Papers
Streaming Algorithms for High-Dimensional Robust Statistics
Ilias Diakonikolas, Daniel M. Kane, Ankit Pensia et al.
Streaming Algorithms for Support-Aware Histograms
Justin Chen, Piotr Indyk, Tal Wagner
Streaming Inference for Infinite Feature Models
Rylan Schaeffer, Yilun Du, Gabrielle K Liu et al.
StreamingQA: A Benchmark for Adaptation to New Knowledge over Time in Question Answering Models
Adam Liska, Tomas Kocisky, Elena Gribovskaya et al.
Structural Entropy Guided Graph Hierarchical Pooling
Junran Wu, Xueyuan Chen, Ke Xu et al.
Structure-Aware Transformer for Graph Representation Learning
Dexiong Chen, Leslie O’Bray, Karsten Borgwardt
Structured Stochastic Gradient MCMC
Antonios Alexos, Alex J Boyd, Stephan Mandt
Structure-preserving GANs
Jeremiah Birrell, Markos Katsoulakis, Luc Rey-Bellet et al.
Structure Preserving Neural Networks: A Case Study in the Entropy Closure of the Boltzmann Equation
Steffen Schotthöfer, Tianbai Xiao, Martin Frank et al.
Style Equalization: Unsupervised Learning of Controllable Generative Sequence Models
Jen-Hao Rick Chang, Ashish Shrivastava, Hema Koppula et al.
Sublinear-Time Clustering Oracle for Signed Graphs
Stefan Neumann, Pan Peng
Subspace Learning for Effective Meta-Learning
Weisen Jiang, James Kwok, Yu Zhang
Supervised Learning with General Risk Functionals
Liu Leqi, Audrey Huang, Zachary Lipton et al.
Supervised Off-Policy Ranking
Yue Jin, Yue Zhang, Tao Qin et al.
Surrogate Likelihoods for Variational Annealed Importance Sampling
Martin Jankowiak, Du Phan
Symmetric Machine Theory of Mind
Melanie Sclar, Graham Neubig, Yonatan Bisk
Synergy and Symmetry in Deep Learning: Interactions between the Data, Model, and Inference Algorithm
Lechao Xiao, Jeffrey Pennington
Tackling covariate shift with node-based Bayesian neural networks
Trung Q Trinh, Markus Heinonen, Luigi Acerbi et al.
Tackling Data Heterogeneity: A New Unified Framework for Decentralized SGD with Sample-induced Topology
Yan Huang, Ying Sun, Zehan Zhu et al.
TACTiS: Transformer-Attentional Copulas for Time Series
Alexandre Drouin, Étienne Marcotte, Nicolas Chapados
TAM: Topology-Aware Margin Loss for Class-Imbalanced Node Classification
Jaeyun Song, Joonhyung Park, Eunho Yang
Task-aware Privacy Preservation for Multi-dimensional Data
Jiangnan Cheng, Ao Tang, Sandeep Chinchali
Tell me why! Explanations support learning relational and causal structure
Andrew K Lampinen, Nicholas Roy, Ishita Dasgupta et al.
Temporal Difference Learning for Model Predictive Control
Nicklas A Hansen, Hao Su, Xiaolong Wang
Test-Time Training Can Close the Natural Distribution Shift Performance Gap in Deep Learning Based Compressed Sensing
Mohammad Zalbagi Darestani, Jiayu Liu, Reinhard Heckel