Papers
Interferobot: aligning an optical interferometer by a reinforcement learning agent
Dmitry Sorokin, Alexander Ulanov, Ekaterina Sazhina et al.
Interior Point Solving for LP-based prediction+optimisation
Jayanta Mandi, Tias Guns
Interpolation Technique to Speed Up Gradients Propagation in Neural ODEs
Talgat Daulbaev, Alexandr Katrutsa, Larisa Markeeva et al.
Interpretable and Personalized Apprenticeship Scheduling: Learning Interpretable Scheduling Policies from Heterogeneous User Demonstrations
Rohan Paleja, Andrew Silva, Letian Chen et al.
Interpretable multi-timescale models for predicting fMRI responses to continuous natural speech
Shailee Jain, Vy Vo, Shivangi Mahto et al.
Interpretable Sequence Learning for Covid-19 Forecasting
Sercan Arik, Chun-Liang Li, Jinsung Yoon et al.
Interstellar: Searching Recurrent Architecture for Knowledge Graph Embedding
Yongqi Zhang, Quanming Yao, Lei Chen
Interventional Few-Shot Learning
Zhongqi Yue, Hanwang Zhang, Qianru Sun et al.
Intra Order-preserving Functions for Calibration of Multi-Class Neural Networks
Amir Rahimi, Amirreza Shaban, Ching-An Cheng et al.
Intra-Processing Methods for Debiasing Neural Networks
Yash Savani, Colin White, Naveen Sundar Govindarajulu
Introducing Routing Uncertainty in Capsule Networks
Fabio De Sousa Ribeiro, Georgios Leontidis, Stefanos Kollias
Inverse Learning of Symmetries
Mario Wieser, Sonali Parbhoo, Aleksander Wieczorek et al.
Inverse Rational Control with Partially Observable Continuous Nonlinear Dynamics
Minhae Kwon, Saurabh Daptardar, Paul R. Schrater et al.
Inverse Reinforcement Learning from a Gradient-based Learner
Giorgia Ramponi, Gianluca Drappo, Marcello Restelli
Invertible Gaussian Reparameterization: Revisiting the Gumbel-Softmax
Andres Potapczynski, Gabriel Loaiza-Ganem, John P. Cunningham
Inverting Gradients - How easy is it to break privacy in federated learning?
Jonas Geiping, Hartmut Bauermeister, Hannah Dröge et al.
Investigating Gender Bias in Language Models Using Causal Mediation Analysis
Jesse Vig, Sebastian Gehrmann, Yonatan Belinkov et al.
Is Long Horizon RL More Difficult Than Short Horizon RL?
Ruosong Wang, Simon S Du, Lin Yang et al.
Is normalization indispensable for training deep neural network?
Jie Shao, Kai Hu, Changhu Wang et al.
Is Plug-in Solver Sample-Efficient for Feature-based Reinforcement Learning?
Qiwen Cui, Lin Yang
ISTA-NAS: Efficient and Consistent Neural Architecture Search by Sparse Coding
Yibo Yang, Hongyang Li, Shan You et al.
Iterative Deep Graph Learning for Graph Neural Networks: Better and Robust Node Embeddings
Yu Chen, Lingfei Wu, Mohammed Zaki
JAX MD: A Framework for Differentiable Physics
Samuel Schoenholz, Ekin Dogus Cubuk
Joint Contrastive Learning with Infinite Possibilities
Qi Cai, Yu Wang, Yingwei Pan et al.
Joint Policy Search for Multi-agent Collaboration with Imperfect Information
Yuandong Tian, Qucheng Gong, Yu Jiang