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ORCIDCoRR, May 2022
- Paul Pu Liang:
Brainish: Formalizing A Multimodal Language for Intelligence and Consciousness. - Christoph von der Malsburg, Thilo Stadelmann
, Benjamin F. Grewe:
A Theory of Natural Intelligence. - Pragaash Ponnusamy, Clint Solomon Mathialagan, Gustavo Aguilar, Chengyuan Ma, Chenlei Guo:
Self-Aware Feedback-Based Self-Learning in Large-Scale Conversational AI. - Syed Mohsin Abbas, Marwan Jalaleddine, Warren J. Gross:
GRAND for Rayleigh Fading Channels. - Jakob Schoeffer:
A Human-Centric Perspective on Fairness and Transparency in Algorithmic Decision-Making. - Sowmya Vajjala, Ramya Balasubramaniam:
What do we Really Know about State of the Art NER? - Wenxuan Zhou, Qiang Ning, Heba Elfardy, Kevin Small, Muhao Chen:
Answer Consolidation: Formulation and Benchmarking. - Alexander Gaskell, Yishu Miao, Lucia Specia, Francesca Toni:
Logically Consistent Adversarial Attacks for Soft Theorem Provers. - Haolun Wu, Bhaskar Mitra, Chen Ma, Fernando Diaz, Xue Liu:
Joint Multisided Exposure Fairness for Recommendation. - Chunting Zhou, Junxian He, Xuezhe Ma, Taylor Berg-Kirkpatrick, Graham Neubig:
Prompt Consistency for Zero-Shot Task Generalization. - ChangSeok Oh, Sangho Lee, Wen Xu, Rohan Devang Vora, Taesoo Kim:
Mitigating Low-volume DoS Attacks with Data-driven Resource Accounting. - Stefan A. Sauter, Céline Torres:
On the Inf-Sup Stabillity of Crouzeix-Raviart Stokes Elements in 3D. - Kevin Hyekang Joo, Shiyuan Duan, Shawna L. Weimer, Mohammad Nayeem Teli:
Birds' Eye View: Measuring Behavior and Posture of Chickens as a Metric for Their Well-Being. - Frédéric Giroire, Nicolas Nisse, Kostiantyn Ohulchanskyi, Malgorzata Sulkowska, Thibaud Trolliet:
Preferential attachment hypergraph with vertex deactivation. - Maria De-Arteaga, Alexandra Chouldechova, Artur Dubrawski:
Doubting AI Predictions: Influence-Driven Second Opinion Recommendation. - Mahdi M. Kalayeh, Shervin Ardeshir, Lingyi Liu, Nagendra Kamath, Ashok Chandrashekar:
On Negative Sampling for Audio-Visual Contrastive Learning from Movies. - Waqas ur Rehman, Rui Bo, Hossein Mehdipourpicha, Jonathan W. Kimball:
Sizing Battery Energy Storage and PV System in an Extreme Fast Charging Station Considering Uncertainties and Battery Degradation. - Eric Hedlin, Helge Rhodin, Kwang Moo Yi:
A Simple Method to Boost Human Pose Estimation Accuracy by Correcting the Joint Regressor for the Human3.6m Dataset. - Joseph Singleton, Richard Booth:
Who's the Expert? On Multi-source Belief Change. - Orlando de Lange, Kellie Dunn, Nadya Peek:
"Short on time and big on ideas": Perspectives from Lab Members on DIYBio Work in Community Biolabs. - Antonella Barisic, Marko Car, Stjepan Bogdan:
Vision-based system for a real-time detection and following of UAV. - Brian Gaudet, Roberto Furfaro:
Line of Sight Curvature for Missile Guidance using Reinforcement Meta-Learning. - Faisal N. Abu-Khzam, Henning Fernau, Benjamin Gras, Mathieu Liedloff, Kevin Mann:
Enumerating Connected Dominating Sets. - Junlin Wu, Andrew Estornell, Lecheng Kong, Yevgeniy Vorobeychik:
Manipulating Elections by Changing Voter Perceptions. - Sina Gharebaghi, Nilanjan Ray Chaudhuri, Ting He, Thomas La Porta:
An Approach for Fast Cascading Failure Simulation in Dynamic Models of Power Systems. - Heng Zhu, Qing Ling:
Bridging Differential Privacy and Byzantine-Robustness via Model Aggregation. - Cara Tursun, Piotr Didyk:
Perceptual Visibility Model for Temporal Contrast Changes in Periphery. - Suhas BN, Saeed Abdullah:
Privacy Sensitive Speech Analysis Using Federated Learning to Assess Depression. - Zhen Zhang, Shuai Zheng, Yida Wang, Justin Chiu, George Karypis, Trishul Chilimbi, Mu Li, Xin Jin:
MiCS: Near-linear Scaling for Training Gigantic Model on Public Cloud. - Srikant Bharadwaj, Shomit Das, Kaushik Mazumdar, Bradford M. Beckmann, Stephen Kosonocky:
Predict; Do not React for Enabling Efficient Fine Grain DVFS in GPUs. - Chuang Niu, Ge Wang:
Unsupervised Contrastive Learning based Transformer for Lung Nodule Detection. - Md Reshad Ul Hoque, Jiang Li, Jian Wu:
SciEv: Finding Scientific Evidence Papers for Scientific News. - Jonathan Geller:
Baba is You is Undecidable. - Ahmed Abdou, Ekta Sood, Philipp Müller, Andreas Bulling:
Gaze-enhanced Crossmodal Embeddings for Emotion Recognition. - Yilun Zhou, Marco Túlio Ribeiro, Julie Shah:
ExSum: From Local Explanations to Model Understanding. - Ziyue Wang, Aozhu Chen, Fan Hu, Xirong Li:
Learn to Understand Negation in Video Retrieval. - Yumou Fei:
Improved Approximation to First-Best Gains-from-Trade. - Aishwarya Jayagopal, Ankireddy Monica Aiswarya, Ankita Garg, Srinivasan Kolumam Nandakumar:
Multimodal Representation Learning With Text and Images. - Yuxin Kong, Canjie Luo, Weihong Ma, Qiyuan Zhu, Shenggao Zhu, Nicholas Jing Yuan, Lianwen Jin:
Look Closer to Supervise Better: One-Shot Font Generation via Component-Based Discriminator. - Abanoub Ghobrial, Xuan Zheng, Darryl Hond, Hamid Asgari, Kerstin Eder:
Operational Adaptation of DNN Classifiers using Elastic Weight Consolidation. - Jake Ryland Williams, Hunter Scott Heidenreich:
To Know by the Company Words Keep and What Else Lies in the Vicinity. - Stephen G. MacDonell:
Quality Assurance in the Context of Contemporary Software Practice. - Jaime Gutierrez, Jorge Jiménez Urroz:
Local permutation polynomials and the action of e-Klenian groups. - Minghui Sun, Cody H. Fleming:
A new safety-guided design methodology to complement model-based safety analysis for safety assurance. - Roberto Leo Medrano, Gray Cortright Thomas, Connor G. Keais, Elliott J. Rouse, Robert D. Gregg:
Real-Time Gait Phase and Task Estimation for Controlling a Powered Ankle Exoskeleton on Extremely Uneven Terrain. - Kunal Sanjay Narkhede, Abhijeet Mangesh Kulkarni, Dhruv Ashwinkumar Thanki, Ioannis Poulakakis:
A Sequential MPC Approach to Reactive Planning for Bipedal Robots. - Libo Zhang, Junyuan Gao, Zhen Xiao, Heng Fan:
AnimalTrack: A Large-scale Benchmark for Multi-Animal Tracking in the Wild. - Yongkun Du, Zhineng Chen, Caiyan Jia, Xiaoting Yin, Tianlun Zheng, Chenxia Li, Yuning Du, Yu-Gang Jiang:
SVTR: Scene Text Recognition with a Single Visual Model. - Yaoru Luo, Guole Liu, Yuanhao Guo, Ge Yang:
Elucidating Meta-Structures of Noisy Labels in Semantic Segmentation by Deep Neural Networks. - (Withdrawn) A Faster Algorithm for Betweenness Centrality Based on Adjacency Matrices.
- Zhijie Deng, Feng Zhou, Jianfei Chen, Guoqiang Wu, Jun Zhu:
Deep Ensemble as a Gaussian Process Approximate Posterior. - Zhijie Deng, Jiaxin Shi, Jun Zhu:
NeuralEF: Deconstructing Kernels by Deep Neural Networks. - Alex Sheng:
An Initial Look at Self-Reprogramming Artificial Intelligence. - Xinyi Shang, Yang Lu, Yiu-ming Cheung, Hanzi Wang:
FEDIC: Federated Learning on Non-IID and Long-Tailed Data via Calibrated Distillation. - Sanghwan Bae, Dong-Hyun Kwak, Sungdong Kim, Donghoon Ham, Soyoung Kang, Sang-Woo Lee, Woo-Myoung Park:
Building a Role Specified Open-Domain Dialogue System Leveraging Large-Scale Language Models. - Vivek Kumar, Rishabh Maheshwary, Vikram Pudi:
Practice Makes a Solver Perfect: Data Augmentation for Math Word Problem Solvers. - Yangcheng Gao, Zhao Zhang, Richang Hong, Haijun Zhang, Jicong Fan, Shuicheng Yan, Meng Wang:
ClusterQ: Semantic Feature Distribution Alignment for Data-Free Quantization. - Mifta Sintaha, Noor Nashid, Ali Mesbah:
Katana: Dual Slicing-Based Context for Learning Bug Fixes. - Katie Seaborn, Peter Pennefather:
Gender neutrality in robots: An open living review framework. - Katie Seaborn, Peter Pennefather:
Neither "Hear" Nor "Their": Interrogating Gender Neutrality in Robots. - Jens Visbech, Allan P. Engsig-Karup, Harry B. Bingham:
A spectral element solution of the 2D linearized potential flow radiation problem. - Daniël Reijsbergen, Aung Maw, Sarad Venugopalan, Dianshi Yang, Tien Tuan Anh Dinh, Jianying Zhou:
Protecting the Integrity of IoT Sensor Data and Firmware With A Feather-Light Blockchain Infrastructure. - Kai Wang, Xiangyu Peng, Shuo Yang, Jianfei Yang, Zheng Zhu, Xinchao Wang, Yang You:
Reliable Label Correction is a Good Booster When Learning with Extremely Noisy Labels. - Jacqueline Urakami, Yeongdae Kim, Hiroki Oura, Katie Seaborn:
Finding Strategies Against Misinformation in Social Media: A Qualitative Study. - Takane Ueno, Yuto Sawa, Yeongdae Kim, Jacqueline Urakami, Hiroki Oura, Katie Seaborn:
Trust in Human-AI Interaction: Scoping Out Models, Measures, and Methods. - Katie Seaborn, Peter Pennefather, Haruki Kotani:
Exploring Gender-Expansive Categorization Options for Robots. - Mengjing Chen, Pingzhong Tang, Zihe Wang, Shenke Xiao, Xiwang Yang:
Optimal Anonymous Independent Reward Scheme Design. - Yifan Yan, Xudong Pan, Yining Wang, Mi Zhang, Min Yang:
Cracking White-box DNN Watermarks via Invariant Neuron Transforms. - Yiliang Liu, Zhou Su, Chi Zhang, Hsiao-Hwa Chen:
Minimization of Secrecy Outage Probability in Reconfigurable Intelligent Surface-Assisted MIMOME System. - Andong Li, Shan You, Guochen Yu, Chengshi Zheng, Xiaodong Li:
Taylor, Can You Hear Me Now? A Taylor-Unfolding Framework for Monaural Speech Enhancement. - Alberto Giaretta:
Security and Privacy in Virtual Reality - A Literature Survey. - Dusica Marijan, Arnaud Gotlieb:
Software Testing for Machine Learning. - Hong-Shuo Chen, Shuowen Hu, Suya You, C.-C. Jay Kuo:
DefakeHop++: An Enhanced Lightweight Deepfake Detector. - Nikolay Karasov, Aleksandr Khvorov, Roman Vasiliev, Yaroslav Golubev, Timofey Bryksin:
Aggregation of Stack Trace Similarities for Crash Report Deduplication. - Wulian Yun, Mengshi Qi, Chuanming Wang, Huiyuan Fu, Huadong Ma:
Coarse-to-Fine Video Denoising with Dual-Stage Spatial-Channel Transformer. - Adrià Fenoy, Filippo Bistaffa, Alessandro Farinelli:
An attention model for the formation of collectives in real-world domains. - Nankai Lin, Yingwen Fu, Xiaotian Lin, Ziyu Yang, Shengyi Jiang:
A New Evaluation Method: Evaluation Data and Metrics for Chinese Grammar Error Correction. - Yi Chen, Chong Han, Ziming Yu, Guangjian Wang:
Channel Measurement, Characterization and Modeling for Terahertz Indoor Communications Above 200 GHz. - Achiya Elyasaf, Tom Yaacov, Gera Weiss:
What Petri Net Obliges Us to Say. - Randy Harsuko, Tariq Alkhalifah:
StorSeismic: A new paradigm in deep learning for seismic processing. - Sue Sin Chong:
Loss Function Entropy Regularization for Diverse Decision Boundaries. - Li Duan, Gerardo Aragon-Camarasa:
Recognising Known Configurations of Garments For Dual-Arm Robotic Flattening. - Yun Kong, Youlong Wu, Minquan Cheng:
Centralized Hierarchical Coded Caching Scheme Over Two-Layer Networks. - Hang Li, Shuai Wang, Shengyao Zhuang, Ahmed Mourad, Xueguang Ma, Jimmy Lin, Guido Zuccon:
To Interpolate or not to Interpolate: PRF, Dense and Sparse Retrievers. - Yusuke Kobayashi, Ryoga Mahara:
Proportional Allocation of Indivisible Goods up to the Least Valued Good on Average. - Runxin Xu, Peiyi Wang, Tianyu Liu, Shuang Zeng, Baobao Chang, Zhifang Sui:
A Two-Stream AMR-enhanced Model for Document-level Event Argument Extraction. - Sue Sin Chong:
Approximating Permutations with Neural Network Components for Travelling Photographer Problem. - Yushan Li, Jianping He, Lin Cai, Xinping Guan:
Local Topology Inference of Mobile Robotic Networks under Formation Control. - Christian Korte, Till Luetje, Stefan M. Goetz:
Synchronous Multistep Predictive Spectral Control of the Switching Distortion in DC-DC Converters. - Yifan Gao:
PGD: A Large-scale Professional Go Dataset for Data-driven Analytics. - Xidong Mu, Yuanwei Liu, Li Guo, Jiaru Lin, Lajos Hanzo:
Joint Radar and Multicast-Unicast Communication: A NOMA Aided Framework. - Di Jin, Cuiying Huo, Jianwu Dang, Peican Zhu, Weixiong Zhang, Witold Pedrycz, Lingfei Wu:
Heterogeneous Graph Neural Networks using Self-supervised Reciprocally Contrastive Learning. - Yubin Guo, Haobo Jiang, Xinlei Qi, Jin Xie, Cheng-Zhong Xu, Hui Kong:
Unsupervised Visible-light Images Guided Cross-Spectrum Depth Estimation from Dual-Modality Cameras. - Chengyu Wang, Minghui Qiu, Taolin Zhang, Tingting Liu, Lei Li, Jianing Wang, Ming Wang, Jun Huang, Wei Lin:
EasyNLP: A Comprehensive and Easy-to-use Toolkit for Natural Language Processing. - Claudio Ferrari, Mark Niklas Müller, Nikola Jovanovic, Martin T. Vechev:
Complete Verification via Multi-Neuron Relaxation Guided Branch-and-Bound. - Mehdi Soleiman Nejad, Meysam Varasteh, Hadi Moradi, Mohammad Amin Sadeghi:
Designing a Sequential Recommendation System for Heterogeneous Interactions Using Transformers. - Ivan Vulic, Goran Glavas, Fangyu Liu, Nigel Collier, Edoardo Maria Ponti, Anna Korhonen:
Exposing Cross-Lingual Lexical Knowledge from Multilingual Sentence Encoders. - Hongwei Zhang, Shuo Shao, Meixia Tao, Xiaoyan Bi, Khaled B. Letaief:
Deep Learning-Enabled Semantic Communication Systems with Task-Unaware Transmitter and Dynamic Data. - Li Yang, Yan Xu, Chunfeng Yuan, Wei Liu, Bing Li, Weiming Hu:
Improving Visual Grounding with Visual-Linguistic Verification and Iterative Reasoning. - Zixian Huang, Ao Wu, Jiaying Zhou, Yu Gu, Yue Zhao, Gong Cheng:
Clues Before Answers: Generation-Enhanced Multiple-Choice QA. - Xinyu Yang, Tilo Burghardt, Majid Mirmehdi:
Dynamic Curriculum Learning for Great Ape Detection in the Wild. - Thijs van der Horst, Maarten Löffler, Frank Staals:
Chromatic k-Nearest Neighbor Queries. - Qian Ma, Wei Gao, Qiang Xiao, Lingsong Ding, Tianyi Gao, Yajun Zhou, Xinxin Gao, Tao Yan, Che Liu, Ze Gu, Xianghong Kong, Qammer H. Abbasi, Lianlin Li, Cheng-Wei Qiu, Yuanqing Li, Tie Jun Cui:
Directly wireless communication of human minds via non-invasive brain-computer-metasurface platform. - Shaojie Li, Sheng Ouyang, Yong Liu:
Understanding the Generalization Performance of Spectral Clustering Algorithms. - Shaily Desai, Atharva Kshirsagar, Aditi Sidnerlikar, Nikhil Khodake, Manisha Marathe:
Leveraging Emotion-specific Features to Improve Transformer Performance for Emotion Classification. - Carlo Bellacoscia:
Flexible skyline: overview and applicability. - Ashish Jaiswal, Mohammad Zaki Zadeh, Aref Hebri, Fillia Makedon:
Assessing Fatigue with Multimodal Wearable Sensors and Machine Learning. - Lasse Peters, David Fridovich-Keil, Laura Ferranti, Cyrill Stachniss, Javier Alonso-Mora, Forrest Laine:
Learning Mixed Strategies in Trajectory Games. - Konstantin Sozykin, Andrei Chertkov, Roman Schutski, Anh Huy Phan, Andrzej Cichocki, Ivan V. Oseledets:
TTOpt: A Maximum Volume Quantized Tensor Train-based Optimization and its Application to Reinforcement Learning. - Yisi Sang, Xiangyang Mou, Jing Li, Jeffrey M. Stanton, Mo Yu:
A Survey of Machine Narrative Reading Comprehension Assessments. - Fan Yan, Ming Nie, Xinyue Cai, Jianhua Han, Hang Xu, Zhen Yang, Chaoqiang Ye, Yanwei Fu, Michael Bi Mi, Li Zhang:
ONCE-3DLanes: Building Monocular 3D Lane Detection. - Pengbo Hu, Xingyu Li, Yi Zhou:
SHAPE: An Unified Approach to Evaluate the Contribution and Cooperation of Individual Modalities. - Min Zhou, Chenchen Xu, Ye Ma, Tiezheng Ge, Yuning Jiang, Weiwei Xu:
Composition-aware Graphic Layout GAN for Visual-textual Presentation Designs. - Chin-Lun Fu, Zih-Ching Chen, Yun-Ru Lee, Hung-yi Lee:
AdapterBias: Parameter-efficient Token-dependent Representation Shift for Adapters in NLP Tasks. - Praneeth Chityala, Claudia M. Costa, Julie A. Wernert, Craig A. Stewart:
Cyberinfrastructure Value: a survey on perceived importance and usage. - Tianxin Tao, Matthew Wilson, Ruiyu Gou, Michiel van de Panne:
Learning to Get Up. - Yelena Mejova, Jisun An, Gianmarco De Francisci Morales, Haewoon Kwak:
Modeling Political Activism around Gun Debate via Social Media. - Daehan Kim, Minseok Seo, Jinsun Park, Dong-Geol Choi:
Source Domain Subset Sampling for Semi-Supervised Domain Adaptation in Semantic Segmentation. - Cheng-Te Li, Cheng Hsu, Yang Zhang:
FairSR: Fairness-aware Sequential Recommendation through Multi-Task Learning with Preference Graph Embeddings. - Yoon A. Park, Frank Rudzicz:
Detoxifying Language Models with a Toxic Corpus. - Blair Subbaraman, Nadya Peek:
p5.fab: Direct Control of Digital Fabrication Machines from a Creative Coding Environment. - Mithun Das, Punyajoy Saha, Binny Mathew, Animesh Mukherjee:
HateCheckHIn: Evaluating Hindi Hate Speech Detection Models. - Oleksiy Ostapenko, Timothée Lesort, Pau Rodríguez, Md Rifat Arefin, Arthur Douillard, Irina Rish, Laurent Charlin:
Foundational Models for Continual Learning: An Empirical Study of Latent Replay. - Wei Jiang, Hans Dieter Schotten:
Dual-Beam Intelligent Reflecting Surface for Millimeter and THz Communications. - Wei Jiang, Hans D. Schotten:
Opportunistic AP Selection in Cell-Free Massive MIMO-OFDM Systems. - Guruprasad Raghavan, Matt Thomson:
Engineering flexible machine learning systems by traversing functionally invariant paths in weight space. - Nikos Barakitis:
Spectral Analysis and Preconditioned Iterative Solvers for Large Structured Linear Systems. - Vishwas Bhargava, Sumanta Ghosh, Zeyu Guo, Mrinal Kumar, Chris Umans:
Fast Multivariate Multipoint Evaluation Over All Finite Fields. - Kushal Chawla, Gale M. Lucas, Jonathan May, Jonathan Gratch:
Opponent Modeling in Negotiation Dialogues by Related Data Adaptation. - Kerem Turgutlu, Sanat Sharma, Jayant Kumar:
LayoutBERT: Masked Language Layout Model for Object Insertion. - Ahmed A. A. Elhag, Gabriele Corso, Hannes Stärk, Michael M. Bronstein:
Graph Anisotropic Diffusion. - Xu Wang, Simin Fan, Jessica Houghton, Lu Wang:
Towards Process-Oriented, Modular, and Versatile Question Generation that Meets Educational Needs. - Jonathan Brophy, Zayd Hammoudeh, Daniel Lowd:
Adapting and Evaluating Influence-Estimation Methods for Gradient-Boosted Decision Trees. - Aline R. Ioste, Alan M. Durham, Marcelo Finger:
Combined Learning of Neural Network Weights for Privacy in Collaborative Tasks. - Fangyu Liu, Guy Emerson, Nigel Collier:
Visual Spatial Reasoning. - Burhan Ahmad Mudassar, Sho Ko, Maojingjing Li, Priyabrata Saha, Saibal Mukhopadhyay:
RADNet: A Deep Neural Network Model for Robust Perception in Moving Autonomous Systems. - Venkat Margapuri, Trevor Rife, Chaney Courtney, Brandon Schlautman, Kai Zhao, Mitchell L. Neilsen:
Fractional Vegetation Cover Estimation using Hough Lines and Linear Iterative Clustering. - Ichiro Maruta, Toshiharu Sugie:
Direct closed-loop identification of continuous-time systems using fixed-pole observer model. - Shokoufeh Naderi, Maude J. Blondin, Behrooz Rezaie:
Optimizing an Adaptive Fuzzy Logic Controller of a 3-DOF Helicopter with a Modified PSO Algorithm. - Moses Charikar, Erik Waingarten:
The Johnson-Lindenstrauss Lemma for Clustering and Subspace Approximation: From Coresets to Dimension Reduction. - Paul Griffioen, Bruce H. Krogh, Bruno Sinopoli:
Ensuring Resilience Against Stealthy Attacks on Cyber-Physical Systems. - Naifan Li, Fan Song, Ying Zhang, Pengpeng Liang, Erkang Cheng:
Traffic Context Aware Data Augmentation for Rare Object Detection in Autonomous Driving. - Haoming Guo, Tianyi Huang, Huixuan Huang, Mingyue Fan, Gerald Friedland:
Detecting COVID-19 Conspiracy Theories with Transformers and TF-IDF. - Yulong Chen, Ming Zhong, Xuefeng Bai, Naihao Deng, Jing Li, Xianchao Zhu, Yue Zhang:
The Cross-lingual Conversation Summarization Challenge. - Jinsheng Wei, Wei Peng, Guanming Lu, Yante Li, Jingjie Yan, Guoying Zhao:
Geometric Graph Representation with Learnable Graph Structure and Adaptive AU Constraint for Micro-Expression Recognition. - Ziaur Rahman, Xun Yi, Sk. Tanzir Mehedi, Rafiqul Islam, Andrei Kelarev:
Blockchain Applicability for the Internet of Things: Performance and Scalability Challenges and Solutions. - Jichao Yin, Hu Wang, Shuhao Li, Daozhen Guo:
Adaptive auxiliary reduced model reanalysis-based efficient topology optimization method. - Meisin Lee, Lay-Ki Soon, Eu-Gene Siew:
Crude Oil-related Events Extraction and Processing: A Transfer Learning Approach. - Shutong Ni:
Abnormal-aware Multi-person Evaluation System with Improved Fuzzy Weighting. - Vishal Venkatraman, Shantanu Pal, Zahra Jadidi, Alireza Jolfaei:
A Conceptual Trust Management Framework under Uncertainty for Smart Vehicular Networks. - Yaojian Chen, Yong Liu, Xinmin Shi, Jiawei Song, Xin Liu, Lin Gan, Chu Guo, Haohuan Fu, Dexun Chen, Guangwen Yang:
Lifetime-based Method for Quantum Simulation on a New Sunway Supercomputer. - Shabnam Behzad, Keisuke Sakaguchi, Nathan Schneider, Amir Zeldes:
ELQA: A Corpus of Questions and Answers about the English Language. - GyeongTaek Lee:
Learning user-defined sub-goals using memory editing in reinforcement learning. - Qinying Liu, Zilei Wang, Ruoxi Chen, Zhilin Li:
Convex Combination Consistency between Neighbors for Weakly-supervised Action Localization. - Jeremiah Zhe Liu, Shreyas Padhy, Jie Ren, Zi Lin, Yeming Wen, Ghassen Jerfel, Zack Nado, Jasper Snoek, Dustin Tran, Balaji Lakshminarayanan:
A Simple Approach to Improve Single-Model Deep Uncertainty via Distance-Awareness. - Hanwen Kang, Xing Wang, Chao Chen:
Accurate Fruit Localisation for Robotic Harvesting using High Resolution LiDAR-Camera Fusion. - Onel L. Alcaraz López, Glauber Brante, Richard D. Souza, Markku J. Juntti, Matti Latva-aho:
Coordinated Pilot Transmissions for Detecting the Signal Sparsity Level in a Massive IoT Network under Rayleigh Fading. - Rhoan Lee, Soohyun Park, Soyi Jung, Joongheon Kim:
Quality-Aware Real-Time Augmented Reality Visualization under Delay Constraints. - Yan Jiang, Wenqi Cui, Baosen Zhang, Jorge Cortés:
Stable Reinforcement Learning for Optimal Frequency Control: A Distributed Averaging-Based Integral Approach. - Mihir Parmar, Swaroop Mishra, Mor Geva, Chitta Baral:
Don't Blame the Annotator: Bias Already Starts in the Annotation Instructions. - Hyeon Jeon, Hyung-Kwon Ko, Soohyun Lee, Jaemin Jo, Jinwook Seo:
Uniform Manifold Approximation with Two-phase Optimization. - Cheng Chen, Yudong Zhu, Zhenshan Tan, Qingrong Cheng, Xin Jiang, Qun Liu, Xiaodong Gu:
UTC: A Unified Transformer with Inter-Task Contrastive Learning for Visual Dialog. - Kesu Wang, Meng Yan, He Zhang, Haibo Hu:
Unified Abstract Syntax Tree Representation Learning for Cross-Language Program Classification. - Dong Xing, Qian Zheng, Qianhui Liu, Gang Pan:
TinyLight: Adaptive Traffic Signal Control on Devices with Extremely Limited Resources. - Lorenzo Miretti, Renato L. G. Cavalcante, Slawomir Stanczak, Martin Schubert, Ronald Boehnke, Wen Xu:
Closed-form max-min power control for some cellular and cell-free massive MIMO networks. - Ruonan Li, Yutao Tang, Shurong Li:
Positive Consensus for Heterogeneous Multi-agent Systems. - Jagdish Chand Bansal, Nikhil Sethi, Ogbonnaya Anicho, Atulya Nagar:
Drone Flocking Optimization using NSGA-II and Principal Component Analysis. - Tingdi Ren, Haiyong Xu, Gangyi Jiang, Mei Yu, Ting Luo:
Reinforced Swin-Convs Transformer for Underwater Image Enhancement. - Héber Hwang Arcolezi, Jean-François Couchot, Denis Renaud, Bechara al Bouna, Xiaokui Xiao:
Differentially Private Multivariate Time Series Forecasting of Aggregated Human Mobility With Deep Learning: Input or Gradient Perturbation? - Raghav R, Adarsh Vemali, Rajdeep Mukherjee:
ETMS@IITKGP at SemEval-2022 Task 10: Structured Sentiment Analysis Using A Generative Approach. - Jedrzej Olkowski, Michal Pilipczuk, Mateusz Rychlicki, Karol Wegrzycki, Anna Zych-Pawlewicz:
Dynamic data structures for parameterized string problems. - Arnab Maiti, Palash Dey:
On Binary Networked Public Goods Game with Altruism. - Ehud Karpas, Omri Abend, Yonatan Belinkov, Barak Lenz, Opher Lieber, Nir Ratner, Yoav Shoham, Hofit Bata, Yoav Levine, Kevin Leyton-Brown, Dor Muhlgay, Noam Rozen, Erez Schwartz, Gal Shachaf, Shai Shalev-Shwartz, Amnon Shashua, Moshe Tennenholtz:
MRKL Systems: A modular, neuro-symbolic architecture that combines large language models, external knowledge sources and discrete reasoning. - Fatemeh Seifan, Lutz Schröder, Dirk Pattinson:
Uniform Interpolation in Coalgebraic Modal Logic. - Dennis J. N. J. Soemers, Éric Piette, Matthew Stephenson, Cameron Browne:
The Ludii Game Description Language is Universal. - Wilton O. Júnior, Mauricio S. da Cruz, André Brasil Vieira Wyzykowski, Arnaldo Bispo de Jesus:
The use of Data Augmentation as a technique for improving neural network accuracy in detecting fake news about COVID-19. - Qian Zuo, Yimin Wei, Hua Xiang:
Quantum-inspired algorithm for truncated total least squares solution. - Dinuka Piyadigama, Guhanathan Poravi:
An Analysis of the Features Considerable for NFT Recommendations. - Qingyan Meng, Mingqing Xiao, Shen Yan, Yisen Wang, Zhouchen Lin, Zhi-Quan Luo:
Training High-Performance Low-Latency Spiking Neural Networks by Differentiation on Spike Representation. - Calvin Flack, Emin Ucer, Charles Parker Smith, Mithat C. Kisacikoglu:
Controller Hardware-in-the-loop (C-HIL) Testing of Decentralized EV-Grid Integration. - Yixin Cheng, Bernardo Pereira Nunes:
The use of Semantic Technologies in Computer Science Curriculum: A Systematic Review. - Adel Daoud, Connor T. Jerzak, Richard Johansson:
Conceptualizing Treatment Leakage in Text-based Causal Inference. - Federico Pigozzi:
Shape Change and Control of Pressure-based Soft Agents. - Konstantin D. Pandl, Florian Leiser, Scott Thiebes, Ali Sunyaev:
Reward Systems for Trustworthy Medical Federated Learning. - Xiuxian Li, Lihua Xie, Na Li:
A Survey of Decentralized Online Learning. - Andrei Constantinescu, Roger Wattenhofer:
Voting in Two-Crossing Elections. - Joel D. Day, Vijay Ganesh, Nathan Grewal, Florin Manea:
Formal Languages via Theories over Strings. - Yang Zhou, Wee Sun Lee:
None Class Ranking Loss for Document-Level Relation Extraction. - Jian Li, Yong Liu, Yingying Zhang:
Ridgeless Regression with Random Features. - Zhixian Yang, Renliang Sun, Xiaojun Wan:
Nearest Neighbor Knowledge Distillation for Neural Machine Translation. - Guangwen Li, Xiao Yu:
Boost decoding performance of finite geometry LDPC codes with deep learning tactics. - Songlin Yang, Wei Liu, Kewei Tu:
Dynamic Programming in Rank Space: Scaling Structured Inference with Low-Rank HMMs and PCFGs. - Liuhui Deng, Roger Hsiao, Arnab Ghoshal:
Bilingual End-to-End ASR with Byte-Level Subwords. - Rustem Takhanov:
On the speed of uniform convergence in Mercer's theorem. - Bowen Gu, Dong Li, Yongjun Xu, Chunguo Li, Sumei Sun:
Many a little Makes a Mickle: Probing Backscattering Energy Recycling for Backscatter Communications. - Niclas Boehmer, Piotr Faliszewski, Rolf Niedermeier, Stanislaw Szufa, Tomasz Was:
Understanding Distance Measures Among Elections. - Jiaju Lin, Qin Chen, Jie Zhou, Jian Jin, Liang He:
CUP: Curriculum Learning based Prompt Tuning for Implicit Event Argument Extraction. - Yuanbo Hou, Bo Kang, Wout Van Hauwermeiren, Dick Botteldooren:
Relation-guided acoustic scene classification aided with event embeddings. - Nitesh Goyal, Ian Kivlichan, Rachel Rosen, Lucy Vasserman:
Is Your Toxicity My Toxicity? Exploring the Impact of Rater Identity on Toxicity Annotation. - Yang Zhou, Zhanhao He, Keyu Lu, Guanhong Wang, Gaoang Wang:
Preserve Pre-trained Knowledge: Transfer Learning With Self-Distillation For Action Recognition. - Zhe Wang, Jimei Yang, Charless C. Fowlkes:
The Best of Both Worlds: Combining Model-based and Nonparametric Approaches for 3D Human Body Estimation. - Jussi Karlgren:
Textual Stylistic Variation: Choices, Genres and Individuals. - (Withdrawn) An Early Fault Detection Method of Rotating Machines Based on Multiple Feature Fusion with Stacking Architecture.
- Jussi Karlgren:
Conventions and Mutual Expectations - understanding sources for web genres. - Ilya Tyuryukanov, Marjan Popov, Jorrit A. Bos, Mart A. M. M. van der Meijden, Vladimir V. Terzija:
Controlled Power System Separation Using Generator PMU Data and System Kinetic Energy. - Minglei Yang, Guannan Zhang, Diego del-Castillo-Negrete, Yanzhao Cao:
A probabilistic scheme for semilinear nonlocal diffusion equations with volume constraints. - Wenzheng Zhao:
Accurate non-stationary short-term traffic flow prediction method. - Rahul Vaze:
Scheduling for Multi-Phase Parallelizable Jobs. - Eleonora Giunchiglia, Mihaela Catalina Stoian, Thomas Lukasiewicz:
Deep Learning with Logical Constraints. - Akshat Goel, Denise Gorse:
Deep vs. Shallow Learning: A Benchmark Study in Low Magnitude Earthquake Detection. - Pranay Bhardwaj, Syed Mohammad Zafaruddin:
Performance Analysis of Cooperative Relaying for Multi-Antenna RF Transmissions over THz Wireless Link. - Jenni Raitoharju, Alexandros Iosifidis:
Generalized Reference Kernel for One-class Classification. - Michael Ridley:
Can Information Behaviour Inform Machine Learning? - Nadia Creignou, Arnaud Durand, Heribert Vollmer:
Enumeration Classes Defined by Circuits. - Xiaohan Zhang, Bharat Lal Bhatnagar, Vladimir Guzov, Sebastian Starke, Gerard Pons-Moll:
COUCH: Towards Controllable Human-Chair Interactions. - Caitlin Freeman, Michael Maynard, Vishesh Vikas:
Topology and morphology design of spherically reconfigurable homogeneous Modular Soft Robots (MSoRos). - Ning Wang, Han Liu, Diego Klabjan:
Large-Scale Multi-Document Summarization with Information Extraction and Compression. - Saira Bano, Achilles Machumilane, Lorenzo Valerio, Pietro Cassarà, Alberto Gotta:
Federated Semi-Supervised Classification of Multimedia Flows for 3D Networks. - Masahiro Kaneko, Aizhan Imankulova, Danushka Bollegala, Naoaki Okazaki:
Gender Bias in Masked Language Models for Multiple Languages. - Rohan Chandra, Mingyu Wang, Mac Schwager, Dinesh Manocha:
Game-Theoretic Planning for Autonomous Driving among Risk-Aware Human Drivers. - Valentin Vie, Ryan Sheatsley, Sophia Beyda, Sushrut Shringarputale, Kevin S. Chan, Trent Jaeger, Patrick D. McDaniel:
Adversarial Plannning. - Nolan H. Hamilton, Errin W. Fulp:
Budgeted Classification with Rejection: An Evolutionary Method with Multiple Objectives. - Juan Pablo Aguilera Ozuna, Martín Diéguez, David Fernández-Duque, Brett McLean:
Time and Gödel: Fuzzy temporal reasoning in PSPACE. - Xiaolong He, Jiun-Shyan Chen:
Thermodynamically Consistent Machine-Learned Internal State Variable Approach for Data-Driven Modeling of Path-Dependent Materials. - Kevin Zeng, Alec J. Linot, Michael D. Graham:
Data-driven control of spatiotemporal chaos with reduced-order neural ODE-based models and reinforcement learning. - Mundher Mohammed Taresh, Ningbo Zhu, Talal Ahmed Ali Ali, Mohammed Alghaili, Weihua Guo:
Using a novel fractional-order gradient method for CNN back-propagation. - Ali Ahmadvand, Negar Arabzadeh, Julia Kiseleva, Patricio Figueroa Sanz, Xin Deng, Sujay Kumar Jauhar, Michael Gamon, Eugene Agichtein, Ned Friend, Aniruddha:
Supporting Complex Information-Seeking Tasks with Implicit Constraints. - Benedikt Bitterli, Eugene d'Eon:
A Position-Free Path Integral for Homogeneous Slabs and Multiple Scattering on Smith Microfacets. - Jiashuo Jiang, Will Ma, Jiawei Zhang:
Tightness without Counterexamples: A New Approach and New Results for Prophet Inequalities. - Hailong Sheng, Chao Yang:
PFNN-2: A Domain Decomposed Penalty-Free Neural Network Method for Solving Partial Differential Equations. - Kejun Chen, Yu Zhang:
Variation-cognizant Probabilistic Power Flow Analysis via Multi-task Learning. - Hongquan Zhu, Xincheng He, Lei Xu:
HatCUP: Hybrid Analysis and Attention based Just-In-Time Comment Updating. - Deepanshu Kush, Shubhangi Saraf:
Improved Low-Depth Set-Multilinear Circuit Lower Bounds. - Tianyuan Zhang, Xuanyao Chen, Yue Wang, Yilun Wang, Hang Zhao:
MUTR3D: A Multi-camera Tracking Framework via 3D-to-2D Queries. - Stephen Powers, Carlo Pinciroli:
Extracting Symbolic Models of Collective Behaviors with Graph Neural Networks and Macro-Micro Evolution. - Zhewei Sun, Richard S. Zemel, Yang Xu:
Semantically Informed Slang Interpretation. - Dawei Wang, Kirill Serkh, Christina C. Christara:
A high-order deferred correction method for the solution of free boundary problems using penalty iteration, with an application to American option pricing. - Bram Wasti, José Pablo Cambronero, Benoit Steiner, Hugh Leather, Aleksandar Zlateski:
LoopStack: a Lightweight Tensor Algebra Compiler Stack. - Yujian Liu, Xinliang Frederick Zhang, David Wegsman, Nick Beauchamp, Lu Wang:
POLITICS: Pretraining with Same-story Article Comparison for Ideology Prediction and Stance Detection. - Angelica Chen, Vicky Zayats, Daniel D. Walker, Dirk Padfield:
Teaching BERT to Wait: Balancing Accuracy and Latency for Streaming Disfluency Detection. - Jinho Choi, Seng W. Loke, Jihong Park:
A Unified Approach to Semantic Information and Communication based on Probabilistic Logic. - Dajun Du, Changda Zhang, Xue Li, Minrui Fei, Huiyu Zhou:
Attack Detection for Networked Control Systems Using Event-Triggered Dynamic Watermarking. - Meiby Ortiz-Bouza, Selin Aviyente:
Community detection in multiplex networks based on orthogonal nonnegative matrix tri-factorization. - Yuqian Chen, Chaoyi Zhang, Tengfei Xue, Yang Song, Nikos Makris, Yogesh Rathi, Tom Weidong Cai, Fan Zhang, Lauren J. O'Donnell:
DFC: Anatomically Informed Fiber Clustering with Self-supervised Deep Learning for Fast and Effective Tractography Parcellation. - Axel Wismüller, Larry Stockmaster, M. Ali Vosoughi:
Re-defining Radiology Quality Assurance (QA) - Artificial Intelligence (AI)-Based QA by Restricted Investigation of Unequal Scores (AQUARIUS). - Thuan N. A. Trang, Thieu N. Vo, Khuong D. Nguyen:
Design equivariant neural networks for 3D point cloud. - Shoujie Tong, Qingxiu Dong, Damai Dai, Yifan Song, Tianyu Liu, Baobao Chang, Zhifang Sui:
Robust Fine-tuning via Perturbation and Interpolation from In-batch Instances. - Yaxin Li, Xiaorui Liu, Han Xu, Wentao Wang, Jiliang Tang:
Enhancing Adversarial Training with Feature Separability. - Chenchen Ding:
A Two Parameters Equation for Word Rank-Frequency Relation. - Jack Lindsey, James B. Aimone:
Sequence Learning and Consolidation on Loihi using On-chip Plasticity. - Kun Zhou, Beichen Zhang, Wayne Xin Zhao, Ji-Rong Wen:
Debiased Contrastive Learning of Unsupervised Sentence Representations. - Zhao Song, Baocheng Sun, Omri Weinstein, Ruizhe Zhang:
Sparse Fourier Transform over Lattices: A Unified Approach to Signal Reconstruction. - Bowen Liang, Pidong Wang, Yuan Cao:
The Implicit Length Bias of Label Smoothing on Beam Search Decoding. - Runzhou Tao, Yunong Shi, Jianan Yao, Xupeng Li, Ali Javadi-Abhari, Andrew W. Cross, Frederic T. Chong, Ronghui Gu:
Giallar: Push-Button Verification for the Qiskit Quantum Compiler. - Debopriyo Banerjee, Harsh Maheshwari, Lucky Dhakad, Arnab Bhattacharya, Niloy Ganguly, Muthusamy Chelliah, Suyash Agarwal:
An Application to Generate Style Guided Compatible Outfit. - Michael Weiss, Paolo Tonella:
Simple Techniques Work Surprisingly Well for Neural Network Test Prioritization and Active Learning (Replicability Study). - Rui Shu, Tianpei Xia, Huy Tu, Laurie A. Williams, Tim Menzies:
Reducing the Cost of Training Security Classifier (via Optimized Semi-Supervised Learning). - Yoshua Bengio, Prateek Gupta, Dylan R. Radovic, Maarten Scholl, Andrew Williams, Christian Schröder de Witt, Tianyu Zhang, Yang Zhang:
(Private)-Retroactive Carbon Pricing [(P)ReCaP]: A Market-based Approach for Climate Finance and Risk Assessment. - Sayed Kamaledin Ghiasi Shirazi:
Revisiting Classical Multiclass Linear Discriminant Analysis with a Novel Prototype-based Interpretable Solution. - Han Xiang Choong, Yew-Soon Ong, Abhishek Gupta, Ray Lim:
Jack and Masters of All Trades: One-Pass Learning of a Set of Model Sets from Foundation Models. - Aditya Ahuja:
SightSteeple: Agreeing to Disagree with Functional Blockchain Consensus. - Bas van den Heuvel, Joseph W. N. Paulus, Daniele Nantes-Sobrinho, Jorge A. Pérez:
Functions as Processes: The Case of Collapsing Non-determinism. - Xinyuan Lu, Shengyuan Huang, Li Niu, Wenyan Cong, Liqing Zhang:
Deep Video Harmonization with Color Mapping Consistency. - HeeSun Bae, Seungjae Shin, Byeonghu Na, JoonHo Jang, Kyungwoo Song, Il-Chul Moon:
From Noisy Prediction to True Label: Noisy Prediction Calibration via Generative Model. - Wei Jiang, Hans Dieter Schotten:
Initial Beamforming for Millimeter-Wave and Terahertz Communications in 6G Mobile Systems. - Nan Hu, Xiaoqi Qin, Nan Ma, Yiming Liu, Yuanyuan Yao, Ping Zhang:
Energy-efficient Caching and Task offloading for Timely Status Updates in UAV-assisted VANETs. - Ya-Hsin Chang, Yun-Nung Chen:
Contrastive Learning for Improving ASR Robustness in Spoken Language Understanding. - Melissa Sanabria, Frédéric Precioso, Pierre-Alexandre Mattei, Thomas Menguy:
A Multi-stage deep architecture for summary generation of soccer videos. - Adrien Banse, Zheming Wang, Raphaël M. Jungers:
Learning stability guarantees for data-driven constrained switching linear systems. - Adrien Banse, Zheming Wang, Raphaël M. Jungers:
Black-box stability analysis of hybrid systems with sample-based multiple Lyapunov functions. - Felix Stahlberg, Shankar Kumar:
Jam or Cream First? Modeling Ambiguity in Neural Machine Translation with SCONES. - Emeç Erçelik, Ekim Yurtsever, Mingyu Liu, Zhijie Yang, Hanzhen Zhang, Pinar Topçam, Maximilian Listl, Yilmaz Kaan Çayli, Alois C. Knoll:
3D Object Detection with a Self-supervised Lidar Scene Flow Backbone. - Xinjia Li, Boyu Chen, Wenlian Lu:
FedDKD: Federated Learning with Decentralized Knowledge Distillation. - Jinkun Zhang, Yuezhou Liu, Edmund Yeh:
Result and Congestion Aware Optimal Routing and Partial Offloading in Collaborative Edge Computing. - Hermann Kroll, Jan Pirklbauer, Florian Plötzky, Wolf-Tilo Balke:
A Library Perspective on Nearly-Unsupervised Information Extraction Workflows in Digital Libraries. - Hermann Kroll, Florian Plötzky, Jan Pirklbauer, Wolf-Tilo Balke:
What a Publication Tells You - Benefits of Narrative Information Access in Digital Libraries. - Arianne Meijer-van de Griend, Sarah Meng Li:
Dynamic Qubit Routing with CNOT Circuit Synthesis for Quantum Compilation. 363-399 - Fangzhi Xu, Qika Lin, Jun Liu, Yudai Pan, Lingling Zhang:
Logiformer: A Two-Branch Graph Transformer Network for Interpretable Logical Reasoning. - Olivier Carton, Sylvain Perifel:
Deterministic pushdown automata can compress some normal sequences. - Corentin Dumery, François Protais, Sébastien Mestrallet, Christophe Bourcier, Franck Ledoux:
Evocube: a Genetic Labeling Framework for Polycube-Maps. - Lijun Zhang, Wei Jiang, Jinfeng Yi, Tianbao Yang:
Smoothed Online Convex Optimization Based on Discounted-Normal-Predictor. - Ali Behrouz, Farnoosh Hashemi, Laks V. S. Lakshmanan:
FirmTruss Community Search in Multilayer Networks. - Daniele Dell'Erba, Sven Schewe:
Smaller Progress Measures and Separating Automata for Parity Games. - Befekadu Gezaheng Gebraselase, Bjarne E. Helvik, Yuming Jiang:
Bitcoin P2P Network Measurements: A testbed study of the effect of peer selection on transaction propagation and confirmation times. - Mike Kosek, Trinh Viet Doan, Simon Huber, Vaibhav Bajpai:
Measuring DNS over TCP in the Era of Increasing DNS Response Sizes: A View from the Edge. - Yu Cheng, Bo Wang, Robby T. Tan:
Dual networks based 3D Multi-Person Pose Estimation from Monocular Video. - David Lobmaier, Rafael Konlechner, Stefan Schulte, Ingo Weber:
Assessing Routing Algorithms for PCNs: Full Evaluation Results. - Zhiqing Guo, Gaobo Yang, Jiyou Chen, Xingming Sun:
Exposing Deepfake Face Forgeries with Guided Residuals. - Takahisa Iizuka, Hiroki Mori:
How does a spontaneously speaking conversational agent affect user behavior? - Lukas Muttenthaler, Charles Y. Zheng, Patrick McClure, Robert A. Vandermeulen, Martin N. Hebart, Francisco Pereira:
VICE: Variational Interpretable Concept Embeddings. - Benjamin Bach, Euan Freeman, Alfie Abdul-Rahman, Cagatay Turkay, Saiful Khan, Yulei Fan, Min Chen:
Dashboard Design Patterns. - Jiangnan Li, Fandong Meng, Zheng Lin, Rui Liu, Peng Fu, Yanan Cao, Weiping Wang, Jie Zhou:
Neutral Utterances are Also Causes: Enhancing Conversational Causal Emotion Entailment with Social Commonsense Knowledge. - Zhili Chen, Zian Qian, Sukai Wang, Qifeng Chen:
Point Cloud Compression with Sibling Context and Surface Priors. - Paolo Liberatore:
Superredundancy: A tool for Boolean formula minimization complexity analysis. - Mina Marmpena, Fernando Garcia, Angelica Lim, Nikolas Hemion, Thomas Wennekers:
Data-driven emotional body language generation for social robotics. - Zhiqing Guo, Gaobo Yang, Dengyong Zhang, Ming Xia:
Rethinking Gradient Operator for Exposing AI-enabled Face Forgeries. - Ipsita Koley, Sunandan Adhikary, Rohit Rohit, Soumyajit Dey:
A CAD Framework for Simulation of Network Level Attack on Platoons. - Liangde Tao, Lin Chen, Lei Xu, Weidong Shi:
Local Differential Privacy Meets Computational Social Choice - Resilience under Voter Deletion. - Jonas K. Falkner, Daniela Thyssens, Lars Schmidt-Thieme:
Large Neighborhood Search based on Neural Construction Heuristics. - Konrad Kollnig, Siddhartha Datta, Nigel Shadbolt:
Imagining, Studying and Realising A Less Harmful App Ecosystem. - Dun-Hao Yang, Tian-Sheuan Chang:
BSRA: Block-based Super Resolution Accelerator with Hardware Efficient Pixel Attention. - Hong-Han Lien, Tian-Sheuan Chang:
Sparse Compressed Spiking Neural Network Accelerator for Object Detection. - Hsu-Tung Shih, Tian-Sheuan Chang:
Zebra: Memory Bandwidth Reduction for CNN Accelerators With Zero Block Regularization of Activation Maps. - Hong-Han Lien, Chung-Wei Hsu, Tian-Sheuan Chang:
VSA: Reconfigurable Vectorwise Spiking Neural Network Accelerator. - Du Cheng, Patrick Felke, Frederik Gosewehr, Yixin Peng:
S0-No-More: A Z-Wave NonceGet Denial of Service Attack utilizing included but offline NodeIDs. - Zhiwei Hu, Víctor Gutiérrez-Basulto, Zhiliang Xiang, Xiaoli Li, Ru Li, Jeff Z. Pan:
Type-aware Embeddings for Multi-Hop Reasoning over Knowledge Graphs. - Sourav Chakraborty, Avijeet Ghosh, Sujata Ghosh, François Schwarzentruber:
On verifying expectations and observations of intelligent agents. - Stefano Berrone, Claudio Canuto, Moreno Pintore:
Solving PDEs by Variational Physics-Informed Neural Networks: an a posteriori error analysis. - James Noble, David Streader, Isaac Oscar Gariano, Miniruwani Samarakoon:
More Programming Than Programming: Teaching Formal Methods in a Software Engineering Programme. - Eurico Dias, Duarte M. G. Raposo, Homa Esfahanizadeh, Alejandro Cohen, Tânia Ferreira, Miguel Luís, Susana Sargento, Muriel Médard:
Millimeter-Wave in Milliseconds: Sliding Window Network Coding Outperforms Rateless Codes. - Alper T. Erdogan:
An Information Maximization Based Blind Source Separation Approach for Dependent and Independent Sources. - James Noble, Julian Mackay, Tobias Wrigstad:
Rusty Links in Local Chains. - Marvin Zammit, Antonios Liapis, Georgios N. Yannakakis:
Seeding Diversity into AI Art. - Haifan Chen, Guozhi Dong, Wei Liu, Ziqing Xie:
Second-order flows for computing the ground states of rotating Bose-Einstein condensates. - Alistair Plum, Tharindu Ranasinghe, Spencer Jones, Constantin Orasan, Ruslan Mitkov:
Biographical: A Semi-Supervised Relation Extraction Dataset. - Yang Li, Quan Pan, Erik Cambria:
Deep-Attack over the Deep Reinforcement Learning. - Walter Morales-Alvarez, Novel Certad, Hadj Hamma Tadjine, Cristina Olaverri-Monreal:
Automated Driving Systems: Impact of Haptic Guidance on Driving Performance after a Take Over Request. - Huan Yin, Zhiyi Lin, Justin K. W. Yeoh:
Semantic localization in BIM using a 3D LiDAR sensor. - Jesse Hoey, Gabrielle Chan:
A Novel Approach to Fairness in Automated Decision-Making using Affective Normalization. - Emma J. Gerritse, Faegheh Hasibi, Arjen P. de Vries:
Entity-aware Transformers for Entity Search. - Ganesh C. Sankaran, Joaquin Chung, Raj Kettimuthu:
La Résistance: Harnessing Heterogeneous Resources for Adaptive Resiliency in 6G Networks. - Shuai Zhao, Linchao Zhu, Xiaohan Wang, Yi Yang:
CenterCLIP: Token Clustering for Efficient Text-Video Retrieval. - Pawel Ladosz, Lilian Weng, Minwoo Kim, Hyondong Oh:
Exploration in Deep Reinforcement Learning: A Survey. - Devansh Jalota, Yinyu Ye:
Online Learning in Fisher Markets with Unknown Agent Preferences. - Peter Fettke, Wolfgang Reisig:
Discrete models of continuous behavior of collective adaptive systems. - Hiori Kino, Hieu-Chi Dam, Takashi Miyake, Riichiro Mizoguchi:
Function Decomposition Tree with Causality-First Perspective and Systematic Description of Problems in Materials Informatics. - Dingyuan Shi, Yongxin Tong, Zimu Zhou, Ke Xu, Wenzhe Tan, Hongbo Li:
Adaptive Task Planning for Large-Scale Robotized Warehouses. - Jun Lu:
Gradient Descent, Stochastic Optimization, and Other Tales. - Deqing Zhai, Yeng Chai Soh:
Predicting and Optimizing for Energy Efficient ACMV Systems: Computational Intelligence Approaches. - Shai Revzen, Dan Zhao, Glenna Clifton, Brian Bittner, Nick Gravish:
Bridging Walking and Slithering - Stokesian Locomotion. - Faisal Ghaffar:
The Rise and Fall of Robotic World (A case study of WALL-E). - Volker Nannen, Damian Bover:
Lateral Stability of Vehicle with Interlocking Spikes. - Volker Nannen, Damian Bover:
Traction of Interlocking Spikes on a Granular Material. - Linnan Wang, Chenhan Yu, Satish Salian, Slawomir Kierat, Szymon Migacz, Alex Fit-Florea:
GPUNet: Searching the Deployable Convolution Neural Networks for GPUs. - Tao Lu, Chunxu Liu, Youxin Chen, Gangshan Wu, Limin Wang:
APP-Net: Auxiliary-point-based Push and Pull Operations for Efficient Point Cloud Classification. - Zimeng Zhao, Binghui Zuo, Wei Xie, Yangang Wang:
Stability-driven Contact Reconstruction From Monocular Color Images. - Antoine Amarilli, Mikaël Monet:
Weighted Counting of Matchings in Unbounded-Treewidth Graph Families. - Huan Gao, Jichang Guo, Guoli Wang, Qian Zhang:
Cross-Domain Correlation Distillation for Unsupervised Domain Adaptation in Nighttime Semantic Segmentation. - Vipin Singh Sehrawat, Foo Yee Yeo, Dmitriy Vassilyev:
Star-specific Key-homomorphic PRFs from Linear Regression and Extremal Set Theory. - Jason Gross, Andres Erbsen, Jade Philipoom, Miraya Poddar-Agrawal, Adam Chlipala:
Accelerating Verified-Compiler Development with a Verified Rewriting Engine. - (Withdrawn) Capturing High-order Structures on Motif-based Graph Nerual Networks.
