Papers
Cross Aggregation Transformer for Image Restoration
Zheng Chen, Yulun Zhang, Jinjin Gu et al.
Cross-Image Context for Single Image Inpainting
Tingliang Feng, Wei Feng, Weiqi Li et al.
Cross-Linked Unified Embedding for cross-modality representation learning
Xinming Tu, Zhi-Jie Cao, xia chenrui et al.
Cross-modal Learning for Image-Guided Point Cloud Shape Completion
Emanuele Aiello, Diego Valsesia, Enrico Magli
CryptoGCN: Fast and Scalable Homomorphically Encrypted Graph Convolutional Network Inference
Ran Ran, Wei Wang, Quan Gang et al.
Cryptographic Hardness of Learning Halfspaces with Massart Noise
Ilias Diakonikolas, Daniel Kane, Pasin Manurangsi et al.
CS-Shapley: Class-wise Shapley Values for Data Valuation in Classification
Stephanie Schoch, Haifeng Xu, Yangfeng Ji
CUP: Critic-Guided Policy Reuse
Jin Zhang, Siyuan Li, Chongjie Zhang
Curious Exploration via Structured World Models Yields Zero-Shot Object Manipulation
Cansu Sancaktar, Sebastian Blaes, Georg Martius
Curriculum Reinforcement Learning using Optimal Transport via Gradual Domain Adaptation
Peide Huang, Mengdi Xu, Jiacheng Zhu et al.
CyCLIP: Cyclic Contrastive Language-Image Pretraining
Shashank Goel, Hritik Bansal, Sumit Bhatia et al.
D^2NeRF: Self-Supervised Decoupling of Dynamic and Static Objects from a Monocular Video
Tianhao Wu, Fangcheng Zhong, Andrea Tagliasacchi et al.
DABS 2.0: Improved Datasets and Algorithms for Universal Self-Supervision
Alex Tamkin, Gaurab Banerjee, Mohamed Owda et al.
DaDA: Distortion-aware Domain Adaptation for Unsupervised Semantic Segmentation
Sujin Jang, Joohan Na, Dokwan Oh
DAGMA: Learning DAGs via M-matrices and a Log-Determinant Acyclicity Characterization
Kevin Bello, Bryon Aragam, Pradeep K. Ravikumar
Dance of SNN and ANN: Solving binding problem by combining spike timing and reconstructive attention
Hao Zheng, Hui Lin, Rong Zhao et al.
DARE: Disentanglement-Augmented Rationale Extraction
Linan Yue, Qi Liu, Yichao Du et al.
DART: Articulated Hand Model with Diverse Accessories and Rich Textures
Daiheng Gao, Yuliang Xiu, Kailin Li et al.
DASCO: Dual-Generator Adversarial Support Constrained Offline Reinforcement Learning
Quan Vuong, Aviral Kumar, Sergey Levine et al.
Data Augmentation for Compositional Data: Advancing Predictive Models of the Microbiome
Elliott Gordon-Rodriguez, Thomas Quinn, John P. Cunningham
Data augmentation for efficient learning from parametric experts
Alexandre Galashov, Josh S Merel, Nicolas Heess
Data Augmentation MCMC for Bayesian Inference from Privatized Data
Nianqiao Ju, Jordan Awan, Ruobin Gong et al.
Data Distributional Properties Drive Emergent In-Context Learning in Transformers
Stephanie Chan, Adam Santoro, Andrew Lampinen et al.
Data-Driven Conditional Robust Optimization
Abhilash Reddy Chenreddy, Nymisha Bandi, Erick Delage
Data-Driven Offline Decision-Making via Invariant Representation Learning
Han Qi, Yi Su, Aviral Kumar et al.