ACML 2022

83 papers

Multi-scale Progressive Gated Transformer for Physiological Signal Classification

Wei Zhou, Hao Wang, Yiling Zhang, Cheng Long, yan yang

A Novel Differentiable Mixed-Precision Quantization Search Framework for Alleviating the Matthew Effect and Improving Robustness

Hengyi Zhou, Hongyi He, Wanchen Liu, Yuhai Li, Haonan Zhang

EENAS: An Eﬀicient Evolutionary Algorithm for Neural Architecture Search

Zheng Jian, Han Wenran, Zhang Ying, Ji Shufan

Constrained Density Matching and Modeling for Cross-lingual Alignment of Contextualized Representations

Wei Zhao, Steffen Eger

Learning with Interactive Models over Decision-Dependent Distributions

Man-Jie Yuan, Wei Gao

Sliced Wasserstein variational inference

Mingxuan Yi, Song Liu

Cross-Scale Context Extracted Hashing for Fine-Grained Image Binary Encoding

Xuetong Xue, Jiaying Shi, Xinxue He, Shenghui Xu, Zhaoming Pan

An Enhanced Human Activity Recognition Algorithm with Positional Attention

Chenyang Xu, Jianfei Shen, Feiyi Fan, Tian Qiu, Zhihong Mao

Semantic Cross Attention for Few-shot Learning

Bin Xiao, Chien-Liang Liu, Wen-Hoar Hsaio

Probabilistic Fusion of Neural Networks that Incorporates Global Information

Peng Xiao, Biao Zhang, Samuel Cheng, Ke Wei, Shuqin Zhang

Pose Guided Human Image Synthesis with Partially Decoupled GAN

Jianhan Wu, Shijing Si, Jianzong Wang, Xiaoyang Qu, Xiao Jing

Layer-wise Adaptive Graph Convolution Networks Using Generalized Pagerank

Kishan Wimalawarne, Taiji Suzuki

Margin Calibration for Long-Tailed Visual Recognition

Yidong Wang, Bowen Zhang, Wenxin Hou, Zhen Wu, Jindong Wang

Evaluating the perceived safety of urban city via maximum entropy deep inverse reinforcement learning

Yaxuan Wang, Zhixin Zeng, Qijun Zhao

Constrained Contrastive Reinforcement Learning

Haoyu Wang, Xinrui Yang, Yuhang Wang, Lan Xuguang

On the expressivity of bi-Lipschitz normalizing flows

Alexandre Verine, Benjamin Negrevergne, Yann Chevaleyre, Fabrice Rossi

Noise Robust Core-stable Coalitions of Hedonic Games

Prashant Trivedi, Nandyala Hemachandra

FLVoogd: Robust And Privacy Preserving Federated Learning

Tian Yuhang, Wang Rui, Qiao Yanqi, Panaousis Emmanouil, Liang Kaitai

Domain Alignment Meets Fully Test-Time Adaptation

Kowshik Thopalli, Pavan Turaga, Jayaraman J Thiagarajan

Multi-class Classification from Multiple Unlabeled Datasets with Partial Risk Regularization

Yuting Tang, Nan Lu, Tianyi Zhang, Masashi Sugiyama

CVaR-Regret Bounds for Multi-armed Bandits

Chenmien Tan, Paul Weng

Auto-Physics-Encoder: Using Physics-Informed Latent Layer Two-Way Physics Flow for Monitoring Systems with Unobservability

Priyabrata Sundaray, Yang Weng

Feature Distribution Matching for Federated Domain Generalization

Yuwei Sun, Ng Chong, Hideya Ochiai

On PAC Learning Halfspaces in Non-interactive Local Privacy Model with Public Unlabeled Data

Jinyan Su, Jinhui Xu, Di Wang

Autonomous Myocardial Infarction Detection from Electrocardiogram with a Multi Label Classification Approach

Vishwa Mohan Singh, Vibhor Saran, Pooja Kadambi

AFRNN: Stable RNN with Top Down Feedback and Antisymmetry

Tim Schwabe, Tobias Glasmachers, Maribel Acosta

Interpretable Representation Learning from Temporal Multi-view Data

Lin Qiu, Vernon M. Chinchilli, Lin Lin

Dynamic Forward and Backward Sparse Training (DFBST): Accelerated Deep Learning through Completely Sparse Training Schedule

