Papers
Self-Attention Between Datapoints: Going Beyond Individual Input-Output Pairs in Deep Learning
Jannik Kossen, Neil Band, Clare Lyle et al.
Self-Consistent Models and Values
Greg Farquhar, Kate Baumli, Zita Marinho et al.
Self-Diagnosing GAN: Diagnosing Underrepresented Samples in Generative Adversarial Networks
Jinhee Lee, Haeri Kim, Youngkyu Hong et al.
Self-Instantiated Recurrent Units with Dynamic Soft Recursion
Aston Zhang, Yi Tay, Yikang Shen et al.
Self-Interpretable Model with Transformation Equivariant Interpretation
Yipei Wang, Xiaoqian Wang
Self-Paced Contrastive Learning for Semi-supervised Medical Image Segmentation with Meta-labels
Jizong Peng, Ping Wang, Christian Desrosiers et al.
Self-Supervised Bug Detection and Repair
Miltiadis Allamanis, Henry Jackson-Flux, Marc Brockschmidt
Self-Supervised GANs with Label Augmentation
Liang Hou, Huawei Shen, Qi Cao et al.
Self-Supervised Learning Disentangled Group Representation as Feature
Tan Wang, Zhongqi Yue, Jianqiang Huang et al.
Self-Supervised Learning of Event-Based Optical Flow with Spiking Neural Networks
Jesse Hagenaars, Federico Paredes-Valles, Guido de Croon
Self-Supervised Learning with Data Augmentations Provably Isolates Content from Style
Julius von Kügelgen, Yash Sharma, Luigi Gresele et al.
Self-Supervised Learning with Kernel Dependence Maximization
Yazhe Li, Roman Pogodin, Danica J. Sutherland et al.
Self-Supervised Multi-Object Tracking with Cross-input Consistency
Favyen Bastani, Songtao He, Samuel Madden
Self-Supervised Representation Learning on Neural Network Weights for Model Characteristic Prediction
Konstantin Schürholt, Dimche Kostadinov, Damian Borth
Semialgebraic Representation of Monotone Deep Equilibrium Models and Applications to Certification
Tong Chen, Jean B Lasserre, Victor Magron et al.
Semi-Supervised Semantic Segmentation via Adaptive Equalization Learning
Hanzhe Hu, Fangyun Wei, Han Hu et al.
Separation Results between Fixed-Kernel and Feature-Learning Probability Metrics
Carles Domingo i Enrich, Youssef Mroueh
Sequential Algorithms for Testing Closeness of Distributions
Aadil Oufkir, Omar Fawzi, Nicolas Flammarion et al.
Sequential Causal Imitation Learning with Unobserved Confounders
Daniel Kumor, Junzhe Zhang, Elias Bareinboim
Set Prediction in the Latent Space
Konpat Preechakul, Chawan Piansaddhayanon, Burin Naowarat et al.
Settling the Variance of Multi-Agent Policy Gradients
Jakub Grudzien Kuba, Muning Wen, Linghui Meng et al.
SGD: The Role of Implicit Regularization, Batch-size and Multiple-epochs
Ayush Sekhari, Karthik Sridharan, Satyen Kale
Shape As Points: A Differentiable Poisson Solver
Songyou Peng, Chiyu Jiang, Yiyi Liao et al.
Shape from Blur: Recovering Textured 3D Shape and Motion of Fast Moving Objects
Denys Rozumnyi, Martin R. Oswald, Vittorio Ferrari et al.