All posts under tag "Machine Learning"
๐ Original Info Title: DatBench: Discriminative, Faithful, and Efficient VLM Evaluations ArXiv ID: 2601.02316 Date: 2026-01-05 Authors: DatologyAI, :, Siddharth Joshi, Haoli Yin, Rishabh Adiga, Ricardo Monti, Aldo Carranza, Alex Fang, Alvin Deng, โฆ
๐ Original Info Title: Digital Twin-Driven Communication-Efficient Federated Anomaly Detection for Industrial IoT ArXiv ID: 2601.01701 Date: 2026-01-05 Authors: Mohammed Ayalew Belay, Adil Rasheed, Pierluigi Salvo Rossi ๐ Abstract Anomaly detection โฆ
๐ Original Info Title: HyperCLOVA X 8B Omni ArXiv ID: 2601.01792 Date: 2026-01-05 Authors: NAVER Cloud HyperCLOVA X Team ๐ Abstract In this report, we present HyperCLOVA X 8B Omni, the first any-to-any omnimodal model in the HyperCLOVA X family that โฆ
๐ Original Info Title: Sparse Threats, Focused Defense: Criticality-Aware Robust Reinforcement Learning for Safe Autonomous Driving ArXiv ID: 2601.01800 Date: 2026-01-05 Authors: Qi Wei, Junchao Fan, Zhao Yang, Jianhua Wang, Jingkai Mao, Xiaolin โฆ
๐ Original Info Title: The Homogeneity Trap: Spectral Collapse in Doubly-Stochastic Deep Networks ArXiv ID: 2601.02080 Date: 2026-01-05 Authors: Yizhi Liu ๐ Abstract Doubly-stochastic matrices (DSM) are increasingly utilized in deep โฆ
๐ Original Info Title: Robust and Efficient Zeroth-Order LLM Fine-Tuning via Adaptive Bayesian Subspace Optimizer ArXiv ID: 2601.01452 Date: 2026-01-04 Authors: Jian Feng, Zhihong Huang ๐ Abstract Fine-tuning large language models (LLMs) with โฆ
๐ Original Info Title: Beyond Demand Estimation: Consumer Surplus Evaluation via Cumulative Propensity Weights ArXiv ID: 2601.01029 Date: 2026-01-03 Authors: Zeyu Bian, Max Biggs, Ruijiang Gao, Zhengling Qi ๐ Abstract This paper develops a practical โฆ
๐ Original Info Title: Bridging the Semantic Gap for Categorical Data Clustering via Large Language Models ArXiv ID: 2601.01162 Date: 2026-01-03 Authors: Zihua Yang, Xin Liao, Yiqun Zhang, Yiu-ming Cheung ๐ Abstract Categorical data are prevalent in โฆ
๐ Original Info Title: Data-Driven Assessment of Concrete Mixture Compositions on Chloride Transport via Standalone Machine Learning Algorithms ArXiv ID: 2601.01009 Date: 2026-01-03 Authors: Mojtaba Aliasghar-Mamaghani, Mohammadreza Khalafi ๐ โฆ
๐ Original Info Title: Flow Equivariant World Models: Memory for Partially Observed Dynamic Environments ArXiv ID: 2601.01075 Date: 2026-01-03 Authors: Hansen Jin Lillemark, Benhao Huang, Fangneng Zhan, Yilun Du, Thomas Anderson Keller ๐ Abstract โฆ
๐ Original Info Title: Improving Variational Autoencoder using Random Fourier Transformation: An Aviation Safety Anomaly Detection Case-Study ArXiv ID: 2601.01016 Date: 2026-01-03 Authors: Ata Akbari Asanjan, Milad Memarzadeh, Bryan Matthews, Nikunj โฆ
๐ Original Info Title: Learning from Historical Activations in Graph Neural Networks ArXiv ID: 2601.01123 Date: 2026-01-03 Authors: Yaniv Galron, Hadar Sinai, Haggai Maron, Moshe Eliasof ๐ Abstract Graph Neural Networks (GNNs) have demonstrated โฆ
