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• Attack Deterministic Conditional Image Generative Models for Diverse and Controllable Generation

  Tianyi Chu, Wei Xing, Jiafu Chen, Zhizhong Wang, Jiakai Sun, Lei Zhao, Haibo Chen, Huaizhong Lin

  1362-1370

  2024-03-24

• Learning to Learn Better Visual Prompts

  Fengxiang Wang, Wanrong Huang, Shaowu Yang, Qi Fan, Long Lan

  5354-5363

  2024-03-24

• Importance-Aware Semantic Segmentation in Self-Driving with Discrete Wasserstein Training

  Xiaofeng Liu, Yuzhuo Han, Song Bai, Yi Ge, Tianxing Wang, Xu Han, Site Li, Jane You, Jun Lu

  11629-11636

  2020-04-03

• Rethinking Masked Data Reconstruction Pretraining for Strong 3D Action Representation Learning

  Tao Gong, Qi Chu, Bin Liu, Nenghai Yu

  3149-3157

  2025-04-11

• Importance-Aware Learning for Neural Headline Editing

  Qingyang Wu, Lei Li, Hao Zhou, Ying Zeng, Zhou Yu

  9282-9289

  2020-04-03

• ActionBert: Leveraging User Actions for Semantic Understanding of User Interfaces

  Zecheng He, Srinivas Sunkara, Xiaoxue Zang, Ying Xu, Lijuan Liu, Nevan Wichers, Gabriel Schubiner, Ruby Lee, Jindong Chen

  5931-5938

  2021-05-18

• KG-BART: Knowledge Graph-Augmented BART for Generative Commonsense Reasoning

  Ye Liu, Yao Wan, Lifang He, Hao Peng, Philip S. Yu

  6418-6425

  2021-05-18

• IsoBN: Fine-Tuning BERT with Isotropic Batch Normalization

  Wenxuan Zhou, Bill Yuchen Lin, Xiang Ren

  14621-14629

  2021-05-18

• Physics-Guided Foundation Model for Scientific Discovery: An Application to Aquatic Science

  Runlong Yu, Chonghao Qiu, Robert Ladwig, Paul Hanson, Yiqun Xie, Xiaowei Jia

  28548-28556

  2025-04-11

• Learning from the Tangram to Solve Mini Visual Tasks

  Yizhou Zhao, Liang Qiu, Pan Lu, Feng Shi, Tian Han, Song-Chun Zhu

  3490-3498

  2022-06-28

• Deep Frequency Principle Towards Understanding Why Deeper Learning Is Faster

  Zhiqin John Xu, Hanxu Zhou

  10541-10550

  2021-05-18

• CLIP-CID: Efficient CLIP Distillation via Cluster-Instance Discrimination

  Kaicheng Yang, Tiancheng Gu, Xiang An, Haiqiang Jiang, Xiangzi Dai, Ziyong Feng, Weidong Cai, Jiankang Deng

  21974-21982

  2025-04-11

• Segatron: Segment-Aware Transformer for Language Modeling and Understanding

  He Bai, Peng Shi, Jimmy Lin, Yuqing Xie, Luchen Tan, Kun Xiong, Wen Gao, Ming Li

  12526-12534

  2021-05-18

• Knowledge-driven Data Construction for Zero-shot Evaluation in Commonsense Question Answering

  Kaixin Ma, Filip Ilievski, Jonathan Francis, Yonatan Bisk, Eric Nyberg, Alessandro Oltramari

  13507-13515

  2021-05-18

• Probing Preference Representations: A Multi-Dimensional Evaluation and Analysis Method for Reward Models

  Chenglong Wang, Yifu Huo, Yang Gan, Yongyu Mu, Qiaozhi He, Murun Yang, Bei Li, Chunliang Zhang, Tongran Liu, Anxiang Ma, Zhengtao Yu, Jingbo Zhu, Tong Xiao

  33404-33412

  2026-03-14

• Multi-Stream Representation Learning for Pedestrian Trajectory Prediction

  Yuxuan Wu, Le Wang, Sanping Zhou, Jinghai Duan, Gang Hua, Wei Tang

  2875-2882

  2023-06-26

• Contextual RNN-GANs for Abstract Reasoning Diagram Generation

  Viveka Kulharia, Arnab Ghosh, Amitabha Mukerjee, Vinay Namboodiri, Mohit Bansal

  2017-02-12

• Data-driven Precipitation Nowcasting Using Satellite Imagery

  Young-Jae Park, Doyi Kim, Minseok Seo, Hae-Gon Jeon, Yeji Choi

  28284-28292

  2025-04-11

• End-to-End Learning for Optimization via Constraint-Enforcing Approximators

  Rares Cristian, Pavithra Harsha, Georgia Perakis, Brian L Quanz, Ioannis Spantidakis

  7253-7260

  2023-06-26

• Causal-LLM: Towards Predictive and Interpretable Spatiotemporal Foundation Models

  Zhiqing Cui

  41483-41485

  2026-03-14

• DDG-DA: Data Distribution Generation for Predictable Concept Drift Adaptation

  Wendi Li, Xiao Yang, Weiqing Liu, Yingce Xia, Jiang Bian

  4092-4100

  2022-06-28

• SMART: A Surrogate Model for Predicting Application Runtime in Dragonfly Systems

  Xin Wang, Pietro Lodi Rizzini, Sourav Medya, Zhiling Lan

  26562-26569

  2026-03-14

• RESPOND: Realistic Environment Simulation of Population and Natural Disasters with LLM-Driven Agents

  Roman Sultimov, Mikhail Mozikov, Dmitrii Abramov, Mariia Kovalchuk, Maksim Malykh, Ilya Makarov, Andrei Osiptsov, Aleksandr Volkov, Yury Maximov

  41694-41696

  2026-03-14

• RESPOND: Realistic Environment Simulation of Population and Natural Disasters with LLM-Driven Agents (Student Abstract)

  Roman Sultimov, Mikhail Mozikov, Dmitrii Abramov, Mariia Kovalchuk, Maksim Malykh, Aleksandr Volkov, Ilya Makarov, Andrei Osiptsov, Yury Maximov

  41396-41397

  2026-03-14

• Predicting Opioid Overdose Crude Rates with Text-Based Twitter Features (Student Abstract)

  Nupoor Gandhi, Alex Morales, Sally Man-Pui Chan, Dolores Albarracin, ChengXiang Zhai

  13787-13788

  2020-04-03