Papers
Integrated Defense for Resilient Graph Matching
Jiaxiang Ren, Zijie Zhang, Jiayin Jin et al.
Interaction-Grounded Learning
Tengyang Xie, John Langford, Paul Mineiro et al.
Interactive Learning from Activity Description
Khanh X Nguyen, Dipendra Misra, Robert Schapire et al.
Intermediate Layer Optimization for Inverse Problems using Deep Generative Models
Giannis Daras, Joseph Dean, Ajil Jalal et al.
Interpretable Stability Bounds for Spectral Graph Filters
Henry Kenlay, Dorina Thanou, Xiaowen Dong
Interpretable Stein Goodness-of-fit Tests on Riemannian Manifold
Wenkai Xu, Takeru Matsuda
Interpreting and Disentangling Feature Components of Various Complexity from DNNs
Jie Ren, Mingjie Li, Zexu Liu et al.
Inverse Constrained Reinforcement Learning
Shehryar Malik, Usman Anwar, Alireza Aghasi et al.
Inverse Decision Modeling: Learning Interpretable Representations of Behavior
Daniel Jarrett, Alihan Hüyük, Mihaela Van Der Schaar
Isometric Gaussian Process Latent Variable Model for Dissimilarity Data
Martin Jørgensen, Soren Hauberg
Is Pessimism Provably Efficient for Offline RL?
Ying Jin, Zhuoran Yang, Zhaoran Wang
Is Space-Time Attention All You Need for Video Understanding?
Gedas Bertasius, Heng Wang, Lorenzo Torresani
Joining datasets via data augmentation in the label space for neural networks
Junbo Zhao, Mingfeng Ou, Linji Xue et al.
Joint Online Learning and Decision-making via Dual Mirror Descent
Alfonso Lobos, Paul Grigas, Zheng Wen
Just How Toxic is Data Poisoning? A Unified Benchmark for Backdoor and Data Poisoning Attacks
Avi Schwarzschild, Micah Goldblum, Arjun Gupta et al.
Just Train Twice: Improving Group Robustness without Training Group Information
Evan Z Liu, Behzad Haghgoo, Annie S Chen et al.
KD3A: Unsupervised Multi-Source Decentralized Domain Adaptation via Knowledge Distillation
Haozhe Feng, Zhaoyang You, Minghao Chen et al.
Kernel-Based Reinforcement Learning: A Finite-Time Analysis
Omar Darwiche Domingues, Pierre Menard, Matteo Pirotta et al.
Kernel Continual Learning
Mohammad Mahdi Derakhshani, Xiantong Zhen, Ling Shao et al.
Kernel Stein Discrepancy Descent
Anna Korba, Pierre-Cyril Aubin-Frankowski, Szymon Majewski et al.
Keyframe-Focused Visual Imitation Learning
Chuan Wen, Jierui Lin, Jianing Qian et al.
KNAS: Green Neural Architecture Search
Jingjing Xu, Liang Zhao, Junyang Lin et al.
Knowledge Enhanced Machine Learning Pipeline against Diverse Adversarial Attacks
Nezihe Merve Gürel, Xiangyu Qi, Luka Rimanic et al.
KO codes: inventing nonlinear encoding and decoding for reliable wireless communication via deep-learning
Ashok V Makkuva, Xiyang Liu, Mohammad Vahid Jamali et al.
K-shot NAS: Learnable Weight-Sharing for NAS with K-shot Supernets
Xiu Su, Shan You, Mingkai Zheng et al.