๐ Original Info Title: MentalGame: Predicting Personality-Job Fitness for Software Developers Using Multi-Genre Games and Machine Learning Approaches ArXiv ID: 2601.01206 Date: 2026-01-03 Authors: Soroush Elyasi, Arya VarastehNezhad, Fattaneh โฆ
๐ Original Info Title: Wittgensteins Family Resemblance Clustering Algorithm ArXiv ID: 2601.01127 Date: 2026-01-03 Authors: Golbahar Amanpour, Benyamin Ghojogh ๐ Abstract This paper, introducing a novel method in philomatics, draws on Wittgenstein's โฆ
๐ Original Info Title: Adapting Feature Attenuation to NLP ArXiv ID: 2601.00965 Date: 2026-01-02 Authors: Tianshuo Yang, Ryan Rabinowitz, Terrance E. Boult, Jugal Kalita ๐ Abstract Transformer classifiers such as BERT deliver impressive closed-set โฆ
๐ Original Info Title: Avatar Forcing: Real-Time Interactive Head Avatar Generation for Natural Conversation ArXiv ID: 2601.00664 Date: 2026-01-02 Authors: Taekyung Ki, Sangwon Jang, Jaehyeong Jo, Jaehong Yoon, Sung Ju Hwang ๐ Abstract Real-time โฆ
๐ Original Info Title: FedHypeVAE: Federated Learning with Hypernetwork Generated Conditional VAEs for Differentially Private Embedding Sharing ArXiv ID: 2601.00785 Date: 2026-01-02 Authors: Sunny Gupta, Amit Sethi ๐ Abstract Federated data sharing โฆ
๐ Original Info Title: Interpretability-Guided Bi-objective Optimization: Aligning Accuracy and Explainability ArXiv ID: 2601.00655 Date: 2026-01-02 Authors: Kasra Fouladi, Hamta Rahmani ๐ Abstract Note: AI writing assistance was utilized for โฆ
๐ Original Info Title: IRPO: Scaling the Bradley-Terry Model via Reinforcement Learning ArXiv ID: 2601.00677 Date: 2026-01-02 Authors: Haonan Song, Qingchen Xie, Huan Zhu, Feng Xiao, Luxi Xing, Fuzhen Li, Liu Kang, Feng Jiang, Zhiyong Zheng, Fan Yang โฆ
๐ Original Info Title: Learning to be Reproducible: Custom Loss Design for Robust Neural Networks ArXiv ID: 2601.00578 Date: 2026-01-02 Authors: Waqas Ahmed, Sheeba Samuel, Kevin Coakley, Birgitta Koenig-Ries, Odd Erik Gundersen ๐ Abstract To enhance โฆ
๐ Original Info Title: LOFA: Online Influence Maximization under Full-Bandit Feedback using Lazy Forward Selection ArXiv ID: 2601.00933 Date: 2026-01-02 Authors: Jinyu Xu, Abhishek K. Umrawal ๐ Abstract We study the problem of influence maximization โฆ
๐ Original Info Title: Optimizing LSTM Neural Networks for Resource-Constrained Retail Sales Forecasting: A Model Compression Study ArXiv ID: 2601.00525 Date: 2026-01-02 Authors: Ravi Teja Pagidoju ๐ Abstract Standard LSTM(Long Short-Term Memory) โฆ
๐ Original Info Title: Stronger Approximation Guarantees for Non-Monotone ฮณ-Weakly DR-Submodular Maximization ArXiv ID: 2601.00611 Date: 2026-01-02 Authors: Hareshkumar Jadav, Ranveer Singh, Vaneet Aggarwal ๐ Abstract Maximizing submodular objectives โฆ
๐ Original Info Title: Trajectory Guard – A Lightweight, Sequence-Aware Model for Real-Time Anomaly Detection in Agentic AI ArXiv ID: 2601.00516 Date: 2026-01-02 Authors: Laksh Advani ๐ Abstract Autonomous LLM agents generate multi-step action โฆ
