| Hits ?▲ |
Authors |
Title |
Venue |
Year |
Link |
Author keywords |
| 1 | Shin'ya Yamaguchi |
Generative Semi-supervised Learning with Meta-Optimized Synthetic Samples.  |
ACML  |
2023 |
DBLP BibTeX RDF |
|
| 1 | Aurélien Nioche, Ville Tanskanen, Marcelo Hartmann, Arto Klami |
Transformed Gaussian Processes for Characterizing a Model's Discrepancy. |
ACML |
2023 |
DBLP BibTeX RDF |
|
| 1 | Fedor Noskov, Alexander Fishkov, Maxim Panov |
Selective Nonparametric Regression via Testing. |
ACML |
2023 |
DBLP BibTeX RDF |
|
| 1 | Ming Gu, Yan Yang, Chengcai Chen, Zhou Yu 0005 |
State Value Generation with Prompt Learning and Self-Training for Low-Resource Dialogue State Tracking. |
ACML |
2023 |
DBLP BibTeX RDF |
|
| 1 | Thai-Hung Nguyen, Hong-Phuc Vu, Thuy Dung Nguyen, Tuan Minh Nguyen, Khoa D. Doan, Kok-Seng Wong |
Empirical Study of Federated Unlearning: Efficiency and Effectiveness. |
ACML |
2023 |
DBLP BibTeX RDF |
|
| 1 | Mina Yazdani, Hamed Karimi, Reza Samavi |
DENL: Diverse Ensemble and Noisy Logits for Improved Robustness of Neural Networks. |
ACML |
2023 |
DBLP BibTeX RDF |
|
| 1 | Hassan Saber, Fabien Pesquerel, Odalric-Ambrym Maillard, Mohammad Sadegh Talebi |
Logarithmic regret in communicating MDPs: Leveraging known dynamics with bandits. |
ACML |
2023 |
DBLP BibTeX RDF |
|
| 1 | Parag Dutta, Kawin Mayilvaghanan, Pratyaksha Sinha, Ambedkar Dukkipati |
Deep Representation Learning for Prediction of Temporal Event Sets in the Continuous Time Domain. |
ACML |
2023 |
DBLP BibTeX RDF |
|
| 1 | Jinlai Ning, Michael W. Spratling |
The Importance of Anti-Aliasing in Tiny Object Detection. |
ACML |
2023 |
DBLP BibTeX RDF |
|
| 1 | Zhonghua Zhai |
Cell Variational Information Bottleneck Network. |
ACML |
2023 |
DBLP BibTeX RDF |
|
| 1 | Chunlin Ji, Yuhao Fu, Ping He |
Adaptive Riemannian stochastic gradient descent and reparameterization for Gaussian mixture model fitting. |
ACML |
2023 |
DBLP BibTeX RDF |
|
| 1 | Inderjeet Singh, Kazuya Kakizaki, Toshinori Araki |
Advancing Deep Metric Learning With Adversarial Robustness. |
ACML |
2023 |
DBLP BibTeX RDF |
|
| 1 | Ke Sun 0013, Bing Yu, Zhouchen Lin, Zhanxing Zhu |
Patch-level Neighborhood Interpolation: A General and Effective Graph-based Regularization Strategy. |
ACML |
2023 |
DBLP BibTeX RDF |
|
| 1 | Wenmin Deng, Jing Zhang, Peng Zhang, Yitong Yao, Hui Gao, Yurui Zhang |
Hyper-Label-Graph: Modeling Branch-Level Dependencies of Labels for Hierarchical Multi-Label Text Classification. |
ACML |
2023 |
DBLP BibTeX RDF |
|
| 1 | Bo Liu 0047, Ranglei Wu, Xiuli Bi, Bin Xiao 0002 |
FF-Net: An End-to-end Feature-Fusion Network for Double JPEG Detection and Localization. |
ACML |
2022 |
DBLP BibTeX RDF |
|
| 1 | Youssef Achenchabe, Alexis Bondu, Antoine Cornuéjols, Vincent Lemaire 0001 |
When to Classify Events in Open Times Series? |
ACML |
2022 |
DBLP BibTeX RDF |
|
