Papers
Diversity Maximization in the Presence of Outliers
Daichi Amagata
DM²: Decentralized Multi-Agent Reinforcement Learning via Distribution Matching
Caroline Wang, Ishan Durugkar, Elad Liebman et al.
DMIS: Dynamic Mesh-Based Importance Sampling for Training Physics-Informed Neural Networks
Zijiang Yang, Zhongwei Qiu, Dongmei Fu
DNG: Taxonomy Expansion by Exploring the Intrinsic Directed Structure on Non-gaussian Space
Songlin Zhai, Weiqing Wang, Yuanfang Li et al.
DocEdit: Language-Guided Document Editing
Puneet Mathur, Rajiv Jain, Jiuxiang Gu et al.
Does It Pay to Optimize AUC?
Baojian Zhou, Steven Skiena
Does Knowing When Help Is Needed Improve Subgoal Hint Performance in an Intelligent Data-Driven Logic Tutor?
Nazia Alam, Mehak Maniktala, Behrooz Mostafavi et al.
Do Invariances in Deep Neural Networks Align with Human Perception?
Vedant Nanda, Ayan Majumdar, Camila Kolling et al.
Domain Adaptation with Adversarial Training on Penultimate Activations
Tao Sun, Cheng Lu, Haibin Ling
Domain-Adapted Dependency Parsing for Cross-Domain Named Entity Recognition
Chenxiao Dou, Xianghui Sun, Yaoshu Wang et al.
Domain Decorrelation with Potential Energy Ranking
Sen Pei, Jiaxi Sun, Richard Yi Da Xu et al.
Domain-General Crowd Counting in Unseen Scenarios
Zhipeng Du, Jiankang Deng, Miaojing Shi
Domain Generalised Faster R-CNN
Karthik Seemakurthy, Charles Fox, Erchan Aptoula et al.
Don’t Be So Sure! Boosting ASR Decoding via Confidence Relaxation
Tomer Wullach, Shlomo E. Chazan
Don’t Predict Counterfactual Values, Predict Expected Values Instead
Jeremiasz Wołosiuk, Maciej Świechowski, Jacek Mańdziuk
Doodle to Object: Practical Zero-Shot Sketch-Based 3D Shape Retrieval
Bingrui Wang, Yuan Zhou
Double Doubly Robust Thompson Sampling for Generalized Linear Contextual Bandits
Wonyoung Kim, Kyungbok Lee, Myunghee Cho Paik
Double Policy Network for Aspect Sentiment Triplet Extraction (Student Abstract)
Xuting Li, Daifeng Li, Ruo Du et al.
DPAUC: Differentially Private AUC Computation in Federated Learning
Jiankai Sun, Xin Yang, Yuanshun Yao et al.
DPText-DETR: Towards Better Scene Text Detection with Dynamic Points in Transformer
Maoyuan Ye, Jing Zhang, Shanshan Zhao et al.
DQ-DETR: Dual Query Detection Transformer for Phrase Extraction and Grounding
Shilong Liu, Shijia Huang, Feng Li et al.
Dream to Generalize: Zero-Shot Model-Based Reinforcement Learning for Unseen Visual Distractions
Jeongsoo Ha, Kyungsoo Kim, Yusung Kim
DRGCN: Dynamic Evolving Initial Residual for Deep Graph Convolutional Networks
Lei Zhang, Xiaodong Yan, Jianshan He et al.
Drop Clause: Enhancing Performance, Robustness and Pattern Recognition Capabilities of the Tsetlin Machine
Jivitesh Sharma, Rohan Yadav, Ole-Christoffer Granmo et al.
DropMessage: Unifying Random Dropping for Graph Neural Networks
Taoran Fang, Zhiqing Xiao, Chunping Wang et al.