๐ Original Info Title: Attention Needs to Focus: A Unified Perspective on Attention Allocation ArXiv ID: 2601.00919 Date: 2026-01-01 Authors: Zichuan Fu, Wentao Song, Guojing Li, Yejing Wang, Xian Wu, Yimin Deng, Hanyu Yan, Yefeng Zheng, Xiangyu Zhao โฆ
๐ Original Info Title: Complexity-based code embeddings ArXiv ID: 2601.00924 Date: 2026-01-01 Authors: Rares Folea, Radu Iacob, Emil Slusanschi, Traian Rebedea ๐ Abstract This paper presents a generic method for transforming the source code of โฆ
๐ Original Info Title: Conformal Prediction Under Distribution Shift: A COVID-19 Natural Experiment ArXiv ID: 2601.00908 Date: 2026-01-01 Authors: Chorok Lee ๐ Abstract Conformal prediction guarantees degrade under distribution shift. We study this โฆ
๐ Original Info Title: E-GRPO: High Entropy Steps Drive Effective Reinforcement Learning for Flow Models ArXiv ID: 2601.00423 Date: 2026-01-01 Authors: Shengjun Zhang, Zhang Zhang, Chensheng Dai, Yueqi Duan ๐ Abstract Recent reinforcement learning โฆ
๐ Original Info Title: GRIT – Geometry-Aware PEFT with K-FACPreconditioning, Fisher-Guided Reprojection, andDynamic Rank Adaptation ArXiv ID: 2601.00231 Date: 2026-01-01 Authors: Pritish Saha, Chandrav Rajbangshi, Rudra Goyal, Mohit Goyal, โฆ
๐ Original Info Title: MODE: Efficient Time Series Prediction with Mamba Enhanced by Low-Rank Neural ODEs ArXiv ID: 2601.00920 Date: 2026-01-01 Authors: Xingsheng Chen, Regina Zhang, Bo Gao, Xingwei He, Xiaofeng Liu, Pietro Lio, Kwok-Yan Lam, โฆ
๐ Original Info Title: Neural Chains and Discrete Dynamical Systems ArXiv ID: 2601.00473 Date: 2026-01-01 Authors: Sauro Succi, Abhisek Ganguly, Santosh Ansumali ๐ Abstract than the unique tridiagonal form in matrix space, which explains why the PINN โฆ
๐ Original Info Title: Online Finetuning Decision Transformers with Pure RL Gradients ArXiv ID: 2601.00167 Date: 2026-01-01 Authors: Junkai Luo, Yinglun Zhu ๐ Abstract Decision Transformers (DTs) have emerged as a powerful framework for sequential โฆ
๐ Original Info Title: Practical Geometric and Quantum Kernel Methods for Predicting Skeletal Muscle Outcomes in chronic obstructive pulmonary disease ArXiv ID: 2601.00921 Date: 2026-01-01 Authors: Azadeh Alavi, Hamidreza Khalili, Stanley H. Chan, โฆ
๐ Original Info Title: AutoFed: Manual-Free Federated Traffic Prediction via Personalized Prompt ArXiv ID: 2512.24625 Date: 2025-12-31 Authors: Zijian Zhao, Yitong Shang, Sen Li ๐ Abstract Accurate traffic prediction is essential for Intelligent โฆ
๐ Original Info Title: Generative Classifiers Avoid Shortcut Solutions ArXiv ID: 2512.25034 Date: 2025-12-31 Authors: Alexander C. Li, Ananya Kumar, Deepak Pathak ๐ Abstract Discriminative approaches to classification often learn shortcuts that hold โฆ
๐ Original Info Title: MSACL: Multi-Step Actor-Critic Learning with Lyapunov Certificates for Exponentially Stabilizing Control ArXiv ID: 2512.24955 Date: 2025-12-31 Authors: Yongwei Zhang, Yuanzhe Xing, Quan Quan, Zhikun She ๐ Abstract For โฆ
