Papers
CA-SSLR: Condition-Aware Self-Supervised Learning Representation for Generalized Speech Processing
Yen-Ju Lu, Jing Liu, Thomas Thebaud et al.
CAT3D: Create Anything in 3D with Multi-View Diffusion Models
Ruiqi Gao, Aleksander Hołyński, Philipp Henzler et al.
Catastrophic Goodhart: regularizing RLHF with KL divergence does not mitigate heavy-tailed reward misspecification
Thomas Kwa, Drake Thomas, Adrià Garriga-Alonso
CAT: Coordinating Anatomical-Textual Prompts for Multi-Organ and Tumor Segmentation
Zhongzhen Huang, Yankai Jiang, Rongzhao Zhang et al.
Categorical Flow Matching on Statistical Manifolds
Chaoran Cheng, Jiahan Li, Jian Peng et al.
CausalChaos! Dataset for Comprehensive Causal Action Question Answering Over Longer Causal Chains Grounded in Dynamic Visual Scenes
Paritosh Parmar, Eric Peh, Ruirui Chen et al.
Causal Context Adjustment Loss for Learned Image Compression
Minghao Han, Shiyin Jiang, Shengxi Li et al.
Causal Contrastive Learning for Counterfactual Regression Over Time
Mouad El Bouchattaoui, Myriam Tami, Benoit Lepetit et al.
Causal Deciphering and Inpainting in Spatio-Temporal Dynamics via Diffusion Model
Yifan Duan, Jian Zhao, pengcheng et al.
Causal Dependence Plots
Joshua R. Loftus, Lucius E. J. Bynum, Sakina Hansen
CausalDiff: Causality-Inspired Disentanglement via Diffusion Model for Adversarial Defense
Mingkun Zhang, Keping Bi, Wei Chen et al.
Causal Discovery from Event Sequences by Local Cause-Effect Attribution
Joscha Cüppers, Sascha Xu, Ahmed Musa et al.
Causal discovery with endogenous context variables
Wiebke Günther, Oana-Iuliana Popescu, Martin Rabel et al.
Causal Effect Identification in a Sub-Population with Latent Variables
Amir Mohammad Abouei, Ehsan Mokhtarian, Negar Kiyavash et al.
Causal Imitation for Markov Decision Processes: a Partial Identification Approach
Kangrui Ruan, Junzhe Zhang, Xuan Di et al.
Causal Inference in the Closed-Loop: Marginal Structural Models for Sequential Excursion Effects
Alexander W. Levis, Gabriel Loewinger, Francisco Pereira
Causal language modeling can elicit search and reasoning capabilities on logic puzzles
Kulin Shah, Nishanth Dikkala, Xin Wang et al.
CausalStock: Deep End-to-end Causal Discovery for News-driven Multi-stock Movement Prediction
Shuqi Li, Yuebo Sun, Yuxin Lin et al.
Causal Temporal Representation Learning with Nonstationary Sparse Transition
Xiangchen Song, Zijian Li, Guangyi Chen et al.
Causal vs. Anticausal merging of predictors
Sergio Hernan Garrido Mejia, Patrick Blöbaum, Bernhard Schölkopf et al.
Cell ontology guided transcriptome foundation model
Xinyu Yuan, Zhihao Zhan, Zuobai Zhang et al.
CemiFace: Center-based Semi-hard Synthetic Face Generation for Face Recognition
Zhonglin Sun, Siyang Song, Ioannis Patras et al.
CE-NAS: An End-to-End Carbon-Efficient Neural Architecture Search Framework
Yiyang Zhao, Yunzhuo Liu, Bo Jiang et al.
Certified Adversarial Robustness via Randomized $\alpha$-Smoothing for Regression Models
Aref Miri Rekavandi, Farhad Farokhi, Olga Ohrimenko et al.
Certified Machine Unlearning via Noisy Stochastic Gradient Descent
Eli Chien, Haoyu Wang, Ziang Chen et al.