Papers
Differentially Private Learning Needs Better Model Initialization and Self-Distillation
Ivoline C. Ngong, Joseph Near, Niloofar Mireshghallah
Differentially Private Multivariate Medians
Kelly Ramsay, Aukosh Jagannath, Shoja'eddin Chenouri
Differentially private optimization for non-decomposable objective functions
Weiwei Kong, Andres Munoz medina, Mónica Ribero
Differentially Private Prototypes for Imbalanced Transfer Learning
Dariush Wahdany, Matthew Jagielski, Adam Dziedzic et al.
Differentially Private Steering for Large Language Model Alignment
Anmol Goel, Yaxi Hu, Iryna Gurevych et al.
Differential Mamba
Nadav Schneider, Itamar Zimerman, Eliya Nachmani
Differential Mamba
Nadav Schneider, Itamar Zimerman, Eliya Nachmani
Differential Privacy Mechanisms in Neural Tangent Kernel Regression
Jiuxiang Gu, Yingyu Liang, Zhizhou Sha et al.
Differential Private Stochastic Optimization with Heavy-tailed Data: Towards Optimal Rates
Puning Zhao, Jiafei Wu, Zhe Liu et al.
Differential Transformer
Tianzhu Ye, Li Dong, Yuqing Xia et al.
Differentiated Vision: Unveiling Entity-Specific Visual Modality Requirements for Multimodal Knowledge Graph
Minghang Liu, Yinghan Shen, Zihe Huang et al.
Differentiation and Specialization of Attention Heads via the Refined Local Learning Coefficient
George Wang, Jesse Hoogland, Stan van Wingerden et al.
Different Speech Translation Models Encode and Translate Speaker Gender Differently
Dennis Fucci, Marco Gaido, Matteo Negri et al.
DiffExp: Efficient Exploration in Reward Fine-tuning for Text-to-Image Diffusion Models
Daewon Chae, June Suk Choi, Jinkyu Kim et al.
DiffFERV: Diffusion-based Facial Editing of Real Videos
Xiangyi Chen, Han Xue, Li Song
DiffFNO: Diffusion Fourier Neural Operator
Xiaoyi Liu, Hao Tang
DiffGAD: A Diffusion-based Unsupervised Graph Anomaly Detector
Jinghan Li, Yuan Gao, Jinda Lu et al.
DiffGrasp: Whole-Body Grasping Synthesis Guided by Object Motion Using a Diffusion Model
Yonghao Zhang, Qiang He, Yanguang Wan et al.
Difficulty-aware Balancing Margin Loss for Long-tailed Recognition
Minseok Son, Inyong Koo, Jinyoung Park et al.
Difficulty Diversity and Plausibility: Dynamic Data-Free Quantization
Cheeun Hong, Sungyong Baik, Junghun Oh et al.
Difficulty Estimation in Natural Language Tasks with Action Scores
Aleksandar Angelov, Tsegaye Misikir Tashu, Matias Valdenegro-Toro
DiffIM: Differentiable Influence Minimization with Surrogate Modeling and Continuous Relaxation
Junghun Lee, Hyunju Kim, Fanchen Bu et al.
DiffIP: Representation Fingerprints for Robust IP Protection of Diffusion Models
Zhuoling Li, Haoxuan Qu, Jason Kuen et al.
DiffLM: Controllable Synthetic Data Generation via Diffusion Language Models
Ying Zhou, Xinyao Wang, Yulei Niu et al.
Diff-LMM: Diffusion Teacher-Guided Spatio-Temporal Perception for Video Large Multimodal Models
Jisheng Dang, Ligen Chen, Jingze Wu et al.