๐ Original Info Title: Semi-overlapping Multi-bandit Best Arm Identification for Sequential Support Network Learning ArXiv ID: 2512.24959 Date: 2025-12-31 Authors: Andrรกs Antos, Andrรกs Millinghoffer, Pรฉter Antal ๐ Abstract Many modern AI and ML โฆ
๐ Original Info Title: A-PINN: Auxiliary Physics-informed Neural Networks for Structural Vibration Analysis in Continuous Euler-Bernoulli Beam ArXiv ID: 2601.00866 Date: 2025-12-30 Authors: Shivani Saini, Ramesh Kumar Vats, Arup Kumar Sahoo ๐ โฆ
๐ Original Info Title: Can Small Training Runs Reliably Guide Data Curation? Rethinking Proxy-Model Practice ArXiv ID: 2512.24503 Date: 2025-12-30 Authors: Jiachen T. Wang, Tong Wu, Kaifeng Lyu, James Zou, Dawn Song, Ruoxi Jia, Prateek Mittal ๐ โฆ
๐ Original Info Title: Causify DataFlow: A Framework For High-performance Machine Learning Stream Computing ArXiv ID: 2512.23977 Date: 2025-12-30 Authors: Giacinto Paolo Saggese, Paul Smith ๐ Abstract same DAG can be run in a Jupyter notebook for โฆ
๐ Original Info Title: Empower Low-Altitude Economy: A Reliability-Aware Dynamic Weighting Allocation for Multi-modal UAV Beam Prediction ArXiv ID: 2512.24324 Date: 2025-12-30 Authors: Haojin Li, Anbang Zhang, Chen Sun, Chenyuan Feng, Kaiqian Qu, โฆ
๐ Original Info Title: GARDO: Reinforcing Diffusion Models without Reward Hacking ArXiv ID: 2512.24138 Date: 2025-12-30 Authors: Haoran He, Yuxiao Ye, Jie Liu, Jiajun Liang, Zhiyong Wang, Ziyang Yuan, Xintao Wang, Hangyu Mao, Pengfei Wan, Ling Pan ๐ โฆ
๐ Original Info Title: Interactive Machine Learning: From Theory to Scale ArXiv ID: 2512.23924 Date: 2025-12-30 Authors: Yinglun Zhu ๐ Abstract First and foremost, I would like to express my deepest gratitude to my Ph.D. advisor Robert D. Nowak, for โฆ
๐ Original Info Title: LLMize: A Framework for Large Language Model-Based Numerical Optimization ArXiv ID: 2601.00874 Date: 2025-12-30 Authors: M. Rizki Oktavian ๐ Abstract Large language models (LLMs) have recently shown strong reasoning โฆ
๐ Original Info Title: OptRot: Mitigating Weight Outliers via Data-Free Rotations for Post-Training Quantization ArXiv ID: 2512.24124 Date: 2025-12-30 Authors: Advait Gadhikar, Riccardo Grazzi, James Hensman ๐ Abstract The presence of outliers in โฆ
๐ Original Info Title: Path Integral Solution for Dissipative Generative Dynamics ArXiv ID: 2601.00860 Date: 2025-12-30 Authors: Xidi Wang ๐ Abstract Can purely mechanical systems generate intelligent language? We prove that dissipative quantum โฆ
๐ Original Info Title: BOAD: Discovering Hierarchical Software Engineering Agents via Bandit Optimization ArXiv ID: 2512.23631 Date: 2025-12-29 Authors: Iris Xu, Guangtao Zeng, Zexue He, Charles Jin, Aldo Pareja, Dan Gutfreund, Chuang Gan, Zhang-Wei โฆ
๐ Original Info Title: Eliminating Inductive Bias in Reward Models with Information-Theoretic Guidance ArXiv ID: 2512.23461 Date: 2025-12-29 Authors: Zhuo Li, Pengyu Cheng, Zhechao Yu, Feifei Tong, Anningzhe Gao, Tsung-Hui Chang, Xiang Wan, Erchao โฆ
