Papers
Input uncertainty propagation through trained neural networks
Paul Monchot, Loic Coquelin, Sébastien Julien Petit et al.
In Search for a Generalizable Method for Source Free Domain Adaptation
Malik Boudiaf, Tom Denton, Bart Van Merrienboer et al.
In Search of Insights, Not Magic Bullets: Towards Demystification of the Model Selection Dilemma in Heterogeneous Treatment Effect Estimation
Alicia Curth, Mihaela Van Der Schaar
Instant Soup: Cheap Pruning Ensembles in A Single Pass Can Draw Lottery Tickets from Large Models
Ajay Kumar Jaiswal, Shiwei Liu, Tianlong Chen et al.
Instrumental Variable Estimation of Average Partial Causal Effects
Yuta Kawakami, Manabu Kuroki, Jin Tian
Integrating Prior Knowledge in Contrastive Learning with Kernel
Benoit Dufumier, Carlo Alberto Barbano, Robin Louiset et al.
Interactive Object Placement with Reinforcement Learning
Shengping Zhang, Quanling Meng, Qinglin Liu et al.
Internally Rewarded Reinforcement Learning
Mengdi Li, Xufeng Zhao, Jae Hee Lee et al.
Internet Explorer: Targeted Representation Learning on the Open Web
Alexander Cong Li, Ellis Langham Brown, Alexei A Efros et al.
Interpolation for Robust Learning: Data Augmentation on Wasserstein Geodesics
Jiacheng Zhu, Jielin Qiu, Aritra Guha et al.
Interpretable Neural-Symbolic Concept Reasoning
Pietro Barbiero, Gabriele Ciravegna, Francesco Giannini et al.
Interval Bound Interpolation for Few-shot Learning with Few Tasks
Shounak Datta, Sankha Subhra Mullick, Anish Chakrabarty et al.
Interventional Causal Representation Learning
Kartik Ahuja, Divyat Mahajan, Yixin Wang et al.
Intrinsic Sliced Wasserstein Distances for Comparing Collections of Probability Distributions on Manifolds and Graphs
Raif M. Rustamov, Subhabrata Majumdar
Invariance in Policy Optimisation and Partial Identifiability in Reward Learning
Joar Max Viktor Skalse, Matthew Farrugia-Roberts, Stuart Russell et al.
Invariant Slot Attention: Object Discovery with Slot-Centric Reference Frames
Ondrej Biza, Sjoerd Van Steenkiste, Mehdi S. M. Sajjadi et al.
Inverse Reinforcement Learning without Reinforcement Learning
Gokul Swamy, David Wu, Sanjiban Choudhury et al.
Investigating the Role of Model-Based Learning in Exploration and Transfer
Jacob C Walker, Eszter Vértes, Yazhe Li et al.
IRNeXt: Rethinking Convolutional Network Design for Image Restoration
Yuning Cui, Wenqi Ren, Sining Yang et al.
Is Consensus Acceleration Possible in Decentralized Optimization over Slowly Time-Varying Networks?
Dmitry Metelev, Alexander Rogozin, Dmitry Kovalev et al.
Is Learning Summary Statistics Necessary for Likelihood-free Inference?
Yanzhi Chen, Michael U. Gutmann, Adrian Weller
Is Overfitting Necessary for Implicit Video Representation?
Hee Min Choi, Hyoa Kang, Dokwan Oh
Iterative Approximate Cross-Validation
Yuetian Luo, Zhimei Ren, Rina Barber
JAWS-X: Addressing Efficiency Bottlenecks of Conformal Prediction Under Standard and Feedback Covariate Shift
Drew Prinster, Suchi Saria, Anqi Liu
Jump-Start Reinforcement Learning
Ikechukwu Uchendu, Ted Xiao, Yao Lu et al.