| 1 | Haoyu Wang, Xinrui Yang, Yuhang Wang, Xuguang Lan |
Constrained Contrastive Reinforcement Learning. |
ACML |
2022 |
DBLP BibTeX RDF |
|
| 1 | Amirmasoud Ghiassi, Cosmin Octavian Pene, Robert Birke, Lydia Y. Chen |
Trusted Loss Correction for Noisy Multi-Label Learning. |
ACML |
2022 |
DBLP BibTeX RDF |
|
| 1 | Chenmien Tan, Paul Weng |
CVaR-Regret Bounds for Multi-armed Bandits. |
ACML |
2022 |
DBLP BibTeX RDF |
|
| 1 | Lakshmi Narayan Pandey, Rahul Vashisht, Harish G. Ramaswamy |
On the Interpretability of Attention Networks. |
ACML |
2022 |
DBLP BibTeX RDF |
|
| 1 | Zhiwei Li, Weiling Cai, Cairun Wang |
Unsupervised Photo-to-Caricature Generation with Adaptive Select Layer-Instance Normalization and Semi-cycle Consistency. |
ACML |
2022 |
DBLP BibTeX RDF |
|
| 1 | Zhongyi Han, Wan Su, Rundong He, Yilong Yin |
SNAIL: Semi-Separated Uncertainty Adversarial Learning for Universal Domain Adaptation. |
ACML |
2022 |
DBLP BibTeX RDF |
|
| 1 | Prashant Trivedi, Nandyala Hemachandra |
Noise Robust Core-stable Coalitions of Hedonic Games. |
ACML |
2022 |
DBLP BibTeX RDF |
|
| 1 | Zhenghao Chang, Ruhan He, Yongsheng Yu, Zili Zhang, Geli Bai |
A two-stream convolution architecture for ESC based on audio feature distanglement. |
ACML |
2022 |
DBLP BibTeX RDF |
|
| 1 | Yuwei Sun, Ng S. T. Chong, Hideya Ochiai |
Feature Distribution Matching for Federated Domain Generalization. |
ACML |
2022 |
DBLP BibTeX RDF |
|
| 1 | Yoann Boget, Magda Gregorova, Alexandros Kalousis |
Graph annotation generative adversarial networks. |
ACML |
2022 |
DBLP BibTeX RDF |
|
| 1 | Francois Buet-Golfouse, Islam Utyagulov |
Fairness Trade-Offs and Partial Debiasing. |
ACML |
2022 |
DBLP BibTeX RDF |
|
| 1 | Hirotaka Hachiya, Kotaro Nagayoshi, Asako Iwaki, Takahiro Maeda 0006, Naonori Ueda, Hiroyuki Fujiwara |
Position-dependent partial convolutions for supervised spatial interpolation. |
ACML |
2022 |
DBLP BibTeX RDF |
|
| 1 | Rushil Anirudh, Jayaraman J. Thiagarajan |
Out of Distribution Detection via Neural Network Anchoring. |
ACML |
2022 |
DBLP BibTeX RDF |
|
| 1 | Zongyu Dai, Zhiqi Bu, Qi Long |
Multiple Imputation with Neural Network Gaussian Process for High-dimensional Incomplete Data. |
ACML |
2022 |
DBLP BibTeX RDF |
|
| 1 | Yuheng Cao, Mengjie Zhou, Jie Chen |
Robust Scene Text Detection via Learnable Scene Transformations. |
ACML |
2022 |
DBLP BibTeX RDF |
|
| 1 | Shuichiro Haruta, Tatsuya Konishi, Mori Kurokawa |
A Novel Graph Aggregation Method Based on Feature Distribution Around Each Ego-node for Heterophily. |
ACML |
2022 |
DBLP BibTeX RDF |
|
| 1 | Arghya Roy Chaudhuri, Pratik Jawanpuria, Bamdev Mishra |
ProtoBandit: Efficient Prototype Selection via Multi-Armed Bandits. |
ACML |
2022 |
DBLP BibTeX RDF |
|
| 1 | 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 |
DBLP BibTeX RDF |
|
| 1 | Tejas Pote, Muhammad Athar Ganaie, Atif Hassan, Swanand R. Khare |
