Papers
Curriculum-guided Hindsight Experience Replay
Meng Fang, Tianyi Zhou, Yali Du et al.
Curriculum Learning for Cumulative Return Maximization
Francesco Foglino, Christiano Coletto Christakou, Ricardo Luna Gutierrez et al.
Curriculum Learning for Domain Adaptation in Neural Machine Translation
Xuan Zhang, Pamela Shapiro, Gaurav Kumar et al.
Curvature-Exploiting Acceleration of Elastic Net Computations
Vien Mai, Mikael Johansson
Curvilinear Distance Metric Learning
Shuo Chen, Lei Luo, Jian Yang et al.
Customizable Architecture Search for Semantic Segmentation
Yiheng Zhang, Zhaofan Qiu, Jingen Liu et al.
Customizing Grapheme-to-Phoneme System for Non-Trivial Transcription Problems in Bangla Language
Sudipta Saha Shubha, Nafis Sadeq, Shafayat Ahmed et al.
Customizing Neural Machine Translation for Subtitling
Evgeny Matusov, Patrick Wilken, Yota Georgakopoulou
Customizing Student Networks From Heterogeneous Teachers via Adaptive Knowledge Amalgamation
Chengchao Shen, Mengqi Xue, Xinchao Wang et al.
CutMix: Regularization Strategy to Train Strong Classifiers With Localizable Features
Sangdoo Yun, Dongyoon Han, Seong Joon Oh et al.
Cutset Bayesian Networks: A New Representation for Learning Rao-Blackwellised Graphical Models
Tahrima Rahman, Shasha Jin, Vibhav Gogate
CVIT’s submissions to WAT-2019
Jerin Philip, Shashank Siripragada, Upendra Kumar et al.
CXPlain: Causal Explanations for Model Interpretation under Uncertainty
Patrick Schwab, Walter Karlen
Cycle-Consistency for Robust Visual Question Answering
Meet Shah, Xinlei Chen, Marcus Rohrbach et al.
CycleEmotionGAN: Emotional Semantic Consistency Preserved CycleGAN for Adapting Image Emotions
Sicheng Zhao, Chuang Lin, Pengfei Xu et al.
CycleGAN-Based Emotion Style Transfer as Data Augmentation for Speech Emotion Recognition
Fang Bao, Michael Neumann, Ngoc Thang Vu
Cycle-SUM: Cycle-Consistent Adversarial LSTM Networks for Unsupervised Video Summarization
Li Yuan, Francis EH Tay, Ping Li et al.
Cyclical Annealing Schedule: A Simple Approach to Mitigating KL Vanishing
Hao Fu, Chunyuan Li, Xiaodong Liu et al.
Cyclic Guidance for Weakly Supervised Joint Detection and Segmentation
Yunhang Shen, Rongrong Ji, Yan Wang et al.
D2-Net: A Trainable CNN for Joint Description and Detection of Local Features
Mihai Dusmanu, Ignacio Rocco, Tomas Pajdla et al.
D3TW: Discriminative Differentiable Dynamic Time Warping for Weakly Supervised Action Alignment and Segmentation
Chien-Yi Chang, De-An Huang, Yanan Sui et al.
DAC: The Double Actor-Critic Architecture for Learning Options
Shangtong Zhang, Shimon Whiteson
DADA: Depth-Aware Domain Adaptation in Semantic Segmentation
Tuan-Hung Vu, Himalaya Jain, Maxime Bucher et al.
DAG-GNN: DAG Structure Learning with Graph Neural Networks
Yue Yu, Jie Chen, Tian Gao et al.