Papers
Streaming Belief Propagation for Community Detection
Yuchen Wu, Jakab Tardos, Mohammadhossein Bateni et al.
Streaming Linear System Identification with Reverse Experience Replay
Suhas Kowshik, Dheeraj Nagaraj, Prateek Jain et al.
Stronger NAS with Weaker Predictors
Junru Wu, Xiyang Dai, Dongdong Chen et al.
Structural Credit Assignment in Neural Networks using Reinforcement Learning
Dhawal Gupta, Gabor Mihucz, Matthew Schlegel et al.
Structure-Aware Random Fourier Kernel for Graphs
Jinyuan Fang, Qiang Zhang, Zaiqiao Meng et al.
Structured Denoising Diffusion Models in Discrete State-Spaces
Jacob Austin, Daniel D. Johnson, Jonathan Ho et al.
Structured Dropout Variational Inference for Bayesian Neural Networks
Son Nguyen, Duong Nguyen, Khai Nguyen et al.
Structured in Space, Randomized in Time: Leveraging Dropout in RNNs for Efficient Training
Anup Sarma, Sonali Singh, Huaipan Jiang et al.
Structured Reordering for Modeling Latent Alignments in Sequence Transduction
bailin wang, Mirella Lapata, Ivan Titov
Structure learning in polynomial time: Greedy algorithms, Bregman information, and exponential families
Goutham Rajendran, Bohdan Kivva, Ming Gao et al.
Stylized Dialogue Generation with Multi-Pass Dual Learning
Jinpeng Li, Yingce Xia, Rui Yan et al.
Subgame solving without common knowledge
Brian Zhang, Tuomas Sandholm
Subgaussian and Differentiable Importance Sampling for Off-Policy Evaluation and Learning
Alberto Maria Metelli, Alessio Russo, Marcello Restelli
Subgoal Search For Complex Reasoning Tasks
Konrad Czechowski, Tomasz Odrzygóźdź, Marek Zbysiński et al.
Subgraph Federated Learning with Missing Neighbor Generation
Ke ZHANG, Carl Yang, Xiaoxiao Li et al.
Subgroup Generalization and Fairness of Graph Neural Networks
Jiaqi Ma, Junwei Deng, Qiaozhu Mei
Sub-Linear Memory: How to Make Performers SLiM
Valerii Likhosherstov, Krzysztof M Choromanski, Jared Quincy Davis et al.
Submodular + Concave
Siddharth Mitra, Moran Feldman, Amin Karbasi
Subquadratic Overparameterization for Shallow Neural Networks
ChaeHwan Song, Ali Ramezani-Kebrya, Thomas Pethick et al.
SubTab: Subsetting Features of Tabular Data for Self-Supervised Representation Learning
Talip Ucar, Ehsan Hajiramezanali, Lindsay Edwards
Successor Feature Landmarks for Long-Horizon Goal-Conditioned Reinforcement Learning
Christopher Hoang, Sungryull Sohn, Jongwook Choi et al.
SUPER-ADAM: Faster and Universal Framework of Adaptive Gradients
Feihu Huang, Junyi Li, Heng Huang
Supercharging Imbalanced Data Learning With Energy-based Contrastive Representation Transfer
Junya Chen, Zidi Xiu, Benjamin Goldstein et al.
Supervising the Transfer of Reasoning Patterns in VQA
Corentin Kervadec, Christian Wolf, Grigory Antipov et al.
Support Recovery of Sparse Signals from a Mixture of Linear Measurements
Soumyabrata Pal, Arya Mazumdar, Venkata Gandikota