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ORCIDCoRR, June 2024
- Mudit Chopra, Abhinav Barnawal, Harshil Vagadia, Tamajit Banerjee, Shreshth Tuli, Souvik Chakraborty, Rohan Paul:
PhyPlan: Generalizable and Rapid Physical Task Planning with Physics Informed Skill Networks for Robot Manipulators. - Achilleas Filippidis, Nikolaos Marmaras, Michael Maravgakis, Alexandra Plexousaki, Manos Kamarianakis, George Papagiannakis:
VR Isle Academy: A VR Digital Twin Approach for Robotic Surgical Skill Development. - Zhiwei Li, Guodong Long:
Navigating the Future of Federated Recommendation Systems with Foundation Models. - Congbo Ma, Wei Emma Zhang, Hu Wang, Haojie Zhuang, Mingyu Guo:
Disentangling Specificity for Abstractive Multi-document Summarization. - Yaohua Liu:
A Prompt-driven Task Planning Method for Multi-drones based on Large Language Model. - Arne Binder, Leonhard Hennig, Christoph Alt:
PyTorch-IE: Fast and Reproducible Prototyping for Information Extraction. - Shinnosuke Tanaka, James Barry, Vishnudev Kuruvanthodi, Movina Moses, Maxwell J. Giammona, Nathan Herr, Mohab Elkaref, Geeth De Mel:
KnowledgeHub: An end-to-end Tool for Assisted Scientific Discovery. - Hang Zhou, Ke Ma, Shixiao Liang, Xiaopeng Li, Xiaobo Qu:
ULTra-AV: A Unified Longitudinal Trajectory Dataset for Automated Vehicle. - Kamalkumar Rathinasamy, Jayarama Nettar, Amit Kumar, Vishal Manchanda, Arun Vijayakumar, Ayush Kataria, Venkateshprasanna Manjunath
, Chidambaram GS, Jaskirat Singh Sodhi, Shoeb Shaikh, Wasim Akhtar Khan, Prashant Singh, Tanishq Dattatray Ige, Vipin Tiwari, Rajab Ali Mondal, Harshini K, S. Reka, Chetana Amancharla, Faiz Ur Rahman, Harikrishnan P. A, Indraneel Saha, Bhavya Tiwary, Navin Shankar Patel, Pradeep T. S, Balaji A J, Priyapravas, Mohammed Rafee Tarafdar:
EnterpriseEM: Fine-tuned Embeddings for Enterprise Semantic Search. - Kounianhua Du, Jizheng Chen, Jianghao Lin, Yunjia Xi, Hangyu Wang, Xinyi Dai, Bo Chen, Ruiming Tang, Weinan Zhang:
DisCo: Towards Harmonious Disentanglement and Collaboration between Tabular and Semantic Space for Recommendation. - Kounianhua Du, Jizheng Chen, Jianghao Lin, Menghui Zhu, Bo Chen, Shuai Li, Ruiming Tang:
Extracting Essential and Disentangled Knowledge for Recommendation Enhancement. - Jayaprakash Sundararaj:
Thesis: Document Summarization with applications to Keyword extraction and Image Retrieval. - Hajung Kim, Chanhwi Kim, Hoonick Lee, Kyochul Jang, Jiwoo Lee, Kyungjae Lee, Gangwoo Kim, Jaewoo Kang:
KU-DMIS at EHRSQL 2024: Generating SQL query via question templatization in EHR. - Ricardo Loor-Torres, Yuqi Wu, Esteban Cabezas, Mariana Borras, David Toro-Tobon, Mayra Durán, Misk Al Zahidy, Maria Mateo Chavez, Cristian Soto Jacome, Jungwei W. Fan, Naykky M. Singh Ospina, Yonghui Wu, Juan P. Brito:
Use of natural language processing to extract and classify papillary thyroid cancer features from surgical pathology reports. - Lingxi Xiao, Muqing Li, Yinqiu Feng, Meiqi Wang, Ziyi Zhu, Zexi Chen:
Exploration of Attention Mechanism-Enhanced Deep Learning Models in the Mining of Medical Textual Data. - Shezheng Song, Shasha Li, Shan Zhao, Chengyu Wang, Xiaopeng Li, Jie Yu, Qian Wan, Jun Ma, Tianwei Yan, Wentao Ma, Xiaoguang Mao:
PTA: Enhancing Multimodal Sentiment Analysis through Pipelined Prediction and Translation-based Alignment. - Alessio Buscemi, Daniele Proverbio:
Large Language Models' Detection of Political Orientation in Newspapers. - Jaehee Ryu, Seonhee Cho, Gyubok Lee, Edward Choi:
EHR-SeqSQL : A Sequential Text-to-SQL Dataset For Interactively Exploring Electronic Health Records. - Rebecca Dorn, Lee Kezar, Fred Morstatter, Kristina Lerman:
Harmful Speech Detection by Language Models Exhibits Gender-Queer Dialect Bias. - Medha Hira, Arnav Goel, Anubha Gupta:
CrossVoice: Crosslingual Prosody Preserving Cascade-S2ST using Transfer Learning. - Arnav Goel, Medha Hira, Anubha Gupta:
Multilingual Prosody Transfer: Comparing Supervised & Transfer Learning. - Jing Li, Zhijie Sun, Dachao Lin, Xuan He, Yi Lin, Binfan Zheng, Li Zeng, Rongqian Zhao, Xin Chen:
LocMoE+: Enhanced Router with Token Feature Awareness for Efficient LLM Pre-Training. - Guy Tennenholtz, Yinlam Chow, Chih-Wei Hsu, Lior Shani, Ethan Liang, Craig Boutilier:
Embedding-Aligned Language Models. - Jiaxing Li, Chi Xu, Feng Wang, Isaac M. von Riedemann, Cong Zhang, Jiangchuan Liu:
SCALM: Towards Semantic Caching for Automated Chat Services with Large Language Models. - Jonathan Fabrizio:
Easy real-time collision detection. - Héctor López Hidalgo, Michel Boeglin, David Kahn, Josiane Mothe, Diégo Ortiz, David Panzoli:
Adapting PromptORE for Modern History: Information Extraction from Hispanic Monarchy Documents of the XVIth Century. - Seyed Moein Ayyoubzadeh:
Persian Homograph Disambiguation: Leveraging ParsBERT for Enhanced Sentence Understanding with a Novel Word Disambiguation Dataset. - Simon Akesson, Frances Albert Santos:
Clustered Retrieved Augmented Generation (CRAG). - Hanjuan Huang, Hao-Jia Song, Hsing-Kuo Pao:
Large Language Model Pruning. - Achuth Chandrasekhar, Jonathan Chan, Francis Ogoke, Olabode Ajenifujah, Amir Barati Farimani:
AMGPT: a Large Language Model for Contextual Querying in Additive Manufacturing. - Ying Zhang, Xiaofeng Li, Zhaoyang Liu, Haipeng Zhang:
Paths of A Million People: Extracting Life Trajectories from Wikipedia. - Sara Kemper, Justin Cui, Kai Dicarlantonio, Kathy Lin, Danjie Tang, Anton Korikov, Scott Sanner:
Retrieval-Augmented Conversational Recommendation with Prompt-based Semi-Structured Natural Language State Tracking. - Tianlong Wang, Xianfeng Jiao, Yifan He, Zhongzhi Chen, Yinghao Zhu, Xu Chu, Junyi Gao, Yasha Wang, Liantao Ma:
Adaptive Activation Steering: A Tuning-Free LLM Truthfulness Improvement Method for Diverse Hallucinations Categories. - Abrar Alali, Stephan Olariu:
Reducing the Environmental Impact of Midblock Crossing. - Yinghao Zhu, Changyu Ren, Zixiang Wang, Xiaochen Zheng, Shiyun Xie, Junlan Feng, Xi Zhu, Zhoujun Li, Liantao Ma, Chengwei Pan:
EMERGE: Integrating RAG for Improved Multimodal EHR Predictive Modeling. - Hongyu Yang, Liyang He, Min Hou, Shuanghong Shen, Rui Li, Jiahui Hou, Jianhui Ma, Junda Zhao:
Aligning LLMs through Multi-perspective User Preference Ranking-based Feedback for Programming Question Answering. - Sanath Narayan, Yasser Abdelaziz Dahou Djilali, Ankit Singh, Eustache Le Bihan, Hakim Hacid:
ViSpeR: Multilingual Audio-Visual Speech Recognition. - Subhankar Maity, Aniket Deroy, Sudeshna Sarkar:
How Ready Are Generative Pre-trained Large Language Models for Explaining Bengali Grammatical Errors? - Krish Didwania, Durga Toshniwal, Amit Agarwal:
Unveiling Themes in Judicial Proceedings: A Cross-Country Study Using Topic Modeling on Legal Documents from India and the UK. - Rui Guo, Greg Farnan, Niall McLaughlin, Barry Devereux:
QUB-Cirdan at "Discharge Me!": Zero shot discharge letter generation by open-source LLM. - Andres Guevara, Juan Achury, Juan Sierra, Sebastian Benavides:
Sistemas de control basados en el estandar grafcet para la alteracion de bombas centrifugas. - Xu Wang, Yuan Wu:
Stochastic Adversarial Networks for Multi-Domain Text Classification. - Yuanpu Cao, Tianrong Zhang, Bochuan Cao, Ziyi Yin, Lu Lin, Fenglong Ma, Jinghui Chen:
Personalized Steering of Large Language Models: Versatile Steering Vectors Through Bi-directional Preference Optimization. - Tong Chen, Danny Wang, Xurong Liang, Marten Risius, Gianluca Demartini, Hongzhi Yin:
Hate Speech Detection with Generalizable Target-aware Fairness. - Francesco Cagnetta, Matthieu Wyart:
Towards a theory of how the structure of language is acquired by deep neural networks. - Gonçalo Rui Alves Faria, Sweta Agrawal, António Farinhas, Ricardo Rei, José G. C. de Souza, André F. T. Martins:
QUEST: Quality-Aware Metropolis-Hastings Sampling for Machine Translation. - Xinyi Liu, Pinxin Liu, Hangfeng He:
An Empirical Analysis on Large Language Models in Debate Evaluation. - Suraj Anand, Michael A. Lepori, Jack Merullo, Ellie Pavlick:
Dual Process Learning: Controlling Use of In-Context vs. In-Weights Strategies with Weight Forgetting. - Erwan Escudie, Matthia Sabatelli, Jilles Dibangoye:
ε-Optimally Solving Zero-Sum POSGs. - Jubin Thomas:
Optimizing Bio-energy Supply Chain to Achieve Alternative Energy Targets. - Nick Alonso, Tomas Figliolia, Anthony Ndirango, Beren Millidge:
Toward Conversational Agents with Context and Time Sensitive Long-term Memory. - Yechen Xu, Xinhao Kong, Tingjun Chen, Danyang Zhuo:
Conveyor: Efficient Tool-aware LLM Serving with Tool Partial Execution. - Congchao Wang, Sean Augenstein, Keith Rush, Wittawat Jitkrittum, Harikrishna Narasimhan, Ankit Singh Rawat, Aditya Krishna Menon, Alec Go:
Cascade-Aware Training of Language Models. - Megan Flynn, Alexander Wang, Dean Edward Alvarez, Christopher De Sa, Anil Damle:
STAT: Shrinking Transformers After Training. - David Pissarra, Isabel Curioso, João Alveira, Duarte Pereira, Bruno Ribeiro, Tomas Souper, Vasco Gomes, André V. Carreiro, Vitor Rolla:
Unlocking the Potential of Large Language Models for Clinical Text Anonymization: A Comparative Study. - Matthew Avaylon, Ryan Ly, Andrew J. Tritt, Benjamin K. Dichter, Kristofer E. Bouchard, Christopher J. Mungall, Oliver Rübel:
Methods for Linking Data to Online Resources and Ontologies with Applications to Neurophysiology. - Pranav Gupta, Anastasia S. Bizyaeva, Ravi N. Banavar:
Estimates on the domain of validity for Lyapunov-Schmidt reduction. - Chengwei Wei, Kee Kiat Koo, Amir Tavanaei, Karim Bouyarmane:
Confidence-Aware Sub-Structure Beam Search (CABS): Mitigating Hallucination in Structured Data Generation with Large Language Models. - Coleman DuPlessie, Aidan Gao:
A Novel Review of Stability Techniques for Improved Privacy-Preserving Machine Learning. - Alexandre Galvão Patriota:
Arbitrary-Length Generalization for Addition in a Tiny Transformer. - Sili Huang, Jifeng Hu, Zhejian Yang, Liwei Yang, Tao Luo, Hechang Chen, Lichao Sun, Bo Yang:
Decision Mamba: Reinforcement Learning via Hybrid Selective Sequence Modeling. - Jens Decke, Arne Jenß, Bernhard Sick, Christian Gruhl:
An Efficient Multi Quantile Regression Network with Ad Hoc Prevention of Quantile Crossing. - Jens Decke, Olaf Wünsch, Bernhard Sick, Christian Gruhl:
From Structured to Unstructured: A Comparative Analysis of Computer Vision and Graph Models in solving Mesh-based PDEs. - Eran Ben-Haim, Sefi Givli, Yizhar Or, Amir D. Gat:
Multistable Physical Neural Networks. - Jiaqi Xue, Mengxin Zheng, Yebowen Hu, Fei Liu, Xun Chen, Qian Lou:
BadRAG: Identifying Vulnerabilities in Retrieval Augmented Generation of Large Language Models. - Katherine Van Koevering, Jon M. Kleinberg:
How Random is Random? Evaluating the Randomness and Humaness of LLMs' Coin Flips. - Zeyi Sun, Tong Wu, Pan Zhang, Yuhang Zang, Xiaoyi Dong, Yuanjun Xiong, Dahua Lin, Jiaqi Wang:
Bootstrap3D: Improving 3D Content Creation with Synthetic Data. - Samuel Duffield, Kaelan Donatella, Johnathan Chiu, Phoebe Klett, Daniel Simpson:
Scalable Bayesian Learning with posteriors. - Bao Liu, Tianbao Liu, Zhongshuo Hu, Fei Ye, Lei Gao:
Dynamic Multi-Objective Lion Swarm Optimization with Multi-strategy Fusion: An application in 6R robot trajectory planning. - Hanxian Huang, Zhenghan Lin, Zixuan Wang, Xin Chen, Ke Ding, Jishen Zhao:
Towards LLM-Powered Verilog RTL Assistant: Self-Verification and Self-Correction. - Eura Nofshin, Esther Brown, Brian Lim, Weiwei Pan, Finale Doshi-Velez:
A Sim2Real Approach for Identifying Task-Relevant Properties in Interpretable Machine Learning. - Katayoun Kobraei, Mehrdad Baradaran, Seyed Mohsen Sadeghi, Raziyeh Masumshah, Changiz Eslahchi:
ADEP: A Novel Approach Based on Discriminator-Enhanced Encoder-Decoder Architecture for Accurate Prediction of Adverse Effects in Polypharmacy. - Melanie Schmidt-Wolf, Tyler Becker, Denielle Oliva, Monica N. Nicolescu, David Feil-Seifer:
Through the Clutter: Exploring the Impact of Complex Environments on the Legibility of Robot Motion. - Andrew C. Li, Zizhao Chen, Toryn Q. Klassen, Pashootan Vaezipoor, Rodrigo Toro Icarte, Sheila A. McIlraith:
Reward Machines for Deep RL in Noisy and Uncertain Environments. - Tiancheng Shen, Jun Hao Liew, Long Mai, Lu Qi, Jiashi Feng, Jiaya Jia:
Empowering Visual Creativity: A Vision-Language Assistant to Image Editing Recommendations. - Kevin Christian Wibisono, Yixin Wang:
How In-Context Learning Emerges from Training on Unstructured Data: On the Role of Co-Occurrence, Positional Information, and Noise Structures. - Zhuo Chen, Rumen Dangovski, Charlotte Loh, Owen Dugan, Di Luo, Marin Soljacic:
QuanTA: Efficient High-Rank Fine-Tuning of LLMs with Quantum-Informed Tensor Adaptation. - Mohammed Amine Gharsallaoui, Bhupinderjeet Singh, Supriya Savalkar, Aryan Deshwal, Yan Yan, Ananth Kalyanaraman, Kirti Rajagopalan, Janardhan Rao Doppa:
Streamflow Prediction with Uncertainty Quantification for Water Management: A Constrained Reasoning and Learning Approach. - Ocheme Anthony Ekle, William Eberle:
Anomaly Detection in Dynamic Graphs: A Comprehensive Survey. - Youssef Mohamed, Zeyad Youssef, Ahmed Heakl, Ahmed B. Zaky:
Advancing Ear Biometrics: Enhancing Accuracy and Robustness through Deep Learning. - Xiaolong Sun, Liushuai Shi, Le Wang, Sanping Zhou, Kun Xia, Yabing Wang, Gang Hua:
Diversifying Query: Region-Guided Transformer for Temporal Sentence Grounding. - Akshay Badagabettu, Sai Sravan Yarlagadda, Amir Barati Farimani:
Query2CAD: Generating CAD models using natural language queries. - Matej Bozic, Marko Horvat:
A Survey of Deep Learning Audio Generation Methods. - Alireza Fallah, Michael I. Jordan, Annie Ulichney:
Fair Allocation in Dynamic Mechanism Design. - Eric Balkanski, Steven DiSilvio, Alan Kuhnle:
Submodular Maximization in Exactly n Queries. - Yilin Zheng, Atilla Eryilmaz:
Non-Federated Multi-Task Split Learning for Heterogeneous Sources. - Benjamin Thérien, Charles-Étienne Joseph, Boris Knyazev, Edouard Oyallon, Irina Rish, Eugene Belilovsky:
μLO: Compute-Efficient Meta-Generalization of Learned Optimizers. - Sowmya Chandrasekaran, Thomas Bartz-Beielstein:
A Novel Ranking Scheme for the Performance Analysis of Stochastic Optimization Algorithms using the Principles of Severity. - Ali ArjomandBigdeli, Andrew Mata, Stanley Bak:
Verification of Neural Network Control Systems in Continuous Time. - Benjamin Brock, Robert Cohn, Suyash Bakshi, Tuomas Karna, Jeongnim Kim, Mateusz Nowak, Lukasz Slusarczyk, Kacper Stefanski, Timothy G. Mattson:
Distributed Ranges: A Model for Distributed Data Structures, Algorithms, and Views. - Giosuè Baggio, Elliot Murphy:
On the referential capacity of language models: An internalist rejoinder to Mandelkern & Linzen. - Yongge Yang, Yu-Ching Lee, Po-An Chen, Chuang-Chieh Lin:
Robustness of Online Proportional Response in Stochastic Online Fisher Markets: a Decentralized Approach. - Dao Thanh Hai, Minh Nguyen, Isaac Woungang:
Optical-computing-enabled Network: A New Dawn for Optical-layer Intelligence? - Pratik Harsh, Hongjian Sun, Debapriya Das, Goyal Awagan, Jing Jiang:
A Stochastic Incentive-based Demand Response Program for Virtual Power Plant with Solar, Battery, Electric Vehicles, and Controllable Loads. - Sebastian Otte:
Flexible and Efficient Surrogate Gradient Modeling with Forward Gradient Injection. - Bernd Bohnet, Kevin Swersky, Rosanne Liu, Pranjal Awasthi, Azade Nova, Javier Snaider, Hanie Sedghi, Aaron T. Parisi, Michael Collins, Angeliki Lazaridou, Orhan Firat, Noah Fiedel:
Long-Span Question-Answering: Automatic Question Generation and QA-System Ranking via Side-by-Side Evaluation. - Jerin Yasmin, Jiale Wang, Yuan Tian, Bram Adams:
An Empirical Study of Developers' Challenges in Implementing Workflows as Code: A Case Study on Apache Airflow. - Huong Nguyen, Tri Nguyen, Lauri Lovén, Susanna Pirttikangas:
Wait or Not to Wait: Evaluating Trade-Offs between Speed and Precision in Blockchain-based Federated Aggregation. - Swathi Narashiman, Venkat A, Divyaratna Joshi, Deepak Sridhar, Harish Rajesh, Sanjay Sattva, Aniruddha S, Jayanth B, Varun Manjunath, Ragavendiran N:
Chiplets on Wheels: Review Paper on Holistic Chiplet Solutions for Autonomous Vehicles. - Dmitry Alexandrovsky, Kathrin Gerling, Merlin Steven Opp, Christopher Benjamin Hahn, Max V. Birk, Meshaiel M. Alsheail:
Disengagement From Games: Characterizing the Experience and Process of Exiting Play Sessions. - Zhengang Li, Yan Kang, Yuchen Liu, Difan Liu, Tobias Hinz, Feng Liu, Yanzhi Wang:
SNED: Superposition Network Architecture Search for Efficient Video Diffusion Model. - Qian Ruan, Ilia Kuznetsov, Iryna Gurevych:
Re3: A Holistic Framework and Dataset for Modeling Collaborative Document Revision. - Ilya Shenbin, Sergey I. Nikolenko:
ImplicitSLIM and How it Improves Embedding-based Collaborative Filtering. - Gregory Schwartzman:
Exfiltration of personal information from ChatGPT via prompt injection. - John T. Halloran, Manbir Gulati, Paul F. Roysdon:
Mamba State-Space Models Can Be Strong Downstream Learners. - Jinchao Zhu, Yuxuan Wang, Siyuan Pan, Pengfei Wan, Di Zhang, Gao Huang:
A-SDM: Accelerating Stable Diffusion through Model Assembly and Feature Inheritance Strategies. - Yufei Huang, Yulin Li, Andrea Matta, Mohsen A. Jafari:
Navigating Autonomous Vehicle on Unmarked Roads with Diffusion-Based Motion Prediction and Active Inference. - Kamesh Munagala, Govind S. Sankar:
Individual Fairness in Graph Decomposition. - Jie JW Wu, Fatemeh H. Fard:
Benchmarking the Communication Competence of Code Generation for LLMs and LLM Agent. - Michail Mamalakis, Héloïse de Vareilles, Graham K. Murray, Pietro Lio, John Suckling:
The Explanation Necessity for Healthcare AI. - Bimsara Pathiraja, Caleb Liu, Ransalu Senanayake:
Fairness in Autonomous Driving: Towards Understanding Confounding Factors in Object Detection under Challenging Weather. - Gonzalo Navarro, Alejandro Pacheco:
Counting on General Run-Length Grammars. - Maximillian Chen, Ruoxi Sun, Sercan Ö. Arik, Tomas Pfister:
Learning to Clarify: Multi-turn Conversations with Action-Based Contrastive Self-Training. - Ian DeHaan, Kanstantsin Pashkovich:
Matroid Bayesian Online Selection. - Kristi Doleh, Leonard Humphrey, Chandler M. Linseisen, Michael D. Kitcher, Joanna M. Martin, Can Cui, Jean Anne C. Incorvia, Felipe García-Sánchez, Naimul Hassan, Alexander J. Edwards, Joseph S. Friedman:
Kinematic Model of Magnetic Domain Wall Motion for Fast, High-Accuracy Simulations. - William Hogan, Jingbo Shang:
Entangled Relations: Leveraging NLI and Meta-analysis to Enhance Biomedical Relation Extraction. - Haoan Feng, Xin Xu, Leila De Floriani:
ImplicitTerrain: a Continuous Surface Model for Terrain Data Analysis. - Yifan Zeng, Ojas Tendolkar, Raymond Baartmans, Qingyun Wu, Huazheng Wang, Lizhong Chen:
LLM-RankFusion: Mitigating Intrinsic Inconsistency in LLM-based Ranking. - Ziyi Zhang, Yorie Nakahira, Guannan Qu:
Learning to Stabilize Unknown LTI Systems on a Single Trajectory under Stochastic Noise. - Ana Dodik, Vincent Sitzmann, Justin Solomon, Oded Stein:
Robust Biharmonic Skinning Using Geometric Fields. - Nurul Rafi, Pablo Rivas:
A Review of Pulse-Coupled Neural Network Applications in Computer Vision and Image Processing. - Frank Weizhen Liu, Chenhui Hu:
Exploring Vulnerabilities and Protections in Large Language Models: A Survey. - Nate Rahn, Pierluca D'Oro, Marc G. Bellemare:
Controlling Large Language Model Agents with Entropic Activation Steering. - Navid Mehrdad, Hrushikesh Mohapatra, Mossaab Bagdouri, Prijith Chandran, Alessandro Magnani, Xunfan Cai, Ajit Puthenputhussery, Sachin Yadav, Tony Lee, ChengXiang Zhai, Ciya Liao:
Large Language Models for Relevance Judgment in Product Search. - Mina Rafiei, Mohammadmahdi Maheri, Hamid R. Rabiee:
Privacy Challenges in Meta-Learning: An Investigation on Model-Agnostic Meta-Learning. - Julian Hyde, John Fremlin:
Measures in SQL. - Bowen Jiang, Yangxinyu Xie, Xiaomeng Wang, Weijie J. Su, Camillo J. Taylor, Tanwi Mallick:
Multi-Modal and Multi-Agent Systems Meet Rationality: A Survey. - Zehao Huang, Gancheng Zhu, Xiaoting Duan, Rong Wang, Yongkai Li, Shuai Zhang, Zhiguo Wang:
Measuring eye-tracking accuracy and its impact on usability in apple vision pro. - Mohamed Seif, Yuqi Nie, Andrea Goldsmith, H. Vincent Poor:
Over-the-Air Collaborative Inference with Feature Differential Privacy. - Mohammed Saidul Islam, Raian Rahman, Ahmed Masry, Md. Tahmid Rahman Laskar, Mir Tafseer Nayeem, Enamul Hoque:
Are Large Vision Language Models up to the Challenge of Chart Comprehension and Reasoning? An Extensive Investigation into the Capabilities and Limitations of LVLMs. - Jihao Qiu, Yuan Zhang, Xi Tang, Lingxi Xie, Tianren Ma, Pengyu Yan, David S. Doermann, Qixiang Ye, Yunjie Tian:
Artemis: Towards Referential Understanding in Complex Videos. - Zhengqing Wang, Jiacheng Chen, Yasutaka Furukawa:
PuzzleFusion++: Auto-agglomerative 3D Fracture Assembly by Denoise and Verify. - Sifan Song, Jinfeng Wang, Qiaochu Zhao, Xiang Li, Dufan Wu, Angelos Stefanidis, Jionglong Su, S. Kevin Zhou, Quanzheng Li:
Contrastive Learning Via Equivariant Representation. - Raehyuk Jung, Sungmin Cho, Junseok Kwon:
Upright adjustment with graph convolutional networks. - AmirHossein Zamani, Amir G. Aghdam, Tiberiu Popa, Eugene Belilovsky:
Temporally Consistent Object Editing in Videos using Extended Attention. - Songhua Liu, Xin Jin, Xingyi Yang, Jingwen Ye, Xinchao Wang:
StyDeSty: Min-Max Stylization and Destylization for Single Domain Generalization. - Shengyu Tao, Mengtian Zhang, Zixi Zhao, Haoyang Li, Ruifei Ma, Yunhong Che, Xin Sun, Lin Su, Xiangyu Chen, Zihao Zhou, Heng Chang, Tingwei Cao, Xiao Xiao, Yaojun Liu, Wenjun Yu, Zhongling Xu, Yang Li, Han Hao, Xuan Zhang, Xiaosong Hu, Guangmin Zhou:
Non-destructive Degradation Pattern Decoupling for Ultra-early Battery Prototype Verification Using Physics-informed Machine Learning. - Dipankar Chaki, Athman Bouguettaya, Abdallah Lakhdari:
Impact Conflict Detection of IoT Services in Multi-resident Smart Homes. - Jintai Chen, Zhen Lin, Qiyuan Chen, Jimeng Sun:
Cross-Table Pretraining towards a Universal Function Space for Heterogeneous Tabular Data. - Chengzeng You, Zhongyuan Hau, Binbin Xu, Soteris Demetriou:
Adversarial 3D Virtual Patches using Integrated Gradients. - Long Hei Matthew Lam, Ehsan Shareghi:
A Closer Look at Logical Reasoning with LLMs: The Choice of Tool Matters. - Steven A. Grosz, Anil K. Jain:
GenPalm: Contactless Palmprint Generation with Diffusion Models. - Aram-Alexandre Pooladian, Carles Domingo-Enrich, Ricky T. Q. Chen, Brandon Amos:
Neural Optimal Transport with Lagrangian Costs. - Eduardo Reis, Thangarajah Akilan, Mohammed Khalid:
Phasor-Driven Acceleration for FFT-based CNNs. - Yiyang Zhao, Linnan Wang, Tian Guo:
Multi-objective Neural Architecture Search by Learning Search Space Partitions. - Manuel Cherep, Nikhil Singh, Jessica Shand:
Creative Text-to-Audio Generation via Synthesizer Programming. - Olivier Massicot, Cédric Langbort:
On Network Congestion Reduction Using Public Signals Under Boundedly Rational User Equilibria (Full Version). - Parsa Moradi, Behrooz Tahmasebi, Mohammad Ali Maddah-Ali:
Coded Computing: A Learning-Theoretic Framework. - Guoxing Yao, Lav Gupta:
A Survey on the Use of Partitioning in IoT-Edge-AI Applications. - Baris Askin, Pranay Sharma, Carlee Joe-Wong, Gauri Joshi:
FedAST: Federated Asynchronous Simultaneous Training. - Sangwon Ryu, Heejin Do, Yunsu Kim, Gary Geunbae Lee, Jungseul Ok:
Multi-Dimensional Optimization for Text Summarization via Reinforcement Learning. - Khoa Vo, Thinh Phan, Kashu Yamazaki, Minh Tran, Ngan Le:
HENASY: Learning to Assemble Scene-Entities for Egocentric Video-Language Model. - Abdulhalim Fayad, Tibor Cinkler, Jacek Rak:
Toward 6G Optical Fronthaul: A Survey on Enabling Technologies and Research Perspectives. - Wugang Meng, Tianfu Wu, Huan Yin, Fumin Zhang:
