Papers
Difference Vector Equalization for Robust Fine-tuning of Vision-Language Models
Satoshi Suzuki, Shin'ya Yamaguchi, Shoichiro Takeda et al.
Differentiable Semantic Meta-Learning Framework for Long-Tail Motion Forecasting in Autonomous Driving
Bin Rao, Chengyue Wang, Haicheng Liao et al.
Differentiable Sparse Identification of Lagrangian Dynamics
Zitong Zhang, Hao Sun
Differentially Private Linear Programming: Reduced Sub-Optimality and Guaranteed Constraint Satisfaction
Alexander Benvenuti, Brendan Bialy, Miriam Dennis et al.
Differentially Private Subspace Fine-Tuning for Large Language Models
Lele Zheng, Xiang Wang, Tao Zhang et al.
Differentiated Directional Intervention: A Framework for Evading LLM Safety Alignment
Peng Zhang, Peijie Sun
Difficulty-Aware Label-Guided Denoising for Monocular 3D Object Detection
Soyul Lee, Seungmin Baek, Dongbo Min
Difficulty-Aware Learning Curve Extrapolation
Mengyang Li, Pinlong Zhao
Difficulty Controlled Diffusion Model for Synthesizing Effective Training Data
Zerun Wang, Jiafeng Mao, Xueting Wang et al.
Difficulty Is Not Enough: Curriculum Learning for LLMs Fine-tuning Must Consider Utility
Zishang Jiang, Jinyi Han, Tingyun Li et al.
DiffMM: Efficient Method for Accurate Noisy and Sparse Trajectory Map Matching via One Step Diffusion
Chenxu Han, Sean Bin Yang, Jilin Hu
Diff-NAT: Better Naturalistic and Aggressive Adversarial Attacks via Class-Optimized Diffusion for Object Detection
Qinglong Yan, Tong Zou, Xunpeng Yi et al.
DiffNR: Diffusion-Enhanced Neural Representation Optimization for Sparse-View 3D Tomographic Reconstruction
Shiyan Su, Ruyi Zha, Danli Shi et al.
DiffOP: Reinforcement Learning of Optimization-Based Control Policies via Implicit Policy Gradients
Yuexin Bian, Jie Feng, Yuanyuan Shi
DiffRefiner: Coarse to Fine Trajectory Planning via Diffusion Refinement with Semantic Interaction for End to End Autonomous Driving
Liuhan Yin, Runkun Ju, Guodong Guo et al.
Diffusion-Assisted Progressive Learning for Weakly Supervised Phrase Localization
Pengyue Lin, Yanyang Hu, Xinjing Liu et al.
Diffusion-Based Contextual Reconstruction for Point Cloud Segmentation with Limited Annotations
Jiawei Lian, Zhengxue Wang, Wentao Qu et al.
Diffusion-based Personalized Pathology Disentanglement for Impaired Gait Analysis
Xiaoyue Wan, Xu Zhao
Diffusion-calibrated Continual Test-time Adaptation
Xu Yang, Moqi Li, Kun Wei
Diffusion Distillation with Direct Preference Optimization for Efficient 3D LiDAR Scene Completion
An Zhao, Shengyuan Zhang, Zejian Li et al.
Diffusion for Combating the Hallucination in Large Language Models (Student Abstract)
Hyojun Ahn, Joongheon Kim
Diffusion Implicit Policy for Unpaired Scene-aware Motion Synthesis
Jingyu Gong, Chong Zhang, Fengqi Liu et al.
Diffusion Model Based Signal Recovery Under 1-Bit Quantization
Youming Chen, Zhaoqiang Liu
Diffusion Once and Done: Degradation-Aware LoRA for All-in-One Image Restoration
Ni Tang, Xiaotong Luo, Zihan Cheng et al.
DiffusionPose: Markov-Optimized Diffusion Model for Human Pose Estimation
Zhigang Wang, Zhenguang Liu, Shaojing Fan et al.