Papers
11,015 papers found
Discovering Evolution Strategies via Meta-Black-Box Optimization
Robert Tjarko Lange, Tom Schaul, Yutian Chen et al.
Discovering Generalizable Multi-agent Coordination Skills from Multi-task Offline Data
Fuxiang Zhang, Chengxing Jia, Yi-Chen Li et al.
Discovering Informative and Robust Positives for Video Domain Adaptation
Chang Liu, Kunpeng Li, Michael Stopa et al.
Discovering Latent Knowledge in Language Models Without Supervision
Collin Burns, Haotian Ye, Dan Klein et al.
Discovering Policies with DOMiNO: Diversity Optimization Maintaining Near Optimality
Tom Zahavy, Yannick Schroecker, Feryal Behbahani et al.
Discrete Contrastive Diffusion for Cross-Modal Music and Image Generation
Ye Zhu, Yu Wu, Kyle Olszewski et al.
Discrete Predictor-Corrector Diffusion Models for Image Synthesis
Jose Lezama, Tim Salimans, Lu Jiang et al.
Disentanglement of Correlated Factors via Hausdorff Factorized Support
Karsten Roth, Mark Ibrahim, Zeynep Akata et al.
Disentanglement with Biological Constraints: A Theory of Functional Cell Types
James C. R. Whittington, Will Dorrell, Surya Ganguli et al.
Disentangling Learning Representations with Density Estimation
Eric Yeats, Frank Y Liu, Hai Li
Disentangling the Mechanisms Behind Implicit Regularization in SGD
Zachary Novack, Simran Kaur, Tanya Marwah et al.
Disparate Impact in Differential Privacy from Gradient Misalignment
Maria S. Esipova, Atiyeh Ashari Ghomi, Yaqiao Luo et al.
Distilling Cognitive Backdoor Patterns within an Image
Hanxun Huang, Xingjun Ma, Sarah Monazam Erfani et al.
Distilling Model Failures as Directions in Latent Space
Saachi Jain, Hannah Lawrence, Ankur Moitra et al.
Distributed Differential Privacy in Multi-Armed Bandits
Sayak Ray Chowdhury, Xingyu Zhou
Distributed Extra-gradient with Optimal Complexity and Communication Guarantees
Ali Ramezani-Kebrya, Kimon Antonakopoulos, Igor Krawczuk et al.
Distributionally Robust Post-hoc Classifiers under Prior Shifts
Jiaheng Wei, Harikrishna Narasimhan, Ehsan Amid et al.
Distributionally Robust Recourse Action
Duy Nguyen, Ngoc Bui, Viet Anh Nguyen
Distributional Meta-Gradient Reinforcement Learning
Haiyan Yin, Shuicheng YAN, Zhongwen Xu
Diversify and Disambiguate: Out-of-Distribution Robustness via Disagreement
Yoonho Lee, Huaxiu Yao, Chelsea Finn
Divide to Adapt: Mitigating Confirmation Bias for Domain Adaptation of Black-Box Predictors
Jianfei Yang, Xiangyu Peng, Kai Wang et al.
DM-NeRF: 3D Scene Geometry Decomposition and Manipulation from 2D Images
Bing WANG, Lu Chen, Bo Yang
DocPrompting: Generating Code by Retrieving the Docs
Shuyan Zhou, Uri Alon, Frank F. Xu et al.
Does Deep Learning Learn to Abstract? A Systematic Probing Framework
Shengnan An, Zeqi Lin, Bei Chen et al.
Does Learning from Decentralized Non-IID Unlabeled Data Benefit from Self Supervision?
Lirui Wang, Kaiqing Zhang, Yunzhu Li et al.