ECML/PKDD (2)

Keyphrases

Publications

2023

Zhanglu Yan, Shida Wang, Kaiwen Tang, Weng-Fai Wong
Efficient Hyperdimensional Computing. ECML/PKDD (2) (2023)
Yu Zhang, Chuang Zhu, Guoqing Yang, Siqi Chen
Negative Prototypes Guided Contrastive Learning for Weakly Supervised Object Detection. ECML/PKDD (2) (2023)
Sandra Gilhuber, Rasmus Hvingelby, Mang Ling Ada Fok, Thomas Seidl
How to Overcome Confirmation Bias in Semi-Supervised Image Classification by Active Learning. ECML/PKDD (2) (2023)
Firas Laakom, Jenni Raitoharju, Alexandros Iosifidis, Moncef Gabbouj
Learning Distinct Features Helps, Provably. ECML/PKDD (2) (2023)
Qiqi Zhou, Yichen Zhu
Make a Long Image Short: Adaptive Token Length for Vision Transformers. ECML/PKDD (2) (2023)
François Hu, Philipp Ratz, Arthur Charpentier
Fairness in Multi-Task Learning via Wasserstein Barycenters. ECML/PKDD (2) (2023)
Alexander Rakowski, Christoph Lippert
DCID: Deep Canonical Information Decomposition. ECML/PKDD (2) (2023)
Eduardo Brandao, Stefan Duffner, Rémi Emonet, Amaury Habrard, François Jacquenet, Marc Sebban
Is My Neural Net Driven by the MDL Principle? ECML/PKDD (2) (2023)
Srinivas Anumasa, Geetakrishnasai Gunapati, P. K. Srijith
Continuous Depth Recurrent Neural Differential Equations. ECML/PKDD (2) (2023)
Zhaoyu Wang, Pingchuan Ma, Shuai Wang
Towards Practical Federated Causal Structure Learning. ECML/PKDD (2) (2023)
Riccardo Schiavone, Francesco Galati, Maria A. Zuluaga
Binary Domain Generalization for Sparsifying Binary Neural Networks. ECML/PKDD (2) (2023)
Hao Yan, Senzhang Wang, Jun Yin, Chaozhuo Li, Junxing Zhu, Jianxin Wang
Hierarchical Graph Contrastive Learning. ECML/PKDD (2) (2023)
Zhaochen Li, Kedian Mu
Meta-HRNet: A High Resolution Network for Coarse-to-Fine Few-Shot Classification. ECML/PKDD (2) (2023)
Hongjiang Chen, Pengfei Jiao, Huijun Tang, Huaming Wu
Temporal Graph Representation Learning with Adaptive Augmentation Contrastive. ECML/PKDD (2) (2023)
Shuxian Li, Liyan Song, Xiaoyu Wu, Zheng Hu, Yiu-ming Cheung, Xin Yao
ARConvL: Adaptive Region-Based Convolutional Learning for Multi-class Imbalance Classification. ECML/PKDD (2) (2023)
Timur Sudak, Sebastian Tschiatschek
Posterior Consistency for Missing Data in Variational Autoencoders. ECML/PKDD (2) (2023)
Shuyun Gu, Xiao Wang, Chuan Shi
Duplicate Multi-modal Entities Detection with Graph Contrastive Self-training Network. ECML/PKDD (2) (2023)
Wenkai Chen, Chuang Zhu, Mengting Li
Sample Prior Guided Robust Model Learning to Suppress Noisy Labels. ECML/PKDD (2) (2023)
Chenguang Xiao, Shuo Wang
Triplets Oversampling for Class Imbalanced Federated Datasets. ECML/PKDD (2) (2023)
Minh Nguyen, Kishan K. C., Toan Nguyen, Ankit Chadha, Thuy Vu
Efficient Fine-Tuning Large Language Models for Knowledge-Aware Response Planning. ECML/PKDD (2) (2023)
Kun Zhou, Xiao Liu, Yeyun Gong, Wayne Xin Zhao, Daxin Jiang, Nan Duan, Ji-Rong Wen
MASTER: Multi-task Pre-trained Bottlenecked Masked Autoencoders Are Better Dense Retrievers. ECML/PKDD (2) (2023)
Muhammad Tahir Munir, Muhammad Mustansar Saeed, Mahad Ali, Zafar Ayyub Qazi, Agha Ali Raza, Ihsan Ayyub Qazi
Learning Fast and Slow: Towards Inclusive Federated Learning. ECML/PKDD (2) (2023)
Haiyan Zhao, Tianyi Zhou, Guodong Long, Jing Jiang, Chengqi Zhang
