Machine Learning

Authors and titles for September 2021

[2101] arXiv:2109.15021 (cross-list from math.OC) [pdf, other]

Title: On Riemannian Approach for Constrained Optimization Model in Extreme Classification Problems

Jayadev Naram, Tanmay Kumar Sinha, Pawan Kumar

Comments: 13 pages, 4 Figures, under review

Subjects: Optimization and Control (math.OC); Machine Learning (cs.LG); Numerical Analysis (math.NA)

[2102] arXiv:2109.15030 (cross-list from math.OC) [pdf, other]

Title: On the Convergence of Projected Alternating Maximization for Equitable and Optimal Transport

Minhui Huang, Shiqian Ma, Lifeng Lai

Subjects: Optimization and Control (math.OC); Machine Learning (cs.LG)

[2103] arXiv:2109.15031 (cross-list from cs.CR) [pdf, other]

Title: Back in Black: A Comparative Evaluation of Recent State-Of-The-Art Black-Box Attacks

Kaleel Mahmood, Rigel Mahmood, Ethan Rathbun, Marten van Dijk

Subjects: Cryptography and Security (cs.CR); Machine Learning (cs.LG)

[2104] arXiv:2109.15045 (cross-list from q-fin.ST) [pdf, other]

Title: Stock Index Prediction using Cointegration test and Quantile Loss

Jaeyoung Cheong, Heejoon Lee, Minjung Kang

Comments: 8pages, 2 figures

Subjects: Statistical Finance (q-fin.ST); Computational Engineering, Finance, and Science (cs.CE); Machine Learning (cs.LG)

[2105] arXiv:2109.15053 (cross-list from cs.SD) [pdf, other]

Title: Fine-tuning wav2vec2 for speaker recognition

Nik Vaessen, David A. van Leeuwen

Comments: accepted to ICASSP 2022

Subjects: Sound (cs.SD); Machine Learning (cs.LG); Audio and Speech Processing (eess.AS)

[2106] arXiv:2109.15057 (cross-list from physics.comp-ph) [pdf, other]

Title: Dynamical symmetry breaking through AI: The dimer self-trapping transition

G. P. Tsironis, G. D. Barmparis, D. K. Campbell

Subjects: Computational Physics (physics.comp-ph); Machine Learning (cs.LG); Exactly Solvable and Integrable Systems (nlin.SI)

[2107] arXiv:2109.15059 (cross-list from q-fin.ST) [pdf, other]

Title: Stock Price Prediction Under Anomalous Circumstances

Jinlong Ruan, Wei Wu, Jiebo Luo

Comments: 8 pages, 5 figures, 3 tables. 2020 IEEE International Conference on Big Data (Big Data)

Journal-ref: 2020 IEEE International Conference on Big Data (Big Data), 2020, pp. 4787-4794

Subjects: Statistical Finance (q-fin.ST); Machine Learning (cs.LG)

[2108] arXiv:2109.15062 (cross-list from stat.ML) [pdf, other]

Title: Towards Principled Causal Effect Estimation by Deep Identifiable Models

Pengzhou Wu, Kenji Fukumizu

Comments: Fully updated. Largely improve clarity, add identification under unconfoundedness (Sec. 4.2), and more. arXiv admin note: substantial text overlap with arXiv:2101.06662

Subjects: Machine Learning (stat.ML); Machine Learning (cs.LG); Econometrics (econ.EM); Methodology (stat.ME)

[2109] arXiv:2109.15063 (cross-list from eess.IV) [pdf, other]

Title: Workflow Augmentation of Video Data for Event Recognition with Time-Sensitive Neural Networks

Andreas Wachter, Werner Nahm

Comments: Submitted to Medical Image Analysis

Subjects: Image and Video Processing (eess.IV); Artificial Intelligence (cs.AI); Computer Vision and Pattern Recognition (cs.CV); Machine Learning (cs.LG)

[2110] arXiv:2109.15068 (cross-list from cs.CV) [pdf, other]

Title: iShape: A First Step Towards Irregular Shape Instance Segmentation

Lei Yang, Yan Zi Wei, Yisheng HE, Wei Sun, Zhenhang Huang, Haibin Huang, Haoqiang Fan

Comments: Project page: this https URL

Subjects: Computer Vision and Pattern Recognition (cs.CV); Machine Learning (cs.LG)

[2111] arXiv:2109.15089 (cross-list from cs.NE) [pdf, other]

Title: Biologically Plausible Training Mechanisms for Self-Supervised Learning in Deep Networks

Mufeng Tang, Yibo Yang, Yali Amit

Comments: To be published in Frontiers in Computational Neuroscience

Subjects: Neural and Evolutionary Computing (cs.NE); Machine Learning (cs.LG); Neurons and Cognition (q-bio.NC)

[2112] arXiv:2109.15101 (cross-list from cs.CL) [pdf, other]

Title: Compositional generalization in semantic parsing with pretrained transformers

A. Emin Orhan

Comments: v3 adds one reference, adds further discussion, slightly changes formatting