๐ Original Info Title: FineFT: Efficient and Risk-Aware Ensemble Reinforcement Learning for Futures Trading ArXiv ID: 2512.23773 Date: 2025-12-29 Authors: Molei Qin, Xinyu Cai, Yewen Li, Haochong Xia, Chuqiao Zong, Shuo Sun, Xinrun Wang, Bo An ๐ โฆ
๐ Original Info Title: KernelEvolve: Scaling Agentic Kernel Coding for Heterogeneous AI Accelerators at Meta ArXiv ID: 2512.23236 Date: 2025-12-29 Authors: Gang Liao, Hongsen Qin, Ying Wang, Alicia Golden, Michael Kuchnik, Yavuz Yetim, Jia Jiunn Ang, โฆ
๐ Original Info Title: SB-TRPO: Towards Safe Reinforcement Learning with Hard Constraints ArXiv ID: 2512.23770 Date: 2025-12-29 Authors: Ankit Kanwar, Dominik Wagner, Luke Ong ๐ Abstract In safety-critical domains, reinforcement learning (RL) agents โฆ
๐ Original Info Title: Splitwise: Collaborative Edge-Cloud Inference for LLMs via Lyapunov-Assisted DRL ArXiv ID: 2512.23310 Date: 2025-12-29 Authors: Abolfazl Younesi, Abbas Shabrang Maryan, Elyas Oustad, Zahra Najafabadi Samani, Mohsen Ansari, โฆ
๐ Original Info Title: Theoretical Foundations of Scaling Law in Familial Models ArXiv ID: 2512.23407 Date: 2025-12-29 Authors: Huan Song, Qingfei Zhao, Ting Long, Shuyu Tian, Hongjun An, Jiawei Shao, Xuelong Li ๐ Abstract Neural scaling laws have โฆ
๐ Original Info Title: A Note on Hybrid Online Reinforcement and Imitation Learning for LLMs: Formulations and Algorithms ArXiv ID: 2512.23097 Date: 2025-12-28 Authors: Yingru Li, Ziniu Li, Jiacai Liu ๐ Abstract We present a unified framework for โฆ
๐ Original Info Title: APO: Alpha-Divergence Preference Optimization ArXiv ID: 2512.22953 Date: 2025-12-28 Authors: Wang Zixian ๐ Abstract Two divergence regimes dominate modern alignment practice. Supervised fine-tuning and many distillation-style โฆ
๐ Original Info Title: Drift-Based Dataset Stability Benchmark ArXiv ID: 2512.23762 Date: 2025-12-28 Authors: Dominik Soukup, Richard Plnรฝ, Daniel Vaลกata, Tomรกลก ฤejka ๐ Abstract Machine learning (ML) represents an efficient and popular approach for โฆ
๐ Original Info Title: How Much Data Is Enough? Uniform Convergence Bounds for Generative & Vision-Language Models under Low-Dimensional Structure ArXiv ID: 2512.23109 Date: 2025-12-28 Authors: Paul M. Thompson ๐ Abstract Modern generative and โฆ
๐ Original Info Title: JADAI: Jointly Amortizing Adaptive Design and Bayesian Inference ArXiv ID: 2512.22999 Date: 2025-12-28 Authors: Niels Bracher, Lars Kรผhmichel, Desi R. Ivanova, Xavier Intes, Paul-Christian Bรผrkner, Stefan T. Radev ๐ Abstract We โฆ
๐ Original Info Title: Multimodal Functional Maximum Correlation for Emotion Recognition ArXiv ID: 2512.23076 Date: 2025-12-28 Authors: Deyang Zheng, Tianyi Zhang, Wenming Zheng, Shujian Yu ๐ Abstract Emotional states manifest as coordinated and โฆ
๐ Original Info Title: Sat-EnQ: Satisficing Ensembles of Weak Q-Learners for Reliable and Compute-Efficient Reinforcement Learning ArXiv ID: 2512.22910 Date: 2025-12-28 Authors: รnver รiftรงi ๐ Abstract Deep Q-learning algorithms remain notoriously โฆ
