Papers
Detail-Preserving Transformer for Light Field Image Super-resolution
Shunzhou Wang, Tianfei Zhou, Yao Lu et al.
DeTarNet: Decoupling Translation and Rotation by Siamese Network for Point Cloud Registration
Zhi Chen, Fan Yang, Wenbing Tao
Detecting Human-Object Interactions with Object-Guided Cross-Modal Calibrated Semantics
Hangjie Yuan, Mang Wang, Dong Ni et al.
Detecting Misclassification Errors in Neural Networks with a Gaussian Process Model
Xin Qiu, Risto Miikkulainen
Deterministic and Discriminative Imitation (D2-Imitation): Revisiting Adversarial Imitation for Sample Efficiency
Mingfei Sun, Sam Devlin, Katja Hofmann et al.
DetIE: Multilingual Open Information Extraction Inspired by Object Detection
Michael Vasilkovsky, Anton Alekseev, Valentin Malykh et al.
DevianceNet: Learning to Predict Deviance from a Large-Scale Geo-Tagged Dataset
Jin-Hwi Park, Young-Jae Park, Junoh Lee et al.
Diaformer: Automatic Diagnosis via Symptoms Sequence Generation
Junying Chen, Dongfang Li, Qingcai Chen et al.
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