Papers
Inducing Equilibria via Incentives: Simultaneous Design-and-Play Ensures Global Convergence
Boyi Liu, Jiayang Li, Zhuoran Yang et al.
Inducing Neural Collapse in Imbalanced Learning: Do We Really Need a Learnable Classifier at the End of Deep Neural Network?
Yibo Yang, Shixiang Chen, Xiangtai Li et al.
Inductive Logical Query Answering in Knowledge Graphs
Michael Galkin, Zhaocheng Zhu, Hongyu Ren et al.
Inference and Sampling for Archimax Copulas
Yuting Ng, Ali Hasan, Vahid Tarokh
Infinite-Fidelity Coregionalization for Physical Simulation
Shibo Li, Zheng Wang, Robert Kirby et al.
Infinite Recommendation Networks: A Data-Centric Approach
Noveen Sachdeva, Mehak Dhaliwal, Carole-Jean Wu et al.
Influencing Long-Term Behavior in Multiagent Reinforcement Learning
Dong-Ki Kim, Matthew Riemer, Miao Liu et al.
Information bottleneck theory of high-dimensional regression: relevancy, efficiency and optimality
Vudtiwat Ngampruetikorn, David J Schwab
Information-Theoretic GAN Compression with Variational Energy-based Model
Minsoo Kang, Hyewon Yoo, Eunhee Kang et al.
Information-Theoretic Safe Exploration with Gaussian Processes
Alessandro Bottero, Carlos Luis, Julia Vinogradska et al.
Inherently Explainable Reinforcement Learning in Natural Language
Xiangyu Peng, Mark Riedl, Prithviraj Ammanabrolu
Injecting Domain Knowledge from Empirical Interatomic Potentials to Neural Networks for Predicting Material Properties
Zeren Shui, Daniel Karls, Mingjian Wen et al.
INRAS: Implicit Neural Representation for Audio Scenes
Kun Su, Mingfei Chen, Eli Shlizerman
Insights into Pre-training via Simpler Synthetic Tasks
Yuhuai Wu, Felix Li, Percy Liang
InsNet: An Efficient, Flexible, and Performant Insertion-based Text Generation Model
Sidi Lu, Tao Meng, Nanyun Peng
InsPro: Propagating Instance Query and Proposal for Online Video Instance Segmentation
Fei He, Haoyang Zhang, Naiyu Gao et al.
Instability and Local Minima in GAN Training with Kernel Discriminators
Evan Becker, Parthe Pandit, Sundeep Rangan et al.
Instance-based Learning for Knowledge Base Completion
Wanyun Cui, Xingran Chen
Instance-Based Uncertainty Estimation for Gradient-Boosted Regression Trees
Jonathan Brophy, Daniel Lowd
Instance-Dependent Near-Optimal Policy Identification in Linear MDPs via Online Experiment Design
Andrew Wagenmaker, Kevin G. Jamieson
Instance-optimal PAC Algorithms for Contextual Bandits
Zhaoqi Li, Lillian Ratliff, houssam nassif et al.
Integral Probability Metrics PAC-Bayes Bounds
Ron Amit, Baruch Epstein, Shay Moran et al.
Interaction-Grounded Learning with Action-Inclusive Feedback
Tengyang Xie, Akanksha Saran, Dylan J Foster et al.
Interaction Modeling with Multiplex Attention
Fan-Yun Sun, Isaac Kauvar, Ruohan Zhang et al.
Intermediate Prototype Mining Transformer for Few-Shot Semantic Segmentation
YUANWEI LIU, Nian Liu, Xiwen Yao et al.