Papers
Causal Identification with Matrix Equations
Sanghack Lee, Elias Bareinboim
Causal Inference for Event Pairs in Multivariate Point Processes
Tian Gao, Dharmashankar Subramanian, Debarun Bhattacharjya et al.
Causal Influence Detection for Improving Efficiency in Reinforcement Learning
Maximilian Seitzer, Bernhard Schölkopf, Georg Martius
Causal Navigation by Continuous-time Neural Networks
Charles Vorbach, Ramin Hasani, Alexander Amini et al.
CBP: backpropagation with constraint on weight precision using a pseudo-Lagrange multiplier method
Guhyun Kim, Doo Seok Jeong
CCVS: Context-aware Controllable Video Synthesis
Guillaume Le Moing, Jean Ponce, Cordelia Schmid
Celebrating Diversity in Shared Multi-Agent Reinforcement Learning
Chenghao Li, Tonghan Wang, Chengjie Wu et al.
Center Smoothing: Certified Robustness for Networks with Structured Outputs
Aounon Kumar, Tom Goldstein
CentripetalText: An Efficient Text Instance Representation for Scene Text Detection
Tao Sheng, Jie Chen, Zhouhui Lian
Certifying Robustness to Programmable Data Bias in Decision Trees
Anna Meyer, Aws Albarghouthi, Loris D'Antoni
Challenges and Opportunities in High Dimensional Variational Inference
Akash Kumar Dhaka, Alejandro Catalina, Manushi Welandawe et al.
Change Point Detection via Multivariate Singular Spectrum Analysis
Arwa Alanqary, Abdullah Alomar, Devavrat Shah
Channel Permutations for N:M Sparsity
Jeff Pool, Chong Yu
Characterizing Generalization under Out-Of-Distribution Shifts in Deep Metric Learning
Timo Milbich, Karsten Roth, Samarth Sinha et al.
Characterizing possible failure modes in physics-informed neural networks
Aditi Krishnapriyan, Amir Gholami, Shandian Zhe et al.
Characterizing the risk of fairwashing
Ulrich Aïvodji, Hiromi Arai, Sébastien Gambs et al.
Charting and Navigating the Space of Solutions for Recurrent Neural Networks
Elia Turner, Kabir V Dabholkar, Omri Barak
Chasing Sparsity in Vision Transformers: An End-to-End Exploration
Tianlong Chen, Yu Cheng, Zhe Gan et al.
Chebyshev-Cantelli PAC-Bayes-Bennett Inequality for the Weighted Majority Vote
Yi-Shan Wu, Andres Masegosa, Stephan Lorenzen et al.
CHIP: CHannel Independence-based Pruning for Compact Neural Networks
Yang Sui, Miao Yin, Yi Xie et al.
Choose a Transformer: Fourier or Galerkin
Shuhao Cao
Circa: Stochastic ReLUs for Private Deep Learning
Zahra Ghodsi, Nandan Kumar Jha, Brandon Reagen et al.
Class-agnostic Reconstruction of Dynamic Objects from Videos
Zhongzheng Ren, Xiaoming Zhao, Alex Schwing
Class-Disentanglement and Applications in Adversarial Detection and Defense
Kaiwen Yang, Tianyi Zhou, Yonggang Zhang et al.
Class-Incremental Learning via Dual Augmentation
Fei Zhu, Zhen Cheng, Xu-yao Zhang et al.