NuRF: Nudging the Particle Filter in Radiance Fields for Robot Visual Localization. - Raul Steinmetz, Victor Augusto Kich, Henrique L. Krever, João Davi Rigo Mazzarolo, Ricardo B. Grando, Vinicius Marini, Celio Trois, Ard Nieuwenhuizen:
From Seedling to Harvest: The GrowingSoy Dataset for Weed Detection in Soy Crops via Instance Segmentation. - Sarthak Harne, Monjoy Narayan Choudhury, Madhav Rao, T. K. Srikanth, Seema Mehrotra, Apoorva Vashisht, Aarushi Basu, Manjit Sodhi:
CASE: Efficient Curricular Data Pre-training for Building Assistive Psychology Expert Models. - Victor Augusto Kich, Muhammad A. Muttaqien, Junya Toyama, Ryutaro Miyoshi, Yosuke Ida, Akihisa Ohya, Hisashi Date:
Precision and Adaptability of YOLOv5 and YOLOv8 in Dynamic Robotic Environments. - Yubo Wang, Hao Xin, Lei Chen:
KGLink: A column type annotation method that combines knowledge graph and pre-trained language model. - Yongqi Wang, Wenxiang Guo, Rongjie Huang, Jiawei Huang, Zehan Wang, Fuming You, Ruiqi Li, Zhou Zhao:
Frieren: Efficient Video-to-Audio Generation with Rectified Flow Matching. - Qile Fan, Penghang Yu, Zhiyi Tan, Bing-Kun Bao, Guanming Lu:
BeFA: A General Behavior-driven Feature Adapter for Multimedia Recommendation. - Hyunseung Kim, Byungkun Lee, Hojoon Lee, Dongyoon Hwang, Donghu Kim, Jaegul Choo:
Do's and Don'ts: Learning Desirable Skills with Instruction Videos. - Yixiong Chen, Zongwei Zhou, Alan L. Yuille:
Quality Sentinel: Estimating Label Quality and Errors in Medical Segmentation Datasets. - Alexander Munteanu, Simon Omlor:
Optimal bounds for ℓp sensitivity sampling via ℓ2 augmentation. - Fahimeh Fakour, Ali Mosleh, Ramin Ramezani:
A Structured Review of Literature on Uncertainty in Machine Learning & Deep Learning. - Dugang Liu, Shenxian Xian, Xiaolin Lin, Xiaolian Zhang, Hong Zhu, Yuan Fang, Zhen Chen, Zhong Ming:
A Practice-Friendly Two-Stage LLM-Enhanced Paradigm in Sequential Recommendation. - Yiwei Ma, Jiayi Ji, Xiaoshuai Sun, Yiyi Zhou, Xiaopeng Hong, Yongjian Wu, Rongrong Ji:
Image Captioning via Dynamic Path Customization. - Dugang Liu, Xing Tang, Yang Qiao, Miao Liu, Zexu Sun, Xiuqiang He, Zhong Ming:
Benchmarking for Deep Uplift Modeling in Online Marketing. - Ka I Chan, Yuntao Wang, Siying Hu, Bo Hei, Zhicong Lu, Pei-Luen Patrick Rau, Yuanchun Shi:
The Odyssey Journey: Hemifacial Spasm Patients' Top-Tier Medical Resource Seeking in China from an Actor-Network Perspective. - Mark Ainsworth, Charles Parker:
Two and three dimensional H2-conforming finite element approximations without C1-elements. - Alexander Munteanu, Simon Omlor:
Turnstile ℓp leverage score sampling with applications. - Millicent Ochieng, Varun Gumma, Sunayana Sitaram, Jindong Wang, Vishrav Chaudhary, Keshet Ronen, Kalika Bali, Jacki O'Neill:
Beyond Metrics: Evaluating LLMs' Effectiveness in Culturally Nuanced, Low-Resource Real-World Scenarios. - Qiuyang Mang, Jingbang Chen, Hangrui Zhou, Yu Gao, Yingli Zhou, Richard Peng, Yixiang Fang, Chenhao Ma:
Efficient Historical Butterfly Counting in Large Temporal Bipartite Networks via Graph Structure-aware Index. - Zhi Zhou, Ming Yang, Jiang-Xin Shi, Lan-Zhe Guo, Yu-Feng Li:
DeCoOp: Robust Prompt Tuning with Out-of-Distribution Detection. - Cheng Xu, Fei Hou, Wencheng Wang, Hong Qin, Zhebin Zhang, Ying He:
Details Enhancement in Unsigned Distance Field Learning for High-fidelity 3D Surface Reconstruction. - Hanxiao Wang, Mingyang Zhao, Weize Quan, Zhen Chen, Dongming Yan, Peter Wonka:
E3-Net: Efficient E(3)-Equivariant Normal Estimation Network. - Wadii Boulila, Eman Alshanqiti, Ayyub Alzahem, Anis Koubaa, Nabil Mlaiki:
An Effective Weight Initialization Method for Deep Learning: Application to Satellite Image Classification. - Ken-ichi Kawarabayashi, Mikkel Thorup, Hirotaka Yoneda:
Better coloring of 3-colorable graphs. - Hannah B. Pasandi, Faith Parastar:
Location Privacy in B5G/6G: Systematization of Knowledge. - Malik Zohaib Nisar, Muhammad Sohail Ibrahim, Muhammad Usman, Jeong-A Lee:
L2R-CIPU: Efficient CNN Computation with Left-to-Right Composite Inner Product Units. - Hisayoshi Muramatsu:
Quasi-periodic Disturbance Observer for Wideband Harmonic Suppression. - Chuang Wang, Lie Yang, Ze Lin, Yizhi Liao, Gang Chen, Longhan Xie:
Cognitive Manipulation: Semi-supervised Visual Representation and Classroom-to-real Reinforcement Learning for Assembly in Semi-structured Environments. - Md. Mostafizer Rahman, Ariful Islam Shiplu, Yutaka Watanobe, Md. Ashad Alam:
RoBERTa-BiLSTM: A Context-Aware Hybrid Model for Sentiment Analysis. - Valerii Iakovlev, Harri Lähdesmäki:
Modeling Randomly Observed Spatiotemporal Dynamical Systems. - Maurício Sousa, Daniel Mendes, Alfredo Ferreira, João Madeiras Pereira, Joaquim Jorge:
Eery Space: Facilitating Virtual Meetings Through Remote Proxemics. - Kazuhiro Hiraki, Shinichi Ishihara, Junnosuke Shino:
Alternative Methods to SHAP Derived from Properties of Kernels: A Note on Theoretical Analysis. - Xinhao He, Dan Li:
Performance Evaluation of Damping Systems in Civil Engineering Structures Via Minimal Sensor. - José Miguel Moreno, Narseo Vallina-Rodriguez, Juan Tapiador:
Did I Vet You Before? Assessing the Chrome Web Store Vetting Process through Browser Extension Similarity. - Snehasis Banerjee, Sayan Paul, Ruddra Dev Roychoudhury, Abhijan Bhattacharyya, Chayan Sarkar, Ashis Sau, Pradip Pramanick, Brojeshwar Bhowmick:
Teledrive: An Embodied AI based Telepresence System. - Yuhan Wu, Hanbo Wu, Xilai Liu, Yikai Zhao, Tong Yang, Kaicheng Yang, Sha Wang, Lihua Miao, Gaogang Xie:
Approaching 100% Confidence in Stream Summary through ReliableSketch. - Chujie Gao, Qihui Zhang, Dongping Chen, Yue Huang, Siyuan Wu, Zhengyan Fu, Yao Wan, Xiangliang Zhang, Lichao Sun:
The Best of Both Worlds: Toward an Honest and Helpful Large Language Model. - Baoyue Zhang, Yajing Zheng, Shiyan Chen, Jiyuan Zhang, Kang Chen, Zhaofei Yu, Tiejun Huang:
SpikeMM: Flexi-Magnification of High-Speed Micro-Motions. - Matan Rusanovsky, Or Hirschorn, Shai Avidan:
CapeX: Category-Agnostic Pose Estimation from Textual Point Explanation. - Saya Higuchi, Sander M. Bohté, Sebastian Otte:
Understanding the Convergence in Balanced Resonate-and-Fire Neurons. - Nhi Ngoc-Yen Nguyen, Le-Huy Tu, Dieu-Phuong Nguyen, Nhat-Tan Do, Minh Triet Thai, Bao-Thien Nguyen-Tat:
DS@BioMed at ImageCLEFmedical Caption 2024: Enhanced Attention Mechanisms in Medical Caption Generation through Concept Detection Integration. - Jonathan Cook, Chris Lu, Edward Hughes, Joel Z. Leibo, Jakob N. Foerster:
Artificial Generational Intelligence: Cultural Accumulation in Reinforcement Learning. - Raysa M. Benatti, Fabiana C. Severi, Sandra Avila, Esther Luna Colombini:
Gender Bias Detection in Court Decisions: A Brazilian Case Study. - Riccardo Massidda, Sara Magliacane, Davide Bacciu:
Learning Causal Abstractions of Linear Structural Causal Models. - Youngkyoung Bae, Yeongwoo Song, Hawoong Jeong:
Stochastic Restarting to Overcome Overfitting in Neural Networks with Noisy Labels. - Zelin Yao, Chuang Liu, Xueqi Ma, Mukun Chen, Jia Wu, Xiantao Cai, Bo Du, Wenbin Hu:
Dual-perspective Cross Contrastive Learning in Graph Transformers. - Lihao Wang, Zhaofei Yu:
Autaptic Synaptic Circuit Enhances Spatio-temporal Predictive Learning of Spiking Neural Networks. - Muhammad Asad Tariq, Rafay Junaid, Muhammad Mehdy Hasnain, Danyal Farhat:
Computer Simulation of DNA Computing-Based Boolean Matrix Multiplication. - Mazen Balat, Youssef Mohamed, Ahmed Heakl, Ahmed B. Zaky:
Arabic Handwritten Text for Person Biometric Identification: A Deep Learning Approach. - Jaeseung Heo, Moonjeong Park, Dongwoo Kim:
Posterior Label Smoothing for Node Classification. - Xuan Wu, Di Wang, Lijie Wen, Yubin Xiao, Chunguo Wu, Yuesong Wu, Chaoyu Yu, Douglas L. Maskell, You Zhou:
Neural Combinatorial Optimization Algorithms for Solving Vehicle Routing Problems: A Comprehensive Survey with Perspectives. - Nimrah Mustafa, Rebekka Burkholz:
GATE: How to Keep Out Intrusive Neighbors. - Le Zheng, Jiajie Zheng, Jiajian Lin, Chongru Liu:
Modal Analysis of Power System with High CIG Penetration Based on Impedance Models. - Luis Rei, Dunja Mladenic, Mareike Dorozynski, Franz Rottensteiner, Thomas Schleider, Raphaël Troncy, Jorge Sebastián Lozano, Mar Gaitán Salvatella:
Multimodal Metadata Assignment for Cultural Heritage Artifacts. - Eduardo Camps-Moreno, Hiram H. López, Gretchen L. Matthews, Emily McMillon:
Toward Quantum CSS-T Codes from Sparse Matrices. - Jacob Yoke Hong Si, Wendy Yusi Cheng, Michael Cooper, Rahul G. Krishnan:
InterpreTabNet: Distilling Predictive Signals from Tabular Data by Salient Feature Interpretation. - Shuoxi Zhang, Hanpeng Liu, Stephen Lin, Kun He:
You Only Need Less Attention at Each Stage in Vision Transformers. - Zheng Qin, Le Wang, Sanping Zhou, Panpan Fu, Gang Hua, Wei Tang:
Towards Generalizable Multi-Object Tracking. - Zhi Zheng, Qian Feng, Hang Li, Alois Knoll, Jianxiang Feng:
Evaluating Uncertainty-based Failure Detection for Closed-Loop LLM Planners. - Minsu Kim, Walid Saad, Mérouane Debbah, Choong Seon Hong:
SpaFL: Communication-Efficient Federated Learning with Sparse Models and Low computational Overhead. - Xing Cui, Peipei Li, Zekun Li, Xuannan Liu, Yueying Zou, Zhaofeng He:
Localize, Understand, Collaborate: Semantic-Aware Dragging via Intention Reasoner. - Qingming Liu, Yuan Liu, Jiepeng Wang, Xianqiang Lv, Peng Wang, Wenping Wang, Junhui Hou:
MoDGS: Dynamic Gaussian Splatting from Causually-captured Monocular Videos. - Frederik Glitzner, David F. Manlove:
Structural and algorithmic results for stable cycles and partitions in the Roommates problem. - Houston Warren, Rafael Oliveira, Fabio Ramos:
Stein Random Feature Regression. - Jia Zeng, Qingwen Bu, Bangjun Wang, Wenke Xia, Li Chen, Hao Dong, Haoming Song, Dong Wang, Di Hu, Ping Luo, Heming Cui, Bin Zhao, Xuelong Li, Yu Qiao, Hongyang Li:
Learning Manipulation by Predicting Interaction. - Xuanchen Li, Yuhao Cheng, Xingyu Ren, Haozhe Jia, Di Xu, Wenhan Zhu, Yichao Yan:
Topo4D: Topology-Preserving Gaussian Splatting for High-Fidelity 4D Head Capture. - Feiyu Zhu, Yuming Zhang, Changpeng Cai, Guinan Guo, Jiao Li, Xiuyuan Guo, Quanwei Zhang, Peizhe Wang, Chenghao He, Junhao Su:
GLCAN: Global-Local Collaborative Auxiliary Network for Local Learning. - Ahmed Heakl, Fatma Youssef, Victor Parque, Walid Gomaa:
DroneVis: Versatile Computer Vision Library for Drones. - Yuehao Wang, Chaoyi Wang, Bingchen Gong, Tianfan Xue:
Bilateral Guided Radiance Field Processing. - Karan Mirakhor, Sourav Ghosh, Dipanjan Das, Brojeshwar Bhowmick:
Task Planning for Object Rearrangement in Multi-room Environments. - Zeyu Fang, Ming Gu, Sheng Zhou, Jiawei Chen, Qiaoyu Tan, Haishuai Wang, Jiajun Bu:
Towards a Unified Framework of Clustering-based Anomaly Detection. - Zijie Zhong, Hanwen Liu, Xiaoya Cui, Xiaofan Zhang, Zengchang Qin:
Mix-of-Granularity: Optimize the Chunking Granularity for Retrieval-Augmented Generation. - Hidir Yesiltepe, Yusuf Dalva, Pinar Yanardag:
The Curious Case of End Token: A Zero-Shot Disentangled Image Editing using CLIP. - Truong Son Hy, Thieu Khang, Risi Kondor:
Learning to Solve Multiresolution Matrix Factorization by Manifold Optimization and Evolutionary Metaheuristics. - Shiwei Cheng, Jialing Wang:
MI 2 MI: Training Dyad with Collaborative Brain-Computer Interface and Cooperative Motor Imagery Tasks for Better BCI Performance. - Mustafa Sakhai, Szymon Mazurek, Jakub Caputa, Jan K. Argasinski, Maciej Wielgosz:
Pedestrian intention prediction in Adverse Weather Conditions with Spiking Neural Networks and Dynamic Vision Sensors. - Zimin Xia, Yujiao Shi, Hongdong Li, Julian F. P. Kooij:
Adapting Fine-Grained Cross-View Localization to Areas without Fine Ground Truth. - Jihu Lei:
Green Supply Chain Management Optimization Based on Chemical Industrial Clusters. - Duojun Huang, Xinyu Xiong, Jie Ma, Jichang Li, Zequn Jie, Lin Ma, Guanbin Li:
