ACML 2021

115 papers

Fast Rate Learning in Stochastic First Price Bidding

Juliette Achddou, Olivier Cappe, Aurélien Garivier

Hybrid Summarization with Semantic Weighting Reward and Latent Structure Detector

Mingyang Song, Liping Jing, Yi Feng, Zhiwei Sun, Lin Xiao

Unsupervised Cycle-Consistent Network for Removing Susceptibility Artifacts in Single-shot EPI

Weida Xie, Shi Chen, Qingjia Bao, Kewen Liu, Zhao Li

Maximization of Monotone k-Submodular Functions with Bounded Curvature and Non-k-Submodular Functions

Tatsuya Matsuoka, Naoto Ohsaka

Learning Maximum Margin Markov Networks from examples with missing labels

Vojtěch Franc, Andrii Yermakov

Video Action Recognition with Neural Architecture Search

Yuanding Zhou, Baopu Li, Zhihui Wang, Haojie Li

Speaker Diarization as a Fully Online Bandit Learning Problem in MiniVox

Baihan Lin, Xinxin Zhang

Building Decision Tree for Imbalanced Classification via Deep Reinforcement Learning

Guixuan Wen, Kaigui Wu

Augmenting Imbalanced Time-series Data via Adversarial Perturbation in Latent Space

Beomsoo Kim, Jang-Ho Choi, Jaegul Choo

Multi-view Latent Subspace Clustering based on both Global and Local Structure

Zhou Honghan, Cai Weiling, Xu Le, Yang Ming

Bayesian Inference for Optimal Transport with Stochastic Cost

Anton Mallasto, Markus Heinonen, Samuel Kaski

Bayesian nonparametric model for arbitrary cubic partitioning

Masahiro Nakano, Yasuhiro Fujiwara, Akisato Kimura, Takeshi Yamada, Naonori Ueda

Perturbing Eigenvalues with Residual Learning in Graph Convolutional Neural Networks

Shibo Yao, Dantong Yu, Xiangmin Jiao

Learning to Switch Optimizers for Quadratic Programming

Grant Getzelman, Prasanna Balaprakash

Relation Also Need Attention: Integrating Relation Information Into Image Captioning

Tianyu Chen, Zhixin Li, Tiantao Xian, Canlong Zhang, Huifang Ma

Regularized Mutual Learning for Personalized Federated Learning

Ruihong Yang, Junchao Tian, Yu Zhang

Semi-Open Attribute Extraction from Chinese Functional Description Text

Li Zhang, Yanzeng Li, Rouyu Zhang, Wenjie Li

Learn to Predict Vertical Track Irregularity with Extremely Imbalanced Data

Yutao Chen, Yu Zhang, Fei Yang

K^2-GNN: Multiple Users’ Comments Integration with Probabilistic K-Hop Knowledge Graph Neural Networks

Huixin Zhan, Kun Zhang, Chenyi Hu, Victor Sheng

A Two-Stage Training Framework with Feature-Label Matching Mechanism for Learning from Label Proportions

Haoran Yang, Wanjing Zhang, Wai Lam

Multi-scale Salient Instance Segmentation based on Encoder-Decoder

Houru Chen, Caijuan Shi, Wei Li, Changyu Duan, jinwei Yan

Scaling Average-Linkage via Sparse Cluster Embeddings

Thomas Lavastida, Kefu Lu, Benjamin Moseley, Yuyan Wang

A Partial Label Metric Learning Algorithm for Class Imbalanced Data

Wenpeng Liu, Li Wang, Jie Chen, Yu Zhou, Ruirui Zheng

Bayesian neural network unit priors and generalized Weibull-tail property

Mariia Vladimirova, Julyan Arbel, Stéphane Girard

Layer-Wise Neural Network Compression via Layer Fusion

James O’Neill, Greg V. Steeg, Aram Galstyan

Metric Learning for comparison of HMMs using Graph Neural Networks

Rajan Kumar Soni, Karthick Seshadri, Balaraman Ravindran

NAS-HPO-Bench-II: A Benchmark Dataset on Joint Optimization of Convolutional Neural Network Architecture and Training Hyperparameters

