Poster Papers
24,624 papers found • Page 68 of 493
Conference
Differentiable Structure Learning and Causal Discovery for General Binary Data
Chang Deng, Bryon Aragam
Differentiable Structure Learning with Ancestral Constraints
Taiyu Ban, Changxin Rong, Xiangyu Wang et al.
Differential Coding for Training-Free ANN-to-SNN Conversion
Zihan Huang, Wei Fang, Tong Bu et al.
Differential-informed Sample Selection Accelerates Multimodal Contrastive Learning
Zihua Zhao, Feng Hong, Mengxi Chen et al.
Differential learning kinetics govern the transition from memorization to generalization during in-context learning
Alex Nguyen, Gautam Reddy Nallamala
Differentially Private Analysis for Binary Response Models: Optimality, Estimation, and Inference
Ce Zhang, Yixin Han, Yafei Wang et al.
Differentially Private Bilevel Optimization: Efficient Algorithms with Near-Optimal Rates
Andrew Lowy, Daogao Liu
Differentially Private Boxplots
Kelly Ramsay, Jairo Diaz-Rodriguez
Differentially Private Federated $k$-Means Clustering with Server-Side Data
Jonathan Scott, Christoph Lampert, David Saulpic
Differentially Private Federated Learning with Time-Adaptive Privacy Spending
Shahrzad Kianidehkordi, Nupur Kulkarni, Adam Dziedzic et al.
Differentially Private Federated Low Rank Adaptation Beyond Fixed-Matrix
Ming Wen, Jiaqi Zhu, Yuedong Xu et al.
Differentially Private Fine-Tuning of Diffusion Models
Yu-Lin Tsai, Yizhe Li, Zekai Chen et al.
Differentially Private Gomory-Hu Trees
Anders Aamand, Justin Chen, Mina Dalirrooyfard et al.
Differentially Private High-dimensional Variable Selection via Integer Programming
Petros Prastakos, Kayhan Behdin, Rahul Mazumder
Differentially private learners for heterogeneous treatment effects
Maresa Schröder, Valentyn Melnychuk, Stefan Feuerriegel
Differentially private optimization for non-decomposable objective functions
Weiwei Kong, Andres Munoz medina, Mónica Ribero
Differentially Private Quantiles with Smaller Error
Jacob Imola, Fabrizio Boninsegna, Hannah Keller et al.
Differentially Private Relational Learning with Entity-level Privacy Guarantees
Yinan Huang, Haoteng Yin, Eli Chien et al.
Differentially Private Space-Efficient Algorithms for Counting Distinct Elements in the Turnstile Model
Rachel Cummings, Alessandro Epasto, Jieming Mao et al.
Differentially Private Steering for Large Language Model Alignment
Anmol Goel, Yaxi Hu, Iryna Gurevych et al.
Differential Privacy for Euclidean Jordan Algebra with Applications to Private Symmetric Cone Programming
Zhao Song, Jianfei Xue, Lichen Zhang
Differential Privacy Guarantees of Markov Chain Monte Carlo Algorithms
Andrea Bertazzi, Tim Johnston, Gareth Roberts et al.
Differential Privacy Under Class Imbalance: Methods and Empirical Insights
Lucas Rosenblatt, Yuliia Lut, Ethan Turok et al.
Differential Transformer
Tianzhu Ye, Li Dong, Yuqing Xia et al.
Differentiation and Specialization of Attention Heads via the Refined Local Learning Coefficient
George Wang, Jesse Hoogland, Stan van Wingerden et al.
Differentiation Through Black-Box Quadratic Programming Solvers
Connor Magoon, Fengyu Yang, Noam Aigerman et al.
DiffEye: Diffusion-Based Continuous Eye-Tracking Data Generation Conditioned on Natural Images
Ozgur Kara, Harris Nisar, James Rehg
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.
Diff-ICMH: Harmonizing Machine and Human Vision in Image Compression with Generative Prior
Ruoyu Feng, Yunpeng Qi, Jinming Liu et al.
DiffIP: Representation Fingerprints for Robust IP Protection of Diffusion Models
Zhuoling Li, Haoxuan Qu, Jason Kuen et al.
DiffLocks: Generating 3D Hair from a Single Image using Diffusion Models
Radu Alexandru Rosu, Keyu Wu, Yao Feng et al.
DiffLO: Semantic-Aware LiDAR Odometry with Diffusion-Based Refinement
huang yongshu, Chen Liu, Minghang Zhu et al.
DiffMS: Diffusion Generation of Molecules Conditioned on Mass Spectra
Montgomery Bohde, Mrunali Manjrekar, Runzhong Wang et al.
Diff-Palm: Realistic Palmprint Generation with Polynomial Creases and Intra-Class Variation Controllable Diffusion Models
Jianlong Jin, Chenglong Zhao, Ruixin Zhang et al.
DiffPC: Diffusion-based High Perceptual Fidelity Image Compression with Semantic Refinement
Yichong Xia, Yimin Zhou, Jinpeng Wang et al.
DiffPCI: Large Motion Point Cloud frame Interpolation with Diffusion Model
tianyu zhang, Haobo Jiang, jian Yang et al.
Diff-PIC: Revolutionizing Particle-In-Cell Nuclear Fusion Simulation with Diffusion Models
Chuan Liu, Chunshu Wu, shihui cao et al.
DiffPortrait360: Consistent Portrait Diffusion for 360 View Synthesis
Yuming Gu, Phong Tran, Yujian Zheng et al.
Diff-Prompt: Diffusion-driven Prompt Generator with Mask Supervision
Weicai Yan, Wang Lin, Zirun Guo et al.
DiffPuter: Empowering Diffusion Models for Missing Data Imputation
Hengrui Zhang, Liancheng Fang, Qitian Wu et al.
DiffSensei: Bridging Multi-Modal LLMs and Diffusion Models for Customized Manga Generation
Jianzong Wu, Chao Tang, Jingbo Wang et al.
DiffSim: Taming Diffusion Models for Evaluating Visual Similarity
Yiren Song, Xiaokang Liu, Mike Zheng Shou
DiffSplat: Repurposing Image Diffusion Models for Scalable Gaussian Splat Generation
Chenguo Lin, Panwang Pan, Bangbang Yang et al.
DIFFSSR: Stereo Image Super-resolution Using Differential Transformer
Dafeng Zhang
DiffTell: A High-Quality Dataset for Describing Image Manipulation Changes
Zonglin Di, Jing Shi, Yifei Fan et al.
Diffuman4D: 4D Consistent Human View Synthesis from Sparse-View Videos with Spatio-Temporal Diffusion Models
Yudong Jin, Sida Peng, Xuan Wang et al.
DiffuMatch: Category-Agnostic Spectral Diffusion Priors for Robust Non-rigid Shape Matching
Emery Pierson, Lei Li, Angela Dai et al.
Diffuse Everything: Multimodal Diffusion Models on Arbitrary State Spaces
Kevin Rojas, Yuchen Zhu, Sichen Zhu et al.
Diffusing DeBias: Synthetic Bias Amplification for Model Debiasing
Massimiliano Ciranni, Vito Paolo Pastore, Roberto Di Via et al.