Papers
Diagnostics-Guided Explanation Generation
Pepa Atanasova, Jakob Grue Simonsen, Christina Lioma et al.
DialogLM: Pre-trained Model for Long Dialogue Understanding and Summarization
Ming Zhong, Yang Liu, Yichong Xu et al.
Differential Assessment of Black-Box AI Agents
Rashmeet Kaur Nayyar, Pulkit Verma, Siddharth Srivastava
Differentially Describing Groups of Graphs
Corinna Coupette, Sebastian Dalleiger, Jilles Vreeken
Differentially Private Normalizing Flows for Synthetic Tabular Data Generation
Jaewoo Lee, Minjung Kim, Yonghyun Jeong et al.
Differentially Private Regret Minimization in Episodic Markov Decision Processes
Sayak Ray Chowdhury, Xingyu Zhou
DiffSinger: Singing Voice Synthesis via Shallow Diffusion Mechanism
Jinglin Liu, Chengxi Li, Yi Ren et al.
Dimensionality and Coordination in Voting: The Distortion of STV
Ioannis Anagnostides, Dimitris Fotakis, Panagiotis Patsilinakos
DiPS: Differentiable Policy for Sketching in Recommender Systems
Aritra Ghosh, Saayan Mitra, Andrew Lan
Directed Graph Auto-Encoders
Georgios Kollias, Vasileios Kalantzis, Tsuyoshi Ide et al.
DIRL: Domain-Invariant Representation Learning for Generalizable Semantic Segmentation
Qi Xu, Liang Yao, Zhengkai Jiang et al.
Discovering Interpretable Data-to-Sequence Generators
Boris Wiegand, Dietrich Klakow, Jilles Vreeken
Discovering State and Action Abstractions for Generalized Task and Motion Planning
Aidan Curtis, Tom Silver, Joshua B. Tenenbaum et al.
DisenCite: Graph-Based Disentangled Representation Learning for Context-Specific Citation Generation
Yifan Wang, Yiping Song, Shuai Li et al.
Disentangled Spatiotemporal Graph Generative Models
Yuanqi Du, Xiaojie Guo, Hengning Cao et al.
Dist2Cycle: A Simplicial Neural Network for Homology Localization
Alexandros D Keros, Vidit Nanda, Kartic Subr
Distillation of RL Policies with Formal Guarantees via Variational Abstraction of Markov Decision Processes
Florent Delgrange, Ann Nowé, Guillermo A. Pérez
Distinguishing Homophenes Using Multi-Head Visual-Audio Memory for Lip Reading
Minsu Kim, Jeong Hun Yeo, Yong Man Ro
DISTREAL: Distributed Resource-Aware Learning in Heterogeneous Systems
Martin Rapp, Ramin Khalili, Kilian Pfeiffer et al.
Distributed Learning with Strategic Users: A Repeated Game Approach
Abdullah B Akbay, Junshan Zhang
Distributed Randomized Sketching Kernel Learning
Rong Yin, Yong Liu, Dan Meng
Distribution Aware VoteNet for 3D Object Detection
Junxiong Liang, Pei An, Jie Ma
Diverse, Global and Amortised Counterfactual Explanations for Uncertainty Estimates
Dan Ley, Umang Bhatt, Adrian Weller
Divide-and-Regroup Clustering for Domain Adaptive Person Re-identification
Zhengdong Hu, Yifan Sun, Yi Yang et al.
DKPLM: Decomposable Knowledge-Enhanced Pre-trained Language Model for Natural Language Understanding
Taolin Zhang, Chengyu Wang, Nan Hu et al.