AlignSAM: Aligning Segment Anything Model to Open Context via Reinforcement Learning. - Manogna Sreenivas, Soma Biswas:
Effectiveness of Vision Language Models for Open-world Single Image Test Time Adaptation. - Robin Schiewer, Anand Subramoney, Laurenz Wiskott:
Exploring the limits of Hierarchical World Models in Reinforcement Learning. - Gene Li, Lin Chen, Adel Javanmard, Vahab Mirrokni:
Optimistic Rates for Learning from Label Proportions. - Liping Yi, Han Yu, Chao Ren, Gang Wang, Xiaoguang Liu, Xiaoxiao Li:
Federated Model Heterogeneous Matryoshka Representation Learning. - Wei Jiang, Sifan Yang, Wenhao Yang, Lijun Zhang:
Efficient Sign-Based Optimization: Accelerating Convergence via Variance Reduction. - Jingyu Zhang, Jin Cao, Jinghao Chang, Xinjin Li, Houze Liu, Zhenglin Li:
Research on the Application of Computer Vision Based on Deep Learning in Autonomous Driving Technology. - Siqi Fan, Yuxin Zhong, I-Hong Hou, Clement Kai-Ming Kam:
Optimizing Age of Information in Random Access Networks: A Second-Order Approach for Active/Passive Users. - Hongzhan Yu, Sicun Gao:
Activation-Descent Regularization for Input Optimization of ReLU Networks. - Laura S. Tinnel, O. Sami Saydjari, Dave Farrell:
Cyberwar Strategy and Tactics: An Analysis of Cyber Goals, Strategies, Tactics, and Techniques. - Xiaoqian Liu, Guoqiang Hu, Yangfan Du, Erfeng He, Yingfeng Luo, Chen Xu, Tong Xiao, Jingbo Zhu:
Recent Advances in End-to-End Simultaneous Speech Translation. - Ioana Radulescu, Alexandra Baicoianu, Adela Mihai:
Conformal Transformation of Kernels: A Geometric Perspective on Text Classification. - Biao Wu, Diankai Zhang, Si Gao, Chengjian Zheng, Shaoli Liu, Ning Wang:
2nd Place Solution for PVUW Challenge 2024: Video Panoptic Segmentation. - Luigi Capogrosso, Federico Girella, Francesco Taioli, Michele Dalla Chiara, Muhammad Aqeel, Franco Fummi, Francesco Setti, Marco Cristani:
Diffusion-based Image Generation for In-distribution Data Augmentation in Surface Defect Detection. - Haobin Chen, Junyu Tao, Bize Zhou, Xiaoyan Liu:
Research on an Autonomous UAV Search and Rescue System Based on the Improved. - Jun Young Koh, Sang Hyun Park, Joy Song:
Improving Text Generation on Images with Synthetic Captions. - Shichao Sun, Ruifeng Yuan, Ziqiang Cao, Wenjie Li, Pengfei Liu:
Prompt Chaining or Stepwise Prompt? Refinement in Text Summarization. - Yixuan Zhu, Wenliang Zhao, Ao Li, Yansong Tang, Jie Zhou, Jiwen Lu:
FlowIE: Efficient Image Enhancement via Rectified Flow. - Jordan K. Matelsky, Lyle H. Ungar, Konrad P. Kording:
Empirical influence functions to understand the logic of fine-tuning. - Jiaming Li, Jiacheng Zhang, Jichang Li, Ge Li, Si Liu, Liang Lin, Guanbin Li:
Learning Background Prompts to Discover Implicit Knowledge for Open Vocabulary Object Detection. - Marcos Faúndez-Zanuy, Moisés Díaz:
On the use of first and second derivative approximations for biometric online signature recognition. - Juyong Jiang, Fan Wang, Jiasi Shen, Sungju Kim, Sunghun Kim:
A Survey on Large Language Models for Code Generation. - Jiawei Cao, Chongtao Guo, Hao Li, Zhigang Wang, Houjun Wang, Geoffrey Ye Li:
Deep Learning based Performance Testing for Analog Integrated Circuits. - Andrej Orsula:
Learning to Play Air Hockey with Model-Based Deep Reinforcement Learning. - Lingjing Kong, Guangyi Chen, Biwei Huang, Eric P. Xing, Yuejie Chi, Kun Zhang:
Learning Discrete Concepts in Latent Hierarchical Models. - Kailun Yan, Xiaokuan Zhang, Wenrui Diao:
Stealing Trust: Unveiling Vulnerabilities in Web3 Authentication. - Vamsi Sai Ranga Sri Harsha Mangina:
Adaptive boosting with dynamic weight adjustment. - Mohannad Z. Naser, Ahmad Z. Naser:
The Firefighter Algorithm: A Hybrid Metaheuristic for Optimization Problems. - Vivek Sivaraman Narayanaswamy, Kowshik Thopalli, Rushil Anirudh, Yamen Mubarka, Wesam Sakla, Jayaraman J. Thiagarajan:
On the Use of Anchoring for Training Vision Models. - Samita Bai, Sidra Nasir, Rizwan Ahmed Khan, Sheeraz Arif, Alexandre Meyer, Hubert Konik:
Breast Cancer Diagnosis: A Comprehensive Exploration of Explainable Artificial Intelligence (XAI) Techniques. - Mouad El Bouchattaoui, Myriam Tami, Benoit Lepetit, Paul-Henry Cournède:
Causal Contrastive Learning for Counterfactual Regression Over Time. - Lucas Valadares Vieira, Mara Abel, Fabrício Henrique Rodrigues, Tiago Prince Sales, Claudenir M. Fonseca:
Towards an ontology of portions of matter to support multi-scale analysis and provenance tracking. - Wei Jiang, Hans D. Schotten:
Cost-Effectiveness Analysis and Design of Cost-Efficient Cell-Free Massive MIMO Systems. - Linhui Huang, Sayeri Lala, Niraj K. Jha:
CONFINE: Conformal Prediction for Interpretable Neural Networks. - Siyi Wang, Yulong Gao, Sandra Hirche:
Optimal Transmission Power Scheduling for Networked Control System under DoS Attack. - Akshay Karkal Kamath, Bharath Kumar, Sunil Aggarwal, Subramanian Parameswaran, Parag Lonkar, Debi Prasanna, Somasunder Sreenath:
An Automated Validation Framework for Power Management and Data Retention Logic Kits of Standard Cell Library. - Mohamed Bouadi, Arta Alavi, Salima Benbernou, Mourad Ouziri:
Leveraging Knowlegde Graphs for Interpretable Feature Generation. - Xinyue Chen, Miaojing Shi:
Memory-guided Network with Uncertainty-based Feature Augmentation for Few-shot Semantic Segmentation. - Tianci Liu, Haoyu Wang, Shiyang Wang, Yu Cheng, Jing Gao:
LIDAO: Towards Limited Interventions for Debiasing (Large) Language Models. - Anindita Sarkar Mondal, Madhupa Sanyal, Ari Kusumastuti, Hrishav Bakul Barua, Kartick Chandra Mondal:
Demystifying Object-based Big Data Storage Systems. - Thomas Kleine Buening, Aadirupa Saha, Christos Dimitrakakis, Haifeng Xu:
Strategic Linear Contextual Bandits. - Saurabh Bajaj, Hui Guan, Marco Serafini:
Graph Neural Network Training Systems: A Performance Comparison of Full-Graph and Mini-Batch. - Phoebe J. Wang, Max Kreminski:
Guiding and Diversifying LLM-Based Story Generation via Answer Set Programming. - Bamelak Tadele, Faouzi Bellili, Amine Mezghani, Md Jawwad Chowdhury, Haseeb Ur Rehman:
Lens-Type Redirective Intelligent Surfaces for Multi-User MIMO Communication. - Guglielmo Padula, Michele Girfoglio, Gianluigi Rozza:
A brief review of Reduced Order Models using intrusive and non-intrusive techniques. - Mariana Coutinho, Lorena Marques, Anderson Santos, Márcio Dahia, César França, Ronnie de Souza Santos:
The Role of Generative AI in Software Development Productivity: A Pilot Case Study. - Ella Tamir, Arno Solin:
Learning to Approximate Particle Smoothing Trajectories via Diffusion Generative Models. - Heidi C. Zhang, Sina J. Semnani, Farhad Ghassemi, Jialiang Xu, Shicheng Liu, Monica S. Lam:
SPAGHETTI: Open-Domain Question Answering from Heterogeneous Data Sources with Retrieval and Semantic Parsing. - Milad Johnny, Shahrokh Valaee:
Reflection Map Construction: Enhancing and Speeding Up Indoor Localization. - Berken Utku Demirel, Christian Holz:
An Unsupervised Approach for Periodic Source Detection in Time Series. - Siamak Biglari, Ruixiao Huang, Hui Zhao, Saraju P. Mohanty:
Designing Reconfigurable Interconnection Network of Heterogeneous Chiplets Using Kalman Filter. - Nurbek Tastan, Samar Fares, Toluwani Aremu, Samuel Horváth, Karthik Nandakumar:
Redefining Contributions: Shapley-Driven Federated Learning. - Daniel Waxman, Petar M. Djuric:
A Gaussian Process-based Streaming Algorithm for Prediction of Time Series With Regimes and Outliers. - Elisha Dayag, Kevin Bui, Fredrick Park, Jack Xin:
An Image Segmentation Model with Transformed Total Variation. - Mohit Prabhushankar, Ghassan AlRegib:
VOICE: Variance of Induced Contrastive Explanations to quantify Uncertainty in Neural Network Interpretability. - Denis A. Gudovskiy, Tomoyuki Okuno, Yohei Nakata:
ContextFlow++: Generalist-Specialist Flow-based Generative Models with Mixed-Variable Context Encoding. - Yanlin Feng, Sajjadur Rahman, Aaron Feng, Vincent Chen, Eser Kandogan:
CMDBench: A Benchmark for Coarse-to-fine Multimodal Data Discovery in Compound AI Systems. - Eser Kandogan, Sajjadur Rahman, Nikita Bhutani, Dan Zhang, Rafael Li Chen, Kushan Mitra, Sairam Gurajada, Pouya Pezeshkpour, Hayate Iso, Yanlin Feng, Hannah Kim, Chen Shen, Jin Wang, Estevam Hruschka:
A Blueprint Architecture of Compound AI Systems for Enterprise. - Han Zhang, Zifan Wang, Mihir Dhamankar, Matt Fredrikson, Yuvraj Agarwal:
VeriSplit: Secure and Practical Offloading of Machine Learning Inferences across IoT Devices. - Biao Wu, Diankai Zhang, Si Gao, Chengjian Zheng, Shaoli Liu, Ning Wang:
Semi-supervised Video Semantic Segmentation Using Unreliable Pseudo Labels for PVUW2024. - Lijia Yu, Shuang Liu, Yibo Miao, Xiao-Shan Gao, Lijun Zhang:
Generalization Bound and New Algorithm for Clean-Label Backdoor Attack. - Zhuang Qi, Junlin Zhang, Xin Qi:
Robust Visual Tracking via Iterative Gradient Descent and Threshold Selection. - Basileal Imana, Aleksandra Korolova, John S. Heidemann:
Auditing for Racial Discrimination in the Delivery of Education Ads. - Dimitri P. Bertsekas:
Model Predictive Control and Reinforcement Learning: A Unified Framework Based on Dynamic Programming. - Jimmy Xuekai Li, Tiancheng Zhang, Yiran Zhu, Zhongwei Chen:
Artificial General Intelligence (AGI) for the oil and gas industry: a review. - Akira Sakurai, Kazuyuki Shudo:
Model-based Analysis of Mining Fairness in a Blockchain. - Xiaoqiao Chen:
Multi-variable Adversarial Time-Series Forecast Model. - Massiagbe Diabate, Timothy Vriend, Harish S. Krishnamoorthy, Jian Shi:
Hydrogen and Battery Based Energy Storage System (ESS) for Future DC Microgrids. - Austin Peng:
Efficient Neural Light Fields (ENeLF) for Mobile Devices. - Sharmila Duppala, Juan Luque, John Dickerson, Seyed A. Esmaeili:
Robust Fair Clustering with Group Membership Uncertainty Sets. - Minjong Cheon:
Kolmogorov-Arnold Network for Satellite Image Classification in Remote Sensing. - Weipeng Jiang, Xuanqi Gao, Juan Zhai, Shiqing Ma, Xiaoyu Zhang, Chao Shen:
From Effectiveness to Efficiency: Comparative Evaluation of Code Generated by LCGMs for Bilingual Programming Questions. - Liang Zhao, Tianwen Wei, Liang Zeng, Cheng Cheng, Liu Yang, Peng Cheng, Lijie Wang, Chenxia Li, Xuejie Wu, Bo Zhu, Yimeng Gan, Rui Hu, Shuicheng Yan, Han Fang, Yahui Zhou:
LongSkywork: A Training Recipe for Efficiently Extending Context Length in Large Language Models. - Ke Ji, Junying Chen, Anningzhe Gao, Wenya Xie, Xiang Wan, Benyou Wang:
LLMs Could Autonomously Learn Without External Supervision. - Yuan Shen, Duygu Ceylan, Paul Guerrero, Zexiang Xu, Niloy J. Mitra, Shenlong Wang, Anna Frühstück:
SuperGaussian: Repurposing Video Models for 3D Super Resolution. - Yinjun Wu, Mayank Keoliya, Kan Chen, Neelay Velingker, Ziyang Li, Emily J. Getzen, Qi Long, Mayur Naik, Ravi B. Parikh, Eric Wong:
DISCRET: Synthesizing Faithful Explanations For Treatment Effect Estimation. - Yunhyeok Kwak, Inwoo Hwang, Dooyoung Kim, Sanghack Lee, Byoung-Tak Zhang:
Efficient Monte Carlo Tree Search via On-the-Fly State-Conditioned Action Abstraction. - Yukun Jiang, Leo Guo, Xinyi Chen, Jing Xi Liu:
Making Recommender Systems More Knowledgeable: A Framework to Incorporate Side Information. - Jian Geng, Hongzhi Wang, Yu Yan:
EMIT: Micro-Invasive Database Configuration Tuning. - Shuohao Gao, Kaiqiang Yu, Shengxin Liu, Cheng Long:
Maximum k-Plex Search: An Alternated Reduction-and-Bound Method. - Jewel Rana Palit, Osama A Osman:
A Multi-Graph Convolutional Neural Network Model for Short-Term Prediction of Turning Movements at Signalized Intersections. - Yepeng Ding, Hiroyuki Sato:
Model-Driven Security Analysis of Self-Sovereign Identity Systems. - Mohammadreza Doostmohammadian, Muhammad I. Qureshi, Mohammad Hossein Khalesi, Hamid R. Rabiee, Usman A. Khan:
Log-Scale Quantization in Distributed First-Order Methods: Gradient-based Learning from Distributed Data. - Xingrui Wang, Wufei Ma, Angtian Wang, Shuo Chen, Adam Kortylewski, Alan L. Yuille:
Compositional 4D Dynamic Scenes Understanding with Physics Priors for Video Question Answering. - Yun Peng, Xiao Lin, Nachuan Ma, Jiayuan Du, Chuangwei Liu, Chengju Liu, Qijun Chen:
SAM-LAD: Segment Anything Model Meets Zero-Shot Logic Anomaly Detection. - Zhouyao Xie, Nikhil Yadala, Xinyi Chen, Jing Xi Liu:
Intelligent Text-Conditioned Music Generation. - Xun Liu, Zhengwei Ni:
Prompt Framework for Role-playing: Generation and Evaluation. - Garrett Crumrine, Izzat Alsmadi, Jesus Guerrero, Yuvaraj Munian:
Transforming Computer Security and Public Trust Through the Exploration of Fine-Tuning Large Language Models. - Cong Wang, Jinshan Pan, Wei Wang, Gang Fu, Siyuan Liang, Mengzhu Wang, Xiao-Ming Wu, Jun Liu:
Correlation Matching Transformation Transformers for UHD Image Restoration. - Jiaying Zhou, Mingzhou Jiang, Junde Wu, Jiayuan Zhu, Ziyue Wang, Yueming Jin:
MGI: Multimodal Contrastive pre-training of Genomic and Medical Imaging. - Yukai Shi, Yupei Lin, Pengxu Wei, Xiaoyu Xian, Tianshui Chen, Liang Lin:
Diff-Mosaic: Augmenting Realistic Representations in Infrared Small Target Detection via Diffusion Prior. - Dinghuai Zhang, Yizhe Zhang, Jiatao Gu, Ruixiang Zhang, Josh M. Susskind, Navdeep Jaitly, Shuangfei Zhai:
Improving GFlowNets for Text-to-Image Diffusion Alignment. - Taeryung Lee, Fabien Baradel, Thomas Lucas, Kyoung Mu Lee, Grégory Rogez:
T2LM: Long-Term 3D Human Motion Generation from Multiple Sentences. - Chunjin Song, Zhijie Wu, Bastian Wandt, Leonid Sigal, Helge Rhodin:
Representing Animatable Avatar via Factorized Neural Fields. - Kush Juvekar, Anupam Purwar:
COS-Mix: Cosine Similarity and Distance Fusion for Improved Information Retrieval. - Haojun Xu, Yan Gao, Jie Li, Xinbo Gao:
An Information Compensation Framework for Zero-Shot Skeleton-based Action Recognition. - Jun Li, Tongkun Su, Baoliang Zhao, Faqin Lv, Qiong Wang, Nassir Navab, Ying Hu, Zhongliang Jiang:
Ultrasound Report Generation with Cross-Modality Feature Alignment via Unsupervised Guidance. - Yuwei Fu, Haichao Zhang, Di Wu, Wei Xu, Benoit Boulet:
FuRL: Visual-Language Models as Fuzzy Rewards for Reinforcement Learning. - Chen Chen, Yuchen Hu, Wen Wu, Helin Wang, Eng Siong Chng, Chao Zhang:
Enhancing Zero-shot Text-to-Speech Synthesis with Human Feedback. - Andrzej Cichocki, Sergio Cruces, Auxiliadora Sarmiento, Toshihisa Tanaka:
Generalized Exponentiated Gradient Algorithms and Their Application to On-Line Portfolio Selection. - Xianghe Ma, Dominik Schlechtweg, Wei Zhao:
Presence or Absence: Are Unknown Word Usages in Dictionaries? - Jiayun Wu, Jiashuo Liu, Peng Cui, Zhiwei Steven Wu:
Bridging Multicalibration and Out-of-distribution Generalization Beyond Covariate Shift. - Bin Pi, Minyu Feng, Liang-Jian Deng:
A memory-based spatial evolutionary game with the dynamic interaction between learners and profiteers. - Benjamin Towle, Xin Chen, Ke Zhou:
SimSAM: Zero-shot Medical Image Segmentation via Simulated Interaction. - Sunwoo Kim, Joungho Park, Jay H. Lee:
Multi-technology co-optimization approach for sustainable hydrogen and electricity supply chains considering variability and demand scale. - Yunheng Li, Zhong-Yu Li, Quansheng Zeng, Qibin Hou, Ming-Ming Cheng:
Cascade-CLIP: Cascaded Vision-Language Embeddings Alignment for Zero-Shot Semantic Segmentation. - Xin Dong, Yangjie Cui, Jingwu Xiang, Daochun Li, Zhan Tu:
An Efficient Trajectory Generation for Bi-copter Flight in Tight Space. - Xuenian Wang, Shanshan Shi, Renao Yan, Qiehe Sun, Lianghui Zhu, Tian Guan, Yonghong He:
Task-oriented Embedding Counts: Heuristic Clustering-driven Feature Fine-tuning for Whole Slide Image Classification. - Hao Liu, Yang Yang, Yunxia Liu:
W-Net: A Facial Feature-Guided Face Super-Resolution Network. - Zechu Li, Rickmer Krohn, Tao Chen, Anurag Ajay, Pulkit Agrawal, Georgia Chalvatzaki:
Learning Multimodal Behaviors from Scratch with Diffusion Policy Gradient. - Christiane Rakotomalala, Jean-Marie Paillat, Frédéric Feder, Angel Avadí, Laurent Thuriès, Marie-Liesse Vermeire, Jean-Michel Médoc, Tom Wassenaar, Caroline Hottelart, Lilou Kieffer, Elisa Ndjie, Mathieu Picart, Jorel Tchamgoue, Alvin Tulle, Laurine Valade, Annie Boyer, Marie-Christine Duchamp, Mathieu Roche:
A lexicon obtained and validated by a data-driven approach for organic residues valorization in emerging and developing countries. - Haisu Guan, Huanxin Yang, Xinyu Wang, Shengwei Han, Yongge Liu, Lianwen Jin, Xiang Bai, Yuliang Liu:
Deciphering Oracle Bone Language with Diffusion Models. - Jiacheng Zhang, Feng Liu, Dawei Zhou, Jingfeng Zhang, Tongliang Liu:
Improving Accuracy-robustness Trade-off via Pixel Reweighted Adversarial Training. - Ohad Rahamim, Hilit Segev, Idan Achituve, Yuval Atzmon, Yoni Kasten, Gal Chechik:
Lay-A-Scene: Personalized 3D Object Arrangement Using Text-to-Image Priors. - Juha Honkala:
Linear equations and recursively enumerable sets. - Yizhuo Wang, Shuowen Zhang:
Hybrid Beamforming Design for Integrated Sensing and Communication Exploiting Prior Information. - Belal Ahmad, Mohd Usama, Tanvir Ahmad, Adnan Saeed, Shabnam Khatoon, Long Hu:
Bilinear-Convolutional Neural Network Using a Matrix Similarity-based Joint Loss Function for Skin Disease Classification. - Tomoki Doi, Masaru Isonuma, Hitomi Yanaka:
Comprehensive Evaluation of Large Language Models for Topic Modeling. - Yuan Xiao, Shiqing Ma, Juan Zhai, Chunrong Fang, Jinyuan Jia, Zhenyu Chen:
Towards General Robustness Verification of MaxPool-based Convolutional Neural Networks via Tightening Linear Approximation. - Amir Masoud Rahmani, Amir Haider, Mohammad Adeli, Olfa Mzoughi, Entesar Gemeay, Mokhtar Mohammadi, Hamid Alinejad-Rokny, Parisa Khoshvaght, Mehdi Hosseinzadeh:
Enhanced Heart Sound Classification Using Mel Frequency Cepstral Coefficients and Comparative Analysis of Single vs. Ensemble Classifier Strategies. - Ylva Grønningsæter, Halvor S. Smørvik, Ole-Christoffer Granmo:
An Optimized Toolbox for Advanced Image Processing with Tsetlin Machine Composites. - Pengyu Wang, Jiawei Tang, Hin Wang Lin, Fan Zhang, Chaoqun Wang, Jiankun Wang, Ling Shi, Max Q.-H. Meng:
MINER-RRT*: A Hierarchical and Fast Trajectory Planning Framework in 3D Cluttered Environments. - Pengyu Wang, Zhaohua Yang, Nachuan Yang, Zikai Wang, Jialu Li, Fan Zhang, Chaoqun Wang, Jiankun Wang, Max Q.-H. Meng, Ling Shi:
QUADFormer: Learning-based Detection of Cyber Attacks in Quadrotor UAVs. - Di Wu, Feng Yang, Benlian Xu, Pan Liao, Bo Liu:
A Survey of Deep Learning Based Radar and Vision Fusion for 3D Object Detection in Autonomous Driving. - Yuqing Zhu, Yiwen Zhu, Aoyu Gong, Yan Lin, Yuan-Hsuan Lo, Yijin Zhang:
Age-Gain-Dependent Random Access for Event-Driven Periodic Updating. - Cong Wang, Wei Wang, Chengjin Yu, Jie Mu:
Explore Internal and External Similarity for Single Image Deraining with Graph Neural Networks. - Hao Wu:
Throughput and Link Utilization Improvement in Satellite Networks: A Learning-Enabled Approach. - Gayathri Manikutty, Sai Ankith Potapragada, Devasena Pasupuleti, Mahesh S. Unnithan, Arjun Venugopal, Pranav Prabha, Arunav H, Vyshnavi Anil Kumar, Rthuraj P. R, Rao R. Bhavani:
Exploring Child-Robot Interaction in Individual and Group settings in India. - Xiaocong Chen, Siyu Wang, Lina Yao:
Maximum-Entropy Regularized Decision Transformer with Reward Relabelling for Dynamic Recommendation. - Satoshi Yagi, Mitsunori Tada, Eiji Uchibe, Suguru Kanoga, Takamitsu Matsubara, Jun Morimoto:
Unsupervised Neural Motion Retargeting for Humanoid Teleoperation. - Kabirat Bolanle Olayemi, Mien Van, Luke Maguire, Seán F. McLoone:
A Digital Twin Framework for Reinforcement Learning with Real-Time Self-Improvement via Human Assistive Teleoperation. - Fan Xu, Nan Wang, Hao Wu, Xuezhi Wen, Dalin Zhang, Siyang Lu, Binyong Li, Wei Gong, Hai Wan, Xibin Zhao:
GLADformer: A Mixed Perspective for Graph-level Anomaly Detection. - Alan Edelman, John Urschel, Bowen Zhu:
On a perturbation analysis of Higham squared maximum Gaussian elimination growth matrices. - Naveen Raman, Zheyuan Ryan Shi, Fei Fang:
Global Rewards in Restless Multi-Armed Bandits. - Giovanni Paolini, Lorenzo Moreschini, Francesco Veneziano, Alessandro Iraci:
Learning to Play 7 Wonders Duel Without Human Supervision. - Neri Merhav, Nir Weinberger:
A Toolbox for Refined Information-Theoretic Analyses with Applications. - Anomitra Sarkar, Lavanya Vajpayee:
Augmenting the FedProx Algorithm by Minimizing Convergence. - Pranav Singh Chib, Pravendra Singh:
CCF: Cross Correcting Framework for Pedestrian Trajectory Prediction. - Wenqiang Sun, Zhengyi Wang, Shuo Chen, Yikai Wang, Zilong Chen, Jun Zhu, Jun Zhang:
Freeplane: Unlocking Free Lunch in Triplane-Based Sparse-View Reconstruction Models. - Zhu Liu:
How well do distributed representations convey contextual lexical semantics: a Thesis Proposal. - Jun Li, Weiwei Zhang, Kang Wei, Guangji Chen, Feng Shu, Wen Chen, Shi Jin:
Blockchain-aided wireless federated learning: Resource allocation and client scheduling. - Gabriella Fernandes, Hélder Fontes, Rui Campos:
Semantic Communications: the New Paradigm Behind Beyond 5G Technologies. - Xiaoyuan Li, Wenjie Wang, Moxin Li, Junrong Guo, Yang Zhang, Fuli Feng:
Evaluating Mathematical Reasoning of Large Language Models: A Focus on Error Identification and Correction. - Po-Shao Lin, Jia-Fong Yeh, Yi-Ting Chen, Winston H. Hsu:
Shared-unique Features and Task-aware Prioritized Sampling on Multi-task Reinforcement Learning. - Haoran Yang, Xiaobing Pei, Kai Yuan:
IENE: Identifying and Extrapolating the Node Environment for Out-of-Distribution Generalization on Graphs. - Wakana Haijima, Kou Nakakubo, Masahiro Suzuki, Yutaka Matsuo:
The Embodied World Model Based on LLM with Visual Information and Prediction-Oriented Prompts. - Anji Liu, Kareem Ahmed, Guy Van den Broeck:
Scaling Tractable Probabilistic Circuits: A Systems Perspective. - Weihao Zeng, Can Xu, Yingxiu Zhao, Jian-Guang Lou, Weizhu Chen:
Automatic Instruction Evolving for Large Language Models. - Cristiano Patrício, Carlo Alberto Barbano, Attilio Fiandrotti, Riccardo Renzulli, Marco Grangetto, Luís F. Teixeira, João C. Neves:
Unsupervised Contrastive Analysis for Salient Pattern Detection using Conditional Diffusion Models. - Jincheng Zhong, Xingzhuo Guo, Jiaxiang Dong, Mingsheng Long:
Diffusion Tuning: Transferring Diffusion Models via Chain of Forgetting. - Thibault Simonetto, Salah Ghamizi, Maxime Cordy:
Constrained Adaptive Attack: Effective Adversarial Attack Against Deep Neural Networks for Tabular Data. - Yuxiang Ji, Boyong He, Chenyuan Qu, Zhuoyue Tan, Chuan Qin, Liaoni Wu:
Diffusion Features to Bridge Domain Gap for Semantic Segmentation. - Peng Li, Lixia Wu, Chaoqun Feng, Haoyuan Hu, Lei Fu, Jieping Ye:
Differentiation of Multi-objective Data-driven Decision Pipeline. - Xuan Lin:
Accelerate Hybrid Model Predictive Control using Generalized Benders Decomposition. - Li Lin, Santosh, Xin Wang, Shu Hu:
AI-Face: A Million-Scale Demographically Annotated AI-Generated Face Dataset and Fairness Benchmark. - Bar Iluz, Yanai Elazar, Asaf Yehudai, Gabriel Stanovsky:
Applying Intrinsic Debiasing on Downstream Tasks: Challenges and Considerations for Machine Translation. - Md Taimur Ahad:
Developing an efficient corpus using Ensemble Data cleaning approach. - Lei Liu, Zhihao Hu, Zhenghao Chen:
Towards Point Cloud Compression for Machine Perception: A Simple and Strong Baseline by Learning the Octree Depth Level Predictor. - Yeonsung Jung, Heecheol Yun, Joonhyung Park, Jin-Hwa Kim, Eunho Yang:
PruNeRF: Segment-Centric Dataset Pruning via 3D Spatial Consistency. - Sahar Abdelnabi, Aideen Fay, Giovanni Cherubin, Ahmed Salem, Mario Fritz, Andrew Paverd:
Are you still on track!? Catching LLM Task Drift with Activations. - Aozhong Zhang, Naigang Wang, Yanxia Deng, Xin Li, Zi Yang, Penghang Yin:
MagR: Weight Magnitude Reduction for Enhancing Post-Training Quantization. - (Withdrawn) Ensemble Deep Random Vector Functional Link Neural Network Based on Fuzzy Inference System.
