Papers
Connecting Multi-modal Contrastive Representations
Zehan Wang, Yang Zhao, Xize 成 et al.
Connecting Pre-trained Language Model and Downstream Task via Properties of Representation
Chenwei Wu, Holden Lee, Rong Ge
ConRad: Image Constrained Radiance Fields for 3D Generation from a Single Image
Senthil Purushwalkam, Nikhil Naik
Consensus and Subjectivity of Skin Tone Annotation for ML Fairness
Candice Schumann, Femi Olanubi, Auriel Wright et al.
Conservative Offline Policy Adaptation in Multi-Agent Games
Chengjie Wu, Pingzhong Tang, Jun Yang et al.
Conservative State Value Estimation for Offline Reinforcement Learning
Liting Chen, Jie Yan, Zhengdao Shao et al.
Consistent Diffusion Models: Mitigating Sampling Drift by Learning to be Consistent
Giannis Daras, Yuval Dagan, Alex Dimakis et al.
Constant Approximation for Individual Preference Stable Clustering
Anders Aamand, Justin Chen, Allen Liu et al.
Constrained Policy Optimization with Explicit Behavior Density For Offline Reinforcement Learning
Jing Zhang, Chi Zhang, Wenjia Wang et al.
Constraint-Conditioned Policy Optimization for Versatile Safe Reinforcement Learning
Yihang Yao, ZUXIN LIU, Zhepeng Cen et al.
Constructing Non-isotropic Gaussian Diffusion Model Using Isotropic Gaussian Diffusion Model for Image Editing
Xi Yu, Xiang Gu, Haozhi Liu et al.
Construction of Hierarchical Neural Architecture Search Spaces based on Context-free Grammars
Simon Schrodi, Danny Stoll, Binxin Ru et al.
Content-based Unrestricted Adversarial Attack
Zhaoyu Chen, Bo Li, Shuang Wu et al.
Context-guided Embedding Adaptation for Effective Topic Modeling in Low-Resource Regimes
Yishi Xu, Jianqiao Sun, Yudi Su et al.
Context-lumpable stochastic bandits
Chung-Wei Lee, Qinghua Liu, Yasin Abbasi Yadkori et al.
Context-PIPs: Persistent Independent Particles Demands Spatial Context Features
Weikang Bian, Zhaoyang Huang, Xiaoyu Shi et al.
Context Shift Reduction for Offline Meta-Reinforcement Learning
Yunkai Gao, Rui Zhang, Jiaming Guo et al.
Contextual Bandits and Imitation Learning with Preference-Based Active Queries
Ayush Sekhari, Karthik Sridharan, Wen Sun et al.
Contextual Gaussian Process Bandits with Neural Networks
Haoting Zhang, Jinghai He, Rhonda Righter et al.
Contextually Affinitive Neighborhood Refinery for Deep Clustering
Chunlin Yu, Ye Shi, Jingya Wang
Contextual Stochastic Bilevel Optimization
Yifan Hu, Jie Wang, Yao Xie et al.
ContiFormer: Continuous-Time Transformer for Irregular Time Series Modeling
Yuqi Chen, Kan Ren, Yansen Wang et al.
Continual Learning for Instruction Following from Realtime Feedback
Alane Suhr, Yoav Artzi
ContinuAR: Continuous Autoregression For Infinite-Fidelity Fusion
WEI XING, Yuxin Wang, Zheng Xing