Papers
11,015 papers found
Complex priors and flexible inference in recurrent circuits with dendritic nonlinearities
Benjamin S. H. Lyo, Cristina Savin
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.
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 Bottleneck Generative Models
Aya Abdelsalam Ismail, Julius Adebayo, Hector Corrada Bravo et al.
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.
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.
Confronting Reward Model Overoptimization with Constrained RLHF
Ted Moskovitz, Aaditya K Singh, DJ Strouse et al.
ConjNorm: Tractable Density Estimation for Out-of-Distribution Detection
Bo Peng, Yadan Luo, Yonggang Zhang et al.
Connect, Collapse, Corrupt: Learning Cross-Modal Tasks with Uni-Modal Data
Yuhui Zhang, Elaine Sui, Serena Yeung
Connecting Large Language Models with Evolutionary Algorithms Yields Powerful Prompt Optimizers
Qingyan Guo, Rui Wang, Junliang Guo et al.
ConR: Contrastive Regularizer for Deep Imbalanced Regression
Mahsa Keramati, Lili Meng, R. David Evans
Consciousness-Inspired Spatio-Temporal Abstractions for Better Generalization in Reinforcement Learning
Harry Zhao, Safa Alver, Harm van Seijen et al.