๐ Original Info Title: Taming the Tail: Stable LLM Reinforcement Learning via Dynamic Vocabulary Pruning ArXiv ID: 2512.23087 Date: 2025-12-28 Authors: Yingru Li, Jiawei Xu, Jiacai Liu, Yuxuan Tong, Ziniu Li, Tianle Cai, Ge Zhang, Qian Liu, Baoxiang โฆ
๐ Original Info Title: Trust Region Masking for Long-Horizon LLM Reinforcement Learning ArXiv ID: 2512.23075 Date: 2025-12-28 Authors: Yingru Li, Jiacai Liu, Jiawei Xu, Yuxuan Tong, Ziniu Li, Baoxiang Wang ๐ Abstract Policy gradient methods for large โฆ
๐ Original Info Title: Generalized Regularized Evidential Deep Learning Models: Theory and Comprehensive Evaluation ArXiv ID: 2512.23753 Date: 2025-12-27 Authors: Deep Shankar Pandey, Hyomin Choi, Qi Yu ๐ Abstract Evidential deep learning (EDL) โฆ
๐ Original Info Title: Geometric Scaling of Bayesian Inference in LLMs ArXiv ID: 2512.23752 Date: 2025-12-27 Authors: Naman Agarwal, Siddhartha R. Dalal, Vishal Misra ๐ Abstract Paper I establishes that neural sequence models can implement exact โฆ
๐ Original Info Title: From interpretability to inference: an estimation framework for universal approximators ArXiv ID: 1903.04209 Date: 2024-12-06 Authors: Andreas Joseph ๐ Abstract We present a novel framework for estimation and inference with the โฆ
๐ Original Info Title: Learning to Importance Sample in Primary Sample Space ArXiv ID: 1808.07840 Date: 2024-03-25 Authors: Quan Zheng and Matthias Zwicker ๐ Abstract Importance sampling is one of the most widely used variance reduction strategies in โฆ
๐ Original Info Title: Online Causal Inference for Advertising in Real-Time Bidding Auctions ArXiv ID: 1908.08600 Date: 2024-02-27 Authors: Caio Waisman, Harikesh S. Nair, Carlos Carrion ๐ Abstract Real-time bidding (RTB) systems, which utilize โฆ
๐ Original Info Title: MW-GAN: Multi-Warping GAN for Caricature Generation with Multi-Style Geometric Exaggeration ArXiv ID: 2001.01870 Date: 2021-12-21 Authors: Haodi Hou, Jing Huo, Jing Wu, Yu-Kun Lai, and Yang Gao ๐ Abstract Given an input face โฆ
๐ Original Info Title: Multitask learning over graphs: An Approach for Distributed, Streaming Machine Learning ArXiv ID: 2001.02112 Date: 2021-09-29 Authors: Roula Nassif, Stefan Vlaski, Cedric Richard, Jie Chen, and Ali H. Sayed ๐ Abstract The โฆ
๐ Original Info Title: Large-Scale Traffic Signal Control Using a Novel Multi-Agent Reinforcement Learning ArXiv ID: 1908.03761 Date: 2021-09-14 Authors: Xiaoqiang Wang, Liangjun Ke, Zhimin Qiao, and Xinghua Chai ๐ Abstract Finding the optimal signal โฆ
๐ Original Info Title: VC-dimensions of nondeterministic finite automata for words of equal length ArXiv ID: 2001.02309 Date: 2021-08-06 Authors: Bj{o}rn Kjos-Hanssen, Clyde James Felix, Sun Young Kim, Ethan Lamb, Davin Takahashi ๐ Abstract Let โฆ
๐ Original Info Title: Distributed Deep Convolutional Neural Networks for the Internet-of-Things ArXiv ID: 1908.01656 Date: 2021-07-30 Authors: Simone Disabato, Manuel Roveri, Cesare Alippi ๐ Abstract Severe constraints on memory and computation โฆ
