All Papers
34,598 papers found • Page 96 of 692
Conference
DICE: Staleness-Centric Optimizations for Parallel Diffusion MoE Inference
Jiajun Luo, Lizhuo Luo, Jianru Xu et al.
DiCoFlex: Model-Agnostic Diverse Counterfactuals with Flexible Control
Oleksii Furman, Ulvi Movsum-zada, Patryk Marszałek et al.
DiCo: Revitalizing ConvNets for Scalable and Efficient Diffusion Modeling
Yuang Ai, Qihang Fan, Xuefeng Hu et al.
DiC: Rethinking Conv3x3 Designs in Diffusion Models
Yuchuan Tian, Jing Han, Chengcheng Wang et al.
DictAS: A Framework for Class-Generalizable Few-Shot Anomaly Segmentation via Dictionary Lookup
Zhen Qu, Xian Tao, Xinyi Gong et al.
DictPFL: Efficient and Private Federated Learning on Encrypted Gradients
Jiaqi Xue, Mayank Kumar, Yuzhang Shang et al.
DIDiffGes: Decoupled Semi-Implicit Diffusion Models for Real-time Gesture Generation from Speech
Yongkang Cheng, Shaoli Huang, Xuelin Chen et al.
DiEP: Adaptive Mixture-of-Experts Compression through Differentiable Expert Pruning
Sikai Bai, Haoxi Li, Jie ZHANG et al.
DiET-GS: Diffusion Prior and Event Stream-Assisted Motion Deblurring 3D Gaussian Splatting
Seungjun Lee, Gim Hee Lee
Diff2Flow: Training Flow Matching Models via Diffusion Model Alignment
Johannes Schusterbauer, Ming Gui, Frank Fundel et al.
Diff2I2P: Differentiable Image-to-Point Cloud Registration with Diffusion Prior
Juncheng Mu, Chengwei REN, Weixiang Zhang et al.
Diff-2-in-1: Bridging Generation and Dense Perception with Diffusion Models
Shuhong Zheng, Zhipeng Bao, Ruoyu Zhao et al.
Diff3DS: Generating View-Consistent 3D Sketch via Differentiable Curve Rendering
Yibo Zhang, Lihong Wang, Changqing Zou et al.
DiffAdvMAP: Flexible Diffusion-Based Framework for Generating Natural Unrestricted Adversarial Examples
Zhengzhao Pan, Hua Chen, Xiaogang Zhang
DiffBreak: Is Diffusion-Based Purification Robust?
Andre Kassis, Urs Hengartner, Yaoliang Yu
DiffCalib: Reformulating Monocular Camera Calibration as Diffusion-Based Dense Incident Map Generation
Xiankang He, Guangkai Xu, Bo Zhang et al.
DiffCAM: Data-Driven Saliency Maps by Capturing Feature Differences
Xingjian Li, Qiming Zhao, Neelesh Bisht et al.
DiffCLIP: Few-shot Language-driven Multimodal Classifier
Jiaqing Zhang, Mingxiang Cao, Xue Yang et al.
DiffCorr: Conditional Diffusion Model with Reliable Pseudo-Label Guidance for Unsupervised Point Cloud Shape Correspondence
Jiacheng Deng, Jiahao Lu, Zhixin Cheng et al.
DiffDoctor: Diagnosing Image Diffusion Models Before Treating
Yiyang Wang, Xi Chen, Xiaogang Xu et al.
DiffDVC: Accurate Event Detection for Dense Video Captioning via Diffusion Models
Wei Chen, Jianwei Niu, Xuefeng Liu et al.
DiffE2E: Rethinking End-to-End Driving with a Hybrid Diffusion-Regression-Classification Policy
Rui Zhao, Yuze Fan, Ziguo Chen et al.
DIFFER: Disentangling Identity Features via Semantic Cues for Clothes-Changing Person Re-ID
Xin Liang, Yogesh S. Rawat
Difference Inversion: Interpolate and Isolate the Difference with Token Consistency for Image Analogy Generation
Hyunsoo Kim, Donghyun Kim, Suhyun Kim
Difference-of-submodular Bregman Divergence
Masanari Kimura, Takahiro Kawashima, Tasuku Soma et al.
Differentiable Adversarial Attacks for Marked Temporal Point Processes
Pritish Chakraborty, Vinayak Gupta, Rahul R et al.
Differentiable and Learnable Wireless Simulation with Geometric Transformers
Thomas Hehn, Markus Peschl, Tribhuvanesh Orekondy et al.
Differentiable Causal Discovery for Latent Hierarchical Causal Models
Parjanya Prashant, Ignavier Ng, Kun Zhang et al.
Differentiable Constraint-Based Causal Discovery
Jincheng Zhou, Mengbo Wang, Anqi He et al.
Differentiable Cyclic Causal Discovery Under Unmeasured Confounders
Muralikrishnna Guruswamy Sethuraman, Faramarz Fekri
Differentiable Decision Tree via "ReLU+Argmin" Reformulation
Qiangqiang Mao, Jiayang Ren, Yixiu Wang et al.
Differentiable extensions with rounding guarantees for combinatorial optimization over permutations
Robert (Riley) Nerem, Zhishang Luo, Akbar Rafiey et al.
Differentiable Generalized Sliced Wasserstein Plans
Laetitia Chapel, Romain Tavenard, Samuel Vaiter
Differentiable Hierarchical Visual Tokenization
Marius Aasan, Martine Hjelkrem Tan, Nico Catalano et al.
Differentiable Information Enhanced Model-Based Reinforcement Learning
Xiaoyuan Zhang, Xinyan Cai, Bo Liu et al.
Differentiable Integer Linear Programming
Zijie Geng, Jie Wang, Xijun Li et al.
Differentiable Inverse Rendering with Interpretable Basis BRDFs
Hoon-Gyu Chung, Seokjun Choi, Seung-Hwan Baek
Differentiable Optimization of Similarity Scores Between Models and Brains
Nathan Cloos, Moufan Li, Markus Siegel et al.
Differentiable Quadratic Optimization For the Maximum Independent Set Problem
Ismail Alkhouri, Cedric Le Denmat, Yingjie Li et al.
Differentiable Room Acoustic Rendering with Multi-View Vision Priors
Derong Jin, Ruohan Gao
Differentiable Rule Induction from Raw Sequence Inputs
Kun Gao, Katsumi Inoue, Yongzhi Cao et al.
Differentiable Solver Search for Fast Diffusion Sampling
shuai wang, Zexian Li, Qipeng zhang et al.
Differentiable Sparsity via $D$-Gating: Simple and Versatile Structured Penalization
Chris Kolb, Laetitia Frost, Bernd Bischl et al.
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 Alignment for Domain Adaptive Object Detection
Xinyu He, Xinhui Li, Xiaojie Guo
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.