Papers
Large Language Models to Diffusion Finetuning
Edoardo Cetin, Tianyu Zhao, Yujin Tang
Tackling View-Dependent Semantics in 3D Language Gaussian Splatting
Jiazhong Cen, Xudong Zhou, Jiemin Fang et al.
A Mathematical Framework for AI-Human Integration in Work
L. Elisa Celis, Lingxiao Huang, Nisheeth K. Vishnoi
DIME: Diffusion-Based Maximum Entropy Reinforcement Learning
Onur Celik, Zechu Li, Denis Blessing et al.
The impact of uncertainty on regularized learning in games
Pierre-Louis Cauvin, Davide Legacci, Panayotis Mertikopoulos
A Theoretical Framework For Overfitting In Energy-based Modeling
Giovanni Catania, Aurélien Decelle, Cyril Furtlehner et al.
Discovering Symbolic Cognitive Models from Human and Animal Behavior
Pablo Samuel Castro, Nenad Tomasev, Ankit Anand et al.
Low-Rank Thinning
Annabelle Michael Carrell, Albert Gong, Abhishek Shetty et al.
Signed Laplacians for Constrained Graph Clustering
John Stewart Fabila Carrasco, He Sun
AutoAdvExBench: Benchmarking Autonomous Exploitation of Adversarial Example Defenses
Nicholas Carlini, Edoardo Debenedetti, Javier Rando et al.
AutoElicit: Using Large Language Models for Expert Prior Elicitation in Predictive Modelling
Alexander Capstick, Rahul Krishnan, Payam Barnaghi
Learning Safe Control via On-the-Fly Bandit Exploration
Alexandre Capone, Ryan Kazuo Cosner, Aaron Ames et al.
Prediction-Aware Learning in Multi-Agent Systems
Aymeric Capitaine, Etienne Boursier, Eric Moulines et al.
MetricEmbedding: Accelerate Metric Nearness by Tropical Inner Product
Muyang Cao, Jiajun Yu, Xin Du et al.
Open-Det: An Efficient Learning Framework for Open-Ended Detection
Guiping Cao, Tao Wang, Wenjian Huang et al.
CtrlSynth: Controllable Image Text Synthesis for Data-Efficient Multimodal Learning
Qingqing Cao, Mahyar Najibi, Sachin Mehta
AGAV-Rater: Adapting Large Multimodal Model for AI-Generated Audio-Visual Quality Assessment
Yuqin Cao, Xiongkuo Min, Yixuan Gao et al.
Adversarial Robust Generalization of Graph Neural Networks
Chang Cao, Han Li, Yulong Wang et al.
Dissecting Submission Limit in Desk-Rejections: A Mathematical Analysis of Fairness in AI Conference Policies
Yuefan Cao, Xiaoyu Li, Yingyu Liang et al.
EFDTR: Learnable Elliptical Fourier Descriptor Transformer for Instance Segmentation
Jiawei Cao, Chaochen Gu, Hao Cheng et al.
Efficient Molecular Conformer Generation with SO(3)-Averaged Flow Matching and Reflow
Zhonglin Cao, Mario Geiger, Allan Dos Santos Costa et al.
From Thousands to Billions: 3D Visual Language Grounding via Render-Supervised Distillation from 2D VLMs
Ang Cao, Sergio Arnaud, Oleksandr Maksymets et al.
Implicit Bias of Gradient Descent for Non-Homogeneous Deep Networks
Yuhang Cai, Kangjie Zhou, Jingfeng Wu et al.
Leveraging Diffusion Model as Pseudo-Anomalous Graph Generator for Graph-Level Anomaly Detection
Jinyu Cai, Yunhe Zhang, Fusheng Liu et al.
Self-Discriminative Modeling for Anomalous Graph Detection
Jinyu Cai, Yunhe Zhang, Jicong Fan