Papers
Semantic Probabilistic Layers for Neuro-Symbolic Learning
Kareem Ahmed, Stefano Teso, Kai-Wei Chang et al.
Semantic uncertainty intervals for disentangled latent spaces
Swami Sankaranarayanan, Anastasios Angelopoulos, Stephen Bates et al.
Semi-Discrete Normalizing Flows through Differentiable Tessellation
Ricky T. Q. Chen, Brandon Amos, Maximilian Nickel
SemiFL: Semi-Supervised Federated Learning for Unlabeled Clients with Alternate Training
Enmao Diao, Jie Ding, Vahid Tarokh
Semi-infinitely Constrained Markov Decision Processes
Liangyu Zhang, Yang Peng, Wenhao Yang et al.
Semi-supervised Active Linear Regression
Nived Rajaraman, Fnu Devvrit, Pranjal Awasthi
Semi-Supervised Generative Models for Multiagent Trajectories
Dennis Fassmeyer, Pascal Fassmeyer, Ulf Brefeld
Semi-Supervised Learning with Decision Trees: Graph Laplacian Tree Alternating Optimization
Arman Zharmagambetov, Miguel A. Carreira-Perpinan
Semi-Supervised Semantic Segmentation via Gentle Teaching Assistant
Ying Jin, Jiaqi Wang, Dahua Lin
Semi-supervised Semantic Segmentation with Prototype-based Consistency Regularization
Haiming Xu, Lingqiao Liu, Qiuchen Bian et al.
Semi-Supervised Video Salient Object Detection Based on Uncertainty-Guided Pseudo Labels
Yongri Piao, Chenyang Lu, Miao Zhang et al.
Semi-supervised Vision Transformers at Scale
Zhaowei Cai, Avinash Ravichandran, Paolo Favaro et al.
SemMAE: Semantic-Guided Masking for Learning Masked Autoencoders
Gang Li, Heliang Zheng, Daqing Liu et al.
SeqPATE: Differentially Private Text Generation via Knowledge Distillation
Zhiliang Tian, Yingxiu Zhao, Ziyue Huang et al.
Sequence Model Imitation Learning with Unobserved Contexts
Gokul Swamy, Sanjiban Choudhury, J. A. Bagnell et al.
Sequencer: Deep LSTM for Image Classification
Yuki Tatsunami, Masato Taki
Sequence-to-Set Generative Models
Longtao Tang, Ying Zhou, Yu Yang
Sequential Information Design: Learning to Persuade in the Dark
Martino Bernasconi, Matteo Castiglioni, Alberto Marchesi et al.
Set-based Meta-Interpolation for Few-Task Meta-Learning
Seanie Lee, Bruno Andreis, Kenji Kawaguchi et al.
SGAM: Building a Virtual 3D World through Simultaneous Generation and Mapping
Yuan Shen, Wei-Chiu Ma, Shenlong Wang
Shape And Structure Preserving Differential Privacy
Carlos Soto, Karthik Bharath, Matthew Reimherr et al.
ShapeCrafter: A Recursive Text-Conditioned 3D Shape Generation Model
Rao Fu, Xiao Zhan, YIWEN CHEN et al.
Shape, Light, and Material Decomposition from Images using Monte Carlo Rendering and Denoising
Jon Hasselgren, Nikolai Hofmann, Jacob Munkberg
SHAQ: Incorporating Shapley Value Theory into Multi-Agent Q-Learning
Jianhong Wang, Yuan Zhang, Yunjie Gu et al.