Papers
Dealing with Synthetic Data Contamination in Online Continual Learning
Maorong Wang, Nicolas Michel, Jiafeng Mao et al.
DeBaRA: Denoising-Based 3D Room Arrangement Generation
Léopold Maillard, Nicolas Sereyjol-Garros, Tom Durand et al.
Debiasing Synthetic Data Generated by Deep Generative Models
Alexander Decruyenaere, Heidelinde Dehaene, Paloma Rabaey et al.
Decentralized Noncooperative Games with Coupled Decision-Dependent Distributions
Wenjing Yan, Xuanyu Cao
Decision-Focused Learning with Directional Gradients
Vishal Gupta, Michael Huang
Decision-Making Behavior Evaluation Framework for LLMs under Uncertain Context
Jingru Jia, Zehua Yuan, Junhao Pan et al.
Decision Mamba: A Multi-Grained State Space Model with Self-Evolution Regularization for Offline RL
Qi Lv, Xiang Deng, Gongwei Chen et al.
Decision Mamba: Reinforcement Learning via Hybrid Selective Sequence Modeling
Sili Huang, Jifeng Hu, Zhejian Yang et al.
DECO-Bench: Unified Benchmark for Decoupled Task-Agnostic Synthetic Data Release
Farzaneh Askari, Lingjuan Lyu, Vivek Sharma
Decoding-Time Language Model Alignment with Multiple Objectives
Ruizhe Shi, Yifang Chen, Yushi Hu et al.
Decomposable Transformer Point Processes
Aristeidis Panos
Decompose, Analyze and Rethink: Solving Intricate Problems with Human-like Reasoning Cycle
Shangzi Xue, Zhenya Huang, Jiayu Liu et al.
Decomposed Prompt Decision Transformer for Efficient Unseen Task Generalization
Hongling Zheng, Li Shen, Yong Luo et al.
Decomposing and Interpreting Image Representations via Text in ViTs Beyond CLIP
Sriram Balasubramanian, Samyadeep Basu, Soheil Feizi
Decoupled Kullback-Leibler Divergence Loss
Jiequan Cui, Zhuotao Tian, Zhisheng Zhong et al.
Decoupling Semantic Similarity from Spatial Alignment for Neural Networks.
Tassilo Wald, Constantin Ulrich, Gregor Köhler et al.
Deep Bayesian Active Learning for Preference Modeling in Large Language Models
Luckeciano C. Melo, Panagiotis Tigas, Alessandro Abate et al.
Deep Correlated Prompting for Visual Recognition with Missing Modalities
Lianyu Hu, Tongkai Shi, Wei Feng et al.
DeepDRK: Deep Dependency Regularized Knockoff for Feature Selection
Hongyu Shen, Yici Yan, Zhizhen Zhao
Deep Equilibrium Algorithmic Reasoning
Dobrik Georgiev, JJ Wilson, Davide Buffelli et al.
Deep Graph Mating
Yongcheng Jing, Seok-Hee Hong, Dacheng Tao
Deep Graph Neural Networks via Posteriori-Sampling-based Node-Adaptative Residual Module
Jingbo Zhou, Yixuan Du, Ruqiong Zhang et al.
Deep Homomorphism Networks
Takanori Maehara, Hoang NT
DeepITE: Designing Variational Graph Autoencoders for Intervention Target Estimation
Hongyuan Tao, Hang Yu, Jianguo Li