ACML

Keyphrases

Publications

2022

Arghya Roy Chaudhuri, Pratik Jawanpuria, Bamdev Mishra
ProtoBandit: Efficient Prototype Selection via Multi-Armed Bandits. ACML (2022)
Diyi Hu, Chi Zhang, Viktor K. Prasanna, Bhaskar Krishnamachari
Learning Practical Communication Strategies in Cooperative Multi-Agent Reinforcement Learning. ACML (2022)
Yuheng Cao, Mengjie Zhou, Jie Chen
Robust Scene Text Detection via Learnable Scene Transformations. ACML (2022)
Owais Khan Mohammed, Kriti Aggarwal, Qiang Liu, Saksham Singhal, Johan Bjorck, Subhojit Som
Bootstrapping a high quality multilingual multimodal dataset for Bletchley. ACML (2022)
Zhijie Deng, Jun Zhu
BayesAdapter: Being Bayesian, Inexpensively and Reliably, via Bayesian Fine-tuning. ACML (2022)
You-Lin Chen, Zhiqiang Xu, Ping Li
Noisy Riemannian Gradient Descent for Eigenvalue Computation with Application to Inexact Stochastic Recursive Gradient Algorithm. ACML (2022)
Dongxu Li, Shaochen Wang, Kang Chen, Bin Li
Contrastive Inductive Bias Controlling Networks for Reinforcement Learning. ACML (2022)
Prashant Trivedi, Nandyala Hemachandra
Noise Robust Core-stable Coalitions of Hedonic Games. ACML (2022)
Zhenghao Chang, Ruhan He, Yongsheng Yu, Zili Zhang, Geli Bai
A two-stream convolution architecture for ESC based on audio feature distanglement. ACML (2022)
Zhiwei Li, Weiling Cai, Cairun Wang
Unsupervised Photo-to-Caricature Generation with Adaptive Select Layer-Instance Normalization and Semi-cycle Consistency. ACML (2022)
Chonghua Liao, Jiafan He, Quanquan Gu
Locally Differentially Private Reinforcement Learning for Linear Mixture Markov Decision Processes. ACML (2022)
Mingxuan Yi, Song Liu
Sliced Wasserstein variational inference. ACML (2022)
Samartha S. Maheshwara, Naresh Manwani
RoLNiP: Robust Learning Using Noisy Pairwise Comparisons. ACML (2022)
Taslim Murad, Prakash Chourasia, Sarwan Ali, Murray Patterson
Hashing2Vec: Fast Embedding Generation for SARS-CoV-2 Spike Sequence Classification. ACML (2022)
Tim Schwabe, Tobias Glasmachers, Maribel Acosta
AFRNN: Stable RNN with Top Down Feedback and Antisymmetry. ACML (2022)
Changjie Lu, Shen Zheng, Zirui Wang, Omar Dib, Gaurav Gupta
AS-IntroVAE: Adversarial Similarity Distance Makes Robust IntroVAE. ACML (2022)
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)
Xinyu Li, Yilin Li, Qing Cui, Longfei Li, Jun Zhou
Robust Direct Learning for Causal Data Fusion. ACML (2022)
Yuwei Sun, Ng S. T. Chong, Hideya Ochiai
Feature Distribution Matching for Federated Domain Generalization. ACML (2022)
Hirotaka Hachiya, Kotaro Nagayoshi, Asako Iwaki, Takahiro Maeda, Naonori Ueda, Hiroyuki Fujiwara
Position-dependent partial convolutions for supervised spatial interpolation. ACML (2022)
Zhongyi Han, Wan Su, Rundong He, Yilong Yin
SNAIL: Semi-Separated Uncertainty Adversarial Learning for Universal Domain Adaptation. ACML (2022)
Rushil Anirudh, Jayaraman J. Thiagarajan
Out of Distribution Detection via Neural Network Anchoring. ACML (2022)
Chenmien Tan, Paul Weng
CVaR-Regret Bounds for Multi-armed Bandits. ACML (2022)
Amirmasoud Ghiassi, Cosmin Octavian Pene, Robert Birke, Lydia Y. Chen
Trusted Loss Correction for Noisy Multi-Label Learning. ACML (2022)
Haoyu Wang, Xinrui Yang, Yuhang Wang, Xuguang Lan
