Papers
Cascaded Parallel Filtering for Memory-Efficient Image-Based Localization
Wentao Cheng, Weisi Lin, Kan Chen et al.
Cascaded Partial Decoder for Fast and Accurate Salient Object Detection
Zhe Wu, Li Su, Qingming Huang
Cascaded Projection: End-To-End Network Compression and Acceleration
Breton Minnehan, Andreas Savakis
Cascade RPN: Delving into High-Quality Region Proposal Network with Adaptive Convolution
Thang Vu, Hyunjun Jang, Trung X. Pham et al.
Cascading Linear Submodular Bandits: Accounting for Position Bias and Diversity in Online Learning to Rank
Gaurush Hiranandani, Harvineet Singh, Prakhar Gupta et al.
Cascading Non-Stationary Bandits: Online Learning to Rank in the Non-Stationary Cascade Model
Chang Li, Maarten de Rijke
Cash-Out User Detection Based on Attributed Heterogeneous Information Network with a Hierarchical Attention Mechanism
Binbin Hu, Zhiqiang Zhang, Chuan Shi et al.
Casting Light on Invisible Cities: Computationally Engaging with Literary Criticism
Shufan Wang, Mohit Iyyer
Catastrophic Child's Play: Easy to Perform, Hard to Defend Adversarial Attacks
Chih-Hui Ho, Brandon Leung, Erik Sandstrom et al.
Catastrophic Forgetting Meets Negative Transfer: Batch Spectral Shrinkage for Safe Transfer Learning
Xinyang Chen, Sinan Wang, Bo Fu et al.
Categorical Feature Compression via Submodular Optimization
Mohammadhossein Bateni, Lin Chen, Hossein Esfandiari et al.
Categorized Bandits
Matthieu Jedor, Vianney Perchet, Jonathan Louedec
Categorizing and Inferring the Relationship between the Text and Image of Twitter Posts
Alakananda Vempala, Daniel Preoţiuc-Pietro
Categorizing Comparative Sentences
Alexander Panchenko, Alexander Bondarenko, Mirco Franzek et al.
Category Anchor-Guided Unsupervised Domain Adaptation for Semantic Segmentation
Qiming ZHANG, Jing Zhang, Wei Liu et al.
CAUDIT: Continuous Auditing of SSH Servers To Mitigate Brute-Force Attacks
Phuong M. Cao, Yuming Wu, Subho S. Banerjee et al.
Causal Calculus in the Presence of Cycles, Latent Confounders and Selection Bias
Patrick Forré, Joris M. Mooij
Causal Confusion in Imitation Learning
Pim de Haan, Dinesh Jayaraman, Sergey Levine
Causal Discovery and Forecasting in Nonstationary Environments with State-Space Models
Biwei Huang, Kun Zhang, Mingming Gong et al.
Causal Discovery in the Presence of Missing Data
Ruibo Tu, Cheng Zhang, Paul Ackermann et al.
Causal Discovery with Cascade Nonlinear Additive Noise Model
Ruichu Cai, Jie Qiao, Kun Zhang et al.
Causal Discovery with General Non-Linear Relationships using Non-Linear ICA
Ricardo Pio Monti, Kun Zhang, Aapo Hyvärinen
Causal Embeddings for Recommendation: An Extended Abstract
Flavian Vasile, Stephen Bonner
Causal Identification under Markov Equivalence: Completeness Results
Amin Jaber, Jiji Zhang, Elias Bareinboim