Dynamic Forward and Backward Sparse Training (DFBST): Accelerated Deep Learning through Completely Sparse Training Schedule. |
ACML |
2022 |
DBLP BibTeX RDF |
|
| 1 | 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 |
DBLP BibTeX RDF |
|
| 1 | Dongxu Li, Shaochen Wang, Kang Chen, Bin Li |
Contrastive Inductive Bias Controlling Networks for Reinforcement Learning. |
ACML |
2022 |
DBLP BibTeX RDF |
|
| 1 | You-Lin Chen, Zhiqiang Xu, Ping Li 0001 |
Noisy Riemannian Gradient Descent for Eigenvalue Computation with Application to Inexact Stochastic Recursive Gradient Algorithm. |
ACML |
2022 |
DBLP BibTeX RDF |
|
| 1 | Yidong Wang, Bowen Zhang, Wenxin Hou, Zhen Wu, Jindong Wang 0001, Takahiro Shinozaki |
Margin Calibration for Long-Tailed Visual Recognition. |
ACML |
2022 |
DBLP BibTeX RDF |
|
| 1 | Changjie Lu, Shen Zheng, Zirui Wang, Omar Dib, Gaurav Gupta 0003 |
AS-IntroVAE: Adversarial Similarity Distance Makes Robust IntroVAE. |
ACML |
2022 |
DBLP BibTeX RDF |
|
| 1 | Tim Schwabe, Tobias Glasmachers, Maribel Acosta |
AFRNN: Stable RNN with Top Down Feedback and Antisymmetry. |
ACML |
2022 |
DBLP BibTeX RDF |
|
| 1 | Peng Xiao, Biao Zhang, Samuel Cheng 0001, Ke Wei, Shuqin Zhang |
Probabilistic Fusion of Neural Networks that Incorporates Global Information. |
ACML |
2022 |
DBLP BibTeX RDF |
|
| 1 | Xuetong Xue, Jiaying Shi, Xinxue He, Shenghui Xu, Zhaoming Pan |
Cross-Scale Context Extracted Hashing for Fine-Grained Image Binary Encoding. |
ACML |
2022 |
DBLP BibTeX RDF |
|
| 1 | Tuan-Anh Nguyen, Kim Thang Nguyen, Denis Trystram |
One Gradient Frank-Wolfe for Decentralized Online Convex and Submodular Optimization. |
ACML |
2022 |
DBLP BibTeX RDF |
|
| 1 | Xinyu Li, Yilin Li, Qing Cui, Longfei Li, Jun Zhou 0011 |
Robust Direct Learning for Causal Data Fusion. |
ACML |
2022 |
DBLP BibTeX RDF |
|
| 1 | Diyi Hu, Chi Zhang 0022, Viktor K. Prasanna, Bhaskar Krishnamachari |
Learning Practical Communication Strategies in Cooperative Multi-Agent Reinforcement Learning. |
ACML |
2022 |
DBLP BibTeX RDF |
|
| 1 | Wei Zhou, Hao Wang, Yiling Zhang, Cheng Long, Yan Yang, Dongjie Wang |
Multi-scale Progressive Gated Transformer for Physiological Signal Classification. |
ACML |
2022 |
DBLP BibTeX RDF |
|
| 1 | Zhijie Deng, Jun Zhu |
BayesAdapter: Being Bayesian, Inexpensively and Reliably, via Bayesian Fine-tuning. |
ACML |
2022 |
DBLP BibTeX RDF |
|
| 1 | Samartha S. Maheshwara, Naresh Manwani |
RoLNiP: Robust Learning Using Noisy Pairwise Comparisons. |
ACML |
2022 |
DBLP BibTeX RDF |
|
| 1 | Shaochang Deng, Mengxiao Yin, Feng Yang |
A Self-improving Skin Lesions Diagnosis Framework Via Pseudo-labeling and Self-distillation. |
ACML |
2022 |
DBLP BibTeX RDF |
|
| 1 | Vasilis Gkolemis, Theodore Dalamagas 0001, Christos Diou |
DALE: Differential Accumulated Local Effects for efficient and accurate global explanations. |
