Papers
11,955 papers found
Deep Reinforcement Learning Guided Improvement Heuristic for Job Shop Scheduling
Cong Zhang, Zhiguang Cao, Wen Song et al.
Deep Reward Supervisions for Tuning Text-to-Image Diffusion Models
Xiaoshi Wu, Yiming Hao, Manyuan Zhang et al.
Deep SE(3)-Equivariant Geometric Reasoning for Precise Placement Tasks
Ben Eisner, Yi Yang, Todor Davchev et al.
DeepSPF: Spherical SO(3)-Equivariant Patches for Scan-to-CAD Estimation
Driton Salihu, Adam Misik, Yuankai Wu et al.
Deep Temporal Graph Clustering
Meng Liu, Yue Liu, KE LIANG et al.
DeepZero: Scaling Up Zeroth-Order Optimization for Deep Model Training
Aochuan Chen, Yimeng Zhang, Jinghan Jia et al.
Defining and extracting generalizable interaction primitives from DNNs
Lu Chen, Siyu Lou, Benhao Huang et al.
Defining Expertise: Applications to Treatment Effect Estimation
Alihan Hüyük, Qiyao Wei, Alicia Curth et al.
Delphic Offline Reinforcement Learning under Nonidentifiable Hidden Confounding
Alizée Pace, Hugo Yèche, Bernhard Schölkopf et al.
Delta-AI: Local objectives for amortized inference in sparse graphical models
Jean-Pierre René Falet, Hae Beom Lee, Nikolay Malkin et al.
Democratizing Direct-to-Cell Low Earth Orbit Satellite Networks
Lixin Liu, Yuanjie Li, Hewu Li et al.
Democratizing Fine-grained Visual Recognition with Large Language Models
Mingxuan Liu, Subhankar Roy, Wenjing Li et al.
DeMo: Decoupling Motion Forecasting into Directional Intentions and Dynamic States
Bozhou Zhang, Nan Song, Li Zhang
Demonstration-Regularized RL
Daniil Tiapkin, Denis Belomestny, Daniele Calandriello et al.
Demystifying CLIP Data
Hu Xu, Saining Xie, Xiaoqing Tan et al.
Demystifying Embedding Spaces using Large Language Models
Guy Tennenholtz, Yinlam Chow, ChihWei Hsu et al.
Demystifying Linear MDPs and Novel Dynamics Aggregation Framework
Joongkyu Lee, Min-hwan Oh
Demystifying Local & Global Fairness Trade-offs in Federated Learning Using Partial Information Decomposition
Faisal Hamman, Sanghamitra Dutta
Demystifying Poisoning Backdoor Attacks from a Statistical Perspective
Ganghua Wang, Xun Xian, Ashish Kundu et al.
DENEVIL: TOWARDS DECIPHERING AND NAVIGATING THE ETHICAL VALUES OF LARGE LANGUAGE MODELS VIA INSTRUCTION LEARNING
Shitong Duan, Xiaoyuan Yi, Peng Zhang et al.
Denoising Diffusion Bridge Models
Linqi Zhou, Aaron Lou, Samar Khanna et al.
Denoising Diffusion Step-aware Models
Shuai Yang, Yukang Chen, Luozhou Wang et al.
Denoising Diffusion via Image-Based Rendering
Titas Anciukevičius, Fabian Manhardt, Federico Tombari et al.
Denoising Task Routing for Diffusion Models
Byeongjun Park, Sangmin Woo, Hyojun Go et al.
Denoising Vision Transformers
Jiawei Yang, Katie Z Luo, Jiefeng Li et al.