Papers
11,955 papers found
Causal Balancing for Domain Generalization
Xinyi Wang, Michael Saxon, Jiachen Li et al.
Causal Confusion and Reward Misidentification in Preference-Based Reward Learning
Jeremy Tien, Jerry Zhi-Yang He, Zackory Erickson et al.
Causal Estimation for Text Data with (Apparent) Overlap Violations
Lin Gui, Victor Veitch
Causal Imitation Learning via Inverse Reinforcement Learning
Kangrui Ruan, Junzhe Zhang, Xuan Di et al.
Causality Compensated Attention for Contextual Biased Visual Recognition
Ruyang Liu, Jingjia Huang, Thomas H. Li et al.
Causal Reasoning in the Presence of Latent Confounders via Neural ADMG Learning
Matthew Ashman, Chao Ma, Agrin Hilmkil et al.
Causal Representation Learning for Instantaneous and Temporal Effects in Interactive Systems
Phillip Lippe, Sara Magliacane, Sindy Löwe et al.
C-Disentanglement: Discovering Causally-Independent Generative Factors under an Inductive Bias of Confounder
Xiaoyu Liu, Jiaxin Yuan, Bang An et al.
Certifiably Robust Policy Learning against Adversarial Multi-Agent Communication
Yanchao Sun, Ruijie Zheng, Parisa Hassanzadeh et al.
(Certified!!) Adversarial Robustness for Free!
Nicholas Carlini, Florian Tramer, Krishnamurthy Dj Dvijotham et al.
Certified Defences Against Adversarial Patch Attacks on Semantic Segmentation
Maksym Yatsura, Kaspar Sakmann, N. Grace Hua et al.
Certified Training: Small Boxes are All You Need
Mark Niklas Mueller, Franziska Eckert, Marc Fischer et al.
CFlowNets: Continuous Control with Generative Flow Networks
Yinchuan Li, Shuang Luo, Haozhi Wang et al.
Characteristic Neural Ordinary Differential Equation
Xingzi Xu, Ali Hasan, Khalil Elkhalil et al.
Characterizing intrinsic compositionality in transformers with Tree Projections
Shikhar Murty, Pratyusha Sharma, Jacob Andreas et al.
Characterizing the Influence of Graph Elements
Zizhang Chen, Peizhao Li, Hongfu Liu et al.
Characterizing the spectrum of the NTK via a power series expansion
Michael Murray, Hui Jin, Benjamin Bowman et al.
Chasing All-Round Graph Representation Robustness: Model, Training, and Optimization
Chunhui Zhang, Yijun Tian, Mingxuan Ju et al.
Cheap Talk Discovery and Utilization in Multi-Agent Reinforcement Learning
Yat Long Lo, Christian Schroeder de Witt, Samuel Sokota et al.
ChiroDiff: Modelling chirographic data with Diffusion Models
Ayan Das, Yongxin Yang, Timothy Hospedales et al.
ChordMixer: A Scalable Neural Attention Model for Sequences with Different Length
Ruslan Khalitov, Tong Yu, Lei Cheng et al.
Choreographer: Learning and Adapting Skills in Imagination
Pietro Mazzaglia, Tim Verbelen, Bart Dhoedt et al.
CircNet: Meshing 3D Point Clouds with Circumcenter Detection
Huan Lei, Ruitao Leng, Liang Zheng et al.
CityRefer: Geography-aware 3D Visual Grounding Dataset on City-scale Point Cloud Data
Taiki Miyanishi, Fumiya Kitamori, Shuhei Kurita et al.
CktGNN: Circuit Graph Neural Network for Electronic Design Automation
Zehao Dong, Weidong Cao, Muhan Zhang et al.