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Publication search results
found 84 matches
- 2022
- Ahmed Frikha, Haokun Chen, Denis Krompaß, Thomas A. Runkler, Volker Tresp:
Towards Data-Free Domain Generalization. ACML 2022: 327-342 - Bin Xiao, Chien-Liang Liu, Wen-Hoar Hsaio:
Semantic Cross Attention for Few-shot Learning. ACML 2022: 1165-1180 - Wei Zhao, Steffen Eger:
Constrained Density Matching and Modeling for Cross-lingual Alignment of Contextualized Representations. ACML 2022: 1245-1260 - Wei Li, Weiyan Liu, Shitong Shao, Shiyi Huang:
AIIR-MIX: Multi-Agent Reinforcement Learning Meets Attention Individual Intrinsic Reward Mixing Network. ACML 2022: 579-594 - Youssef Achenchabe, Alexis Bondu, Antoine Cornuéjols, Vincent Lemaire:
When to Classify Events in Open Times Series? ACML 2022: 1-16 - Réda Alami:
Bayesian Change-Point Detection for Bandit Feedback in Non-stationary Environments. ACML 2022: 17-31 - Rushil Anirudh, Jayaraman J. Thiagarajan:
Out of Distribution Detection via Neural Network Anchoring. ACML 2022: 32-47 - Yunwei Bai, Zhenfeng He, Junfeng Hu:
On the Episodic Difficulty of Few-shot Learning. ACML 2022: 48-63 - Rimmon Bhosale, Mrinal Das:
Learning with Domain Knowledge to Develop Justifiable Convolutional Networks. ACML 2022: 64-79 - Yoann Boget, Magda Gregorova, Alexandros Kalousis:
Graph annotation generative adversarial networks. ACML 2022: 16 - Francois Buet-Golfouse, Parth Pahwa:
Robust Multi-Objective Reinforcement Learning with Dynamic Preferences. ACML 2022: 96-111 - Francois Buet-Golfouse, Islam Utyagulov:
Fairness Trade-Offs and Partial Debiasing. ACML 2022: 112-136 - Yuheng Cao, Mengjie Zhou, Jie Chen:
Robust Scene Text Detection via Learnable Scene Transformations. ACML 2022: 137-152 - Zhenghao Chang, Ruhan He, Yongsheng Yu, Zili Zhang, Geli Bai:
A two-stream convolution architecture for ESC based on audio feature distanglement. ACML 2022: 153-168 - Arghya Roy Chaudhuri, Pratik Jawanpuria, Bamdev Mishra:
ProtoBandit: Efficient Prototype Selection via Multi-Armed Bandits. ACML 2022: 169-184 - Xiangyi Chen, Belhal Karimi, Weijie Zhao, Ping Li:
On the Convergence of Decentralized Adaptive Gradient Methods. ACML 2022: 217-232 - Weijun Chen, Yanze Wang, Chengshuo Du, Zhenglong Jia, Feng Liu, Ran Chen:
Balanced Spatial-Temporal Graph Structure Learning for Multivariate Time Series Forecasting: A Trade-off between Efficiency and Flexibility. ACML 2022: 185-200 - You-Lin Chen, Zhiqiang Xu, Ping Li:
Noisy Riemannian Gradient Descent for Eigenvalue Computation with Application to Inexact Stochastic Recursive Gradient Algorithm. ACML 2022: 201-216 - Jian Cheng, Yang-Feng Hu, Yu Dai, Xue Qiao, Li Yao, Jun-Yan Yang:
Nighttime Semantic Segmentation with Unsupervised Learning and Cross Attention. ACML 2022 - Sayak Ray Chowdhury, Rafael Oliveira:
Value Function Approximations via Kernel Embeddings for No-Regret Reinforcement Learning. ACML 2022: 249-264 - Zongyu Dai, Zhiqi Bu, Qi Long:
Multiple Imputation with Neural Network Gaussian Process for High-dimensional Incomplete Data. ACML 2022: 265-279 - Shaochang Deng, Mengxiao Yin, Feng Yang:
A Self-improving Skin Lesions Diagnosis Framework Via Pseudo-labeling and Self-distillation. ACML 2022: 296-310 - Zhijie Deng, Jun Zhu:
BayesAdapter: Being Bayesian, Inexpensively and Reliably, via Bayesian Fine-tuning. ACML 2022: 280-295 - François-Xavier Dupé, Rohit Yadav, Guillaume Auzias, Sylvain Takerkart:
Kernelized multi-graph matching. ACML 2022: 311-326 - Amirmasoud Ghiassi, Robert Birke, Lydia Y. Chen:
Multi Label Loss Correction against Missing and Corrupted Labels. ACML 2022: 359-374 - Amirmasoud Ghiassi, Cosmin Octavian Pene, Robert Birke, Lydia Y. Chen:
Trusted Loss Correction for Noisy Multi-Label Learning. ACML 2022: 343-358 - Vasilis Gkolemis, Theodore Dalamagas, Christos Diou:
DALE: Differential Accumulated Local Effects for efficient and accurate global explanations. ACML 2022: 375-390 - Peizhu Gong, Jin Liu, Xiliang Zhang, Xingye Li, Zijun Yu:
Circulant-interactive Transformer with Dimension-aware Fusion for Multimodal Sentiment Analysis. ACML 2022: 391-406 - Kshitij Gulati, Gaurav Verma, Mukesh K. Mohania, Ashish Kundu:
BeautifAI - Personalised Occasion-based Makeup Recommendation. ACML 2022: 407-419 - Hirotaka Hachiya, Kotaro Nagayoshi, Asako Iwaki, Takahiro Maeda, Naonori Ueda, Hiroyuki Fujiwara:
Position-dependent partial convolutions for supervised spatial interpolation. ACML 2022: 420-435
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