Constrained Contrastive Reinforcement Learning. ACML (2022)
Yunwei Bai, Zhenfeng He, Junfeng Hu
On the Episodic Difficulty of Few-shot Learning. ACML (2022)
Wei Li, Weiyan Liu, Shitong Shao, Shiyi Huang
AIIR-MIX: Multi-Agent Reinforcement Learning Meets Attention Individual Intrinsic Reward Mixing Network. ACML (2022)
Shintaro Nakamura, Han Bao, Masashi Sugiyama
Robust computation of optimal transport by β-potential regularization. ACML (2022)
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)
Shaochang Deng, Mengxiao Yin, Feng Yang
A Self-improving Skin Lesions Diagnosis Framework Via Pseudo-labeling and Self-distillation. ACML (2022)
Vasilis Gkolemis, Theodore Dalamagas, Christos Diou
DALE: Differential Accumulated Local Effects for efficient and accurate global explanations. ACML (2022)
Wei Zhou, Hao Wang, Yiling Zhang, Cheng Long, Yan Yang, Dongjie Wang
Multi-scale Progressive Gated Transformer for Physiological Signal Classification. ACML (2022)
Qi Shen, Shixuan Zhu, Yitong Pang, Yiming Zhang, Zhihua Wei
Temporal aware Multi-Interest Graph Neural Network for Session-based Recommendation. ACML (2022)
Peng Xiao, Biao Zhang, Samuel Cheng, Ke Wei, Shuqin Zhang
Probabilistic Fusion of Neural Networks that Incorporates Global Information. ACML (2022)
Xuetong Xue, Jiaying Shi, Xinxue He, Shenghui Xu, Zhaoming Pan
Cross-Scale Context Extracted Hashing for Fine-Grained Image Binary Encoding. ACML (2022)
Yidong Wang, Bowen Zhang, Wenxin Hou, Zhen Wu, Jindong Wang, Takahiro Shinozaki
Margin Calibration for Long-Tailed Visual Recognition. ACML (2022)
Tuan-Anh Nguyen, Kim Thang Nguyen, Denis Trystram
One Gradient Frank-Wolfe for Decentralized Online Convex and Submodular Optimization. ACML (2022)
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)
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)
Shuichiro Haruta, Tatsuya Konishi, Mori Kurokawa
A Novel Graph Aggregation Method Based on Feature Distribution Around Each Ego-node for Heterophily. ACML (2022)
Sayak Ray Chowdhury, Rafael Oliveira
Value Function Approximations via Kernel Embeddings for No-Regret Reinforcement Learning. ACML (2022)
Yoann Boget, Magda Gregorova, Alexandros Kalousis
Graph annotation generative adversarial networks. ACML (2022)
Francois Buet-Golfouse, Islam Utyagulov
Fairness Trade-Offs and Partial Debiasing. ACML (2022)
Youssef Achenchabe, Alexis Bondu, Antoine Cornuéjols, Vincent Lemaire
When to Classify Events in Open Times Series? ACML (2022)
Rui Li, Xiao Li
Probabilistic Adaptive Spatial-Temporal Regularized Correlation Filters for UAV Tracking. ACML (2022)
Kshitij Gulati, Gaurav Verma, Mukesh K. Mohania, Ashish Kundu
BeautifAI - Personalised Occasion-based Makeup Recommendation. ACML (2022)
Alexandre Verine, Benjamin Négrevergne, Yann Chevaleyre, Fabrice Rossi
On the expressivity of bi-Lipschitz normalizing flows. ACML (2022)
Zongyu Dai, Zhiqi Bu, Qi Long
Multiple Imputation with Neural Network Gaussian Process for High-dimensional Incomplete Data. ACML (2022)
Lakshmi Narayan Pandey, Rahul Vashisht, Harish G. Ramaswamy
On the Interpretability of Attention Networks. ACML (2022)

volume 189, 2022

Asian Conference on Machine Learning, ACML 2022, 12-14 December 2022, Hyderabad, India. ACML 189 (2022)