๐ Original Info Title: Training DNN IoT Applications for Deployment On Analog NVM Crossbars ArXiv ID: 1910.13850 Date: 2020-10-19 Authors: Fernando Garcia-Redondo, Shidhartha Das, Glen Rosendale ๐ Abstract A trend towards energy-efficiency, security โฆ
๐ Original Info Title: Optimizing Loss Functions Through Multivariate Taylor Polynomial Parameterization ArXiv ID: 2002.00059 Date: 2020-10-05 Authors: Santiago Gonzalez and Risto Miikkulainen ๐ Abstract Metalearning of deep neural network (DNN) โฆ
๐ Original Info Title: Exploring Adversarial Attack in Spiking Neural Networks with Spike-Compatible Gradient ArXiv ID: 2001.01587 Date: 2020-10-02 Authors: Ling Liang, Xing Hu, Lei Deng, Yujie Wu, Guoqi Li, Yufei Ding, Peng Li, Yuan Xie ๐ Abstract โฆ
๐ Original Info Title: A Simple Model for Portable and Fast Prediction of Execution Time and Power Consumption of GPU Kernels ArXiv ID: 2001.07104 Date: 2020-10-01 Authors: Lorenz Braun, Sotirios Nikas, Chen Song, Vincent Heuveline, Holger โฆ
๐ Original Info Title: MagNet: Discovering Multi-agent Interaction Dynamics using Neural Network ArXiv ID: 2001.09001 Date: 2020-10-01 Authors: Priyabrata Saha, Arslan Ali, Burhan A. Mudassar, Yun Long, and Saibal Mukhopadhyay ๐ Abstract We present โฆ
๐ Original Info Title: Toward Optimal Adversarial Policies in the Multiplicative Learning System with a Malicious Expert ArXiv ID: 2001.00543 Date: 2020-09-21 Authors: S. Rasoul Etesami, Negar Kiyavash, Vincent Leon, H. Vincent Poor ๐ Abstract We โฆ
๐ Original Info Title: Communication-Efficient Federated Deep Learning with Asynchronous Model Update and Temporally Weighted Aggregation ArXiv ID: 1903.07424 Date: 2020-08-31 Authors: Yang Chen, Xiaoyan Sun, Yaochu Jin ๐ Abstract Federated learning โฆ
๐ Original Info Title: Visual Summary of Value-level Feature Attribution in Prediction Classes with Recurrent Neural Networks ArXiv ID: 2001.08379 Date: 2020-08-25 Authors: Chuan Wang, Xumeng Wang, Kwan-Liu Ma ๐ Abstract Deep Recurrent Neural โฆ
๐ Original Info Title: Spoof detection using time-delay shallow neural network and feature switching ArXiv ID: 1904.07453 Date: 2020-07-28 Authors: Mari Ganesh Kumar, Suvidha Rupesh Kumar, Saranya M, B. Bharathi, Hema A. Murthy ๐ Abstract Detecting โฆ
๐ Original Info Title: Dynamic Radar Network of UAVs: A Joint Navigation and Tracking Approach ArXiv ID: 2001.04560 Date: 2020-07-23 Authors: Anna Guerra, Davide Dardari, Petar M. Djuric ๐ Abstract Nowadays there is a growing research interest on the โฆ
๐ Original Info Title: Survey on Evaluation Methods for Dialogue Systems ArXiv ID: 1905.04071 Date: 2020-06-29 Authors: Jan Deriu, Alvaro Rodrigo, Arantxa Otegi, Guillermo Echegoyen, Sophie Rosset, Eneko Agirre, Mark Cieliebak ๐ Abstract In this โฆ
๐ Original Info Title: Convolutional Embedding for Edit Distance ArXiv ID: 2001.11692 Date: 2020-05-25 Authors: Xinyan Dai, Xiao Yan, Kaiwen Zhou, Yuxuan Wang, Han Yang, James Cheng ๐ Abstract Edit-distance-based string similarity search has many โฆ
