Papers
Implicit Distributional Reinforcement Learning
Yuguang Yue, Zhendong Wang, Mingyuan Zhou
Implicit Graph Neural Networks
Fangda Gu, Heng Chang, Wenwu Zhu et al.
Implicit Neural Representations with Periodic Activation Functions
Vincent Sitzmann, Julien Martel, Alexander Bergman et al.
Implicit Rank-Minimizing Autoencoder
Li Jing, Jure Zbontar, yann lecun
Implicit Regularization and Convergence for Weight Normalization
Xiaoxia Wu, Edgar Dobriban, Tongzheng Ren et al.
Implicit Regularization in Deep Learning May Not Be Explainable by Norms
Noam Razin, Nadav Cohen
Impossibility Results for Grammar-Compressed Linear Algebra
Amir Abboud, Arturs Backurs, Karl Bringmann et al.
Improved Algorithms for Convex-Concave Minimax Optimization
Yuanhao Wang, Jian Li
Improved Algorithms for Online Submodular Maximization via First-order Regret Bounds
Nicholas Harvey, Christopher Liaw, Tasuku Soma
Improved Analysis of Clipping Algorithms for Non-convex Optimization
Bohang Zhang, Jikai Jin, Cong Fang et al.
Improved guarantees and a multiple-descent curve for Column Subset Selection and the Nystrom method
Michal Derezinski, Rajiv Khanna, Michael W. Mahoney
Improved Guarantees for k-means++ and k-means++ Parallel
Konstantin Makarychev, Aravind Reddy, Liren Shan
Improved Sample Complexity for Incremental Autonomous Exploration in MDPs
Jean Tarbouriech, Matteo Pirotta, Michal Valko et al.
Improved Schemes for Episodic Memory-based Lifelong Learning
Yunhui Guo, Mingrui Liu, Tianbao Yang et al.
Improved Techniques for Training Score-Based Generative Models
Yang Song, Stefano Ermon
Improving Auto-Augment via Augmentation-Wise Weight Sharing
Keyu Tian, Chen Lin, Ming Sun et al.
Improving GAN Training with Probability Ratio Clipping and Sample Reweighting
Yue Wu, Pan Zhou, Andrew G Wilson et al.
Improving Generalization in Reinforcement Learning with Mixture Regularization
KAIXIN WANG, Bingyi Kang, Jie Shao et al.
Improving Inference for Neural Image Compression
Yibo Yang, Robert Bamler, Stephan Mandt
Improving Local Identifiability in Probabilistic Box Embeddings
Shib Dasgupta, Michael Boratko, Dongxu Zhang et al.
Improving model calibration with accuracy versus uncertainty optimization
Ranganath Krishnan, Omesh Tickoo
Improving Natural Language Processing Tasks with Human Gaze-Guided Neural Attention
Ekta Sood, Simon Tannert, Philipp Mueller et al.
Improving Neural Network Training in Low Dimensional Random Bases
Frithjof Gressmann, Zach Eaton-Rosen, Carlo Luschi