Papers
Increasing Liquid State Machine Performance with Edge-of-Chaos Dynamics Organized by Astrocyte-modulated Plasticity
Vladimir Ivanov, Konstantinos Michmizos
Independent mechanism analysis, a new concept?
Luigi Gresele, Julius von Kügelgen, Vincent Stimper et al.
Independent Prototype Propagation for Zero-Shot Compositionality
Frank Ruis, Gertjan Burghouts, Doina Bucur
Indexed Minimum Empirical Divergence for Unimodal Bandits
Hassan SABER, Pierre Ménard, Odalric-Ambrym Maillard
INDIGO: GNN-Based Inductive Knowledge Graph Completion Using Pair-Wise Encoding
Shuwen Liu, Bernardo Grau, Ian Horrocks et al.
Individual Privacy Accounting via a Rényi Filter
Vitaly Feldman, Tijana Zrnic
Infinite Time Horizon Safety of Bayesian Neural Networks
Mathias Lechner, Đorđe Žikelić, Krishnendu Chatterjee et al.
Influence Patterns for Explaining Information Flow in BERT
Kaiji Lu, Zifan Wang, Piotr Mardziel et al.
InfoGCL: Information-Aware Graph Contrastive Learning
Dongkuan Xu, Wei Cheng, Dongsheng Luo et al.
Information-constrained optimization: can adaptive processing of gradients help?
Jayadev Acharya, Clement Canonne, Prathamesh Mayekar et al.
Information Directed Reward Learning for Reinforcement Learning
David Lindner, Matteo Turchetta, Sebastian Tschiatschek et al.
Information Directed Sampling for Sparse Linear Bandits
Botao Hao, Tor Lattimore, Wei Deng
Information is Power: Intrinsic Control via Information Capture
Nicholas Rhinehart, Jenny Wang, Glen Berseth et al.
Information-theoretic generalization bounds for black-box learning algorithms
Hrayr Harutyunyan, Maxim Raginsky, Greg Ver Steeg et al.
Instance-Conditional Knowledge Distillation for Object Detection
Zijian Kang, Peizhen Zhang, Xiangyu Zhang et al.
Instance-Conditioned GAN
Arantxa Casanova, Marlene Careil, Jakob J. Verbeek et al.
Instance-Dependent Bounds for Zeroth-order Lipschitz Optimization with Error Certificates
Francois Bachoc, Tom Cesari, Sébastien Gerchinovitz
Instance-dependent Label-noise Learning under a Structural Causal Model
Yu Yao, Tongliang Liu, Mingming Gong et al.
Instance-Dependent Partial Label Learning
Ning Xu, Congyu Qiao, Xin Geng et al.
Instance-optimal Mean Estimation Under Differential Privacy
Ziyue Huang, Yuting Liang, Ke Yi
Integrated Latent Heterogeneity and Invariance Learning in Kernel Space
Jiashuo Liu, Zheyuan Hu, Peng Cui et al.
Integrating Expert ODEs into Neural ODEs: Pharmacology and Disease Progression
Zhaozhi Qian, William Zame, Lucas Fleuren et al.
Integrating Tree Path in Transformer for Code Representation
Han Peng, Ge Li, Wenhan Wang et al.
Interactive Label Cleaning with Example-based Explanations
Stefano Teso, Andrea Bontempelli, Fausto Giunchiglia et al.
Interesting Object, Curious Agent: Learning Task-Agnostic Exploration
Simone Parisi, Victoria Dean, Deepak Pathak et al.