Subjects: Computation and Language (cs.CL); Machine Learning (cs.LG); Neural and Evolutionary Computing (cs.NE)

[2113] arXiv:2109.15118 (cross-list from cs.CL) [pdf, other]

Title: Overview of the CLEF-2019 CheckThat!: Automatic Identification and Verification of Claims

Tamer Elsayed, Preslav Nakov, Alberto Barrón-Cedeño, Maram Hasanain, Reem Suwaileh, Giovanni Da San Martino, Pepa Atanasova

Comments: Check-worthiness Estimation, Fact-Checking, Veracity, Evidence-based Verification, Fake News Detection, Computational Journalism, Disinformation, Misinformation. arXiv admin note: text overlap with arXiv:2012.09263 by other authors

Journal-ref: CLEF-2019

Subjects: Computation and Language (cs.CL); Artificial Intelligence (cs.AI); Information Retrieval (cs.IR); Machine Learning (cs.LG); Social and Information Networks (cs.SI)

[2114] arXiv:2109.15120 (cross-list from cs.CL) [pdf, other]

Title: SUper Team at SemEval-2016 Task 3: Building a feature-rich system for community question answering

Tsvetomila Mihaylova, Pepa Gencheva, Martin Boyanov, Ivana Yovcheva, Todor Mihaylov, Momchil Hardalov, Yasen Kiprov, Daniel Balchev, Ivan Koychev, Preslav Nakov, Ivelina Nikolova, Galia Angelova

Comments: community question answering, question-question similarity, question-comment similarity, answer reranking

Journal-ref: SemEval-2016

Subjects: Computation and Language (cs.CL); Artificial Intelligence (cs.AI); Information Retrieval (cs.IR); Machine Learning (cs.LG); Social and Information Networks (cs.SI)

[2115] arXiv:2109.15121 (cross-list from cs.CL) [pdf, other]

Title: Feature-Rich Named Entity Recognition for Bulgarian Using Conditional Random Fields

Georgi Georgiev, Preslav Nakov, Kuzman Ganchev, Petya Osenova, Kiril Ivanov Simov

Comments: named entity recognition, NER, conditional random fields, CRF, Bulgarian, BulTreeBank

Journal-ref: RANLP-2009

Subjects: Computation and Language (cs.CL); Artificial Intelligence (cs.AI); Machine Learning (cs.LG)

[2116] arXiv:2109.15127 (cross-list from eess.AS) [pdf, other]

Title: Real-Time Multi-Level Neonatal Heart and Lung Sound Quality Assessment for Telehealth Applications

Ethan Grooby, Chiranjibi Sitaula, Davood Fattahi, Reza Sameni, Kenneth Tan, Lindsay Zhou, Arrabella King, Ashwin Ramanathan, Atul Malhotra, Guy A. Dumont, Faezeh Marzbanrad

Comments: 13 pages, 8 figures, 3 tables. Paper submitted and under review in IEEE Access

Journal-ref: IEEE Access, 2022

Subjects: Audio and Speech Processing (eess.AS); Machine Learning (cs.LG); Sound (cs.SD); Signal Processing (eess.SP)

[2117] arXiv:2109.15129 (cross-list from eess.SP) [pdf, other]

Title: Convolution-Free Waveform Transformers for Multi-Lead ECG Classification

Annamalai Natarajan, Gregory Boverman, Yale Chang, Corneliu Antonescu, Jonathan Rubin

Comments: Computing in Cardiology - 2021 PhysioNet Challenge

Subjects: Signal Processing (eess.SP); Machine Learning (cs.LG)

[2118] arXiv:2109.15134 (cross-list from stat.ML) [pdf, other]

Title: Variational Marginal Particle Filters

Jinlin Lai, Justin Domke, Daniel Sheldon

Comments: Accepted to AISTATS 2022

Subjects: Machine Learning (stat.ML); Machine Learning (cs.LG)

[2119] arXiv:2109.15136 (cross-list from cs.SI) [pdf, other]

Title: Transfer Learning Based Multi-Objective Genetic Algorithm for Dynamic Community Detection

Jungang Zou, Fan Lin, Siyu Gao, Gaoshan Deng, Wenhua Zeng, Gil Alterovitz

Comments: 40 pages, 11 figures, 8 tables

Subjects: Social and Information Networks (cs.SI); Information Theory (cs.IT); Machine Learning (cs.LG)

[2120] arXiv:2109.15141 (cross-list from cs.SE) [pdf, other]

Title: Predicting Code Review Completion Time in Modern Code Review

Moataz Chouchen, Jefferson Olongo, Ali Ouni, Mohamed Wiem Mkaouer

Comments: 6 pages, 3 figures Registered report for ICSME21

Subjects: Software Engineering (cs.SE); Machine Learning (cs.LG)

[2121] arXiv:2109.15147 (cross-list from cs.AI) [pdf, other]

Title: Reinforcement Learning with Information-Theoretic Actuation

Elliot Catt, Marcus Hutter, Joel Veness

Subjects: Artificial Intelligence (cs.AI); Machine Learning (cs.LG)