Tejas Pote, Muhammad Athar Ganaie, Atif Hassan, Swanand Khare

On the Interpretability of Attention Networks

Lakshmi Narayan Pandey, Rahul Vashisht, Harish G. Ramaswamy

Example or Prototype? Learning Concept-Based Explanations in Time-Series

Christoph Obermair, Alexander Fuchs, Franz Pernkopf, Lukas Felsberger, Andrea Apollonio

One Gradient Frank-Wolfe for Decentralized Online Convex and Submodular Optimization

Tuan-Anh Nguyen, Nguyễn Kim Thắng, Denis Trystram

BINAS: Bilinear Interpretable Neural Architecture Search

Niv Nayman, Yonathan Aflalo, Asaf Noy, Lihi Zelnik-Manor

Robust computation of optimal transport by $β$-potential regularization

Shintaro Nakamura, Han Bao, Masashi Sugiyama

Hashing2Vec: Fast Embedding Generation for SARS-CoV-2 Spike Sequence Classification

Murad Taslim, Chourasia Prakash, Ali Sarwan, Patterson Murray

Bootstrapping a high quality multilingual multimodal dataset for Bletchley

Owais Khan Mohammed, Kriti Aggarwal, Qiang Liu, Saksham Singhal, Johan Bjorck

Efficient Deep Clustering of Human Activities and How to Improve Evaluation

Louis Mahon, Thomas Lukasiewicz

Asynchronous Personalized Federated Learning with Irregular Clients

Zichen Ma, Yu Lu, Wenye Li, Shuguang Cui

RoLNiP: Robust Learning Using Noisy Pairwise Comparisons

Samartha S. Maheshwara, Naresh Manwani

Learning Disentangled Representation in Pruning for Real-Time UAV Tracking

Siyu Ma, Yuting Liu, Dan Zeng, Yaxin Liao, Xiaoyu Xu

Multi-Scale Anomaly Detection for Time Series with Attention-based Recurrent Autoencoders

Lu Qingning, Li Wenzhong, Zhu Chuanze, Chen Yizhou, Wang Yinke

AS-IntroVAE: Adversarial Similarity Distance Makes Robust IntroVAE

Lu Changjie, Zheng Shen, Wang Zirui, Dib Omar, Gupta Gaurav

FF-Net: An End-to-end Feature-Fusion Network for Double JPEG Detection and Localization

Bo Liu, Ranglei Wu, Xiuli Bi, Bin Xiao

Locally Differentially Private Reinforcement Learning for Linear Mixture Markov Decision Processes

Chonghua Liao, Jiafan He, Quanquan Gu

Robust Direct Learning for Causal Data Fusion

Xinyu Li, Yilin Li, Qing Cui, Longfei Li, Jun Zhou

Unsupervised Photo-to-Caricature Generation with Adaptive Select Layer-Instance Normalization and Semi-cycle Consistency

Li Zhiwei, Cai Weiling, Cairun Wang

AIIR-MIX: Multi-Agent Reinforcement Learning Meets Attention Individual Intrinsic Reward Mixing Network

Wei Li, Weiyan Liu, Shitong Shao, Shiyi Huang

Contrastive Inductive Bias Controlling Networks for Reinforcement Learning

DONGXU LI, Shaochen Wang, Kang Chen, Bin Li

Probabilistic Adaptive Spatial-Temporal Regularized Correlation Filters for UAV Tracking

Rui Li, Xiao Li

Deep Reinforcement Learning for High-Frequency Market Making

Pankaj Kumar

Embedding Adaptation Network with Transformer for Few-Shot Action Recognition

Rongrong Jin, Xiao Wang, Guangge Wang, Yang Lu, Hai-Miao Hu

3D Manifold Topology Based Medical Image Data Augmentation

Jisui Huang, Na Lei

Adversarial Laser Spot: Robust and Covert Physical-World Attack to DNNs

Chengyin Hu, Yilong Wang, Kalibinuer Tiliwalidi, Wen Li

Learning Practical Communication Strategies in Cooperative Multi-Agent Reinforcement Learning

Diyi Hu, Chi Zhang, Viktor Prasanna, Bhaskar Krishnamachari

A Novel Graph Aggregation Method Based on Feature Distribution Around Each Ego-node for Heterophily

Shuichiro Haruta, Tatsuya Konishi, Mori Kurokawa

SNAIL: Semi-Separated Uncertainty Adversarial Learning for Universal Domain Adaptation

