Papers
DeTrack: In-model Latent Denoising Learning for Visual Object Tracking
Xinyu Zhou, Jinglun Li, Lingyi Hong et al.
DevBench: A multimodal developmental benchmark for language learning
Alvin W. M. Tan, Sunny Yu, Bria Long et al.
DF40: Toward Next-Generation Deepfake Detection
Zhiyuan Yan, Taiping Yao, Shen Chen et al.
DFA-GNN: Forward Learning of Graph Neural Networks by Direct Feedback Alignment
Gongpei Zhao, Tao Wang, Congyan Lang et al.
DG-SLAM: Robust Dynamic Gaussian Splatting SLAM with Hybrid Pose Optimization
Yueming Xu, Haochen Jiang, Zhongyang Xiao et al.
DHA: Learning Decoupled-Head Attention from Transformer Checkpoints via Adaptive Heads Fusion
Yilong Chen, Linhao Zhang, Junyuan Shang et al.
DiffAug: A Diffuse-and-Denoise Augmentation for Training Robust Classifiers
Chandramouli S. Sastry, Sri Harsha Dumpala, Sageev Oore
DiffCut: Catalyzing Zero-Shot Semantic Segmentation with Diffusion Features and Recursive Normalized Cut
Paul Couairon, Mustafa Shukor, Jean-Emmanuel Haugeard et al.
Diffeomorphic interpolation for efficient persistence-based topological optimization
Mathieu Carrière, Marc Theveneau, Théo Lacombe
Diff-eRank: A Novel Rank-Based Metric for Evaluating Large Language Models
Lai Wei, Zhiquan Tan, Chenghai Li et al.
Differentiable Modal Synthesis for Physical Modeling of Planar String Sound and Motion Simulation
Jin Woo Lee, Jaehyun Park, Min Jun Choi et al.
Differentiable Quantum Computing for Large-scale Linear Control
Connor Clayton, Jiaqi Leng, Gengzhi Yang et al.
Differentiable Structure Learning with Partial Orders
Taiyu Ban, Lyuzhou Chen, Xiangyu Wang et al.
Differentiable Task Graph Learning: Procedural Activity Representation and Online Mistake Detection from Egocentric Videos
Luigi Seminara, Giovanni Maria Farinella, Antonino Furnari
Differentially Private Equivalence Testing for Continuous Distributions and Applications
Daniel Omer, Or Sheffet
Differentially Private Graph Diffusion with Applications in Personalized PageRanks
Rongzhe Wei, Eli Chien, Pan Li
Differentially Private Optimization with Sparse Gradients
Badih Ghazi, Cristóbal Guzmán, Pritish Kamath et al.
Differentially Private Reinforcement Learning with Self-Play
Dan Qiao, Yu-Xiang Wang
Differentially Private Set Representations
Sarvar Patel, Giuseppe Persiano, Joon Young Seo et al.
Differentially Private Stochastic Gradient Descent with Fixed-Size Minibatches: Tighter RDP Guarantees with or without Replacement
Jeremiah Birrell, Reza Ebrahimi, Rouzbeh Behnia et al.
Differential Privacy in Scalable General Kernel Learning via $K$-means Nystr{\"o}m Random Features
Bonwoo Lee, Jeongyoun Ahn, Cheolwoo Park
DiffGS: Functional Gaussian Splatting Diffusion
Junsheng Zhou, Weiqi Zhang, Yu-Shen Liu
DiffHammer: Rethinking the Robustness of Diffusion-Based Adversarial Purification
Kaibo Wang, Xiaowen Fu, Yuxuan Han et al.
DiffLight: A Partial Rewards Conditioned Diffusion Model for Traffic Signal Control with Missing Data
Hanyang Chen, Yang Jiang, Shengnan Guo et al.
DiffNorm: Self-Supervised Normalization for Non-autoregressive Speech-to-speech Translation
Weiting Tan, Jingyu Zhang, Lingfeng Shen et al.