Papers
CLIP-It! Language-Guided Video Summarization
Medhini Narasimhan, Anna Rohrbach, Trevor Darrell
Clockwork Variational Autoencoders
Vaibhav Saxena, Jimmy Ba, Danijar Hafner
Closing the Gap: Tighter Analysis of Alternating Stochastic Gradient Methods for Bilevel Problems
Tianyi Chen, Yuejiao Sun, Wotao Yin
Closing the loop in medical decision support by understanding clinical decision-making: A case study on organ transplantation
Yuchao Qin, Fergus Imrie, Alihan Hüyük et al.
Clustering Effect of Adversarial Robust Models
Yang Bai, Xin Yan, Yong Jiang et al.
Co-Adaptation of Algorithmic and Implementational Innovations in Inference-based Deep Reinforcement Learning
Hiroki Furuta, Tadashi Kozuno, Tatsuya Matsushima et al.
Coarse-to-fine Animal Pose and Shape Estimation
Chen Li, Gim Hee Lee
CoAtNet: Marrying Convolution and Attention for All Data Sizes
Zihang Dai, Hanxiao Liu, Quoc V Le et al.
Cockpit: A Practical Debugging Tool for the Training of Deep Neural Networks
Frank Schneider, Felix Dangel, Philipp Hennig
COCO-LM: Correcting and Contrasting Text Sequences for Language Model Pretraining
Yu Meng, Chenyan Xiong, Payal Bajaj et al.
Co-evolution Transformer for Protein Contact Prediction
He Zhang, Fusong Ju, Jianwei Zhu et al.
CoFiNet: Reliable Coarse-to-fine Correspondences for Robust PointCloud Registration
Hao Yu, Fu Li, Mahdi Saleh et al.
CoFrNets: Interpretable Neural Architecture Inspired by Continued Fractions
Isha Puri, Amit Dhurandhar, Tejaswini Pedapati et al.
CogView: Mastering Text-to-Image Generation via Transformers
Ming Ding, Zhuoyi Yang, Wenyi Hong et al.
COHESIV: Contrastive Object and Hand Embedding Segmentation In Video
Dandan Shan, Richard Higgins, David Fouhey
Collaborating with Humans without Human Data
DJ Strouse, Kevin McKee, Matt Botvinick et al.
Collaborative Causal Discovery with Atomic Interventions
Raghavendra Addanki, Shiva P. Kasiviswanathan
Collaborative Learning in the Jungle (Decentralized, Byzantine, Heterogeneous, Asynchronous and Nonconvex Learning)
El Mahdi El-Mhamdi, Sadegh Farhadkhani, Rachid Guerraoui et al.
Collaborative Uncertainty in Multi-Agent Trajectory Forecasting
Bohan Tang, Yiqi Zhong, Ulrich Neumann et al.
Collapsed Variational Bounds for Bayesian Neural Networks
Marcin Tomczak, Siddharth Swaroop, Andrew Foong et al.
Combating Noise: Semi-supervised Learning by Region Uncertainty Quantification
Zhenyu Wang, Ya-Li Li, Ye Guo et al.
Combinatorial Optimization for Panoptic Segmentation: A Fully Differentiable Approach
Ahmed Abbas, Paul Swoboda
Combinatorial Pure Exploration with Bottleneck Reward Function
Yihan Du, Yuko Kuroki, Wei Chen
Combiner: Full Attention Transformer with Sparse Computation Cost
Hongyu Ren, Hanjun Dai, Zihang Dai et al.
Combining Human Predictions with Model Probabilities via Confusion Matrices and Calibration
Gavin Kerrigan, Padhraic Smyth, Mark Steyvers