[2122] arXiv:2109.15154 (cross-list from econ.EM) [pdf, other]

Title: Causal Matrix Completion

Anish Agarwal, Munther Dahleh, Devavrat Shah, Dennis Shen

Subjects: Econometrics (econ.EM); Machine Learning (cs.LG); Statistics Theory (math.ST); Machine Learning (stat.ML)

[2123] arXiv:2109.15159 (cross-list from cs.CL) [pdf, other]

Title: Focused Contrastive Training for Test-based Constituency Analysis

Benjamin Roth, Erion Çano

Comments: 4 tables, 19 references

Subjects: Computation and Language (cs.CL); Artificial Intelligence (cs.AI); Machine Learning (cs.LG)

[2124] arXiv:2109.15160 (cross-list from cs.CR) [pdf, other]

Title: Mitigating Black-Box Adversarial Attacks via Output Noise Perturbation

Manjushree B. Aithal, Xiaohua Li

Subjects: Cryptography and Security (cs.CR); Machine Learning (cs.LG)

[2125] arXiv:2109.15163 (cross-list from cs.CV) [pdf, other]

Title: HSVA: Hierarchical Semantic-Visual Adaptation for Zero-Shot Learning

Shiming Chen, Guo-Sen Xie, Yang Liu, Qinmu Peng, Baigui Sun, Hao Li, Xinge You, Ling Shao

Comments: Accepted by NeurIPS 2021

Subjects: Computer Vision and Pattern Recognition (cs.CV); Machine Learning (cs.LG)

[2126] arXiv:2109.15233 (cross-list from cs.RO) [pdf, other]

Title: Solving the Real Robot Challenge using Deep Reinforcement Learning

Robert McCarthy, Francisco Roldan Sanchez, Qiang Wang, David Cordova Bulens, Kevin McGuinness, Noel O'Connor, Stephen J. Redmond

Comments: Published in AICS 2021 (this http URL). Paper updated to clarify procedure used to train the policy

Subjects: Robotics (cs.RO); Machine Learning (cs.LG)

[2127] arXiv:2109.15256 (cross-list from cs.CL) [pdf, other]

Title: Inducing Transformer's Compositional Generalization Ability via Auxiliary Sequence Prediction Tasks

Yichen Jiang, Mohit Bansal

Comments: EMNLP 2021 (13 pages)

Subjects: Computation and Language (cs.CL); Artificial Intelligence (cs.AI); Machine Learning (cs.LG)

[2128] arXiv:2109.15266 (cross-list from cs.RO) [pdf, other]

Title: Modeling Interactions of Autonomous Vehicles and Pedestrians with Deep Multi-Agent Reinforcement Learning for Collision Avoidance

Raphael Trumpp, Harald Bayerlein, David Gesbert

Comments: IEEE Intelligent Vehicles Symposium 2022

Subjects: Robotics (cs.RO); Artificial Intelligence (cs.AI); Machine Learning (cs.LG); Multiagent Systems (cs.MA)

[2129] arXiv:2109.15283 (cross-list from eess.IV) [pdf, other]

Title: Bend-Net: Bending Loss Regularized Multitask Learning Network for Nuclei Segmentation in Histopathology Images

Haotian Wang, Aleksandar Vakanski, Changfa Shi, Min Xian

Comments: arXiv admin note: text overlap with arXiv:2002.01020

Subjects: Image and Video Processing (eess.IV); Computer Vision and Pattern Recognition (cs.CV); Machine Learning (cs.LG); Quantitative Methods (q-bio.QM)

[2130] arXiv:2109.15292 (cross-list from math.OC) [pdf, other]

Title: Accelerating Perturbed Stochastic Iterates in Asynchronous Lock-Free Optimization

Kaiwen Zhou, Anthony Man-Cho So, James Cheng

Comments: 21 pages, 22 figures

Subjects: Optimization and Control (math.OC); Machine Learning (cs.LG); Machine Learning (stat.ML)

[2131] arXiv:2109.15310 (cross-list from cs.AI) [pdf, other]

Title: Is Policy Learning Overrated?: Width-Based Planning and Active Learning for Atari

Benjamin Ayton, Masataro Asai

Comments: Accepted in ICAPS 2022, Planning & Learning track. Edits: Title change. Fixed the variance update formula. Updated the scores of $π$-IW as per authors' request. Included the results of DQN and EfficientZero

Subjects: Artificial Intelligence (cs.AI); Machine Learning (cs.LG)

[2132] arXiv:2109.15317 (cross-list from cs.CV) [pdf, other]

Title: Unsupervised Few-Shot Action Recognition via Action-Appearance Aligned Meta-Adaptation

Jay Patravali, Gaurav Mittal, Ye Yu, Fuxin Li, Mei Chen

Comments: ICCV 2021 (Oral)

Subjects: Computer Vision and Pattern Recognition (cs.CV); Artificial Intelligence (cs.AI); Machine Learning (cs.LG)