ACML |
2022 |
DBLP BibTeX RDF |
|
| 1 | Taslim Murad, Prakash Chourasia, Sarwan Ali, Murray Patterson |
Hashing2Vec: Fast Embedding Generation for SARS-CoV-2 Spike Sequence Classification. |
ACML |
2022 |
DBLP BibTeX RDF |
|
| 1 | Owais Khan Mohammed, Kriti Aggarwal, Qiang Liu, Saksham Singhal, Johan Bjorck, Subhojit Som |
Bootstrapping a high quality multilingual multimodal dataset for Bletchley. |
ACML |
2022 |
DBLP BibTeX RDF |
|
| 1 | Shintaro Nakamura, Han Bao 0002, Masashi Sugiyama |
Robust computation of optimal transport by β-potential regularization. |
ACML |
2022 |
DBLP BibTeX RDF |
|
| 1 | Mingxuan Yi, Song Liu |
Sliced Wasserstein variational inference. |
ACML |
2022 |
DBLP BibTeX RDF |
|
| 1 | Chonghua Liao, Jiafan He, Quanquan Gu |
Locally Differentially Private Reinforcement Learning for Linear Mixture Markov Decision Processes. |
ACML |
2022 |
DBLP BibTeX RDF |
|
| 1 | Yunwei Bai, Zhenfeng He, Junfeng Hu 0001 |
On the Episodic Difficulty of Few-shot Learning. |
ACML |
2022 |
DBLP BibTeX RDF |
|
| 1 | Wei Li 0049, Weiyan Liu, Shitong Shao, Shiyi Huang |
AIIR-MIX: Multi-Agent Reinforcement Learning Meets Attention Individual Intrinsic Reward Mixing Network. |
ACML |
2022 |
DBLP BibTeX RDF |
|
| 1 | Hengyi Zhou, Hongyi He, Wanchen Liu, Yuhai Li, Haonan Zhang, Longjun Liu |
A Novel Differentiable Mixed-Precision Quantization Search Framework for Alleviating the Matthew Effect and Improving Robustness. |
ACML |
2022 |
DBLP BibTeX RDF |
|
| 1 | Qi Shen, Shixuan Zhu, Yitong Pang, Yiming Zhang, Zhihua Wei |
Temporal aware Multi-Interest Graph Neural Network for Session-based Recommendation. |
ACML |
2022 |
DBLP BibTeX RDF |
|
| 1 | Sayak Ray Chowdhury, Rafael Oliveira 0001 |
Value Function Approximations via Kernel Embeddings for No-Regret Reinforcement Learning. |
ACML |
2022 |
DBLP BibTeX RDF |
|
| 1 | Alexandre Verine, Benjamin Négrevergne, Yann Chevaleyre, Fabrice Rossi |
On the expressivity of bi-Lipschitz normalizing flows. |
ACML |
2022 |
DBLP BibTeX RDF |
|
| 1 | Kshitij Gulati, Gaurav Verma, Mukesh K. Mohania, Ashish Kundu |
BeautifAI - Personalised Occasion-based Makeup Recommendation. |
ACML |
2022 |
DBLP BibTeX RDF |
|
| 1 | Rui Li, Xiao Li |
Probabilistic Adaptive Spatial-Temporal Regularized Correlation Filters for UAV Tracking. |
ACML |
2022 |
DBLP BibTeX RDF |
|
| 1 | Zichen Ma, Yu Lu, Wenye Li 0001, Shuguang Cui |
Asynchronous Personalized Federated Learning with Irregular Clients. |
ACML |
2022 |
DBLP BibTeX RDF |
|
| 1 | Jian Zheng, Wenran Han, Ying Zhang, Shufan Ji |
EENAS: An Efficient Evolutionary Algorithm for Neural Architecture Search. |
ACML |
2022 |
DBLP BibTeX RDF |
|
| 1 | François-Xavier Dupé, Rohit Yadav, Guillaume Auzias, Sylvain Takerkart |
Kernelized multi-graph matching. |
ACML |
2022 |
DBLP BibTeX RDF |
|
| 1 | Bin Xiao 0008, Chien-Liang Liu, Wen-Hoar Hsaio |