Yoichi Hirose, Nozomu Yoshinari, Shinichi Shirakawa

Exposing Cyber-Physical System Weaknesses by Implicitly Learning their Underlying Models

Napoleon Costilla-Enriquez, Yang Weng

Time-Constrained Multi-Agent Path Finding in Non-Lattice Graphs with Deep Reinforcement Learning

Marijn van Knippenberg, Mike Holenderski, Vlado Menkovski

Learning 3-opt heuristics for traveling salesman problem via deep reinforcement learning

Jingyan Sui, Shizhe Ding, Ruizhi Liu, Liming Xu, Dongbo Bu

Bayesian Latent Factor Model for Higher-order Data

Zerui Tao, Xuyang Zhao, Toshihisa Tanaka, Qibin Zhao

Multi-stream based marked point process

Sujun Hong, Hirotaka Hachiya

PFedAtt: Attention-based Personalized Federated Learning on Heterogeneous Clients

Zichen Ma, Yu Lu, Wenye Li, Jinfeng Yi, Shuguang Cui

Robust Domain Randomised Reinforcement Learning through Peer-to-Peer Distillation

Chenyang Zhao, Timothy Hospedales

Physics-inspired Learning for Structure-Aware Texture-Sensitive Underwater Image Enhancement

Xinwei Xue, Zexuan Li, Long Ma, Risheng Liu, Xin Fan

Robust Model-based Reinforcement Learning for Autonomous Greenhouse Control

Wanpeng Zhang, Xiaoyan Cao, Yao Yao, Zhicheng An, Xi Xiao

Revisiting Weight Initialization of Deep Neural Networks

Maciej Skorski, Alessandro Temperoni, Martin Theobald

Ensembling With a Fixed Parameter Budget: When Does It Help and Why?

Didan Deng, Emil Bertram Shi

Lifelong Learning with Branching Experts

Yi-Shan Wu, Yi-Te Hong, Chi-Jen Lu

Deep Structural Contrastive Subspace Clustering

Bo Peng, Wenjie Zhu

Cross-structural Factor-topic Model: Document Analysis with Sophisticated Covariates

Chien Lu, Jaakko Peltonen, Timo Nummenmaa, Jyrki Nummenmaa, Kalervo Järvelin

An online semi-definite programming with a generalised log-determinant regularizer and its applications

Yaxiong Liu, Ken-ichiro Moridomi, Kohei Hatano, Eiji Takimoto

Expert advice problem with noisy low rank loss

Yaxiong Liu, Xuanke Jiang, Kohei Hatano, Eiji Takimoto

Modeling Risky Choices in Unknown Environments

Ville Tanskanen, Chang Rajani, Homayun Afrabandpey, Aini Putkonen, Aurélien Nioche

DAGSurv: Directed Ayclic Graph Based Survival Analysis Using Deep Neural Networks

Ansh Kumar Sharma, Rahul Kukreja, Ranjitha Prasad, Shilpa Rao

ContriQ: Ally-Focused Cooperation and Enemy-Concentrated Confrontation in Multi-Agent Reinforcement Learning

