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• A Provably Accurate Randomized Sampling Algorithm for Logistic Regression

  Agniva Chowdhury, Pradeep Ramuhalli

  11597-11605

  2024-03-24

• Graph-Based Prediction and Planning Policy Network (GP3Net) for Scalable Self-Driving in Dynamic Environments Using Deep Reinforcement Learning

  Jayabrata Chowdhury, Venkataramanan Shivaraman, Suresh Sundaram, PB Sujit

  11606-11614

  2024-03-24

• Lyapunov-Stable Deep Equilibrium Models

  Haoyu Chu, Shikui Wei, Ting Liu, Yao Zhao, Yuto Miyatake

  11615-11623

  2024-03-24

• Make RepVGG Greater Again: A Quantization-Aware Approach

  Xiangxiang Chu, Liang Li, Bo Zhang

  11624-11632

  2024-03-24

• Meta-Reinforcement Learning via Exploratory Task Clustering

  Zhendong Chu, Renqin Cai, Hongning Wang

  11633-11641

  2024-03-24

• Task-Driven Causal Feature Distillation: Towards Trustworthy Risk Prediction

  Zhixuan Chu, Mengxuan Hu, Qing Cui, Longfei Li, Sheng Li

  11642-11650

  2024-03-24

• Resource Efficient Deep Learning Hardware Watermarks with Signature Alignment

  Joseph Clements, Yingjie Lao

  11651-11659

  2024-03-24

• RLfOLD: Reinforcement Learning from Online Demonstrations in Urban Autonomous Driving

  Daniel Coelho, Miguel Oliveira, Vitor Santos

  11660-11668

  2024-03-24

• Big Learning Expectation Maximization

  Yulai Cong, Sijia Li

  11669-11677

  2024-03-24

• Time-Aware Knowledge Representations of Dynamic Objects with Multidimensional Persistence

  Baris Coskunuzer, Ignacio Segovia-Dominguez, Yuzhou Chen, Yulia R. Gel

  11678-11686

  2024-03-24

• BadRL: Sparse Targeted Backdoor Attack against Reinforcement Learning

  Jing Cui, Yufei Han, Yuzhe Ma, Jianbin Jiao, Junge Zhang

  11687-11694

  2024-03-24

• Deletion-Robust Submodular Maximization with Knapsack Constraints

  Shuang Cui, Kai Han, He Huang

  11695-11703

  2024-03-24

• Continual Vision-Language Retrieval via Dynamic Knowledge Rectification

  Zhenyu Cui, Yuxin Peng, Xun Wang, Manyu Zhu, Jiahuan Zhou

  11704-11712

  2024-03-24

• Inverse Weight-Balancing for Deep Long-Tailed Learning

  Wenqi Dang, Zhou Yang, Weisheng Dong, Xin Li, Guangming Shi

  11713-11721

  2024-03-24

• Learn the Force We Can: Enabling Sparse Motion Control in Multi-Object Video Generation

  Aram Davtyan, Paolo Favaro

  11722-11730

  2024-03-24

• Iterative Regularization with k-support Norm: An Important Complement to Sparse Recovery

  William de Vazelhes, Bhaskar Mukhoty, Xiao-Tong Yuan, Bin Gu

  11731-11739

  2024-03-24

• SEA-GWNN: Simple and Effective Adaptive Graph Wavelet Neural Network

  Swakshar Deb, Sejuti Rahman, Shafin Rahman

  11740-11748

  2024-03-24

• Self-Interpretable Graph Learning with Sufficient and Necessary Explanations

  Jiale Deng, Yanyan Shen

  11749-11756

  2024-03-24

• Semi-supervised TEE Segmentation via Interacting with SAM Equipped with Noise-Resilient Prompting

  Sen Deng, Yidan Feng, Haoneng Lin, Yiting Fan, Alex Pui-Wai Lee, Xiaowei Hu, Jing Qin

  11757-11765

  2024-03-24

• Peer Learning: Learning Complex Policies in Groups from Scratch via Action Recommendations

  Cedric Derstroff, Mattia Cerrato, Jannis Brugger, Jan Peters, Stefan Kramer

  11766-11774

  2024-03-24

• Conformal Autoregressive Generation: Beam Search with Coverage Guarantees

  Nicolas Deutschmann, Marvin Alberts, María Rodríguez Martínez

  11775-11783

  2024-03-24

• Exploiting Label Skews in Federated Learning with Model Concatenation

  Yiqun Diao, Qinbin Li, Bingsheng He

  11784-11792

  2024-03-24

• Multi-View Randomized Kernel Classification via Nonconvex Optimization

  Xiaojian Ding, Fan Yang

  11793-11801

  2024-03-24

• Turning Waste into Wealth: Leveraging Low-Quality Samples for Enhancing Continuous Conditional Generative Adversarial Networks

  Xin Ding, Yongwei Wang, Zuheng Xu

  11802-11810

  2024-03-24

• Shrinking Your TimeStep: Towards Low-Latency Neuromorphic Object Recognition with Spiking Neural Networks

  Yongqi Ding, Lin Zuo, Mengmeng Jing, Pei He, Yongjun Xiao

  11811-11819

  2024-03-24