Zhongyi Han, Wan Su, Rundong He, Yilong Yin

Position-dependent partial convolutions for supervised spatial interpolation

Hirotaka Hachiya, Kotaro Nagayoshi, Asako Iwaki, Takahiro Maeda, Naonori Ueda

BeautifAI - Personalised Occasion-based Makeup Recommendation

Kshitij Gulati, Gaurav Verma, Mukesh Mohania, Ashish Kundu

Circulant-interactive Transformer with Dimension-aware Fusion for Multimodal Sentiment Analysis

Peizhu Gong, Jin Liu, Xiliang Zhang, Xingye Li, Zijun Yu

DALE: Differential Accumulated Local Effects for efficient and accurate global explanations

Vasilis Gkolemis, Theodore Dalamagas, Christos Diou

Multi Label Loss Correction against Missing and Corrupted Labels

Amirmasoud Ghiassi, Robert Birke, Lydia.Y Chen

Trusted Loss Correction for Noisy Multi-Label Learning

Amirmasoud Ghiassi, Cosmin Octavian Pene, Robert Birke, Lydia.Y Chen

Towards Data-Free Domain Generalization

Ahmed Frikha, Haokun Chen, Denis Krompaß, Thomas Runkler, Volker Tresp

Kernelized multi-graph matching

François-Xavier Dupé, Rohit Yadav, Guillaume Auzias, Sylvain Takerkart

A Self-improving Skin Lesions Diagnosis Framework Via Pseudo-labeling and Self-distillation

Shaochang Deng, Mengxiao Yin, Feng Yang

BayesAdapter: Being Bayesian, Inexpensively and Reliably, via Bayesian Fine-tuning

Zhijie Deng, Jun Zhu

Multiple Imputation with Neural Network Gaussian Process for High-dimensional Incomplete Data

Zongyu Dai, Zhiqi Bu, Qi Long

Value Function Approximations via Kernel Embeddings for No-Regret Reinforcement Learning

Sayak Ray Chowdhury, Rafael Oliveira

On the Convergence of Decentralized Adaptive Gradient Methods

Xiangyi Chen, Belhal Karimi, Weijie Zhao, Ping Li

Noisy Riemannian Gradient Descent for Eigenvalue Computation with Application to Inexact Stochastic Recursive Gradient Algorithm

You-Lin Chen, Zhiqiang Xu, Ping Li

Balanced Spatial-Temporal Graph Structure Learning for Multivariate Time Series Forecasting: A Trade-off between Efficiency and Flexibility

Weijun Chen, Yanze Wang, Chengshuo Du, Zhenglong Jia, Feng Liu

ProtoBandit: Efficient Prototype Selection via Multi-Armed Bandits

Arghya Roy Chaudhuri, Pratik Jawanpuria, Bamdev Mishra

A two-stream convolution architecture for ESC based on audio feature distanglement

Zhenghao Chang, Ruhan He, Yongsheng Yu, Zili Zhang, GeLi Bai

Robust Scene Text Detection via Learnable Scene Transformations

Yuheng Cao, Mengjie Zhou, Jie Chen

Fairness Trade-Offs and Partial Debiasing

Francois Buet-Golfouse, Islam Utyagulov

Robust Multi-Objective Reinforcement Learning with Dynamic Preferences

Francois Buet-Golfouse, Parth Pahwa

Learning with Domain Knowledge to Develop Justifiable Convolutional Networks

Rimmon Bhosale, Mrinal Das

On the Episodic Difficulty of Few-shot Learning

Yunwei Bai, Zhenfeng He, Junfeng Hu

Out of Distribution Detection via Neural Network Anchoring

Rushil Anirudh, Jayaraman J. Thiagarajan

Bayesian Change-Point Detection for Bandit Feedback in Non-stationary Environments

Reda Alami

Graph annotation generative adversarial networks

Yoann Boget, Magda Gregorová, Alexandros Kalousis

When to Classify Events in Open Times Series?

Youssef Achenchabe, Alexis Bondu, Cornuéjols Antoine, Lemaire Vincent

Nighttime Semantic Segmentation with Unsupervised Learning and Cross Attention

Jian Cheng, Yang-Feng Hu, Yu Dai, Xue Qiao, Li Yao

Temporal aware Multi-Interest Graph Neural Network for Session-based Recommendation

Qi Shen, Shixuan Zhu, Yitong Pang, Yiming Zhang, Zhihua Wei