Papers
Capturing Failures of Large Language Models via Human Cognitive Biases
Erik Jones, Jacob Steinhardt
Capturing Graphs with Hypo-Elliptic Diffusions
Csaba Toth, Darrick Lee, Celia Hacker et al.
CARD: Classification and Regression Diffusion Models
Xizewen Han, Huangjie Zheng, Mingyuan Zhou
CARLANE: A Lane Detection Benchmark for Unsupervised Domain Adaptation from Simulation to multiple Real-World Domains
Bonifaz Stuhr, Johann Haselberger, Julian Gebele
CASA: Category-agnostic Skeletal Animal Reconstruction
Yuefan Wu, Zeyuan Chen, Shaowei Liu et al.
CascadeXML: Rethinking Transformers for End-to-end Multi-resolution Training in Extreme Multi-label Classification
Siddhant Kharbanda, Atmadeep Banerjee, Erik Schultheis et al.
CATER: Intellectual Property Protection on Text Generation APIs via Conditional Watermarks
Xuanli He, Qiongkai Xu, Yi Zeng et al.
Causal Discovery in Heterogeneous Environments Under the Sparse Mechanism Shift Hypothesis
Ronan Perry, Julius von Kügelgen, Bernhard Schölkopf
Causal Discovery in Linear Latent Variable Models Subject to Measurement Error
Yuqin Yang, AmirEmad Ghassami, Mohamed Nafea et al.
Causal Identification under Markov equivalence: Calculus, Algorithm, and Completeness
Amin Jaber, Adele Ribeiro, Jiji Zhang et al.
Causal Inference with Non-IID Data using Linear Graphical Models
Chi Zhang, Karthika Mohan, Judea Pearl
Causality-driven Hierarchical Structure Discovery for Reinforcement Learning
shaohui peng, Xing Hu, Rui Zhang et al.
Causality Preserving Chaotic Transformation and Classification using Neurochaos Learning
Harikrishnan N B, Aditi Kathpalia, Nithin Nagaraj
Causally motivated multi-shortcut identification and removal
Jiayun Zheng, Maggie Makar
CCCP is Frank-Wolfe in disguise
Alp Yurtsever, Suvrit Sra
CEBaB: Estimating the Causal Effects of Real-World Concepts on NLP Model Behavior
Eldar D Abraham, Karel D'Oosterlinck, Amir Feder et al.
CEDe: A collection of expert-curated datasets with atom-level entity annotations for Optical Chemical Structure Recognition
Rodrigo Hormazabal, Changyoung Park, Soonyoung Lee et al.
CEIP: Combining Explicit and Implicit Priors for Reinforcement Learning with Demonstrations
Kai Yan, Alex Schwing, Yu-Xiong Wang
Censored Quantile Regression Neural Networks for Distribution-Free Survival Analysis
Tim Pearce, Jong-Hyeon Jeong, yichen jia et al.
Certifying Robust Graph Classification under Orthogonal Gromov-Wasserstein Threats
Hongwei Jin, Zishun Yu, Xinhua Zhang
Certifying Some Distributional Fairness with Subpopulation Decomposition
Mintong Kang, Linyi Li, Maurice Weber et al.
CGLB: Benchmark Tasks for Continual Graph Learning
Xikun Zhang, Dongjin Song, Dacheng Tao
Chain of Thought Imitation with Procedure Cloning
Mengjiao (Sherry) Yang, Dale Schuurmans, Pieter Abbeel et al.
Chain-of-Thought Prompting Elicits Reasoning in Large Language Models
Jason Wei, Xuezhi Wang, Dale Schuurmans et al.