- Milosz Stypinski, Marcin Niemiec:
Weight Equalization Algorithm for Tree Parity Machines. - Haiyang Shi:
Extrapolability Improvement of Machine Learning-Based Evapotranspiration Models via Domain-Adversarial Neural Networks. - Chentao Cao, Zhun Zhong, Zhanke Zhou, Yang Liu, Tongliang Liu, Bo Han:
Envisioning Outlier Exposure by Large Language Models for Out-of-Distribution Detection. - Hadrien Reynaud, Qingjie Meng, Mischa Dombrowski, Arijit Ghosh, Thomas G. Day, Alberto Gómez, Paul Leeson, Bernhard Kainz:
EchoNet-Synthetic: Privacy-preserving Video Generation for Safe Medical Data Sharing. - Jie Chen:
Graph Neural Preconditioners for Iterative Solutions of Sparse Linear Systems. - Hwejae Lee, Hyosun Lee, Saehee Jun, Huy Kang Kim:
Expanding the Attack Scenarios of SAE J1939: A Comprehensive Analysis of Established and Novel Vulnerabilities in Transport Protocol. - Andrei Shelopugin:
Expected Possession Value of Control and Duel Actions for Soccer Player's Skills Estimation. - Sen Li, Junchi Ma, Minhao Cheng:
Invisible Backdoor Attacks on Diffusion Models. - Billy Jin, Thomas Kesselheim, Will Ma, Sahil Singla:
Sample Complexity of Posted Pricing for a Single Item. - Dániel Szekeres, Kristóf Marussy, István Majzik:
A Lazy Abstraction Algorithm for Markov Decision Processes: Theory and Initial Evaluation. - Thom S. Badings, Wietze Koops, Sebastian Junges, Nils Jansen:
Learning-Based Verification of Stochastic Dynamical Systems with Neural Network Policies. - Nurit Spingarn-Eliezer, Tomer Michaeli:
Stealing Image-to-Image Translation Models With a Single Query. - Yang Cao, Yihan Zeng, Hang Xu, Dan Xu:
Collaborative Novel Object Discovery and Box-Guided Cross-Modal Alignment for Open-Vocabulary 3D Object Detection. - Lin Gui, Cristina Gârbacea, Victor Veitch:
BoNBoN Alignment for Large Language Models and the Sweetness of Best-of-n Sampling. - Shikoh Hirabayashi, Rishab Jain, Nikola Jurkovic, Gabriel Wu:
Harvard Undergraduate Survey on Generative AI. - Xinge Yang, Matheus Souza, Kunyi Wang, Praneeth Chakravarthula, Qiang Fu, Wolfgang Heidrich:
End-to-End Hybrid Refractive-Diffractive Lens Design with Differentiable Ray-Wave Model. - Linh Kästner, Volodymyir Shcherbyna, Huajian Zeng, Tuan Anh Le, Maximilian Ho-Kyoung Schreff, Halid Osmaev, Nam Truong Tran, Diego Diaz, Jan Golebiowski, Harold Soh, Jens Lambrecht:
Arena 3.0: Advancing Social Navigation in Collaborative and Highly Dynamic Environments. - Kaixin Lan, Tao Fang, Derek F. Wong, Yabo Xu, Lidia S. Chao, Cecilia G. Zhao:
FOCUS: Forging Originality through Contrastive Use in Self-Plagiarism for Language Models. - Laura Stegner, Yuna Hwang, David Porfirio, Bilge Mutlu:
Understanding On-the-Fly End-User Robot Programming. - Ori Ernst, Ori Shapira, Aviv Slobodkin, Sharon Adar, Mohit Bansal, Jacob Goldberger, Ran Levy, Ido Dagan:
The Power of Summary-Source Alignments. - Saveliy Chezhegov, Sergey Skorik, Nikolas Khachaturov, Danil Shalagin, Aram Avetisyan, Aleksandr Beznosikov, Martin Takác, Yaroslav Kholodov, Alexander V. Gasnikov:
Local Methods with Adaptivity via Scaling. - Abdelilah Nossair, Hamza El Housni:
Eating Smart: Advancing Health Informatics with the Grounding DINO based Dietary Assistant App. - Ratip Emin Berker, Vincent Conitzer:
Computing Optimal Equilibria in Repeated Games with Restarts. - Niraj Kumar Singh, Gustavo Polleti, Saee Paliwal, Rachel Hodos-Nkhereanye:
LinkLogic: A New Method and Benchmark for Explainable Knowledge Graph Predictions. - Yewon Lim, Changyeon Lee, Aerin Kim, Oren Etzioni:
DistilDIRE: A Small, Fast, Cheap and Lightweight Diffusion Synthesized Deepfake Detection. - Kaniz Mishty, Mehdi Sadi:
Chiplet-Gym: Optimizing Chiplet-based AI Accelerator Design with Reinforcement Learning. - Robin Forsling, Simon J. Julier, Gustaf Hendeby:
Matrix-Valued Measures and Wishart Statistics for Target Tracking Applications. - Anna Dalklint, Joe Alexandersen, Andreas Henrik Frederiksen, Konstantinos Poulios, Ole Sigmund:
Topology optimization of contact-aided thermo-mechanical regulators. - Parastoo Falakaflaki, Mehrnoush Shamsfard:
Formality Style Transfer in Persian. - Jiaqi Liang, Defeng Liu, Sanjay Dominik Jena, Andrea Lodi, Thibaut Vidal:
Dual Policy Reinforcement Learning for Real-time Rebalancing in Bike-sharing Systems. - Sarthak Arora, Karthik Subramanian, Odysseus Alexander Adamides, Ferat Sahin:
Using 3-D LiDAR Data for Safe Physical Human-Robot Interaction. - Hadi Hosseini, Debmalya Mandal, Amrit Puhan:
The Surprising Effectiveness of SP Voting with Partial Preferences. - Timothy Ossowski, Junjie Hu:
OLIVE: Object Level In-Context Visual Embeddings. - Erik Jenner, Shreyas Kapur, Vasil Georgiev, Cameron Allen, Scott Emmons, Stuart Russell:
Evidence of Learned Look-Ahead in a Chess-Playing Neural Network. - Nail K. Yamaleev, Subhash Paudel:
A New Parallel-in-time Direct Inverse Method for Nonlinear Differential Equations. - Janine Lohse, Deepak Garg:
An Iris for Expected Cost Analysis. - Ivan Moskalenko, Anastasiia Kornilova, Gonzalo Ferrer:
Visual place recognition for aerial imagery: A survey. - Ali Mohamed Ali, Aryaman Gupta, Hashim A. Hashim:
Deep Reinforcement Learning for Sim-to-Real Policy Transfer of VTOL-UAVs Offshore Docking Operations. - Omar Shaikh, Michelle S. Lam, Joey Hejna, Yijia Shao, Michael S. Bernstein, Diyi Yang:
Show, Don't Tell: Aligning Language Models with Demonstrated Feedback. - Clement Etienam, Juntao Yang, Oleg Ovcharenko, Issam Said:
Reservoir History Matching of the Norne field with generative exotic priors and a coupled Mixture of Experts - Physics Informed Neural Operator Forward Model. - Xin-Yi Tong, Runmin Dong, Xiao Xiang Zhu:
Global High Categorical Resolution Land Cover Mapping via Weak Supervision. - Nicholas Roberts, Samuel Guo, Zhiqi Gao, Satya Sai Srinath Namburi, Sonia Cromp, Chengjun Wu, Chengyu Duan, Frederic Sala:
Pretrained Hybrids with MAD Skills. - Jonathan Álvarez Ariza:
Bringing active learning, experimentation, and student-created videos in engineering: A study about teaching electronics and physical computing integrating online and mobile learning. - Erfan Loweimi, Andrea Carmantini, Peter Bell, Steve Renals, Zoran Cvetkovic:
Phonetic Error Analysis of Raw Waveform Acoustic Models with Parametric and Non-Parametric CNNs. - Xinjian Li, Shinnosuke Takamichi, Takaaki Saeki, William Chen, Sayaka Shiota, Shinji Watanabe:
YODAS: Youtube-Oriented Dataset for Audio and Speech. - Mahsa Kadkhodaei Elyaderani, Shahram Shirani:
Robust Multi-Modal Speech In-Painting: A Sequence-to-Sequence Approach. - Yuning Zhou, Henry Badgery, Matthew Read, James Bailey, Catherine E. Davey:
DDA: Dimensionality Driven Augmentation Search for Contrastive Learning in Laparoscopic Surgery. - Shaoshu Yang, Yong Zhang, Xiaodong Cun, Ying Shan, Ran He:
ZeroSmooth: Training-free Diffuser Adaptation for High Frame Rate Video Generation. - Soroush Ebadian, Evi Micha:
Boosting Sortition via Proportional Representation. - Kunpeng Wang, Danying Lin, Chenglong Li, Zhengzheng Tu, Bin Luo:
Alignment-Free RGBT Salient Object Detection: Semantics-guided Asymmetric Correlation Network and A Unified Benchmark. - Jordan Madden, Moxanki Bhavsar, Lhamo Dorje, Xiaohua Li:
Assessing the Adversarial Security of Perceptual Hashing Algorithms. - Jinxing Zhou, Dan Guo, Yiran Zhong, Meng Wang:
Advancing Weakly-Supervised Audio-Visual Video Parsing via Segment-wise Pseudo Labeling. - Ruichao Liang, Jing Chen, Cong Wu, Kun He, Yueming Wu, Weisong Sun, Ruiying Du, Qingchuan Zhao, Yang Liu:
Towards Effective Detection of Ponzi schemes on Ethereum with Contract Runtime Behavior Graph. - Shuyue Stella Li, Vidhisha Balachandran, Shangbin Feng, Jonathan Ilgen, Emma Pierson, Pang Wei Koh, Yulia Tsvetkov:
MEDIQ: Question-Asking LLMs for Adaptive and Reliable Clinical Reasoning. - Shivam Gupta, Linda Cai, Sitan Chen:
Faster Diffusion-based Sampling with Randomized Midpoints: Sequential and Parallel. - Takayuki Kanai, Igor Vasiljevic, Vitor Guizilini, Kazuhiro Shintani:
Self-Supervised Geometry-Guided Initialization for Robust Monocular Visual Odometry. - Tianyuan Zhang, Lu Wang, Hainan Li, Yisong Xiao, Siyuan Liang, Aishan Liu, Xianglong Liu, Dacheng Tao:
LanEvil: Benchmarking the Robustness of Lane Detection to Environmental Illusions. - Ji-Lun Peng, Sijia Cheng, Egil Diau, Yung-Yu Shih, Po-Heng Chen, Yen-Ting Lin, Yun-Nung Chen:
A Survey of Useful LLM Evaluation. - Alice Bizzarri, Chung-En Yu, Brian Jalaian, Fabrizio Riguzzi, Nathaniel D. Bastian:
A Synergistic Approach In Network Intrusion Detection By Neurosymbolic AI. - Xinchun Yu, Shuangqing Wei, Shao-Lun Huang, Xiao-Ping Zhang:
Bounds on f-Divergences between Distributions within Generalized Quasi-ε-Neighborhood. - Max Kreminski:
Cheap and Easy Open-Ended Text Input for Interactive Emergent Narrative. - Jintang Li, Ruofan Wu, Xinzhou Jin, Boqun Ma, Liang Chen, Zibin Zheng:
State Space Models on Temporal Graphs: A First-Principles Study. - Shicheng Xu, Liang Pang, Huawei Shen, Xueqi Cheng:
Unveil the Duality of Retrieval-Augmented Generation: Theoretical Analysis and Practical Solution. - Fei Gao, Siwen Wang, Churan Wang, Fandong Zhang, Hong-Yu Zhou, Yizhou Wang, Gang Yu, Yizhou Yu:
Cross-Dimensional Medical Self-Supervised Representation Learning Based on a Pseudo-3D Transformation. - Ergon Cugler de Moraes Silva, José Carlos Vaz:
How disinformation and fake news impact public policies?: A review of international literature. - Po Yin Fung, Sean Y. Hon:
Block ω-circulant preconditioners for parabolic optimal control problems. - Shiqi Liu, Sannyuya Liu, Lele Sha, Zijie Zeng, Dragan Gasevic, Zhi Liu:
Annotation Guidelines-Based Knowledge Augmentation: Towards Enhancing Large Language Models for Educational Text Classification. - Sumit Sarin, Utkarsh Mall, Purva Tendulkar, Carl Vondrick:
How Video Meetings Change Your Expression. - Tianyu Huang, Tao Zhou, Weidi Xie, Shuo Wang, Qi Dou, Yizhe Zhang:
Improving Segment Anything on the Fly: Auxiliary Online Learning and Adaptive Fusion for Medical Image Segmentation. - Jueqing Lu, Lan Du, Wray L. Buntine, Myong Chol Jung, Joanna Dipnall, Belinda Gabbe:
Navigating Conflicting Views: Harnessing Trust for Learning. - Takara E. Truong, Michael Piseno, Zhaoming Xie, C. Karen Liu:
PDP: Physics-Based Character Animation via Diffusion Policy. - Xinglin Chen, Yishuai Cai, Yunxin Mao, Minglong Li, Zhou Yang, Shanghua Wen, Wenjing Yang, Weixia Xu, Ji Wang:
Efficient Behavior Tree Planning with Commonsense Pruning and Heuristic. - Ziyao Liu, Yu Jiang, Weifeng Jiang, Jiale Guo, Jun Zhao, Kwok-Yan Lam:
Guaranteeing Data Privacy in Federated Unlearning with Dynamic User Participation. - Vinay Gupta, Nihal Gunukula:
Evaluating MEDIRL: A Replication and Ablation Study of Maximum Entropy Deep Inverse Reinforcement Learning for Human Social Navigation. - Nikhil Mehta, Dan Goldwasser:
Using RL to Identify Divisive Perspectives Improves LLMs Abilities to Identify Communities on Social Media. - Vahid Azizi, Fatemeh Koochaki:
MiniGPT-Reverse-Designing: Predicting Image Adjustments Utilizing MiniGPT-4. - Hieu Trung Nguyen, Duy Nguyen, Khoa D. Doan, Viet Anh Nguyen:
Cold-start Recommendation by Personalized Embedding Region Elicitation. - Borui Zhang, Chaojie Li, Guo Chen, Zhaoyang Dong:
Large Language Model Assisted Optimal Bidding of BESS in FCAS Market: An AI-agent based Approach. - Masha Belyi, Robert Friel, Shuai Shao, Atindriyo Sanyal:
Luna: An Evaluation Foundation Model to Catch Language Model Hallucinations with High Accuracy and Low Cost. - Yongxin Zhu, Dan Su, Liqiang He, Linli Xu, Dong Yu:
Generative Pre-trained Speech Language Model with Efficient Hierarchical Transformer. - Kezhen Chen, Rahul Thapa, Rahul Chalamala, Ben Athiwaratkun, Shuaiwen Leon Song, James Zou:
Dragonfly: Multi-Resolution Zoom Supercharges Large Visual-Language Model. - Shunsuke Yoshimoto, Koji Sakamoto, Rina Takeda, Akio Yamamoto:
Design of a High-Performance Tomographic Tactile Sensor by Manipulating the Detector Conductivity. - Julian Martin Eisenschlos, Hernán Maina, Guido Ivetta, Luciana Benotti:
Selectively Answering Visual Questions. - Ashutosh Jindal, Florentina Nicolau, David Martín de Diego, Ravi N. Banavar:
Constructing Dynamic Feedback Linearizable Discretizations. - Junyu Lu, Bo Xu, Xiaokun Zhang, Kaiyuan Liu, Dongyu Zhang, Liang Yang, Hongfei Lin:
Take its Essence, Discard its Dross! Debiasing for Toxic Language Detection via Counterfactual Causal Effect. - Hiroaki Yamagiwa, Ryoma Hashimoto, Kiwamu Arakane, Ken Murakami, Shou Soeda, Momose Oyama, Mariko Okada, Hidetoshi Shimodaira:
Predicting Drug-Gene Relations via Analogy Tasks with Word Embeddings. - Mingzhen Huang, Jialing Cai, Shan Jia, Vishnu Suresh Lokhande, Siwei Lyu:
MultiEdits: Simultaneous Multi-Aspect Editing with Text-to-Image Diffusion Models. - Wenjing Chang, Kay Liu, Philip S. Yu, Jianjun Yu:
Enhancing Fairness in Unsupervised Graph Anomaly Detection through Disentanglement. - Dengke Han, Meng Wu, Runzhen Xue, Mingyu Yan, Xiaochun Ye, Dongrui Fan:
ADE-HGNN: Accelerating HGNNs through Attention Disparity Exploitation. - Anjian Li, Zihan Ding, Adji Bousso Dieng, Ryne Beeson:
Constraint-Aware Diffusion Models for Trajectory Optimization. - Anders Melander, Max E. Bitsch, Dong Chen, Allan P. Engsig-Karup:
A High-Order Hybrid-Spectral Incompressible Navier-Stokes Model For Nonlinear Water Waves. - Fengjie Li, Jiajun Jiang, Jiajun Sun, Hongyu Zhang:
Hybrid Automated Program Repair by Combining Large Language Models and Program Analysis. - Weijun Li, Qiongkai Xu, Mark Dras:
Seeing the Forest through the Trees: Data Leakage from Partial Transformer Gradients. - Lingen Li, Mingde Yao, Xingyu Meng, Muquan Yu, Tianfan Xue, Jinwei Gu:
Uni-ISP: Unifying the Learning of ISPs from Multiple Cameras. - Yangruibo Ding, Jinjun Peng, Marcus J. Min, Gail E. Kaiser, Junfeng Yang, Baishakhi Ray:
SemCoder: Training Code Language Models with Comprehensive Semantics. - Pascal Baumann, Eren Keskin, Roland Meyer, Georg Zetzsche:
Separability in Büchi Vass and Singly Non-Linear Systems of Inequalities. - Patrick Palmer, Martin Krüger, Richard Altendorfer, Torsten Bertram:
Multi-Object Tracking based on Imaging Radar 3D Object Detection. - Taewon Park, Inchul Choi, Minho Lee:
Attention-based Iterative Decomposition for Tensor Product Representation. - Ahmed M. Ahmed, Rafael Rafailov, Stepan Sharkov, Xuechen Li, Sanmi Koyejo:
Scalable Ensembling For Mitigating Reward Overoptimisation. - Junyang Wang, Haiyang Xu, Haitao Jia, Xi Zhang, Ming Yan, Weizhou Shen, Ji Zhang, Fei Huang, Jitao Sang:
Mobile-Agent-v2: Mobile Device Operation Assistant with Effective Navigation via Multi-Agent Collaboration. - Tianhao Liang, Huahao Ding, Yuqi Ping, Bin Cao, Tingting Zhang, Qinyu Zhang:
Sensing, Communication, and Control Co-design for Energy Efficient Satellite-UAV Networks. - Daekyu Kwon, Dongyoung Kim, Sehwan Ki, Younghyun Jo, Hyong-Euk Lee, Seon Joo Kim:
CLIP-Guided Attribute Aware Pretraining for Generalizable Image Quality Assessment. - Emily Öhman, Riikka Rossi:
Combining Qualitative and Computational Approaches for Literary Analysis of Finnish Novels. - Zongwei Wang, Junliang Yu, Min Gao, Wei Yuan, Guanhua Ye, Shazia Sadiq, Hongzhi Yin:
Poisoning Attacks and Defenses in Recommender Systems: A Survey. - Pourya Jafarzadeh, Padideh Choobdar, Vahid Mohammadi Safarzadeh:
Khayyam Offline Persian Handwriting Dataset. - Mengge Xue, Zhenyu Hu, Liqun Liu, Kuo Liao, Shuang Li, Honglin Han, Meng Zhao, Chengguo Yin:
Strengthened Symbol Binding Makes Large Language Models Reliable Multiple-Choice Selectors. - Tianjing Zeng, Junwei Lan, Jiahong Ma, Wenqing Wei, Rong Zhu, Pengfei Li, Bolin Ding, Defu Lian, Zhewei Wei, Jingren Zhou:
PRICE: A Pretrained Model for Cross-Database Cardinality Estimation. - Xuanqi Zhang, Haijin Zeng, Jinwang Pan, Qiangqiang Shen, Yongyong Chen:
LLEMamba: Low-Light Enhancement via Relighting-Guided Mamba with Deep Unfolding Network. - Trong-Thuan Nguyen, Pha A. Nguyen, Xin Li, Jackson David Cothren, Alper Yilmaz, Khoa Luu:
CYCLO: Cyclic Graph Transformer Approach to Multi-Object Relationship Modeling in Aerial Videos. - Suhua Zhou, Tianqi Li, Zhaoxi Fang, Jing Zhou, Wenyi Zhang:
Geometric constellation shaping for wireless optical intensity channels. - Junjie Xu, Zongyu Wu, Minhua Lin, Xiang Zhang, Suhang Wang:
LLM and GNN are Complementary: Distilling LLM for Multimodal Graph Learning. - Yung-Hui Lin, Yu-Wen Chang, Huang-Chia Shih, Takahiro Ogawa:
Generalized Jersey Number Recognition Using Multi-task Learning With Orientation-guided Weight Refinement. - Jinfeng Xu, Zheyu Chen, Jinze Li, Shuo Yang, Wei Wang, Xiping Hu, Edith C. H. Ngai:
FourierKAN-GCF: Fourier Kolmogorov-Arnold Network - An Effective and Efficient Feature Transformation for Graph Collaborative Filtering. - Bakytzhan Kurmanbek, Yogi A. Erlangga, Yerlan Amanbek:
Explicit inverse of symmetric, tridiagonal near Toeplitz matrices with strictly diagonally dominant Toeplitz part. - Shahar Zuler, Dan Raviv:
Synthetic Data Generation for 3D Myocardium Deformation Analysis. - Fang Li, Hao Zhang, Narendra Ahuja:
Self-Calibrating 4D Novel View Synthesis from Monocular Videos Using Gaussian Splatting. - Fatemeh Shiri, Van Nguyen, Farhad Moghimifar, John Yoo, Gholamreza Haffari, Yuan-Fang Li:
Decompose, Enrich, and Extract! Schema-aware Event Extraction using LLMs. - Hang Dong, Liwen Zhu, Zhao Shan, Bo Qiao, Fangkai Yang, Si Qin, Chuan Luo, Qingwei Lin, Yuwen Yang, Gurpreet Virdi, Saravan Rajmohan, Dongmei Zhang, Thomas Moscibroda:
An Advanced Reinforcement Learning Framework for Online Scheduling of Deferrable Workloads in Cloud Computing. - Sungho Lee, Marco A. Martínez Ramírez, Wei-Hsiang Liao, Stefan Uhlich, Giorgio Fabbro, Kyogu Lee, Yuki Mitsufuji:
Searching For Music Mixing Graphs: A Pruning Approach. - Jiangming Liu:
MACT: Model-Agnostic Cross-Lingual Training for Discourse Representation Structure Parsing. - Tanvi Verma, Lukas Schwemer, Mingrui Tan, Fei Gao, Yong Liu, Huazhu Fu:
Confidence-Based Task Prediction in Continual Disease Classification Using Probability Distribution. - Julian Frattini, Lloyd Montgomery, Davide Fucci, Michael Unterkalmsteiner, Daniel Méndez, Jannik Fischbach:
Requirements Quality Research Artifacts: Recovery, Analysis, and Management Guideline. - Sai Mandava:
Virtual avatar generation models as world navigators. - Palash Dey, Ashlesha Hota, Sudeshna Kolay, Sipra Singh:
Knapsack with Vertex Cover, Set Cover, and Hitting Set. - Si Wu, Tengfei Liu, Zhong-Ping Jiang:
Constructive Safety Control. - Jinze Yang, Haoran Wang, Zining Zhu, Chenglong Liu, Meng Wymond Wu, Zeke Xie, Zhong Ji, Jungong Han, Mingming Sun:
VIP: Versatile Image Outpainting Empowered by Multimodal Large Language Model. - Yonghao Li:
Satellites swarm cooperation for pursuit-attachment tasks with transformer-based reinforcement learning. - Qilong Zhangli, Jindong Jiang, Di Liu, Licheng Yu, Xiaoliang Dai, Ankit Ramchandani, Guan Pang, Dimitris N. Metaxas, Praveen Krishnan:
SceneTextGen: Layout-Agnostic Scene Text Image Synthesis with Diffusion Models. - Hansong Zhang, Shikun Li, Fanzhao Lin, Weiping Wang, Zhenxing Qian, Shiming Ge:
DANCE: Dual-View Distribution Alignment for Dataset Condensation. - Xuehui Yu, Yi Guan, Rujia Shen, Xin Li, Chen Tang, Jingchi Jiang:
Causal prompting model-based offline reinforcement learning. - Weihuang Zheng, Jiashuo Liu, Jiaxing Li, Jiayun Wu, Peng Cui, Youyong Kong:
Topology-Aware Dynamic Reweighting for Distribution Shifts on Graph. - Hantao Zhou, Longxiang Tang, Rui Yang, Guanyi Qin, Yan Zhang, Runze Hu, Xiu Li:
UniQA: Unified Vision-Language Pre-training for Image Quality and Aesthetic Assessment. - Jun Gao, Ziqiang Cao, Shaoyao Huang, Luozheng Qin, Chunhui Ai:
Guiding ChatGPT to Generate Salient Domain Summaries. - Jan Lippemeier, Stefanie Hittmeyer, Oliver Niehörster, Markus Lange-Hegermann:
Visual Car Brand Classification by Implementing a Synthetic Image Dataset Creation Pipeline. - Yaxin Li, Qi Xu, Jiangrong Shen, Hongming Xu, Long Chen, Gang Pan:
Towards Efficient Deep Spiking Neural Networks Construction with Spiking Activity based Pruning. - Georgia Markham, Mehala Balamurali, Andrew J. Hill:
Understanding the Cross-Domain Capabilities of Video-Based Few-Shot Action Recognition Models. - Jan Pauls, Max Zimmer, Una M. Kelly, Martin Schwartz, Sassan Saatchi, Philippe Ciais, Sebastian Pokutta, Martin Brandt, Fabian Gieseke:
Estimating Canopy Height at Scale. - Bernardo Fichera, Aude Billard:
Hybrid Quadratic Programming - Pullback Bundle Dynamical Systems Control. - Han Sun, Yunkang Cao, Olga Fink:
CUT: A Controllable, Universal, and Training-Free Visual Anomaly Generation Framework. - Joungbin An, Yunsu Park, Hyolim Kang, Seon Joo Kim:
Object Aware Egocentric Online Action Detection. - Zhibo Xing, Zijian Zhang, Ziang Zhang, Jiamou Liu, Liehuang Zhu, Giovanni Russello:
No Vandalism: Privacy-Preserving and Byzantine-Robust Federated Learning. - Katarzyna Gawlak, Jaroslaw Konieczny, Krzysztof Domino, Jaroslaw Adam Miszczak:
Statistical analysis of geoinformation data for increasing railway safety. - Hanlin Gu, Jiahuan Luo, Yan Kang, Yuan Yao, Gongxi Zhu, Bowen Li, Lixin Fan, Qiang Yang:
FedAdOb: Privacy-Preserving Federated Deep Learning with Adaptive Obfuscation. - Noga Bar, Raja Giryes:
Effective Subset Selection Through The Lens of Neural Network Pruning. - Wrick Talukdar, Anjanava Biswas:
Synergizing Unsupervised and Supervised Learning: A Hybrid Approach for Accurate Natural Language Task Modeling. - Kentaro Kanamori, Takuya Takagi, Ken Kobayashi, Yuichi Ike:
Learning Decision Trees and Forests with Algorithmic Recourse. - Francisco Robledo, Urtzi Ayesta, Konstantin Avrachenkov:
Deep reinforcement learning for weakly coupled MDP's with continuous actions. - Guillaume Moinard, Matthieu Latapy:
Fast and Robust Flocking of Protesters on Street Networks. - Rui Xavier, José Luís Silva, Rodrigo M. M. Ventura, Joaquim Jorge:
Pseudo-Haptics Survey: Human-Computer Interaction in Extended Reality & Teleoperation. - Chen Zhang, Qiang He, Yuan Zhou, Elvis S. Liu, Hong Wang, Jian Zhao, Yang Wang:
Advancing DRL Agents in Commercial Fighting Games: Training, Integration, and Agent-Human Alignment. - Zheng Zhou, Hongbo Zhao, Guangliang Cheng, Xiangtai Li, Shuchang Lyu, Wenquan Feng, Qi Zhao:
BACON: Bayesian Optimal Condensation Framework for Dataset Distillation. - Reijo Jaakkola, Tomi Janhunen, Antti Kuusisto, Masood Feyzbakhsh Rankooh, Miikka Vilander:
Globally Interpretable Classifiers via Boolean Formulas with Dynamic Propositions. - Kai Yi, Timur Kharisov, Igor Sokolov, Peter Richtárik:
Cohort Squeeze: Beyond a Single Communication Round per Cohort in Cross-Device Federated Learning. - Eros Fanì, Raffaello Camoriano, Barbara Caputo, Marco Ciccone:
Accelerating Heterogeneous Federated Learning with Closed-form Classifiers. - Fabian Clemens Weigend, Neelesh Kumar, Oya Aran, Heni Ben Amor:
Ubiquitous Robot Control Through Multimodal Motion Capture Using Smartwatch and Smartphone Data. - Saeed Safikhani, Lennart E. Nacke, Johanna Pirker:
A Literature Review and Taxonomy of In-VR Questionnaire User Interfaces. - Zitao Song, Chao Yang, Chaojie Wang, Bo An, Shuang Li:
Latent Logic Tree Extraction for Event Sequence Explanation from LLMs. - Pengtao Chen, Mingzhu Shen, Peng Ye, Jianjian Cao, Chongjun Tu, Christos-Savvas Bouganis, Yiren Zhao, Tao Chen:
Δ-DiT: A Training-Free Acceleration Method Tailored for Diffusion Transformers. - Wenjing Yue, Xiaoling Wang, Wei Zhu, Ming Guan, Huanran Zheng, Pengfei Wang, Changzhi Sun, Xin Ma:
TCMBench: A Comprehensive Benchmark for Evaluating Large Language Models in Traditional Chinese Medicine. - Kunpeng Wang, Zhengzheng Tu, Chenglong Li, Cheng Zhang, Bin Luo:
Learning Adaptive Fusion Bank for Multi-modal Salient Object Detection. - Saeed Safikhani, Benedikt Gross, Johanna Pirker:
The Application of Procedurally Generated Libraries in Immersive Virtual Reality. - Samuel Kessler, Tam Le, Vu Nguyen:
SAVA: Scalable Learning-Agnostic Data Valuation. - Pius von Däniken, Jan Deriu, Don Tuggener, Mark Cieliebak:
Favi-Score: A Measure for Favoritism in Automated Preference Ratings for Generative AI Evaluation. - Valentin Rychkov, Claudia Picoco, Emilie Caleca:
Impact of Generative AI (Large Language Models) on the PRA model construction and maintenance, observations. - Jan von der Assen, Jasmin Hochuli, Thomas Grübl, Burkhard Stiller:
The Danger Within: Insider Threat Modeling Using Business Process Models. - Konstantinos Roditakis, Spyridon Thermos, Nikolaos Zioulis:
Towards Practical Single-shot Motion Synthesis. - Yiming Li, Xuemin Chi, Amirreza Razmjoo, Sylvain Calinon:
Configuration Space Distance Fields for Manipulation Planning. - Thomas Bolander, Alessandro Burigana, Marco Montali:
Depth-Bounded Epistemic Planning. - Qinggang Zhang, Keyu Duan, Junnan Dong, Pai Zheng, Xiao Huang:
Logical Reasoning with Relation Network for Inductive Knowledge Graph Completion. - Guangyi Liu, Yongqi Zhang, Yong Li, Quanming Yao:
Explore then Determine: A GNN-LLM Synergy Framework for Reasoning over Knowledge Graph. - Nicholas J. Pritchard, Andreas Wicenec:
Formal Definition and Implementation of Reproducibility Tenets for Computational Workflows. - Haoran He, Can Chang, Huazhe Xu, Ling Pan:
Looking Backward: Retrospective Backward Synthesis for Goal-Conditioned GFlowNets. - P. J. Zhou, Q. Yu, M. Chen, Y. C. Wang, L. W. Meng, Y. Zuo, N. Ning, Y. Liu, S. G. Hu, G. C. Qiao:
A 0.96pJ/SOP, 30.23K-neuron/mm^2 Heterogeneous Neuromorphic Chip With Fullerene-like Interconnection Topology for Edge-AI Computing. - Sehoon Ha, Joonho Lee, Michiel van de Panne, Zhaoming Xie, Wenhao Yu, Majid Khadiv:
Learning-based legged locomotion; state of the art and future perspectives. - Zhi Liu, Si Wu, Tengfei Liu, Zhong-Ping Jiang:
Safety-Critical Control of Euler-Lagrange Systems Subject to Multiple Obstacles and Velocity Constraints. - Zehui Lin, Zhuoneng Zhang, Xindi Hu, Zhifan Gao, Xin Yang, Yue Sun, Dong Ni, Tao Tan:
UniUSNet: A Promptable Framework for Universal Ultrasound Disease Prediction and Tissue Segmentation. - Hao Wu, Rasmus Pagh:
Profile Reconstruction from Private Sketches. - Zhengcong Fei, Mingyuan Fan, Changqian Yu, Debang Li, Youqiang Zhang, Junshi Huang:
Dimba: Transformer-Mamba Diffusion Models. - Thomas Strypsteen, Alexander Bertrand:
Conditional Gumbel-Softmax for constrained feature selection with application to node selection in wireless sensor networks. - Lenart Treven, Bhavya Sukhija, Yarden As, Florian Dörfler, Andreas Krause:
When to Sense and Control? A Time-adaptive Approach for Continuous-Time RL. - Choubo Ding, Guansong Pang:
Zero-Shot Out-of-Distribution Detection with Outlier Label Exposure. - Yu-Min Tseng, Yu-Chao Huang, Teng-Yun Hsiao, Wei-Lin Chen, Chao-Wei Huang, Yu Meng, Yun-Nung Chen:
Two Tales of Persona in LLMs: A Survey of Role-Playing and Personalization. - Mengbang Zou, Weisi Guo:
Cascade Network Stability of Synchronized Traffic Load Balancing with Heterogeneous Energy Efficiency Policies. - Anas Al-Okaily:
Linear Index for Logarithmic Search-Time for any String under any Internal Node in Suffix Trees. - Bhavya Sukhija, Lenart Treven, Florian Dörfler, Stelian Coros, Andreas Krause:
NeoRL: Efficient Exploration for Nonepisodic RL. - Sindre Benjamin Remman, Bjørn Andreas Kristiansen, Anastasios M. Lekkas:
Deep Reinforcement Learning Behavioral Mode Switching Using Optimal Control Based on a Latent Space Objective. - Guanhua Huang, Yuchen Zhang, Zhe Li, Yongjian You, Mingze Wang, Zhouwang Yang:
Are AI-Generated Text Detectors Robust to Adversarial Perturbations? - Lorenzo Chicchi, Lorenzo Buffoni, Diego Febbe, Lorenzo Giambagli, Raffaele Marino, Duccio Fanelli:
Automatic Input Feature Relevance via Spectral Neural Networks. - Luca Wilke, Gianluca Scopelliti:
SNPGuard: Remote Attestation of SEV-SNP VMs Using Open Source Tools. - Xiang Wang, Shiwei Zhang, Changxin Gao, Jiayu Wang, Xiaoqiang Zhou, Yingya Zhang, Luxin Yan, Nong Sang:
UniAnimate: Taming Unified Video Diffusion Models for Consistent Human Image Animation. - Yuxuan Zhou, Mario Fritz, Margret Keuper:
MultiMax: Sparse and Multi-Modal Attention Learning. - Tianyuan Jin, Kyoungseok Jang, Nicolò Cesa-Bianchi:
Sparsity-Agnostic Linear Bandits with Adaptive Adversaries. - Zhongting Tang, Yi Zhang, Pooya Davari:
Programmable Multi-input Buck-Boost Converter for Photovoltaics Arrays. - Lorenzo Mur-Labadia, Ruben Martinez-Cantin, Josechu J. Guerrero, Giovanni Maria Farinella, Antonino Furnari:
AFF-ttention! Affordances and Attention models for Short-Term Object Interaction Anticipation. - Xu Yang, Wenhao Li, Qijie Ge, Lulu Suo, Weijie Tang, Zhengyu Wei, Longxiang Huang, Bo Wang:
C3P-VoxelMap: Compact, Cumulative and Coalescible Probabilistic Voxel Mapping. - Sihan Wen, Xiantan Zhu, Zhiming Tan:
3D WholeBody Pose Estimation based on Semantic Graph Attention Network and Distance Information. - Tzu-Lin Kuo, Tzu-Wei Chiu, Tzung-Sheng Lin, Sheng-Yang Wu, Chao-Wei Huang, Yun-Nung Chen:
A Survey of Generative Information Retrieval. - Kun Sun, Rong Wang:
Automatic Essay Multi-dimensional Scoring with Fine-tuning and Multiple Regression. - Bibrak Qamar Chandio, Maciej Brodowicz, Thomas L. Sterling:
Structures and Techniques for Streaming Dynamic Graph Processing on Decentralized Message-Driven Systems. - Nikolas Adaloglou, Felix Michels, Kaspar Senft, Diana Petrusheva, Markus Kollmann:
Scaling Up Deep Clustering Methods Beyond ImageNet-1K. - Yijun Chen, Kanghong Shi, Ian R. Petersen, Elizabeth L. Ratnam:
On the Stability of Networked Nonlinear Imaginary Systems with Applications to Electrical Power Systems. - Ding Jia, Jianyuan Guo, Kai Han, Han Wu, Chao Zhang, Chang Xu, Xinghao Chen:
GeminiFusion: Efficient Pixel-wise Multimodal Fusion for Vision Transformer. - Zhuojun Ding, Wei Wei, Xiaoye Qu, Dangyang Chen:
Improving Pseudo Labels with Global-Local Denoising Framework for Cross-lingual Named Entity Recognition. - Michal Witold Przewozniczek, Bartosz Frej, Marcin M. Komarnicki:
The hop-like problem nature - unveiling and modelling new features of real-world problems. - Fang Yu, Ya-Yu Chi, Yu-Fang Chen:
Constraint-based Adversarial Example Synthesis. - Lei Liu, Ke Zhao:
Report on Methods and Applications for Crafting 3D Humans. - Yi Su, Yunpeng Tai, Yixin Ji, Juntao Li, Bowen Yan, Min Zhang:
Demonstration Augmentation for Zero-shot In-context Learning. - Stefano Cirici, Michele Paolino, Daniel Raho:
SVFF: An Automated Framework for SR-IOV Virtual Function Management in FPGA Accelerated Virtualized Environments. - Tianqi Zhao, Alan Hanjalic, Megha Khosla:
AGALE: A Graph-Aware Continual Learning Evaluation Framework. - Viktor Shcherbakov, Fedor Krasnov:
Multi-word Term Embeddings Improve Lexical Product Retrieval. - Victor Boone, Zihan Zhang:
Achieving Tractable Minimax Optimal Regret in Average Reward MDPs. - Zixuan Dong, Baoyun Peng, Yufei Wang, Jia Fu, Xiaodong Wang, Yongxue Shan, Xin Zhou:
EffiQA: Efficient Question-Answering with Strategic Multi-Model Collaboration on Knowledge Graphs. - Ege Ç. Altunkaya, Akin Çatak, Emre Koyuncu, Ibrahim Özkol:
Loss of Control Prevention of an Agile Aircraft: Dynamic Command Saturation Approach. - Ya-Wei Eileen Lin, Ronen Talmon, Ron Levie:
Equivariant Machine Learning on Graphs with Nonlinear Spectral Filters. - Zhutao Zhuang, Xinqi Zeng, Zhiguang Chen:
DumpKV: Learning based lifetime aware garbage collection for key value separation in LSM-tree. - Ege Ç. Altunkaya, Akin Çatak, Emre Koyuncu, Ibrahim Özkol:
Innovative Gain Reconfiguration for Active Fault-Tolerant Flight Control: Balance of Stability and Agility. - Boxi Cao, Keming Lu, Xinyu Lu, Jiawei Chen, Mengjie Ren, Hao Xiang, Peilin Liu, Yaojie Lu, Ben He, Xianpei Han, Le Sun, Hongyu Lin, Bowen Yu:
Towards Scalable Automated Alignment of LLMs: A Survey. - Julian C. Schäfer-Zimmermann, Vlad Demartsev, Baptiste Averly, Kiran L. Dhanjal-Adams, Mathieu Duteil, Gabriella Gall, Marius Faiß, Lily Johnson-Ulrich, Dan Stowell, Marta B. Manser, Marie A. Roch, Ariana Strandburg-Peshkin:
animal2vec and MeerKAT: A self-supervised transformer for rare-event raw audio input and a large-scale reference dataset for bioacoustics. - Yunhao Ni, Yuxin Guo, Junlong Jia, Lei Huang:
On the Nonlinearity of Layer Normalization. - Bahram Mohammadi, Yicong Hong, Yuankai Qi, Qi Wu, Shirui Pan, Javen Qinfeng Shi:
Augmented Commonsense Knowledge for Remote Object Grounding. - Kairan Zhao, Meghdad Kurmanji, George-Octavian Barbulescu, Eleni Triantafillou, Peter Triantafillou:
What makes unlearning hard and what to do about it. - Muayad J. Aljafar, Zain Ul Abideen, Adriaan Peetermans, Benedikt Gierlichs, Samuel Pagliarini:
SCALLER: Standard Cell Assembled and Local Layout Effect-based Ring Oscillators. - Linshan Wu, Jiaxin Zhuang, Xuefeng Ni, Hao Chen:
FreeTumor: Advance Tumor Segmentation via Large-Scale Tumor Synthesis. - Boyan Li, Yuyu Luo, Chengliang Chai, Guoliang Li, Nan Tang:
The Dawn of Natural Language to SQL: Are We Fully Ready? - Aleksander Theo Strand, Sushant Gautam, Cise Midoglu, Pål Halvorsen:
SoccerRAG: Multimodal Soccer Information Retrieval via Natural Queries. - Vincenzo Buono, Peyman Sheikholharam Mashhadi, Mahmoud Rahat, Prayag Tiwari, Stefan Byttner:
Expected Grad-CAM: Towards gradient faithfulness. - Malte Luttermann, Ralf Möller, Marcel Gehrke:
Lifting Factor Graphs with Some Unknown Factors. - Zhenya Huang, Yuting Ning, Longhu Qin, Shiwei Tong, Shangzi Xue, Tong Xiao, Xin Lin, Jiayu Liu, Qi Liu, Enhong Chen, Shijing Wang:
EduNLP: Towards a Unified and Modularized Library for Educational Resources. - Tillmann Ohm, Andres Karjus, Mikhail V. Tamm, Maximilian Schich:
fruit-SALAD: A Style Aligned Artwork Dataset to reveal similarity perception in image embeddings. - Aleksander Theo Strand, Sushant Gautam, Cise Midoglu, Pål Halvorsen:
Demo: Soccer Information Retrieval via Natural Queries using SoccerRAG. - Jiaxu Liu, Xinping Yi, Sihao Wu, Xiangyu Yin, Tianle Zhang, Xiaowei Huang, Shi Jin:
Continuous Geometry-Aware Graph Diffusion via Hyperbolic Neural PDE. - Jungmin Yun, Mihyeon Kim, Youngbin Kim:
Focus on the Core: Efficient Attention via Pruned Token Compression for Document Classification. - Jan Malte Lichtenberg, Alexander Buchholz, Pola Schwöbel:
Large Language Models as Recommender Systems: A Study of Popularity Bias. - Xiaosen Zheng, Tianyu Pang, Chao Du, Qian Liu, Jing Jiang, Min Lin:
Improved Few-Shot Jailbreaking Can Circumvent Aligned Language Models and Their Defenses. - Sofie Goethals, Eoin Delaney, Brent D. Mittelstadt, Chris Russell:
Resource-constrained Fairness. - Rita Pucci, Niki Martinel:
Capsule Enhanced Variational AutoEncoder for Underwater Image Reconstruction. - Ryo Kamoi, Yusen Zhang, Nan Zhang, Jiawei Han, Rui Zhang:
When Can LLMs Actually Correct Their Own Mistakes? A Critical Survey of Self-Correction of LLMs. - Elad Richardson, Yuval Alaluf, Ali Mahdavi-Amiri, Daniel Cohen-Or:
pOps: Photo-Inspired Diffusion Operators. - Zhusi Zhong, Helen Zhang, Fayez H. Fayad, Andrew C. Lancaster, John Sollee, Shreyas Kulkarni, Cheng Ting Lin, Jie Li, Xinbo Gao, Scott Collins, Colin Greineder, Sun Ho Ahn, Harrison X. Bai, Zhicheng Jiao, Michael K. Atalay:
Pulmonary Embolism Mortality Prediction Using Multimodal Learning Based on Computed Tomography Angiography and Clinical Data. - Dong Chen, Shaoxin Lin, Muhan Zeng, Daoguang Zan, Jian-Gang Wang, Anton Cheshkov, Jun Sun, Hao Yu, Guoliang Dong, Artem Aliev, Jie Wang, Xiao Cheng, Guangtai Liang, Yuchi Ma, Pan Bian, Tao Xie, Qianxiang Wang:
CodeR: Issue Resolving with Multi-Agent and Task Graphs. - Fanyi Qu, Hao Sun, Yunfang Wu:
Unsupervised Distractor Generation via Large Language Model Distilling and Counterfactual Contrastive Decoding. - Eugene Goldberg:
On Efficient Algorithms For Partial Quantifier Elimination. - Rishi Hazra, Alkis Sygkounas, Andreas Persson, Amy Loutfi, Pedro Zuidberg Dos Martires:
REvolve: Reward Evolution with Large Language Models for Autonomous Driving. - Sushant Gautam:
FactGenius: Combining Zero-Shot Prompting and Fuzzy Relation Mining to Improve Fact Verification with Knowledge Graphs. - Hongjiang Lei, Xiaqiu Wu, Ki-Hong Park, Gaofeng Pan:
3D Trajectory Design for Energy-constrained Aerial CRNs Under Probabilistic LoS Channel. - Firas Khader, Omar S. M. El Nahhas, Tianyu Han, Gustav Müller-Franzes, Sven Nebelung, Jakob Nikolas Kather, Daniel Truhn:
Compute-Efficient Medical Image Classification with Softmax-Free Transformers and Sequence Normalization. - Giovanni Barbarani, Francesco Vaccarino, Gabriele Trivigno, Marco Guerra, Gabriele Moreno Berton, Carlo Masone:
Scale-Free Image Keypoints Using Differentiable Persistent Homology. - Vítor Fortes Rey, Lala Shakti Swarup Ray, Qingxin Xia, Kaishun Wu, Paul Lukowicz:
Enhancing Inertial Hand based HAR through Joint Representation of Language, Pose and Synthetic IMUs. - Maya Bechler-Speicher, Amir Globerson, Ran Gilad-Bachrach:
The Intelligible and Effective Graph Neural Additive Networks. - Mahsa Kadkhodaei Elyaderani, Shahram Shirani:
Sequence-to-Sequence Multi-Modal Speech In-Painting. - Aurora Zhang, Annette Hosoi:
Structural Interventions and the Dynamics of Inequality. - Weichao Zhao, Hao Feng, Qi Liu, Jingqun Tang, Shu Wei, Binghong Wu, Lei Liao, Yongjie Ye, Hao Liu, Houqiang Li, Can Huang:
TabPedia: Towards Comprehensive Visual Table Understanding with Concept Synergy. - Philipp Spitzer, Niklas Kühl, Marc Goutier, Manuel Kaschura, Gerhard Satzger:
Transferring Domain Knowledge with (X)AI-Based Learning Systems. - Yuanming Tian, Dan Wang, Chuan Huang, Wei Zhang:
Performance Trade-off of Integrated Sensing and Communications for Multi-User Backscatter Systems. - Zhenhua Liu, Tong Zhu, Chuanyuan Tan, Haonan Lu, Bing Liu, Wenliang Chen:
Probing Language Models for Pre-training Data Detection. - Mengcheng Li, Hongwen Zhang, Yuxiang Zhang, Ruizhi Shao, Tao Yu, Yebin Liu:
HHMR: Holistic Hand Mesh Recovery by Enhancing the Multimodal Controllability of Graph Diffusion Models. - Ka Lung Cheung, Chi Chung Lee:
ARCH2S: Dataset, Benchmark and Challenges for Learning Exterior Architectural Structures from Point Clouds. - Donghwi Kim, Hyungjun Yoon, Chang Min Park, Sujin Han, Youngjin Kwon, Steven Y. Ko, Sung-Ju Lee:
Recover as It is Designed to Be: Recovering from Compatibility Mobile App Crashes by Reusing User Flows. - (Withdrawn) Important node identification for complex networks based on improved Electre Multi-Attribute fusion.