Papers
11,955 papers found
ResAct: Reinforcing Long-term Engagement in Sequential Recommendation with Residual Actor
Wanqi Xue, Qingpeng Cai, Ruohan Zhan et al.
Response Length Perception and Sequence Scheduling: An LLM-Empowered LLM Inference Pipeline
Zangwei Zheng, Xiaozhe Ren, Fuzhao Xue et al.
Restricted Strong Convexity of Deep Learning Models with Smooth Activations
Arindam Banerjee, Pedro Cisneros-Velarde, Libin Zhu et al.
Rethinking Graph Lottery Tickets: Graph Sparsity Matters
Bo Hui, Da Yan, Xiaolong Ma et al.
Rethinking Self-Supervised Visual Representation Learning in Pre-training for 3D Human Pose and Shape Estimation
Hongsuk Choi, Hyeongjin Nam, Taeryung Lee et al.
Rethinking skip connection model as a learnable Markov chain
Dengsheng Chen, Jie Hu, Wenwen Qiang et al.
Rethinking Symbolic Regression: Morphology and Adaptability in the Context of Evolutionary Algorithms
Kei Sen Fong, Shelvia Wongso, Mehul Motani
Rethinking the Effect of Data Augmentation in Adversarial Contrastive Learning
Rundong Luo, Yifei Wang, Yisen Wang
Rethinking the Expressive Power of GNNs via Graph Biconnectivity
Bohang Zhang, Shengjie Luo, Liwei Wang et al.
Retrieval-based Controllable Molecule Generation
Zichao Wang, Weili Nie, Zhuoran Qiao et al.
Reversible Column Networks
Yuxuan Cai, Yizhuang Zhou, Qi Han et al.
Revisit Finetuning strategy for Few-Shot Learning to Transfer the Emdeddings
Heng Wang, Tan Yue, Xiang Ye et al.
Revisiting adapters with adversarial training
Sylvestre-Alvise Rebuffi, Francesco Croce, Sven Gowal
Revisiting Graph Adversarial Attack and Defense From a Data Distribution Perspective
Kuan Li, Yang Liu, Xiang Ao et al.
Revisiting Intrinsic Reward for Exploration in Procedurally Generated Environments
Kaixin Wang, Kuangqi Zhou, Bingyi Kang et al.
Revisiting Populations in multi-agent Communication
Paul Michel, Mathieu Rita, Kory Wallace Mathewson et al.
REVISITING PRUNING AT INITIALIZATION THROUGH THE LENS OF RAMANUJAN GRAPH
Duc N.M Hoang, Shiwei Liu, Radu Marculescu et al.
Revisiting Robustness in Graph Machine Learning
Lukas Gosch, Daniel Sturm, Simon Geisler et al.
Revisiting the Assumption of Latent Separability for Backdoor Defenses
Xiangyu Qi, Tinghao Xie, Yiming Li et al.
Revisiting the Entropy Semiring for Neural Speech Recognition
Oscar Chang, Dongseong Hwang, Olivier Siohan
Revocable Deep Reinforcement Learning with Affinity Regularization for Outlier-Robust Graph Matching
Chang Liu, Zetian Jiang, Runzhong Wang et al.
Reward Design with Language Models
Minae Kwon, Sang Michael Xie, Kalesha Bullard et al.
Re-weighting Based Group Fairness Regularization via Classwise Robust Optimization
Sangwon Jung, Taeeon Park, Sanghyuk Chun et al.
RGI: robust GAN-inversion for mask-free image inpainting and unsupervised pixel-wise anomaly detection
Shancong Mou, Xiaoyi Gu, Meng Cao et al.