Papers
Cautious Regret Minimization: Online Optimization with Long-Term Budget Constraints
Nikolaos Liakopoulos, Apostolos Destounis, Georgios Paschos et al.
Alternating Minimizations Converge to Second-Order Optimal Solutions
Qiuwei Li, Zhihui Zhu, Gongguo Tang
Learn to Grow: A Continual Structure Learning Framework for Overcoming Catastrophic Forgetting
Xilai Li, Yingbo Zhou, Tianfu Wu et al.
Feature-Critic Networks for Heterogeneous Domain Generalization
Yiying Li, Yongxin Yang, Wei Zhou et al.
Towards a Unified Analysis of Random Fourier Features
Zhu Li, Jean-Francois Ton, Dino Oglic et al.
Adversarial camera stickers: A physical camera-based attack on deep learning systems
Juncheng Li, Frank Schmidt, Zico Kolter
Exploiting Worker Correlation for Label Aggregation in Crowdsourcing
Yuan Li, Benjamin Rubinstein, Trevor Cohn
Bayesian Joint Spike-and-Slab Graphical Lasso
Zehang Li, Tyler Mccormick, Samuel Clark
NATTACK: Learning the Distributions of Adversarial Examples for an Improved Black-Box Attack on Deep Neural Networks
Yandong Li, Lijun Li, Liqiang Wang et al.
Online Learning to Rank with Features
Shuai Li, Tor Lattimore, Csaba Szepesvari
Area Attention
Yang Li, Lukasz Kaiser, Samy Bengio et al.
Graph Matching Networks for Learning the Similarity of Graph Structured Objects
Yujia Li, Chenjie Gu, Thomas Dullien et al.
LGM-Net: Learning to Generate Matching Networks for Few-Shot Learning
Huaiyu Li, Weiming Dong, Xing Mei et al.
Sublinear quantum algorithms for training linear and kernel-based classifiers
Tongyang Li, Shouvanik Chakrabarti, Xiaodi Wu
Are Generative Classifiers More Robust to Adversarial Attacks?
Yingzhen Li, John Bradshaw, Yash Sharma
Cheap Orthogonal Constraints in Neural Networks: A Simple Parametrization of the Orthogonal and Unitary Group
Mario Lezcano-Casado, David Martı́nez-Rubio
MONK Outlier-Robust Mean Embedding Estimation by Median-of-Means
Matthieu Lerasle, Zoltan Szabo, Timothée Mathieu et al.
Sublinear Time Nearest Neighbor Search over Generalized Weighted Space
Yifan Lei, Qiang Huang, Mohan Kankanhalli et al.
Robust Inference via Generative Classifiers for Handling Noisy Labels
Kimin Lee, Sukmin Yun, Kibok Lee et al.
First-Order Algorithms Converge Faster than $O(1/k)$ on Convex Problems
Ching-Pei Lee, Stephen Wright
Set Transformer: A Framework for Attention-based Permutation-Invariant Neural Networks
Juho Lee, Yoonho Lee, Jungtaek Kim et al.
Self-Attention Graph Pooling
Junhyun Lee, Inyeop Lee, Jaewoo Kang
Functional Transparency for Structured Data: a Game-Theoretic Approach
Guang-He Lee, Wengong Jin, David Alvarez-Melis et al.
Target-Based Temporal-Difference Learning
Donghwan Lee, Niao He
Batch Policy Learning under Constraints
Hoang Le, Cameron Voloshin, Yisong Yue