Voting from Nearest Tasks: Meta-Vote Pruning of Pre-trained Models for Downstream Tasks. ECML/PKDD (2) (2023)
Zichong Wang, Charles Wallace, Albert Bifet, Xin Yao, Wenbin Zhang
AN: Fairness-Aware Graph Generative Adversarial Networks. ECML/PKDD (2) (2023)
Deji Zhao, Donghong Han, Ye Yuan, Chao Wang, Shuangyong Song
MuSE: A Multi-scale Emotional Flow Graph Model for Empathetic Dialogue Generation. ECML/PKDD (2) (2023)
Xin Liu, Shijing Wang, Kairui Zhou, Yilin Lyu, Mingyang Song, Liping Jing, Tieyong Zeng, Jian Yu
vMF Loss: Exploring a Scattered Intra-class Hypersphere for Few-Shot Learning. ECML/PKDD (2) (2023)
Xin Liu, Yilin Lyu, Liping Jing, Tieyong Zeng, Jian Yu
Not All Tasks Are Equal: A Parameter-Efficient Task Reweighting Method for Few-Shot Learning. ECML/PKDD (2) (2023)
Daan Roordink, Sibylle Hess
Scoring Rule Nets: Beyond Mean Target Prediction in Multivariate Regression. ECML/PKDD (2) (2023)
Yunlong Yu, Lisha Jin, Yingming Li
Boosting Generalized Few-Shot Learning by Scattering Intra-class Distribution. ECML/PKDD (2) (2023)
Guanchu Wang, Mengnan Du, Ninghao Liu, Na Zou, Xia Ben Hu
Mitigating Algorithmic Bias with Limited Annotations. ECML/PKDD (2) (2023)
Dan Yao, Zhixin Li
Graph Rebasing and Joint Similarity Reconstruction for Cross-Modal Hash Retrieval. ECML/PKDD (2) (2023)
Jin Li, Bingshi Li, Qirong Zhang, Xinlong Chen, Xinyang Huang, Longkun Guo, Yang-Geng Fu
Graph Contrastive Representation Learning with Input-Aware and Cluster-Aware Regularization. ECML/PKDD (2) (2023)
Jiaqi Bai, Zhao Yan, Ze Yang, Jian Yang, Xinnian Liang, Hongcheng Guo, Zhoujun Li
KnowPrefix-Tuning: A Two-Stage Prefix-Tuning Framework for Knowledge-Grounded Dialogue Generation. ECML/PKDD (2) (2023)
Weipeng Fuzzy Huang, Junjie Tao, Changbo Deng, Ming Fan, Wenqiang Wan, Qi Xiong, Guangyuan Piao
Rényi Divergence Deep Mutual Learning. ECML/PKDD (2) (2023)
Clément Vignac, Nagham Osman, Laura Toni, Pascal Frossard
MiDi: Mixed Graph and 3D Denoising Diffusion for Molecule Generation. ECML/PKDD (2) (2023)
Shuyang Jiang, Jun Zhang, Jiangtao Feng, Lin Zheng, Lingpeng Kong
Attentive Multi-Layer Perceptron for Non-autoregressive Generation. ECML/PKDD (2) (2023)
Yuexin Xuan, Xiaojun Chen, Zhendong Zhao, Bisheng Tang, Ye Dong
Practical and General Backdoor Attacks Against Vertical Federated Learning. ECML/PKDD (2) (2023)
Mayi Xu, Ke Sun, Yongqi Li, Tieyun Qian
Cold-Start Multi-hop Reasoning by Hierarchical Guidance and Self-verification. ECML/PKDD (2) (2023)
Kamil Deja, Tomasz Trzcinski, Jakub M. Tomczak
Learning Data Representations with Joint Diffusion Models. ECML/PKDD (2) (2023)
Jiaxu Zhao, Lu Yin, Shiwei Liu, Meng Fang, Mykola Pechenizkiy
REST: Enhancing Group Robustness in DNNs Through Reweighted Sparse Training. ECML/PKDD (2) (2023)
Yacine Gaci, Boualem Benatallah, Fabio Casati, Khalid Benabdeslem
Targeting the Source: Selective Data Curation for Debiasing NLP Models. ECML/PKDD (2) (2023)

volume 14170, 2023

Machine Learning and Knowledge Discovery in Databases: Research Track - European Conference, ECML PKDD 2023, Turin, Italy, September 18-22, 2023, Proceedings, Part II ECML/PKDD (2) 14170 (2023)

volume 13714, 2023

Machine Learning and Knowledge Discovery in Databases - European Conference, ECML PKDD 2022, Grenoble, France, September 19-23, 2022, Proceedings, Part II ECML/PKDD (2) 13714 (2023)

2022