Zhao Chenran, Shi Dianxi, Zhang Yaowen, Yang Huanhuan, Yang Shaowu

Bridging Code-Text Representation Gap using Explanation

Hojae Han, Youngwon Lee, Minsoo Kim, Hwang Seung-won

Transfer Learning with Adaptive Online TrAdaBoost for Data Streams

Ocean Wu, Yun Sing Koh, Gillian Dobbie, Thomas Lacombe

Robust Regression for Monocular Depth Estimation

Julian Lienen, Nils Nommensen, Ralph Ewerth, Eyke Hüllermeier

Lifelong Learning with Sketched Structural Regularization

Haoran Li, Aditya Krishnan, Jingfeng Wu, Soheil Kolouri, Praveen K. Pilly

Neural Graph Filtering for Context-aware Recommendation

Zhang Chuanyan, Hong Xiaoguang

Fangquan Lin, Wei Jiang, Jihai Zhang, Cheng Yang

Efficient Coreset Constructions via Sensitivity Sampling

Vladimir braverman, Dan Feldman, Harry Lang, Adiel Statman, Samson Zhou

Collaborative Novelty Detection for Distributed Data by a Probabilistic Method

Akira Imakura, Xiucai Ye, Tetsuya Sakurai

Geometric Value Iteration: Dynamic Error-Aware KL Regularization for Reinforcement Learning

Toshinori Kitamura, Lingwei Zhu, Takamitsu Matsubara

ExNN-SMOTE: Extended Natural Neighbors Based SMOTE to Deal with Imbalanced Data

Hongjiao Guan, Bin Ma, Yingtao Zhang, Xianglong Tang

Greedy Search Algorithm for Mixed Precision in Post-Training Quantization of Convolutional Neural Network Inspired by Submodular Optimization

Tsuji Satoki, Kawaguchi Hiroshi, Inoue Atsuki, Sakai Yasufumi, Yamada Fuyuka

Asymptotically Exact and Fast Gaussian Copula Models for Imputation of Mixed Data Types

Benjamin Christoffersen, Mark Clements, Keith Humphreys, Hedvig Kjellström

Multi-factor Memory Attentive Model for Knowledge Tracing

Congjie Liu, Xiaoguang Li

Bias-tolerant Fair Classification

YIXUAN ZHANG, Feng Zhou, Zhidong Li, Yang Wang, Fang Chen

Feature Convolutional Networks

He Hu

Improving Hashing Algorithms for Similarity Search via MLE and the Control Variates Trick

Keegan Kang, Sergey Kushnarev, Wei Pin Wong, Rameshwar Pratap, Haikal Yeo

Hierarchical Semantic Segmentation using Psychometric Learning

Lu Yin, Vlado Menkovski, Shwei Liu, Mykola Pechenizkiy

Domain Adaptive YOLO for One-Stage Cross-Domain Detection

Shizhao Zhang, Hongya Tuo, Jian Hu, Zhongliang Jing

Scalable gradient matching based on state space Gaussian Processes

Futoshi Futami

Generating Deep Networks Explanations with Robust Attribution Alignment

Guohang Zeng, Yousef Kowsar, Sarah Erfani, James Bailey

Improving Gaussian mixture latent variable model convergence with Optimal Transport

Benoit Gaujac, Ilya Feige, David Barber

Skew-symmetrically perturbed gradient flow for convex optimization

Futoshi Futami, Tomoharu Iwata, Naonori Ueda, Ikko Yamane

Multi-Branch Network for Cross-Subject EEG-based Emotion Recognition

Guang Lin, Li Zhu, Bin Ren, Yiteng Hu, Jianhai Zhang

Slice-sampling based 3D Object Classification

Zhao Xiangwen, Yang Yi-Jun, Zeng Wei, Yang Liqun, Wang Yao

Beyond L_p Clipping: Equalization based Psychoacoustic Attacks against ASRs

Hadi Abdullah, Muhammad Sajidur Rahman, Christian Peeters, Cassidy Gibson, Washington Garcia

Convolutional Hypercomplex Embeddings for Link Prediction

Caglar Demir, Diego Moussallem, Stefan Heindorf, Axel-Cyrille Ngonga Ngomo

ASD-Conv: Monocular 3D object detection network based on Asymmetrical Segmentation Depth-aware Convolution

Yu Xingyuan, Du Neng, Gao Ge, Wen Fan

calibrated adversarial training

Tianjin Huang, Vlado Menkovski, Yulong Pei, Mykola Pechenizkiy

Pyramid Correlation based Deep Hough Voting for Visual Object Tracking

Ying Wang, Tingfa Xu, Shenwang Jiang, Junjie Chen, Jianan Li

Contrastive Neural Processes for Self-Supervised Learning

Konstantinos Kallidromitis, Denis Gudovskiy, Kozuka Kazuki, Ohama Iku, Luca Rigazio

