Papers
Implicit Posterior Variational Inference for Deep Gaussian Processes
Haibin YU, Yizhou Chen, Bryan Kian Hsiang Low et al.
Implicit Regularization for Optimal Sparse Recovery
Tomas Vaskevicius, Varun Kanade, Patrick Rebeschini
Implicit Regularization in Deep Matrix Factorization
Sanjeev Arora, Nadav Cohen, Wei Hu et al.
Implicit Regularization of Accelerated Methods in Hilbert Spaces
Nicolò Pagliana, Lorenzo Rosasco
Implicit Regularization of Discrete Gradient Dynamics in Linear Neural Networks
Gauthier Gidel, Francis Bach, Simon Lacoste-Julien
Implicit Semantic Data Augmentation for Deep Networks
Yulin Wang, Xuran Pan, Shiji Song et al.
Importance Resampling for Off-policy Prediction
Matthew Schlegel, Wesley Chung, Daniel Graves et al.
Importance Weighted Hierarchical Variational Inference
Artem Sobolev, Dmitry P Vetrov
Improved Precision and Recall Metric for Assessing Generative Models
Tuomas Kynkäänniemi, Tero Karras, Samuli Laine et al.
Improved Regret Bounds for Bandit Combinatorial Optimization
Shinji Ito, Daisuke Hatano, Hanna Sumita et al.
Improving Black-box Adversarial Attacks with a Transfer-based Prior
Shuyu Cheng, Yinpeng Dong, Tianyu Pang et al.
Improving Textual Network Learning with Variational Homophilic Embeddings
Wenlin Wang, Chenyang Tao, Zhe Gan et al.
Incremental Few-Shot Learning with Attention Attractor Networks
Mengye Ren, Renjie Liao, Ethan Fetaya et al.
Incremental Scene Synthesis
Benjamin Planche, Xuejian Rong, Ziyan Wu et al.
Individual Regret in Cooperative Nonstochastic Multi-Armed Bandits
Yogev Bar-On, Yishay Mansour
Inducing brain-relevant bias in natural language processing models
Dan Schwartz, Mariya Toneva, Leila Wehbe
Information Competing Process for Learning Diversified Representations
Jie Hu, Rongrong Ji, ShengChuan Zhang et al.
Information-Theoretic Confidence Bounds for Reinforcement Learning
Xiuyuan Lu, Benjamin Van Roy
Information-Theoretic Generalization Bounds for SGLD via Data-Dependent Estimates
Jeffrey Negrea, Mahdi Haghifam, Gintare Karolina Dziugaite et al.
Infra-slow brain dynamics as a marker for cognitive function and decline
Shagun Ajmera, Shreya Rajagopal, Razi Rehman et al.
Inherent Tradeoffs in Learning Fair Representations
Han Zhao, Geoff Gordon
Inherent Weight Normalization in Stochastic Neural Networks
Georgios Detorakis, Sourav Dutta, Abhishek Khanna et al.
Initialization of ReLUs for Dynamical Isometry
Rebekka Burkholz, Alina Dubatovka
In-Place Zero-Space Memory Protection for CNN
Hui Guan, Lin Ning, Zhen Lin et al.
Input-Cell Attention Reduces Vanishing Saliency of Recurrent Neural Networks
Aya Abdelsalam Ismail, Mohamed Gunady, Luiz Pessoa et al.