- Jeanine Treffers-Daller, Özlem Çetinoglu:
TuGeBiC: A Turkish German Bilingual Code-Switching Corpus. - Vytautas Tumas, Sean Rivera, Damien Magoni, Radu State:
Topology Analysis of the XRP Network. - Alexandra Buchmann, Bernadett Kiss, Alexander Badri-Spröwitz, Daniel Renjewski:
Power to the springs: Passive elements are sufficient to drive push-off in human walking. - Chen Xu, Piji Li, Wei Wang, Haoran Yang, Siyun Wang, Chuangbai Xiao:
COSPLAY: Concept Set Guided Personalized Dialogue Generation Across Both Party Personas. - Côme Neyrand, Sophie Pinchinat:
On the Role of Postconditions in Dynamic First-Order Epistemic Logic. - Tatsuya Iwase, Sebastian Stein, Enrico H. Gerding, Archie Chapman:
A Polynomial-time Decentralised Algorithm for Coordinated Management of Multiple Intersections. - Rajagopal Reddy N, Shaik Sharief Basha:
The Application of Energy and Laplacian Energy of Hesitancy Fuzzy Graph Based on Similarity Measures in Decision Making Problems. - Sirin Botan, Simon Rey, Zoi Terzopoulou:
Let's Agree to Agree: Targeting Consensus for Incomplete Preferences through Majority Dynamics. - Yue Guan, Mohammad Afshari, Qifan Zhang, Panagiotis Tsiotras:
Hierarchical Decompositions of Stochastic Pursuit-Evasion Games. - Jannis Blauth, Stephan Held, Dirk Müller, Niklas Schlomberg, Vera Traub, Thorben Tröbst, Jens Vygen:
Vehicle Routing with Time-Dependent Travel Times: Theory, Practice, and Benchmarks. - Zichao Xiao, Rang Liu, Ming Li, Yang Liu, Qian Liu:
Low-Complexity Designs of Symbol-Level Precoding for MU-MISO Systems. - Emmanuel Kwarteng, Mumin Cebe:
A Survey on Security Issues in Modern Implantable Devices: Solutions and Future Issues. - Mauricio Mendez-Ruiz, Francisco Javier López-Tiro, Jonathan El Beze, Vincent Estrade, Gilberto Ochoa-Ruiz, Jacques Hubert, Andres Mendez-Vazquez, Christian Daul:
On the generalization capabilities of FSL methods through domain adaptation: a case study in endoscopic kidney stone image classification. - Zhenwei Tang, Shichao Pei, Zhao Zhang, Yongchun Zhu, Fuzhen Zhuang, Robert Hoehndorf, Xiangliang Zhang:
Positive-Unlabeled Learning with Adversarial Data Augmentation for Knowledge Graph Completion. - Yuansheng Wang, Wangbin Sun, Kun Xu, Zulun Zhu, Liang Chen, Zibin Zheng:
FastGCL: Fast Self-Supervised Learning on Graphs via Contrastive Neighborhood Aggregation. - Minghui Yang, Peng Wu, Jing Liu, Hui Feng:
MemSeg: A semi-supervised method for image surface defect detection using differences and commonalities. - Emil Häglund, Johanna Björklund:
AI-Driven Contextual Advertising: A Technology Report and Implication Analysis. - Manos Kamarianakis, Antonis Protopsaltis, Michail Tamiolakis, George Papagiannakis:
Realistic soft-body tearing under 10ms in VR. - Xiaohong Li, Xiang Wang, Kai Wang, Shiguo Lian:
A Novel Speech-Driven Lip-Sync Model with CNN and LSTM. - Akansha:
Decay estimate of bivariate Chebyshev coefficients for functions with limited smoothness. - Ole Christian Eidheim:
Revisiting Gaussian Neurons for Online Clustering with Unknown Number of Clusters. - Jongmin Kim, Gwangho Lee, Sangpyo Kim, Gina Sohn, John Kim, Minsoo Rhu, Jung Ho Ahn:
ARK: Fully Homomorphic Encryption Accelerator with Runtime Data Generation and Inter-Operation Key Reuse. - Manos Kamarianakis, Ilias Chrysovergis, Mike Kentros, George Papagiannakis:
Recording and replaying psychomotor user actions in VR. - Daria Alexander, Wojciech Kusa, Arjen P. de Vries:
ORCAS-I: Queries Annotated with Intent using Weak Supervision. - Michaela Benk, Raphael Weibel, Andrea Ferrario:
Creative Uses of AI Systems and their Explanations: A Case Study from Insurance. - Zijian Ying, Qianmu Li, Zhichao Lian:
Understanding CNNs from excitations. - Ilias Chrysovergis, Manos Kamarianakis, Mike Kentros, Dimitris Angelis, Antonis Protopsaltis, George Papagiannakis:
Assessing unconstrained surgical cuttings in VR using CNNs. - Dwaipayan Roy, Zeljko Carevic, Philipp Mayr:
Studying Retrievability of Publications and Datasets in an Integrated Retrieval System. - Federico Simonetta:
Music Interpretation Analysis. A Multimodal Approach To Score-Informed Resynthesis of Piano Recordings. - Chenyu Sun, Hangwei Qian, Chunyan Miao:
CCLF: A Contrastive-Curiosity-Driven Learning Framework for Sample-Efficient Reinforcement Learning. - A. J. Piergiovanni, Wei Li, Weicheng Kuo, Mohammad Saffar, Fred Bertsch, Anelia Angelova:
Answer-Me: Multi-Task Open-Vocabulary Visual Question Answering. - Sriram Baireddy, Da-Young Lee, Carlos Gongora-Canul, Christian D. Cruz, Edward J. Delp:
Leaf Tar Spot Detection Using RGB Images. - Jatin Chauhan, Manohar Kaul:
BERTops: Studying BERT Representations under a Topological Lens. - Paola Francesca Antonietti, Giuseppe Vacca, Marco Verani:
Virtual Element Method for the Navier-Stokes Equation coupled with the Heat Equation. - Xiaolong Wang, Alp Sahin, Subhrajit Bhattacharya:
Coordination-free Multi-robot Path Planning for Congestion Reduction Using Topological Reasoning. - Stefan Rass, Sandra König, Stefan Schauer:
Defending Against Advanced Persistent Threats using Game-Theory. - Tosin P. Adewumi, Foteini Liwicki, Marcus Liwicki:
State-of-the-art in Open-domain Conversational AI: A Survey. - Zhe Cui, Jianjiang Feng, Jie Zhou:
Monocular 3D Fingerprint Reconstruction and Unwarping. - Jeongseok Hyun, Myunggu Kang, Dongyoon Wee, Dit-Yan Yeung:
Detection Recovery in Online Multi-Object Tracking with Sparse Graph Tracker. - Yifan Wang, Haodi Ma, Daisy Zhe Wang:
LIDER: An Efficient High-dimensional Learned Index for Large-scale Dense Passage Retrieval. - Akira Imakura, Keiichi Morikuni, Akitoshi Takayasu:
Complex moment-based methods for differential eigenvalue problems. - Marco Santoboni, Riccardo Bersan, Stefano Savazzi, Alberto Zecchin, Vittorio Rampa, Daniele Piazza:
Wireless LAN sensing with smart antennas. - Yuhao Yang, Chao Huang, Lianghao Xia, Chenliang Li:
Knowledge Graph Contrastive Learning for Recommendation. - Patrick Fernandes, António Farinhas, Ricardo Rei, José G. C. de Souza, Perez Ogayo, Graham Neubig, André F. T. Martins:
Quality-Aware Decoding for Neural Machine Translation. - Andrea Traldi, Francesco Bruschetti, Marco Robol, Marco Roveri, Paolo Giorgini:
Real-Time BDI Agents: a model and its implementation. - Marina Evers, Lars Linsen:
Multi-dimensional parameter-space partitioning of spatio-temporal simulation ensembles. - Arpit Agarwal, Sanjeev Khanna, Prathamesh Patil:
A Sharp Memory-Regret Trade-Off for Multi-Pass Streaming Bandits. - Igor Sfiligoi, Thomas A. DeFanti, Frank Würthwein:
Auto-scaling HTCondor pools using Kubernetes compute resources. - Terne Sasha Thorn Jakobsen, Anna Rogers:
What Factors Should Paper-Reviewer Assignments Rely On? Community Perspectives on Issues and Ideals in Conference Peer-Review. - Xian Shi, Xun Xu, Wanyue Zhang, Xiatian Zhu, Chuan Sheng Foo, Kui Jia:
Open-Set Semi-Supervised Learning for 3D Point Cloud Understanding. - Valentin Bartier, Nicolas Bousquet, Jihad Hanna, Amer E. Mouawad, Sebastian Siebertz:
Token sliding on graphs of girth five. - Peter Sjögårde:
The effect of the rapid growth of covid-19 publications on citation indicators. - Marcus N. Gomes Júnior, Marcio H. Giacomoni, Ahmad F. Taha, Eduardo M. Mendiondo:
Flood Risk Mitigation and Valve Control in Stormwater Systems: State-Space Modeling, Control Algorithms, and Case Studies. - Weixing Wei, Peilin Li, Yi Yu, Wei Li:
HarmoF0: Logarithmic Scale Dilated Convolution For Pitch Estimation. - Nikhil Bansal, Aditi Laddha, Santosh S. Vempala:
A Unified Approach to Discrepancy Minimization. - Andrew Singletary, William Guffey, Tamás G. Molnár, Ryan W. Sinnet, Aaron D. Ames:
Safety-Critical Manipulation for Collision-Free Food Preparation. - Senthil Rajasekaran, Moshe Y. Vardi:
Verification and Realizability in Finite-Horizon Multiagent Systems. - David Leslie, Michael A. Katell, Mhairi Aitken, Jatinder Singh, Morgan Briggs, Rosamund Powell, Cami Rincón, Antonella Perini, Smera Jayadeva, Christopher Burr:
Data Justice in Practice: A Guide for Developers. - McKane Andrus, Sarah Villeneuve:
Demographic-Reliant Algorithmic Fairness: Characterizing the Risks of Demographic Data Collection in the Pursuit of Fairness. - Ahmad Hassanpour, An Thi Nguyen, Anshul Rani, Sarang Shaikh, Ying Xu, Haoyu Zhang:
Big Tech Companies Impact on Research at the Faculty of Information Technology and Electrical Engineering. - Maximilian Pintz, Joachim Sicking, Maximilian Poretschkin, Maram Akila:
A Survey on Uncertainty Toolkits for Deep Learning. - Scott McLachlan, Kudakwashe Dube, Burkhard Schafer, Anthony Gillespie, Norman E. Fenton:
The Chaotic State of UK Drone Regulation. - Abdulla All Noman, Umma Habiba Akter, Tahmid Hasan Pranto, A. K. M. Bahalul Haque:
Machine Learning and Artificial Intelligence in Circular Economy: A Bibliometric Analysis and Systematic Literature Review. - A. J. Han Vinck:
Coding Concepts and Reed-Solomon Codes. - Luís M. Silva, Frederico Aleixo, Albert van der Linde, João Leitão, Nuno M. Preguiça:
Geo-located data for better dynamic replication. - Shang Liu, Xiaobao Wei, Lulu Wang, Jing Zhang, Boyu Li, Haosong Yue:
Center-of-Mass-based Robust Grasp Pose Adaptation Using RGBD Camera and Force/Torque Sensing. - Wei Peng, Weien Zhou, Xiaoya Zhang, Wen Yao, Zheliang Liu:
RANG: A Residual-based Adaptive Node Generation Method for Physics-Informed Neural Networks. - Gordon King, Hans Wang:
HTTPA/2: a Trusted End-to-End Protocol for Web Services. - Alessandro Ronca, Gabriel Paludo Licks, Giuseppe De Giacomo:
Markov Abstractions for PAC Reinforcement Learning in Non-Markov Decision Processes. - Riddhiman Adib, Md. Osman Gani, Sheikh Iqbal Ahamed, Mohammad Adibuzzaman:
Causal Discovery on the Effect of Antipsychotic Drugs on Delirium Patients in the ICU using Large EHR Dataset. - Simon Schubotz, Moritz Schubotz, Günter K. Auernhammer:
Electronic Laboratory Notebook: A lazy approach. - Hwijae Son, Sung Woong Cho, Hyung Ju Hwang:
AL-PINNs: Augmented Lagrangian relaxation method for Physics-Informed Neural Networks. - Nirmalya Thakur, Saumick Pradhan, Chia Y. Han:
Investigating the impact of COVID-19 on Online Learning-based Web Behavior. - Dezhao Zhu, Jiang Guo, Gang Yu, C. Y. Zhao, Hong Wang, Shenghong Ju:
Designing thermal radiation metamaterials via hybrid adversarial autoencoder and Bayesian optimization. - Vinitra Swamy, Mirko Marras, Tanja Käser:
Meta Transfer Learning for Early Success Prediction in MOOCs. - Honghan Wu, Minhong Wang, Aneeta Sylolypavan, Sarah Wild:
Quantifying Health Inequalities Induced by Data and AI Models. - Ke Wang, Yafei Zhao, Rajan Kumar Gangadhari, Zhixing Li:
Analyzing the Adoption Challenges of the Internet of Things (IoT) and Artificial Intelligence (AI) for Smart Cities in China. - Susan Zhang, Stephen Roller, Naman Goyal, Mikel Artetxe, Moya Chen, Shuohui Chen, Christopher Dewan, Mona T. Diab, Xian Li, Xi Victoria Lin, Todor Mihaylov, Myle Ott, Sam Shleifer, Kurt Shuster, Daniel Simig, Punit Singh Koura, Anjali Sridhar, Tianlu Wang, Luke Zettlemoyer:
OPT: Open Pre-trained Transformer Language Models. - Milad Vazan:
Deep Learning: From Basics to Building Deep Neural Networks with Python. - Ehsan Nabavi, Chris Browne:
Five Ps: Leverage Zones Towards Responsible AI. - Corinna Coupette, Dirk Hartung:
Sharing and Caring: Creating a Culture of Constructive Criticism in Computational Legal Studies. - Keziah Naggita, Julius Ceasar Aguma:
The Equity Framework: Fairness Beyond Equalized Predictive Outcomes. - Konstantinos Kostinakis, Konstantinos Morfidis, Konstantinos Demertzis, Lazaros Iliadis:
Classification of Buildings' Potential for Seismic Damage by Means of Artificial Intelligence Techniques. - Alexander Shim:
A Probabilistic Interpretation of Transformers. - Daniel Rosendo, Alexandru Costan, Patrick Valduriez, Gabriel Antoniu:
Distributed intelligence on the Edge-to-Cloud Continuum: A systematic literature review. - Felix Wu, Kwangyoun Kim, Shinji Watanabe, Kyu Jeong Han, Ryan McDonald, Kilian Q. Weinberger, Yoav Artzi:
Wav2Seq: Pre-training Speech-to-Text Encoder-Decoder Models Using Pseudo Languages. - Patrick Stotko, Michael Weinmann, Reinhard Klein:
Incomplete Gamma Kernels: Generalizing Locally Optimal Projection Operators. - Marcelo Antônio Mendes Bastos, Humberto César Brandão de Oliveira, Cristiano Arbex Valle:
Ensemble pruning via an integer programming approach with diversity constraints. - Zhenfang Chen, Kexin Yi, Yunzhu Li, Mingyu Ding, Antonio Torralba, Joshua B. Tenenbaum, Chuang Gan:
ComPhy: Compositional Physical Reasoning of Objects and Events from Videos. - Duc A. Tran, Bhaskar Krishnamachari:
Blockchain in a nutshell. - Yong Xie, Dakuo Wang, Pin-Yu Chen, Jinjun Xiong, Sijia Liu, Sanmi Koyejo:
A Word is Worth A Thousand Dollars: Adversarial Attack on Tweets Fools Stock Prediction. - Wei Jiang, Hans Dieter Schotten:
Initial Access for Millimeter-Wave and Terahertz Communications with Hybrid Beamforming. - Siddhartha Paul Tiwari:
Knowledge Management Strategies and Emerging Technologies - An Overview Of the Underpinning Concepts. - Paul Smolensky, R. Thomas McCoy, Roland Fernandez, Matthew Goldrick, Jianfeng Gao:
Neurocompositional computing: From the Central Paradox of Cognition to a new generation of AI systems. - Idris Abdulmumin, Satya Ranjan Dash, Musa Abdullahi Dawud, Shantipriya Parida, Shamsuddeen Hassan Muhammad, Ibrahim Said Ahmad, Subhadarshi Panda, Ondrej Bojar, Bashir Shehu Galadanci, Bello Shehu Bello:
Hausa Visual Genome: A Dataset for Multi-Modal English to Hausa Machine Translation. - Tingyu Fan, Linyao Gao, Yiling Xu, Zhu Li, Dong Wang:
D-DPCC: Deep Dynamic Point Cloud Compression via 3D Motion Prediction. - Sabeen Ahmed, Ian E. Nielsen, Aakash Tripathi, Shamoon Siddiqui, Ghulam Rasool, Ravi Prakash Ramachandran:
Transformers in Time-series Analysis: A Tutorial. - Xiaofang Wang, Kris M. Kitani:
Cost-Aware Evaluation and Model Scaling for LiDAR-Based 3D Object Detection. - Sanjana Sinha, Sandika Biswas, Ravindra Yadav, Brojeshwar Bhowmick:
Emotion-Controllable Generalized Talking Face Generation. - Yangdi Lu, Wenbo He:
SELC: Self-Ensemble Label Correction Improves Learning with Noisy Labels. - Monika Henzinger, Charlotte Peale, Omer Reingold, Judy Hanwen Shen:
Leximax Approximations and Representative Cohort Selection. - Reza Hojjaty Saeedy, Richard A. Messner:
Saliency map using features derived from spiking neural networks of primate visual cortex. - Paul Ralph, Sebastian Baltes:
Paving the Way for Mature Secondary Research: The Seven Types of Literature Review. - Sandra Wachter:
The Theory of Artificial Immutability: Protecting Algorithmic Groups Under Anti-Discrimination Law. - Jim James, Nathan Pruyne, Tiberiu Stan, Marcus Schwarting, Jiwon Yeom, Seungbum Hong, Peter Voorhees, Ben Blaiszik, Ian T. Foster:
3D Convolutional Neural Networks for Dendrite Segmentation Using Fine-Tuning and Hyperparameter Optimization. - Sunwoo Lee, Kaiyuan Hou, Kewei Wang, Saba Sehrish, Marc F. Paterno, James Kowalkowski, Quincey Koziol, Robert B. Ross, Ankit Agrawal, Alok N. Choudhary, Wei-keng Liao:
A Case Study on Parallel HDF5 Dataset Concatenation for High Energy Physics Data Analysis. - James Hoey, Irek Ulidowski:
Reversing an Imperative Concurrent Programming Language. - Alexander L. Mitchell, Wolfgang Merkt, Mathieu Geisert, Siddhant Gangapurwala, Martin Engelcke, Oiwi Parker Jones, Ioannis Havoutis, Ingmar Posner:
VAE-Loco: Versatile Quadruped Locomotion by Learning a Disentangled Gait Representation. - Walter Coleman, Ben Johann, Nicholas Pasternak, Jaya Vellayan, Natasha Foutz, Heman Shakeri:
Using Machine Learning to Evaluate Real Estate Prices Using Location Big Data. - Ben L. Titzer:
A fast in-place interpreter for WebAssembly. - Dimitris Stripelis, Marcin Abram, José Luis Ambite:
Performance Weighting for Robust Federated Learning Against Corrupted Sources. - Ghazal Mirabnahrazam, Da Ma, Cédric Beaulac, Sieun Lee, Karteek Popuri, Hyunwoo Lee, Jiguo Cao, James E. Galvin, Lei Wang, Mirza Faisal Beg, Alzheimer's Disease Neuroimaging Initiative:
Predicting Time-to-conversion for Dementia of Alzheimer's Type using Multi-modal Deep Survival Analysis. - Henry B. Welles:
A Critique of Uribe's "P vs. NP". - Hengyi Wang, Changjae Oh:
Boosting Video Object Segmentation based on Scale Inconsistency. - Zhening Huang, Weiwei Chen, Abir Al-Tabbaa, Ioannis K. Brilakis:
NHA12D: A New Pavement Crack Dataset and a Comparison Study Of Crack Detection Algorithms. - Jingxing Qian, Veronica Chatrath, Jun Yang, James Servos, Angela P. Schoellig, Steven L. Waslander:
POCD: Probabilistic Object-Level Change Detection and Volumetric Mapping in Semi-Static Scenes. - Mounika Marreddy, Subba Reddy Oota, Lakshmi Sireesha Vakada, Venkata Charan Chinni, Radhika Mamidi:
Multi-Task Text Classification using Graph Convolutional Networks for Large-Scale Low Resource Language. - Dinh-Liem Nguyen, Kale Stahl, Trung Truong:
A stable sampling method for inverse scattering from periodic media. - Mathieu Goutay:
Applications of Deep Learning to the Design of Enhanced Wireless Communication Systems. - Rylan Schaeffer, Gabrielle Kaili-May Liu, Yilun Du, Scott Linderman, Ila Rani Fiete:
Streaming Inference for Infinite Non-Stationary Clustering. - Andrea Pizzo, Angel Lozano, Sundeep Rangan, Thomas L. Marzetta:
Line-of-Sight MIMO via Reflection From a Smooth Surface. - Rahul Sarkar:
An improvement to a result about graph isomorphism networks using the prime factorization theorem. - Vojtech Kulvait, Josef Málek, K. R. Rajagopal:
The state of stress and strain adjacent to notches in a new class of nonlinear elastic bodies. - Indira Sen, Daniele Quercia, Licia Capra, Matteo Montecchi, Sanja Scepanovic:
Insider Stories: Analyzing Internal Sustainability Efforts of Major US Companies from Online Reviews. - Andrew McDonald, Pang-Ning Tan, Lifeng Luo:
COMET Flows: Towards Generative Modeling of Multivariate Extremes and Tail Dependence. - Zadid Khan, Mashrur Chowdhury, Sakib Mahmud Khan:
A Hybrid Defense Method against Adversarial Attacks on Traffic Sign Classifiers in Autonomous Vehicles. - Shuming Jiao, Ziwei Song, Shuiying Xiang:
Adversarial attacks on an optical neural network. - Luca Di Liello, Siddhant Garg, Luca Soldaini, Alessandro Moschitti:
Paragraph-based Transformer Pre-training for Multi-Sentence Inference. - Quang-Trung Luu, Olivier Brun, Rachid El Azouzi, Francesco De Pellegrini, Balakrishna J. Prabhu, Cédric Richier:
DCoflow: Deadline-Aware Scheduling Algorithm for Coflows in Datacenter Networks. - Hamed Zamani, Fernando Diaz, Mostafa Dehghani, Donald Metzler, Michael Bendersky:
Retrieval-Enhanced Machine Learning. - Maede Zolanvari, Ali Ghubaish, Raj Jain:
ADDAI: Anomaly Detection using Distributed AI. - Maede Zolanvari, Zebo Yang, Khaled M. Khan, Raj Jain, Nader Meskin:
TRUST XAI: Model-Agnostic Explanations for AI With a Case Study on IIoT Security. - Wonho Bae, Junhyug Noh, Milad Jalali Asadabadi, Danica J. Sutherland:
One Weird Trick to Improve Your Semi-Weakly Supervised Semantic Segmentation Model. - Kevin Zhao, Prateesh Goyal, Mohammad Alizadeh, Thomas E. Anderson:
Scalable Tail Latency Estimation for Data Center Networks. - Edward W. Staley, Jared Markowitz:
Triangular Dropout: Variable Network Width without Retraining. - Mikhail Kazdagli, Mohit Tiwari, Akshat Kumar:
Using Constraint Programming and Graph Representation Learning for Generating Interpretable Cloud Security Policies. - Joseph Eremondi, Ronald Garcia, Éric Tanter:
Propositional Equality for Gradual Dependently Typed Programming. - Guangyan Cai, Kai Yan, Zhao Dong, Ioannis Gkioulekas, Shuang Zhao:
Physics-Based Inverse Rendering using Combined Implicit and Explicit Geometries. - Filipo Sharevski, Amy Devine, Emma Pieroni, Peter Jachim:
Meaningful Context, a Red Flag, or Both? Users' Preferences for Enhanced Misinformation Warnings on Twitter. - Eric Balkanski, Tingting Ou, Clifford Stein, Hao-Ting Wei:
Scheduling with Speed Predictions. - Yunan Zhang, Po-An Tsai, Hung-Wei Tseng:
SIMD2: A Generalized Matrix Instruction Set for Accelerating Tensor Computation beyond GEMM. - Takahiro Miura, Ichiro Sakata:
Storyteller: The papers co-citing Sleeping Beauty and Prince before awakening. - James Martin, Jin L. C. Guo:
Deep API Learning Revisited. - Qiwei Feng, Bin Han, Peter D. Minev:
Hybrid Finite Difference Schemes for Elliptic Interface Problems with Discontinuous and High-Contrast Variable Coefficients. - Natasha Fernandes, Annabelle McIver, Catuscia Palamidessi, Ming Ding:
Universal Optimality and Robust Utility Bounds for Metric Differential Privacy. - Shelly Cheng, Hazel Zhu, Eugene Wu:
How Do Captions Affect Visualization Reading? - Adish Singla, Nikitas Theodoropoulos:
From {Solution Synthesis} to {Student Attempt Synthesis} for Block-Based Visual Programming Tasks. - Lillian Clark, Jeffrey A. Edlund, Marc Sanchez Net, Tiago Stegun Vaquero, Ali-akbar Agha-mohammadi:
PropEM-L: Radio Propagation Environment Modeling and Learning for Communication-Aware Multi-Robot Exploration. - Yihan Wang, Muyang Li, Han Cai, Wei-Ming Chen, Song Han:
Lite Pose: Efficient Architecture Design for 2D Human Pose Estimation. - Yu Wang, Daniel Stoller, Rachel M. Bittner, Juan Pablo Bello:
Few-Shot Musical Source Separation. - Jiping Luo, Tingting Zhang, Rui Hao, Donglin Li, Chunsheng Chen, Zhenyu Na, Qin-Yu Zhang:
Real-time Cooperative Vehicle Coordination at Unsignalized Road Intersections. - Eugene Wu:
Extending the View Composition Algebra to Hierarchical Data. - Jianli Bai, Xiangfu Song, Shujie Cui, Ee-Chien Chang, Giovanni Russello:
Scalable Private Decision Tree Evaluation with Sublinear Communication. - Yu Tian, Jianxin Chang, Yanan Niu, Yang Song, Chenliang Li:
When Multi-Level Meets Multi-Interest: A Multi-Grained Neural Model for Sequential Recommendation. - Boxin Wang, Chejian Xu, Xiangyu Liu, Yu Cheng, Bo Li:
SemAttack: Natural Textual Attacks via Different Semantic Spaces. - Siyu Gu:
On Ranking Consistency of Pre-ranking Stage. - Jayetri Bardhan, Anthony M. Colas, Kirk Roberts, Daisy Zhe Wang:
DrugEHRQA: A Question Answering Dataset on Structured and Unstructured Electronic Health Records For Medicine Related Queries. - Mengzhe He, Yali Wang, Jiaxi Wu, Yiru Wang, Hanqing Li, Bo Li, Weihao Gan, Wei Wu, Yu Qiao:
Cross Domain Object Detection by Target-Perceived Dual Branch Distillation. - Ruoting Wu, Yuxin Zhang, Qibiao Peng, Liang Chen, Zibin Zheng:
A Survey of Deep Learning Models for Structural Code Understanding. - Boris Kovalerchuk, Razvan Andonie, Nuno Datia, Kawa Nazemi, Ebad Banissi:
Visual Knowledge Discovery with Artificial Intelligence: Challenges and Future Directions. - Xin Lin, Changxing Ding, Jing Zhang, Yibing Zhan, Dacheng Tao:
RU-Net: Regularized Unrolling Network for Scene Graph Generation. - Sajal Saha, Anwar Haque, Greg Sidebottom:
