Papers
Size-Invariant Graph Representations for Graph Classification Extrapolations
Beatrice Bevilacqua, Yangze Zhou, Bruno Ribeiro
SketchEmbedNet: Learning Novel Concepts by Imitating Drawings
Alexander Wang, Mengye Ren, Richard Zemel
Skew Orthogonal Convolutions
Sahil Singla, Soheil Feizi
SKIing on Simplices: Kernel Interpolation on the Permutohedral Lattice for Scalable Gaussian Processes
Sanyam Kapoor, Marc Finzi, Ke Alexander Wang et al.
Skill Discovery for Exploration and Planning using Deep Skill Graphs
Akhil Bagaria, Jason K Senthil, George Konidaris
Sliced Iterative Normalizing Flows
Biwei Dai, Uros Seljak
Slot Machines: Discovering Winning Combinations of Random Weights in Neural Networks
Maxwell M Aladago, Lorenzo Torresani
SMG: A Shuffling Gradient-Based Method with Momentum
Trang H Tran, Lam M Nguyen, Quoc Tran-Dinh
Smooth $p$-Wasserstein Distance: Structure, Empirical Approximation, and Statistical Applications
Sloan Nietert, Ziv Goldfeld, Kengo Kato
Soft then Hard: Rethinking the Quantization in Neural Image Compression
Zongyu Guo, Zhizheng Zhang, Runsen Feng et al.
Solving Challenging Dexterous Manipulation Tasks With Trajectory Optimisation and Reinforcement Learning
Henry J Charlesworth, Giovanni Montana
Solving high-dimensional parabolic PDEs using the tensor train format
Lorenz Richter, Leon Sallandt, Nikolas Nüsken
Solving Inverse Problems with a Flow-based Noise Model
Jay Whang, Qi Lei, Alex Dimakis
SoundDet: Polyphonic Moving Sound Event Detection and Localization from Raw Waveform
Yuhang He, Niki Trigoni, Andrew Markham
SPADE: A Spectral Method for Black-Box Adversarial Robustness Evaluation
Wuxinlin Cheng, Chenhui Deng, Zhiqiang Zhao et al.
Sparse and Imperceptible Adversarial Attack via a Homotopy Algorithm
Mingkang Zhu, Tianlong Chen, Zhangyang Wang
Sparse Bayesian Learning via Stepwise Regression
Sebastian E. Ament, Carla P. Gomes
SparseBERT: Rethinking the Importance Analysis in Self-attention
Han Shi, Jiahui Gao, Xiaozhe Ren et al.
Sparse Feature Selection Makes Batch Reinforcement Learning More Sample Efficient
Botao Hao, Yaqi Duan, Tor Lattimore et al.
Sparse within Sparse Gaussian Processes using Neighbor Information
Gia-Lac Tran, Dimitrios Milios, Pietro Michiardi et al.
Sparsifying Networks via Subdifferential Inclusion
Sagar Verma, Jean-Christophe Pesquet
Sparsity-Agnostic Lasso Bandit
Min-Hwan Oh, Garud Iyengar, Assaf Zeevi
Spectral Normalisation for Deep Reinforcement Learning: An Optimisation Perspective
Florin Gogianu, Tudor Berariu, Mihaela C Rosca et al.
Spectral Smoothing Unveils Phase Transitions in Hierarchical Variational Autoencoders
Adeel Pervez, Efstratios Gavves
Spectral vertex sparsifiers and pair-wise spanners over distributed graphs
Chunjiang Zhu, Qinqing Liu, Jinbo Bi