Papers
11,951 papers found
Complete and Efficient Graph Transformers for Crystal Material Property Prediction
Keqiang Yan, Cong Fu, Xiaofeng Qian et al.
Complex priors and flexible inference in recurrent circuits with dendritic nonlinearities
Benjamin S. H. Lyo, Cristina Savin
Compliance by Design Methodologies in the Legal Governance Schemes of European Data Spaces
Kossay Talmoudi, Khalid Choukri, Isabelle Gavanon
Compose and Conquer: Diffusion-Based 3D Depth Aware Composable Image Synthesis
Jonghyun Lee, Hansam Cho, YoungJoon Yoo et al.
Composed Image Retrieval with Text Feedback via Multi-grained Uncertainty Regularization
Yiyang Chen, Zhedong Zheng, Wei Ji et al.
Compositional Conservatism: A Transductive Approach in Offline Reinforcement Learning
Yeda Song, Dongwook Lee, Gunhee Kim
Compositional Generative Inverse Design
Tailin Wu, Takashi Maruyama, Long Wei et al.
Compositional Preference Models for Aligning LMs
Dongyoung Go, Tomasz Korbak, Germán Kruszewski et al.
Comprehensive Attribution: Inherently Explainable Vision Model with Feature Detector
Xianren Zhang, Dongwon Lee, Suhang Wang
Compressed Context Memory for Online Language Model Interaction
Jang-Hyun Kim, Junyoung Yeom, Sangdoo Yun et al.
Compressing Latent Space via Least Volume
Qiuyi Chen, Mark Fuge
Compressing LLMs: The Truth is Rarely Pure and Never Simple
AJAY KUMAR JAISWAL, Zhe Gan, Xianzhi Du et al.
Concept Arithmetics for Circumventing Concept Inhibition in Diffusion Models
Vitali Petsiuk, Kate Saenko
Concept Bottleneck Generative Models
Aya Abdelsalam Ismail, Julius Adebayo, Hector Corrada Bravo et al.
Conditional Generative Models are Sufficient to Sample from Any Causal Effect Estimand
Md Musfiqur Rahman, Matt Jordan, Murat Kocaoglu
Conditional Information Bottleneck Approach for Time Series Imputation
MinGyu Choi, Changhee Lee
Conditional Instrumental Variable Regression with Representation Learning for Causal Inference
Debo Cheng, Ziqi Xu, Jiuyong Li et al.
Conditional Variational Diffusion Models
Gabriel Della Maggiora, Luis Alberto Croquevielle, Nikita Deshpande et al.
Confidence-aware Reward Optimization for Fine-tuning Text-to-Image Models
Kyuyoung Kim, Jongheon Jeong, Minyong An et al.
Confidential-DPproof: Confidential Proof of Differentially Private Training
Ali Shahin Shamsabadi, Gefei Tan, Tudor Ioan Cebere et al.
Confident Natural Policy Gradient for Local Planning in $q_\pi$-realizable Constrained MDPs
Tian Tian, Lin F. Yang, Csaba Szepesvári
Conformal Inductive Graph Neural Networks
Soroush H. Zargarbashi, Aleksandar Bojchevski
Conformal Language Modeling
Victor Quach, Adam Fisch, Tal Schuster et al.
Conformal Prediction via Regression-as-Classification
Etash Kumar Guha, Shlok Natarajan, Thomas Möllenhoff et al.
Conformal Risk Control
Anastasios Nikolas Angelopoulos, Stephen Bates, Adam Fisch et al.