Semantic Cross Attention for Few-shot Learning. |
ACML |
2022 |
DBLP BibTeX RDF |
|
| 1 | Siyu Ma, Yuting Liu, Dan Zeng 0002, Yaxin Liao, Xiaoyu Xu, Shuiwang Li |
Learning Disentangled Representation in Pruning for Real-Time UAV Tracking. |
ACML |
2022 |
DBLP BibTeX RDF |
|
| 1 | Amirmasoud Ghiassi, Robert Birke, Lydia Y. Chen |
Multi Label Loss Correction against Missing and Corrupted Labels. |
ACML |
2022 |
DBLP BibTeX RDF |
|
| 1 | Kishan Wimalawarne, Taiji Suzuki |
Layer-wise Adaptive Graph Convolution Networks Using Generalized Pagerank. |
ACML |
2022 |
DBLP BibTeX RDF |
|
| 1 | Rongrong Jin, Xiao Wang, Guangge Wang, Yang Lu, Hai-Miao Hu, Hanzi Wang |
Embedding Adaptation Network with Transformer for Few-Shot Action Recognition. |
ACML |
2022 |
DBLP BibTeX RDF |
|
| 1 | Vishwa Mohan Singh, Vibhor Saran, Pooja Kadambi |
Autonomous Myocardial Infarction Detection from Electrocardiogram with a Multi Label Classification Approach. |
ACML |
2022 |
DBLP BibTeX RDF |
|
| 1 | Peizhu Gong, Jin Liu 0009, Xiliang Zhang, Xingye Li, Zijun Yu |
Circulant-interactive Transformer with Dimension-aware Fusion for Multimodal Sentiment Analysis. |
ACML |
2022 |
DBLP BibTeX RDF |
|
| 1 | Qingning Lu, Wenzhong Li, Chuanze Zhu, Yizhou Chen, Yinke Wang, Zhijie Zhang, Linshan Shen, Sanglu Lu |
Multi-Scale Anomaly Detection for Time Series with Attention-based Recurrent Autoencoders. |
ACML |
2022 |
DBLP BibTeX RDF |
|
| 1 | Yuting Tang, Nan Lu, Tianyi Zhang, Masashi Sugiyama |
Multi-class Classification from Multiple Unlabeled Datasets with Partial Risk Regularization. |
ACML |
2022 |
DBLP BibTeX RDF |
|
| 1 | Vineeth N. Balasubramanian, Ivor W. Tsang (eds.) |
Asian Conference on Machine Learning, ACML 2022, 12-14 December 2022, Hyderabad, India. |
ACML |
2022 |
DBLP BibTeX RDF |
|
| 1 | Jianhan Wu 0001, Shijing Si, Jianzong Wang, Xiaoyang Qu, Jing Xiao 0006 |
Pose Guided Human Image Synthesis with Partially Decoupled GAN. |
ACML |
2022 |
DBLP BibTeX RDF |
|
| 1 | Man-Jie Yuan, Wei Gao |
Learning with Interactive Models over Decision-Dependent Distributions. |
ACML |
2022 |
DBLP BibTeX RDF |
|
| 1 | Pankaj Kumar |
Deep Reinforcement Learning for High-Frequency Market Making. |
ACML |
2022 |
DBLP BibTeX RDF |
|
| 1 | Wei Zhao 0033, Steffen Eger |
Constrained Density Matching and Modeling for Cross-lingual Alignment of Contextualized Representations. |
ACML |
2022 |
DBLP BibTeX RDF |
|
| 1 | Jisui Huang, Na Lei |
3D Manifold Topology Based Medical Image Data Augmentation. |
ACML |
2022 |
DBLP BibTeX RDF |
|
| 1 | Christoph Obermair, Alexander Fuchs 0009, Franz Pernkopf, Lukas Felsberger, Andrea Apollonio, Daniel Wollmann |
Example or Prototype? Learning Concept-Based Explanations in Time-Series. |
ACML |
2022 |
DBLP BibTeX RDF |
|
| 1 | Priyabrata Sundaray, Yang Weng |
Auto-Physics-Encoder: Using Physics-Informed Latent Layer Two-Way Physics Flow for Monitoring Systems with Unobservability. |
