Papers
8,340 papers found
SeedGNN: Graph Neural Network for Supervised Seeded Graph Matching
Liren Yu, Jiaming Xu, Xiaojun Lin
SEGA: Structural Entropy Guided Anchor View for Graph Contrastive Learning
Junran Wu, Xueyuan Chen, Bowen Shi et al.
SegCLIP: Patch Aggregation with Learnable Centers for Open-Vocabulary Semantic Segmentation
Huaishao Luo, Junwei Bao, Youzheng Wu et al.
Self-Attention Amortized Distributional Projection Optimization for Sliced Wasserstein Point-Cloud Reconstruction
Khai Nguyen, Dang Nguyen, Nhat Ho
Self-Interpretable Time Series Prediction with Counterfactual Explanations
Jingquan Yan, Hao Wang
Self-Repellent Random Walks on General Graphs - Achieving Minimal Sampling Variance via Nonlinear Markov Chains
Vishwaraj Doshi, Jie Hu, Do Young Eun
Self-supervised learning of Split Invariant Equivariant representations
Quentin Garrido, Laurent Najman, Yann Lecun
Self-supervised Neural Factor Analysis for Disentangling Utterance-level Speech Representations
Weiwei Lin, Chenhang He, Man-Wai Mak et al.
SeMAIL: Eliminating Distractors in Visual Imitation via Separated Models
Shenghua Wan, Yucen Wang, Minghao Shao et al.
Semi-Autoregressive Energy Flows: Exploring Likelihood-Free Training of Normalizing Flows
Phillip Si, Zeyi Chen, Subham Sekhar Sahoo et al.
Semi Bandit dynamics in Congestion Games: Convergence to Nash Equilibrium and No-Regret Guarantees.
Ioannis Panageas, Stratis Skoulakis, Luca Viano et al.
Semi-Dual Unbalanced Quadratic Optimal Transport: fast statistical rates and convergent algorithm.
Adrien Vacher, François-Xavier Vialard
Semi-Offline Reinforcement Learning for Optimized Text Generation
Changyu Chen, Xiting Wang, Yiqiao Jin et al.
Semiparametrically Efficient Off-Policy Evaluation in Linear Markov Decision Processes
Chuhan Xie, Wenhao Yang, Zhihua Zhang
Semi-Parametric Contextual Pricing Algorithm using Cox Proportional Hazards Model
Young-Geun Choi, Gi-Soo Kim, Yunseo Choi et al.
Semi-Supervised Offline Reinforcement Learning with Action-Free Trajectories
Qinqing Zheng, Mikael Henaff, Brandon Amos et al.
SemSup-XC: Semantic Supervision for Zero and Few-shot Extreme Classification
Pranjal Aggarwal, Ameet Deshpande, Karthik R Narasimhan
Sequence Modeling with Multiresolution Convolutional Memory
Jiaxin Shi, Ke Alexander Wang, Emily Fox
Sequential Changepoint Detection via Backward Confidence Sequences
Shubhanshu Shekhar, Aaditya Ramdas
Sequential Counterfactual Risk Minimization
Houssam Zenati, Eustache Diemert, Matthieu Martin et al.
Sequential Kernelized Independence Testing
Aleksandr Podkopaev, Patrick Blöbaum, Shiva Kasiviswanathan et al.
Sequential Monte Carlo Learning for Time Series Structure Discovery
Feras Saad, Brian Patton, Matthew Douglas Hoffman et al.
Sequential Multi-Dimensional Self-Supervised Learning for Clinical Time Series
Aniruddh Raghu, Payal Chandak, Ridwan Alam et al.
Sequential Predictive Conformal Inference for Time Series
Chen Xu, Yao Xie
Sequential Strategic Screening
Lee Cohen, Saeed Sharifi -Malvajerdi, Kevin Stangl et al.