Towards an Ensemble Regressor Model for Anomalous ISP Traffic Prediction. - Federico Bobbio, Margarida Carvalho, Andrea Lodi, Alfredo Torrico:
Capacity Variation in the Many-to-one Stable Matching. - Md Hasan Shahriar, Yang Xiao, Pablo Moriano, Wenjing Lou, Y. Thomas Hou:
CANShield: Signal-based Intrusion Detection for Controller Area Networks. - Yiren Jian, Chongyang Gao, Soroush Vosoughi:
Embedding Hallucination for Few-Shot Language Fine-tuning. - Yiren Jian, Chongyang Gao, Soroush Vosoughi:
Contrastive Learning for Prompt-Based Few-Shot Language Learners. - Sangmook Kim, Wonyoung Shin, Soohyuk Jang, Hwanjun Song, Se-Young Yun:
FedRN: Exploiting k-Reliable Neighbors Towards Robust Federated Learning. - Julian Dolby, Jason Tsay, Martin Hirzel:
Automatically Debugging AutoML Pipelines using Maro: ML Automated Remediation Oracle (Extended Version). - Chuan-Chi Wang, Chun-Yen Ho, Chia-Heng Tu, Shih-Hao Hung:
cuPSO: GPU Parallelization for Particle Swarm Optimization Algorithms. - Lele Luan, Yang Liu, Hao Sun:
Distilling Governing Laws and Source Input for Dynamical Systems from Videos. - Xin Lin, Changxing Ding, Yibing Zhan, Zijian Li, Dacheng Tao:
HL-Net: Heterophily Learning Network for Scene Graph Generation. - Alon Berliner, Guy Rotman, Yossi Adi, Roi Reichart, Tamir Hazan:
Learning Discrete Structured Variational Auto-Encoder using Natural Evolution Strategies. - Renaud Fabre, Otmane Azeroual, Patrice Bellot, Joachim Schöpfel, Daniel Egret:
GRAPHYP: A Scientific Knowledge Graph with Manifold Subnetworks of Communities. Detection of Scholarly Disputes in Adversarial Information Routes. - Marco Winckler, Philippe A. Palanque, Jean-Luc Hak, Eric Barboni, Olivier Nicolas, Laurent Goncalves:
Engineering Annotations: A Generic Framework For Gluing Design Artefacts in Models of Interactive Systems. - Alexander Trautsch, Steffen Herbold:
Predicting Issue Types with seBERT. - Ayano Nakai-Kasai, Tadashi Wadayama:
MMSE Signal Detection for MIMO Systems based on Ordinary Differential Equation. - Erik Burman, Peter Hansbo, Mats G. Larson:
On the Design of Locking Free Ghost Penalty Stabilization and the Relation to CutFEM with Discrete Extension. - Sebastian Müller, Andreas Penzkofer, Nikita Polyanskii, Jonas Theis, William Sanders, Hans Moog:
Reality-based UTXO Ledger. - Fabian Heseding, Willy Scheibel, Jürgen Döllner:
Tooling for Time- and Space-efficient git Repository Mining. - Ruben Tolosana, Rubén Vera-Rodríguez, Julian Fiérrez:
BioTouchPass: Handwritten Passwords for Touchscreen Biometrics. - Xiaoyu Pan, Jiaming Mai, Xinwei Jiang, Dongxue Tang, Jingxiang Li, Tianjia Shao, Kun Zhou, Xiaogang Jin, Dinesh Manocha:
Predicting Loose-Fitting Garment Deformations Using Bone-Driven Motion Networks. - Andoni I. Garmendia, Josu Ceberio, Alexander Mendiburu:
Neural Combinatorial Optimization: a New Player in the Field. - Xinwei Wang, Zirui Li, Javier Alonso-Mora, Meng Wang:
Prediction-Based Reachability Analysis for Collision Risk Assessment on Highways. - Amitoz Azad:
Learning Label Initialization for Time-Dependent Harmonic Extension. - Hugo Thimonier, Fabrice Popineau, Arpad Rimmel, Bich-Liên Doan, Fabrice Daniel:
TracInAD: Measuring Influence for Anomaly Detection. - Patricia Bouyer, Antonio Casares, Mickael Randour, Pierre Vandenhove:
Half-Positional Objectives Recognized by Deterministic Büchi Automata. - Jeevesh Juneja, Ritu Agarwal:
Finding patterns in Knowledge Attribution for Transformers. - Karina Ruzaeva, Katharina Nöh, Benjamin Berkels:
A hybrid multi-object segmentation framework with model-based B-splines for microbial single cell analysis. - James J. Cusick:
A Global Operational Readiness Review Process: Improving Cloud Availability. - Zhenguang Liu, Sifan Wu, Chejian Xu, Xiang Wang, Lei Zhu, Shuang Wu, Fuli Feng:
Copy Motion From One to Another: Fake Motion Video Generation. - Wenjie Yin, Arkaitz Zubiaga:
Hidden behind the obvious: misleading keywords and implicitly abusive language on social media. - Oscar Sainz, Itziar Gonzalez-Dios, Oier Lopez de Lacalle, Bonan Min, Eneko Agirre:
Textual Entailment for Event Argument Extraction: Zero- and Few-Shot with Multi-Source Learning. - Nima Karbasizadeh, S. Hassan HosseinNia:
Complex-order Reset Control System. - Jiaxin Li, Danfeng Hong, Lianru Gao, Jing Yao, Ke Zheng, Bing Zhang, Jocelyn Chanussot:
Deep Learning in Multimodal Remote Sensing Data Fusion: A Comprehensive Review. - Mike Zhang, Kristian Nørgaard Jensen, Barbara Plank:
Kompetencer: Fine-grained Skill Classification in Danish Job Postings via Distant Supervision and Transfer Learning. - Aljosha Köcher, Lasse Beers, Alexander Fay:
A Mapping Approach to Convert MTPs into a Capability and Skill Ontology. - Jun-Feng Yin, Nan Li, Ning Zheng:
Restarted randomized surrounding methods for solving large linear equations. - Michael Pantic, Cesar Cadena, Roland Siegwart, Lionel Ott:
Sampling-free obstacle gradients and reactive planning in Neural Radiance Fields (NeRF). - Esteban Catté, Mohamed Sana, Mickael Maman:
Cost-Efficient and QoS-Aware User Association and 3D Placement of 6G Aerial Mobile Access Points. - Jianing Zhao, Xiang Yin, Shaoyuan Li:
A Unified Framework for Verification of Observational Properties for Partially-Observed Discrete-Event Systems. - Aida Slavic, Ronald Siebes, Andrea Scharnhorst:
Publishing a Knowledge Organization System as Linked Data: The Case of the Universal Decimal Classification. - Alex Fang, Gabriel Ilharco, Mitchell Wortsman, Yuhao Wan, Vaishaal Shankar, Achal Dave, Ludwig Schmidt:
Data Determines Distributional Robustness in Contrastive Language Image Pre-training (CLIP). - Zied Ben-Houidi, Dario Rossi:
Neural language models for network configuration: Opportunities and reality check. - Pulkit Vyas, Chirag Saxena, Anwesh Badapanda, Anurag Goswami:
Outdoor Monocular Depth Estimation: A Research Review. - Dmitriy Kim, Georgi Georgiev, Natalya Markovskaya:
A Model of Random Multiple Access in Unlicensed Spectrum Systems. - Subba Reddy Oota, Jashn Arora, Veeral Agarwal, Mounika Marreddy, Manish Gupta, Bapi Raju Surampudi:
Neural Language Taskonomy: Which NLP Tasks are the most Predictive of fMRI Brain Activity? - Varun Babbar, Umang Bhatt, Adrian Weller:
On the Utility of Prediction Sets in Human-AI Teams. - Daniel Bogdoll, Enrico Eisen, Maximilian Nitsche, Christin Scheib, J. Marius Zöllner:
Multimodal Detection of Unknown Objects on Roads for Autonomous Driving. - Chao Bian, Yawen Zhou, Chao Qian:
Robust Subset Selection by Greedy and Evolutionary Pareto Optimization. - Ran Zmigrod, Tim Vieira, Ryan Cotterell:
Exact Paired-Permutation Testing for Structured Test Statistics. - Anna Arutyunova, Heiko Röglin:
The Price of Hierarchical Clustering. - Simo Linkola, Christian Guckelsberger, Tomi Männistö, Anna Kantosalo:
How Does Embodiment Affect the Human Perception of Computational Creativity? An Experimental Study Framework. - Patrick Musau, Nathaniel Hamilton, Diego Manzanas Lopez, Preston Robinette, Taylor T. Johnson:
An Empirical Analysis of the Use of Real-Time Reachability for the Safety Assurance of Autonomous Vehicles. - Marco Bernardo, Claudio Antares Mezzina:
Bridging Causal Consistent and Time Reversibility: A Stochastic Process Algebraic Approach. - Oliver Buchholz, Eric Raidl:
A Falsificationist Account of Artificial Neural Networks. - Henna Kokkonen, Lauri Lovén, Naser Hossein Motlagh, Juha Partala, Alfonso González-Gil, Ester Sola, Iñigo Angulo, Madhusanka Liyanage, Teemu Leppänen, Tri Nguyen, Panos Kostakos, Mehdi Bennis, Sasu Tarkoma, Schahram Dustdar, Susanna Pirttikangas, Jukka Riekki:
Autonomy and Intelligence in the Computing Continuum: Challenges, Enablers, and Future Directions for Orchestration. - Alessandro Berti:
Filtering and Sampling Object-Centric Event Logs. - Jacob Imola, Takao Murakami, Kamalika Chaudhuri:
Differentially Private Subgraph Counting in the Shuffle Model. - Charalambos D. Charalambous, Stelios Louka:
A Riccati-Lyapunov Approach to Nonfeedback Capacity of MIMO Gaussian Channels Driven by Stable and Unstable Noise. - Willian T. Lunardi, Martin Andreoni Lopez, Jean Pierre Giacalone:
ARCADE: Adversarially Regularized Convolutional Autoencoder for Network Anomaly Detection. - Sean Parker, Sami Alabed, Eiko Yoneki:
RLFlow: Optimising Neural Network Subgraph Transformation with World Models. - Shenglong Zhou, Geoffrey Ye Li:
Efficient and Convergent Federated Learning. - Verena Ebert, Daniel Graziotin, Stefan Wagner:
How Are Communication Channels on GitHub Presented to Their Intended Audience? - A Thematic Analysis. - Xin Zhou, Huang Huang, He Zhang, Xin Huang, Dong Shao, Chenxing Zhong:
A Cross-Company Ethnographic Study on Software Teams for DevOps and Microservices: Organization, Benefits, and Issues. - Christopher Lu, Timon Willi, Christian Schröder de Witt, Jakob N. Foerster:
Model-Free Opponent Shaping. - Shengyu Huang, Chih-Hung Liu, Daniel Rutschmann:
Approximate Selection with Unreliable Comparisons in Optimal Expected Time. - Mingshuai Chen, Joost-Pieter Katoen, Lutz Klinkenberg, Tobias Winkler:
Does a Program Yield the Right Distribution? Verifying Probabilistic Programs via Generating Functions. - Jakob Bæk Tejs Houen, Mikkel Thorup:
Understanding the Moments of Tabulation Hashing via Chaoses. - Alex Shtoff:
Efficient implementation of incremental proximal-point methods. - Simon Bultmann, Sven Behnke:
3D Semantic Scene Perception using Distributed Smart Edge Sensors. - Andrew Drozdov, Jiawei Zhou, Radu Florian, Andrew McCallum, Tahira Naseem, Yoon Kim, Ramón Fernandez Astudillo:
Inducing and Using Alignments for Transition-based AMR Parsing. - Patrick Hemmer, Max Schemmer, Niklas Kühl, Michael Vössing, Gerhard Satzger:
On the Effect of Information Asymmetry in Human-AI Teams. - Yurong Chen, Xiaotie Deng, Chenchen Li, David Mguni, Jun Wang, Xiang Yan, Yaodong Yang:
On the Convergence of Fictitious Play: A Decomposition Approach. - Zhigang Yan, Dong Li, Zhichao Zhang, Jiguang He:
Revisiting Communication-Efficient Federated Learning with Balanced Global and Local Updates. - Sungwon Park, Sungwon Han, Donghyun Ahn, Jaeyeon Kim, Jeasurk Yang, Susang Lee, Seunghoon Hong, Jihee Kim, Sangyoon Park, Hyunjoo Yang, Meeyoung Cha:
Learning Economic Indicators by Aggregating Multi-Level Geospatial Information. - Jakob R. Elias, Ryan Chard, Maksim Levental, Zhengchun Liu, Ian T. Foster, Santanu Chaudhuri:
Real-Time Streaming and Event-driven Control of Scientific Experiments. - Wei Zhao, Shiqi Zhang, Bing Zhou, Bei Wang:
Residual Graph Convolutional Recurrent Networks For Multi-step Traffic Flow Forecasting. - Daniel A. Spielman, Peng Zhang:
Hardness Results for Weaver's Discrepancy Problem. - Fernando Hernando, Carlos Galindo, Helena Martín-Cruz:
Optimal (r, δ)-LRCs from zero-dimensional affine variety codes and their subfield-subcodes. - Juntao Huang, Thomas Izgin, Stefan Kopecz, Andreas Meister, Chi-Wang Shu:
On the stability of strong-stability-preserving modified Patankar Runge-Kutta schemes. - Eugen Salzmann, Florian Zwicke, Stefanie Elgeti:
Computing the jump-term in space-time FEM for arbitrary temporal interpolation. - Bowen Jing, Gabriele Corso, Renato Berlinghieri, Tommi S. Jaakkola:
Subspace Diffusion Generative Models. - Mingle Xu, Sook Yoon, Alvaro Fuentes, Dong Sun Park:
