varying Demand. | Kazuma Shimizu, Junya Honda, Shinji Ito, Shinji Nakadai |
| 2024 | Information-Theoretic Opacity-Enforcement in Markov Decision Processes. | Chongyang Shi, Yuheng Bu, Jie Fu |
| 2024 | Agentive Permissions in Multiagent Systems. | Qi Shi |
| 2024 | A Context-Enhanced Framework for Sequential Graph Reasoning. | Shuo Shi, Chao Peng, Chenyang Xu, Zhengfeng Yang |
| 2024 | Ten Words Only Still Help: Improving Black-Box AI-Generated Text Detection via Proxy-Guided Efficient Re-Sampling. | Yuhui Shi, Qiang Sheng, Juan Cao, Hao Mi, Beizhe Hu, Danding Wang |
| 2024 | TIM: An Efficient Temporal Interaction Module for Spiking Transformer. | Sicheng Shen, Dongcheng Zhao, Guobin Shen, Yi Zeng |
| 2024 | Efficient Screen Content Image Compression via Superpixel-based Content Aggregation and Dynamic Feature Fusion. | Sheng Shen, Huanjing Yue, Jingyu Yang |
| 2024 | Supervised Algorithmic Fairness in Distribution Shifts: A Survey. | Minglai Shao, Dong Li, Chen Zhao, Xintao Wu, Yujie Lin, Qin Tian |