Multi-task Actor-Critic with Knowledge Transfer via a Shared Critic

Gengzhi Zhang, Liang Feng, Yaqing Hou

Max-Utility Based Arm Selection Strategy For Sequential Query Recommendations

Shameem Puthiya Parambath, Christos Anagnostopoulos, Roderick Murray-Smith, Sean MacAvaney, Evangelos and Zervas

QActor: Active Learning on Noisy Labels

Taraneh Younesian, Zilong Zhao, Amirmasoud Ghiassi, Robert Birke, Lydia Y Chen

Spatial Temporal Enhanced Contrastive and Pretext Learning for Skeleton-based Action Representation

Yiwen Zhan, Yuchen Chen, Pengfei Ren, Haifeng Sun, Jingyu Wang

A Causal Approach for Unfair Edge Prioritization and Discrimination Removal

Balaraman Ravindran Pavan Ravishankar Pranshu Malviya

DPOQ: Dynamic Precision Onion Quantization

Bowen Li, Kai Huang, Siang Chen, Dongliang Xiong, Luc Claesen

Pedestrian Wind Factor Estimation in Complex Urban Environments

Sarah Mokhtar, Matt Beveridge, Yumeng Cao, Iddo Drori

Solving Machine Learning Problems

Sunny Tran, Pranav Krishna, Ishan Pakuwal, Prabhakar Kafle, Nikhil Singh

S2TNet: Spatio-Temporal Transformer Networks for Trajectory Prediction in Autonomous Driving

Weihuang Chen, Fangfang Wang, Hongbin Sun

Dynamic Coordination Graph for Cooperative Multi-Agent Reinforcement Learning

Chapman Siu, Jason Traish, Richard Yi Da Xu

An Optimistic Acceleration of AMSGrad for Nonconvex Optimization

Jun-Kun Wang, Xiaoyun Li, Belhal Karimi, Ping Li

Temporal Relation based Attentive Prototype Network for Few-shot Action Recognition

Guangge Wang, Haihui Ye, Xiao Wang, Weirong Ye, Hanzi Wang

Language Representations for Generalization in Reinforcement Learning

Nikolaj Goodger, Peter Vamplew, Cameron Foale, Richard Dazeley

Open Images V5 Text Annotation and Yet Another Mask Text Spotter

Ilya Krylov, Sergei Nosov, Vladislav Sovrasov

CTS2: Time Series Smoothing with Constrained Reinforcement Learning

Yongshuai Liu, Xin Liu

Penalty Method for Inversion-Free Deep Bilevel Optimization

Akshay Mehra, Jihun Hamm

Iterative Deep Model Compression and Acceleration in the Frequency Domain

Yao Zeng, Xusheng Liu, Lintan Sun, Wenzhong Li, Yuchu Fang

Uplift Modeling with High Class Imbalance

Otto Nyberg, Tomasz Kuśmierczyk, Arto Klami

Sinusoidal Flow: A Fast Invertible Autoregressive Flow

Yumou Wei

DDSAS: Dynamic and Differentiable Space-Architecture Search

Longxing Yang, YU HU, Shun Lu, Zihao Sun, Jilin Mei

SPDE-Net: Neural Network based prediction of stabilization parameter for SUPG technique

Sangeeta Yadav, Sashikumaar Ganesan

Expressive Neural Voice Cloning

Paarth Neekhara, Shehzeen Hussain, Shlomo Dubnov, Farinaz Koushanfar, Julian McAuley

Quaternion Graph Neural Networks

Dai Quoc Nguyen, Tu Dinh Nguyen, Dinh Phung

Cautious Actor-Critic

Lingwei Zhu, Toshinori Kitamura, Matsubara Takamitsu