ACML |
2022 |
DBLP BibTeX RDF |
|
| 1 | Ahmed Frikha 0002, Haokun Chen, Denis Krompaß, Thomas A. Runkler, Volker Tresp |
Towards Data-Free Domain Generalization. |
ACML |
2022 |
DBLP BibTeX RDF |
|
| 1 | Réda Alami |
Bayesian Change-Point Detection for Bandit Feedback in Non-stationary Environments. |
ACML |
2022 |
DBLP BibTeX RDF |
|
| 1 | Lin Qiu, Vernon M. Chinchilli, Lin Lin 0003 |
Interpretable Representation Learning from Temporal Multi-view Data. |
ACML |
2022 |
DBLP BibTeX RDF |
|
| 1 | Yaxuan Wang, Zhixin Zeng, Qijun Zhao |
Evaluating the perceived safety of urban city via maximum entropy deep inverse reinforcement learning. |
ACML |
2022 |
DBLP BibTeX RDF |
|
| 1 | Kowshik Thopalli, Pavan K. Turaga, Jayaraman J. Thiagarajan |
Domain Alignment Meets Fully Test-Time Adaptation. |
ACML |
2022 |
DBLP BibTeX RDF |
|
| 1 | Yuhang Tian, Rui Wang 0070, Yanqi Qiao, Emmanouil Panaousis, Kaitai Liang |
FLVoogd: Robust And Privacy Preserving Federated Learning. |
ACML |
2022 |
DBLP BibTeX RDF |
|
| 1 | Louis Mahon, Thomas Lukasiewicz |
Efficient Deep Clustering of Human Activities and How to Improve Evaluation. |
ACML |
2022 |
DBLP BibTeX RDF |
|
| 1 | Xiangyi Chen, Belhal Karimi, Weijie Zhao 0001, Ping Li 0001 |
On the Convergence of Decentralized Adaptive Gradient Methods. |
ACML |
2022 |
DBLP BibTeX RDF |
|
| 1 | Chenyang Xu, Jianfei Shen, Feiyi Fan, Tian Qiu, Zhihong Mao |
An Enhanced Human Activity Recognition Algorithm with Positional Attention. |
ACML |
2022 |
DBLP BibTeX RDF |
|
| 1 | Jinyan Su, Jinhui Xu 0001, Di Wang 0015 |
On PAC Learning Halfspaces in Non-interactive Local Privacy Model with Public Unlabeled Data. |
ACML |
2022 |
DBLP BibTeX RDF |
|
| 1 | Rimmon Bhosale, Mrinal Das |
Learning with Domain Knowledge to Develop Justifiable Convolutional Networks. |
ACML |
2022 |
DBLP BibTeX RDF |
|
| 1 | Niv Nayman, Yonathan Aflalo, Asaf Noy, Lihi Zelnik-Manor |
BINAS: Bilinear Interpretable Neural Architecture Search. |
ACML |
2022 |
DBLP BibTeX RDF |
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| 1 | Chengyin Hu, Yilong Wang, Kalibinuer Tiliwalidi, Wen Li |
Adversarial Laser Spot: Robust and Covert Physical-World Attack to DNNs. |
ACML |
2022 |
DBLP BibTeX RDF |
|
| 1 | Francois Buet-Golfouse, Parth Pahwa |
Robust Multi-Objective Reinforcement Learning with Dynamic Preferences. |
ACML |
2022 |
DBLP BibTeX RDF |
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| 1 | Zilong Zhao 0001, Aditya Kunar, Robert Birke, Lydia Y. Chen |
CTAB-GAN: Effective Table Data Synthesizing. |
ACML |
2021 |
DBLP BibTeX RDF |
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| 1 | Akira Imakura, Xiucai Ye, Tetsuya Sakurai |
Collaborative Novelty Detection for Distributed Data by a Probabilistic Method. |
ACML |
2021 |
DBLP BibTeX RDF |
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