Papers
Input-Output Equivalence of Unitary and Contractive RNNs
Melikasadat Emami, Mojtaba Sahraee Ardakan, Sundeep Rangan et al.
Input Similarity from the Neural Network Perspective
Guillaume Charpiat, Nicolas Girard, Loris Felardos et al.
Integer Discrete Flows and Lossless Compression
Emiel Hoogeboom, Jorn Peters, Rianne van den Berg et al.
Integrating Markov processes with structural causal modeling enables counterfactual inference in complex systems
Robert Ness, Kaushal Paneri, Olga Vitek
Interaction Hard Thresholding: Consistent Sparse Quadratic Regression in Sub-quadratic Time and Space
Shuo Yang, Yanyao Shen, Sujay Sanghavi
Interior-Point Methods Strike Back: Solving the Wasserstein Barycenter Problem
DongDong Ge, Haoyue Wang, Zikai Xiong et al.
Interval timing in deep reinforcement learning agents
Ben Deverett, Ryan Faulkner, Meire Fortunato et al.
Intrinsically Efficient, Stable, and Bounded Off-Policy Evaluation for Reinforcement Learning
Nathan Kallus, Masatoshi Uehara
Intrinsic dimension of data representations in deep neural networks
Alessio Ansuini, Alessandro Laio, Jakob H Macke et al.
Invariance and identifiability issues for word embeddings
Rachel Carrington, Karthik Bharath, Simon Preston
Invariance-inducing regularization using worst-case transformations suffices to boost accuracy and spatial robustness
Fanny Yang, Zuowen Wang, Christina Heinze-Deml
Invertible Convolutional Flow
Mahdi Karami, Dale Schuurmans, Jascha Sohl-Dickstein et al.
Inverting Deep Generative models, One layer at a time
Qi Lei, Ajil Jalal, Inderjit S Dhillon et al.
Invert to Learn to Invert
Patrick Putzky, Max Welling
Is Deeper Better only when Shallow is Good?
Eran Malach, Shai Shalev-Shwartz
iSplit LBI: Individualized Partial Ranking with Ties via Split LBI
Qianqian Xu, Xinwei Sun, Zhiyong Yang et al.
Iterative Least Trimmed Squares for Mixed Linear Regression
Yanyao Shen, Sujay Sanghavi
Joint Optimization of Tree-based Index and Deep Model for Recommender Systems
Han Zhu, Daqing Chang, Ziru Xu et al.
Joint-task Self-supervised Learning for Temporal Correspondence
Xueting Li, Sifei Liu, Shalini De Mello et al.
Kalman Filter, Sensor Fusion, and Constrained Regression: Equivalences and Insights
Maria Jahja, David Farrow, Roni Rosenfeld et al.
Keeping Your Distance: Solving Sparse Reward Tasks Using Self-Balancing Shaped Rewards
Alexander Trott, Stephan Zheng, Caiming Xiong et al.
KerGM: Kernelized Graph Matching
Zhen Zhang, Yijian Xiang, Lingfei Wu et al.