Papers
GAN Memory with No Forgetting
Yulai Cong, Miaoyun Zhao, Jianqiao Li et al.
Bongard-LOGO: A New Benchmark for Human-Level Concept Learning and Reasoning
Weili Nie, Zhiding Yu, Lei Mao et al.
Conditioning and Processing: Techniques to Improve Information-Theoretic Generalization Bounds
Hassan Hafez-Kolahi, Zeinab Golgooni, Shohreh Kasaei et al.
Latent Dynamic Factor Analysis of High-Dimensional Neural Recordings
Heejong Bong, Zongge Liu, Zhao Ren et al.
Estimating the Effects of Continuous-valued Interventions using Generative Adversarial Networks
Ioana Bica, James Jordon, Mihaela van der Schaar
Path Integral Based Convolution and Pooling for Graph Neural Networks
Zheng Ma, Junyu Xuan, Yu Guang Wang et al.
Greedy Optimization Provably Wins the Lottery: Logarithmic Number of Winning Tickets is Enough
Mao Ye, Lemeng Wu, Qiang Liu
A meta-learning approach to (re)discover plasticity rules that carve a desired function into a neural network
Basile Confavreux, Friedemann Zenke, Everton Agnes et al.
SoftFlow: Probabilistic Framework for Normalizing Flow on Manifolds
Hyeongju Kim, Hyeonseung Lee, Woo Hyun Kang et al.
Robustness Analysis of Non-Convex Stochastic Gradient Descent using Biased Expectations
Kevin Scaman, Cedric Malherbe
Bayesian Attention Modules
Xinjie Fan, Shujian Zhang, Bo Chen et al.
DeepSVG: A Hierarchical Generative Network for Vector Graphics Animation
Alexandre Carlier, Martin Danelljan, Alexandre Alahi et al.
Cross-validation Confidence Intervals for Test Error
Pierre Bayle, Alexandre Bayle, Lucas Janson et al.
On Learning Ising Models under Huber's Contamination Model
Adarsh Prasad, Vishwak Srinivasan, Sivaraman Balakrishnan et al.
Constrained episodic reinforcement learning in concave-convex and knapsack settings
Kianté Brantley, Miro Dudik, Thodoris Lykouris et al.
Stochastic Normalization
Zhi Kou, Kaichao You, Mingsheng Long et al.
Patch2Self: Denoising Diffusion MRI with Self-Supervised Learning
Shreyas Fadnavis, Joshua Batson, Eleftherios Garyfallidis
Universal Domain Adaptation through Self Supervision
Kuniaki Saito, Donghyun Kim, Stan Sclaroff et al.
Sub-linear Regret Bounds for Bayesian Optimisation in Unknown Search Spaces
Hung Tran-The, Sunil Gupta, Santu Rana et al.
When Counterpoint Meets Chinese Folk Melodies
Nan Jiang, Sheng Jin, Zhiyao Duan et al.
Variational Amodal Object Completion
Huan Ling, David Acuna, Karsten Kreis et al.
Fast and Accurate k-means++ via Rejection Sampling
Vincent Cohen-Addad, Silvio Lattanzi, Ashkan Norouzi-Fard et al.
Explore Aggressively, Update Conservatively: Stochastic Extragradient Methods with Variable Stepsize Scaling
Yu-Guan Hsieh, Franck Iutzeler, Jérôme Malick et al.
Random Walk Graph Neural Networks
Giannis Nikolentzos, Michalis Vazirgiannis
Robust Pre-Training by Adversarial Contrastive Learning
Ziyu Jiang, Tianlong Chen, Ting Chen et al.