Papers
11,015 papers found
Don't Trust: Verify -- Grounding LLM Quantitative Reasoning with Autoformalization
Jin Peng Zhou, Charles E Staats, Wenda Li et al.
DORSal: Diffusion for Object-centric Representations of Scenes $\textit{et al.}$
Allan Jabri, Sjoerd van Steenkiste, Emiel Hoogeboom et al.
DOS: Diverse Outlier Sampling for Out-of-Distribution Detection
Wenyu Jiang, Hao Cheng, MingCai Chen et al.
Doubly Robust Instance-Reweighted Adversarial Training
Daouda Sow, Sen Lin, Zhangyang Wang et al.
Doubly Robust Proximal Causal Learning for Continuous Treatments
Yong Wu, Yanwei Fu, Shouyan Wang et al.
DP-OPT: Make Large Language Model Your Privacy-Preserving Prompt Engineer
Junyuan Hong, Jiachen T. Wang, Chenhui Zhang et al.
DP-SGD Without Clipping: The Lipschitz Neural Network Way
Louis Béthune, Thomas Massena, Thibaut Boissin et al.
DQ-LoRe: Dual Queries with Low Rank Approximation Re-ranking for In-Context Learning
Jing Xiong, Zixuan Li, Chuanyang Zheng et al.
DragonDiffusion: Enabling Drag-style Manipulation on Diffusion Models
Chong Mou, Xintao Wang, Jiechong Song et al.
DreamClean: Restoring Clean Image Using Deep Diffusion Prior
Jie Xiao, Ruili Feng, Han Zhang et al.
DreamCraft3D: Hierarchical 3D Generation with Bootstrapped Diffusion Prior
Jingxiang Sun, Bo Zhang, Ruizhi Shao et al.
DREAM: Dual Structured Exploration with Mixup for Open-set Graph Domain Adaption
Nan Yin, Mengzhu Wang, Zhenghan Chen et al.
DreamFlow: High-quality text-to-3D generation by Approximating Probability Flow
Kyungmin Lee, Kihyuk Sohn, Jinwoo Shin
DreamGaussian: Generative Gaussian Splatting for Efficient 3D Content Creation
Jiaxiang Tang, Jiawei Ren, Hang Zhou et al.
DreamLLM: Synergistic Multimodal Comprehension and Creation
Runpei Dong, Chunrui Han, Yuang Peng et al.
DreamSmooth: Improving Model-based Reinforcement Learning via Reward Smoothing
Vint Lee, Pieter Abbeel, Youngwoon Lee
DreamTime: An Improved Optimization Strategy for Diffusion-Guided 3D Generation
Yukun Huang, Jianan Wang, Yukai Shi et al.
DrM: Mastering Visual Reinforcement Learning through Dormant Ratio Minimization
Guowei Xu, Ruijie Zheng, Yongyuan Liang et al.
Dropout-Based Rashomon Set Exploration for Efficient Predictive Multiplicity Estimation
Hsiang Hsu, Guihong Li, Shaohan Hu et al.
Dropout Enhanced Bilevel Training
Peiran Yu, Junyi Li, Heng Huang
DrS: Learning Reusable Dense Rewards for Multi-Stage Tasks
Tongzhou Mu, Minghua Liu, Hao Su
DRSM: De-Randomized Smoothing on Malware Classifier Providing Certified Robustness
Shoumik Saha, Wenxiao Wang, Yigitcan Kaya et al.
DSPy: Compiling Declarative Language Model Calls into State-of-the-Art Pipelines
Omar Khattab, Arnav Singhvi, Paridhi Maheshwari et al.
Dual Associated Encoder for Face Restoration
YU-JU TSAI, Yu-Lun Liu, Lu Qi et al.
Dual-Encoders for Extreme Multi-label Classification
Nilesh Gupta, Fnu Devvrit, Ankit Singh Rawat et al.