A Comprehensive Survey of Image Augmentation Techniques for Deep Learning. - Thibaut Kulak, Anthony Fillion, François Blayo:
A unified view on Self-Organizing Maps (SOMs) and Stochastic Neighbor Embedding (SNE). - Jun-Jie Zhang, Dong-Xiao Zhang, Jian-Nan Chen, Long-Gang Pang:
On the uncertainty principle of neural networks. - Katherine Stasaski, Marti A. Hearst:
Semantic Diversity in Dialogue with Natural Language Inference. - Hung-yi Lee, Shang-Wen Li, Ngoc Thang Vu:
Meta Learning for Natural Language Processing: A Survey. - Philipp Mohr, Gerhard Bauch:
Uniform Vs. Non-Uniform Coarse Quantization in Mutual Information Maximizing LDPC Decoding. - Jinbao Zhu, Jie Li, Songze Li:
Private Matrix Multiplication From MDS-Coded Storage With Colluding Servers. - Nayla Escribano, Jon Ander González, Julen Orbegozo-Terradillos, Ainara Larrondo-Ureta, Simón Peña-Fernández, Olatz Perez-de-Viñaspre, Rodrigo Agerri:
BasqueParl: A Bilingual Corpus of Basque Parliamentary Transcriptions. - Weichao Lan, Yiu-ming Cheung, Juyong Jiang:
Compact Neural Networks via Stacking Designed Basic Units. - Daniele Fakhoury, Emanuele Fakhoury, Hendrik Speleers:
ExSpliNet: An interpretable and expressive spline-based neural network. - Ayaz Ur Rehman, Anas Nadeem, Muhammad Zubair Malik:
Fair Feature Subset Selection using Multiobjective Genetic Algorithm. - Nicolas Resch, Chen Yuan:
Threshold Rates of Codes Ensembles: Linear is Best. - Viet Pham Ngoc, David Tuckey, Herbert Wiklicky:
Tunable Quantum Neural Networks in the QPAC-Learning Framework. 221-235 - Nikolas Ebert, Patrick Mangat, Oliver Wasenmüller:
Multitask Network for Joint Object Detection, Semantic Segmentation and Human Pose Estimation in Vehicle Occupancy Monitoring. - Junyi Li, Tianyi Tang, Zheng Gong, Lixin Yang, Zhuohao Yu, Zhipeng Chen, Jingyuan Wang, Wayne Xin Zhao, Ji-Rong Wen:
ElitePLM: An Empirical Study on General Language Ability Evaluation of Pretrained Language Models. - Kyle Chard, Yadu N. Babuji, Anna Woodard, Ben Clifford, Zhuozhao Li, Mihael Hategan, Ian T. Foster, Mike Wilde, Daniel S. Katz:
Extended Abstract: Productive Parallel Programming with Parsl. - Zhendong Yang, Zhe Li, Mingqi Shao, Dachuan Shi, Zehuan Yuan, Chun Yuan:
Masked Generative Distillation. - Lukas Westhofen, Christian Neurohr, Martin Butz, Maike Scholtes, Michael Schuldes:
Using Ontologies for the Formalization and Recognition of Criticality for Automated Driving. - Shima Salar Hosseini, Paeiz Azmi, Nader Mokari:
Average Age of Information Minimization in Reliable Covert Communication on Time-Varying Channels. - Tobias Jawecki:
A review of the Separation Theorem of Chebyshev-Markov-Stieltjes for polynomial and some rational Krylov subspaces. - Darian Tomasevic, Peter Peer, Vitomir Struc:
BiOcularGAN: Bimodal Synthesis and Annotation of Ocular Images. - Jingfeng Yang, Le Zhang, Diyi Yang:
SUBS: Subtree Substitution for Compositional Semantic Parsing. - Danilo Vucetic, Mohammadreza Tayaranian, Maryam Ziaeefard, James J. Clark, Brett H. Meyer, Warren J. Gross:
Efficient Fine-Tuning of BERT Models on the Edge. - Junyi Li, Tianyi Tang, Jian-Yun Nie, Ji-Rong Wen, Wayne Xin Zhao:
Learning to Transfer Prompts for Text Generation. - Yukun Feng, Feng Li, Ziang Song, Boyuan Zheng, Philipp Koehn:
Learn To Remember: Transformer with Recurrent Memory for Document-Level Machine Translation. - J. Christian Smith:
Effective Security by Obscurity. - Nafise Sadat Moosavi, Quentin Delfosse, Kristian Kersting, Iryna Gurevych:
Adaptable Adapters. - Yunzheng Su, Lei Jiang:
Point Cloud Semantic Segmentation using Multi Scale Sparse Convolution Neural Network. - Qi Zhang, Wei Lin, Antoni B. Chan:
Cross-View Cross-Scene Multi-View Crowd Counting. - Skye Kychenthal:
Why The Trans Programmer? - Mike Kosek, Hendrik Cech, Vaibhav Bajpai, Jörg Ott:
Exploring Proxying QUIC and HTTP/3 for Satellite Communication. - Burak Hasircioglu, Deniz Gündüz:
Privacy Amplification via Random Participation in Federated Learning. - Peyman Passban, Tanya G. Roosta, Rahul Gupta, Ankit Chadha, Clement Chung:
Training Mixed-Domain Translation Models via Federated Learning. - Ahad Hamednia, Nikolce Murgovski, Jonas Fredriksson, Jimmy Forsman, Mitra Pourabdollah, Viktor Larsson:
Optimal Thermal Management, Charging, and Eco-driving of Battery Electric Vehicles. - Sally Dong, Yu Gao, Gramoz Goranci, Yin Tat Lee, Richard Peng, Sushant Sachdeva, Guanghao Ye:
Nested Dissection Meets IPMs: Planar Min-Cost Flow in Nearly-Linear Time. - Bayram Bayramli, Junhwa Hur, Hongtao Lu:
RAFT-MSF: Self-Supervised Monocular Scene Flow using Recurrent Optimizer. - Shu-Hung Kuo, Tian-Sheuan Chang:
PSCNN: A 885.86 TOPS/W Programmable SRAM-based Computing-In-Memory Processor for Keyword Spotting. - Tzu-Hsuan Chen, Tian Sheuan Chang:
RangeSeg: Range-Aware Real Time Segmentation of 3D LiDAR Point Clouds. - Kuo-Wei Chang, Hsu-Tung Shih, Tian-Sheuan Chang, Shang-Hong Tsai, Chih-Chyau Yang, Chien-Ming Wu, Chun-Ming Huang:
A Real Time 1280x720 Object Detection Chip With 585MB/s Memory Traffic. - Yasith Jayawardana, Vikas G. Ashok, Sampath Jayarathna:
StreamingHub: Interactive Stream Analysis Workflows. - Sara Giuliani, Giuseppe Romana, Massimiliano Rossi:
Computing Maximal Unique Matches with the r-index. - Aaron Barrett, Jordan A. Brown, Margaret Anne Smith, Andrew Woodward, John P. Vavalle, Arash Kheradvar, Boyce E. Griffith, Aaron L. Fogelson:
A Model of Fluid-Structure and Biochemical Interactions with Applications to Subclinical Leaflet Thrombosis. - Lucas Beyer, Xiaohua Zhai, Alexander Kolesnikov:
Better plain ViT baselines for ImageNet-1k. - Zixiang Xu, Abraham G. Campbell, Soumyabrata Dev, Yuan Liang:
An Explore of Virtual Reality for Awareness of the Climate Change Crisis: A Simulation of Sea Level Rise. - Francesco Pelosin:
Simpler is Better: off-the-shelf Continual Learning Through Pretrained Backbones. - Zijian Zhang, Vinay Setty, Avishek Anand:
SparCAssist: A Model Risk Assessment Assistant Based on Sparse Generated Counterfactuals. - Hailiang Liu, Wumaier Maimaitiyiming:
A dynamic mass transport method for Poisson-Nernst-Planck equations. - Sajal Saha, Anwar Haque, Greg Sidebottom:
An Empirical Study on Internet Traffic Prediction Using Statistical Rolling Model. - Zhicheng X. Cao, Jiaxuan Zhang, Liaojun Pang:
A Bidirectional Conversion Network for Cross-Spectral Face Recognition. - Christie L. Alappat, Georg Hager, Olaf Schenk, Gerhard Wellein:
Level-based Blocking for Sparse Matrices: Sparse Matrix-Power-Vector Multiplication. - Sandra Wankmüller:
A Comparison of Approaches for Imbalanced Classification Problems in the Context of Retrieving Relevant Documents for an Analysis. - Vivek Kulkarni, Kenny Leung, Aria Haghighi:
CTM - A Model for Large-Scale Multi-View Tweet Topic Classification. - Aaron Hertzmann:
Toward Modeling Creative Processes for Algorithmic Painting. - Junyi Li, Feihu Huang, Heng Huang:
Local Stochastic Bilevel Optimization with Momentum-Based Variance Reduction. - Chengyuan Qian, Ruida Zhou, Chao Tian, Tie Liu:
Improved Weakly Private Information Retrieval Codes. - Wenjing Chen, Chao Tian:
A New Approach to Compute Information Theoretic Outer Bounds and Its Application to Regenerating Codes. - Pasquale Lafiosca, Ip-Shing Fan, Nicolas P. Avdelidis:
Automatic Segmentation of Aircraft Dents in Point Clouds. - Daniel Tang, Nick Malleson:
Data assimilation with agent-based models using Markov chain sampling. - Yi-Chong Huang, Xiaocheng Feng, Xinwei Geng, Bing Qin:
OmniKnight: Multilingual Neural Machine Translation with Language-Specific Self-Distillation. - Elena Arabadzhiyska, Cara Tursun, Hans-Peter Seidel, Piotr Didyk:
Practical Saccade Prediction for Head-Mounted Displays: Towards a Comprehensive Model. - Ling Liang, Kaidi Xu, Xing Hu, Lei Deng, Yuan Xie:
Toward Robust Spiking Neural Network Against Adversarial Perturbation. - Geoffrey F. Bomarito, Patrick E. Leser, N. C. M. Strauss, K. M. Garbrecht, Jacob D. Hochhalter:
Automated Learning of Interpretable Models with Quantified Uncertainty. - Jianfei Yang, Xinyan Chen, Han Zou, Dazhuo Wang, Lihua Xie:
AutoFi: Towards Automatic WiFi Human Sensing via Geometric Self-Supervised Learning. - Eddie Cheng, Yaping Mao, Ke Qiu, Zhizhang Shen:
A general approach to deriving diagnosability results of interconnection networks. - Thomas Place, Marc Zeitoun:
Group separation strikes back. - Trung-Kien Le, Ping Li:
Multi-view Geometry: Correspondences Refinement Based on Algebraic Properties. - Jinze Yu, Jiaming Liu, Xiaobao Wei, Haoyi Zhou, Yohei Nakata, Denis A. Gudovskiy, Tomoyuki Okuno, Jianxin Li, Kurt Keutzer, Shanghang Zhang:
Cross-Domain Object Detection with Mean-Teacher Transformer. - Lam Ngoc Dinh, Ibtissam Labriji, Mickael Maman, Emilio Calvanese Strinati:
Towards URLLC with Proactive HARQ Adaptation. - Kinshuk Dua:
Implementation of an efficient, portable and platform-agnostic cryptocurrency mining algorithm for Internet of Things devices. - (Withdrawn) Intelligent Trajectory Design for RIS-NOMA aided Multi-robot Communications.
- Marie Fortin, Boris Konev, Vladislav Ryzhikov, Yury Savateev, Frank Wolter, Michael Zakharyaschev:
Unique Characterisability and Learnability of Temporal Instance Queries. - Samyak Datta, Sameer Dharur, Vincent Cartillier, Ruta Desai, Mukul Khanna, Dhruv Batra, Devi Parikh:
Episodic Memory Question Answering. - Pan Ji, Qingan Yan, Yuxin Ma, Yi Xu:
GeoRefine: Self-Supervised Online Depth Refinement for Accurate Dense Mapping. - Chung-Ching Lin, Kevin Lin, Linjie Li, Lijuan Wang, Zicheng Liu:
Cross-modal Representation Learning for Zero-shot Action Recognition. - Daniel M. Ziegler, Seraphina Nix, Lawrence Chan, Tim Bauman, Peter Schmidt-Nielsen, Tao Lin, Adam Scherlis, Noa Nabeshima, Ben Weinstein-Raun, Daniel de Haas, Buck Shlegeris, Nate Thomas:
Adversarial Training for High-Stakes Reliability. - Shih-Yang Su, Timur M. Bagautdinov, Helge Rhodin:
DANBO: Disentangled Articulated Neural Body Representations via Graph Neural Networks. - Andrew Brown, Cheng-Yang Fu, Omkar M. Parkhi, Tamara L. Berg, Andrea Vedaldi:
End-to-End Visual Editing with a Generatively Pre-Trained Artist. - Long Chen, Mao Ye, Alistair Milne, John Hillier, Frances Oglesby:
The scope for AI-augmented interpretation of building blueprints in commercial and industrial property insurance. - Xinyi Hu, Jasper C. H. Lee, Jimmy H. M. Lee, Allen Z. Zhong:
Branch & Learn for Recursively and Iteratively Solvable Problems in Predict+Optimize. - Alexander Mordvintsev, Ettore Randazzo, Craig Fouts:
Growing Isotropic Neural Cellular Automata. - Sajal Saha, Anwar Haque, Greg Sidebottom:
Deep Sequence Modeling for Anomalous ISP Traffic Prediction. - Zoran Kostic, Alex Angus, Zhengye Yang, Zhuoxu Duan, Ivan Seskar, Gil Zussman, Dipankar Raychaudhuri:
Smart City Intersections: Intelligence Nodes for Future Metropolises. - Barbara Roessle, Matthias Nießner:
End2End Multi-View Feature Matching using Differentiable Pose Optimization. - Mingda Chen, Jingfei Du, Ramakanth Pasunuru, Todor Mihaylov, Srini Iyer, Veselin Stoyanov, Zornitsa Kozareva:
Improving In-Context Few-Shot Learning via Self-Supervised Training. - Mohammad Baradaran, Robert Bergevin:
Object Class Aware Video Anomaly Detection through Image Translation. - Jonathan Kern, Sébastien Henwood, Gonçalo Mordido, Elsa Dupraz, Abdeldjalil Aïssa-El-Bey, Yvon Savaria, François Leduc-Primeau:
MemSE: Fast MSE Prediction for Noisy Memristor-Based DNN Accelerators.