๐ Original Info Title: cGANs with Conditional Convolution Layer ArXiv ID: 1906.00709 Date: 2020-04-09 Authors: Min-Cheol Sagong, Yong-Goo Shin, Yoon-Jae Yeo, Seung Park, Sung-Jea Ko ๐ Abstract Conditional generative adversarial networks (cGANs) have โฆ
๐ Original Info Title: FastV2C-HandNet: Fast Voxel to Coordinate Hand Pose Estimation with 3D Convolutional Neural Networks ArXiv ID: 1907.06327 Date: 2020-02-21 Authors: Rohan Lekhwani, Bhupendra Singh ๐ Abstract Hand pose estimation from monocular โฆ
๐ Original Info Title: AI-based Pilgrim Detection using Convolutional Neural Networks ArXiv ID: 1911.07509 Date: 2020-02-20 Authors: Marwa Ben Jabra, Adel Ammar, Anis Koubaa, Omar Cheikhrouhou, Habib Hamam ๐ Abstract Pilgrimage represents the most โฆ
๐ Original Info Title: AdaptivFloat: A Floating-point based Data Type for Resilient Deep Learning Inference ArXiv ID: 1909.13271 Date: 2020-02-12 Authors: Thierry Tambe, En-Yu Yang, Zishen Wan, Yuntian Deng, Vijay Janapa Reddi, Alexander Rush, David โฆ
๐ Original Info Title: Encoding-based Memory Modules for Recurrent Neural Networks ArXiv ID: 2001.11771 Date: 2020-02-03 Authors: Antonio Carta, Alessandro Sperduti, Davide Bacciu ๐ Abstract Learning to solve sequential tasks with recurrent models โฆ
๐ Original Info Title: Blocked Clusterwise Regression ArXiv ID: 2001.11130 Date: 2020-01-31 Authors: Max Cytrynbaum ๐ Abstract A recent literature in econometrics models unobserved cross-sectional heterogeneity in panel data by assigning each โฆ
๐ Original Info Title: Analyzing the Noise Robustness of Deep Neural Networks ArXiv ID: 2001.09395 Date: 2020-01-29 Authors: Kelei Cao, Mengchen Liu, Hang Su, Jing Wu, Jun Zhu, Shixia Liu ๐ Abstract Adversarial examples, generated by adding small but โฆ
๐ Original Info Title: I Feel I Feel You: A Theory of Mind Experiment in Games ArXiv ID: 2001.08656 Date: 2020-01-24 Authors: David Melhart, Georgios N. Yannakakis, Antonios Liapis ๐ Abstract In this study into the player's emotional theory of mind โฆ
๐ Original Info Title: AppStreamer: Reducing Storage Requirements of Mobile Games through Predictive Streaming ArXiv ID: 2001.08169 Date: 2020-01-23 Authors: Nawanol Theera-Ampornpunt, Shikhar Suryavansh, Sameer Manchanda, Rajesh Panta, Kaustubh โฆ
๐ Original Info Title: A Comprehensive Study on Temporal Modeling for Online Action Detection ArXiv ID: 2001.07501 Date: 2020-01-22 Authors: Wen Wang, Xiaojiang Peng, Yu Qiao, Jian Cheng ๐ Abstract Online action detection (OAD) is a practical yet โฆ
๐ Original Info Title: Provable Benefit of Orthogonal Initialization in Optimizing Deep Linear Networks ArXiv ID: 2001.05992 Date: 2020-01-17 Authors: Wei Hu, Lechao Xiao, Jeffrey Pennington ๐ Abstract The selection of initial parameter values for โฆ
๐ Original Info Title: A Supervised Learning Algorithm for Multilayer Spiking Neural Networks Based on Temporal Coding Toward Energy-Efficient VLSI Processor Design ArXiv ID: 2001.05348 Date: 2020-01-16 Authors: Yusuke Sakemi, Kai Morino, Takashi โฆ
๐ Original Info Title: On Demand Solid Texture Synthesis Using Deep 3D Networks ArXiv ID: 2001.04528 Date: 2020-01-15 Authors: Jorge Gutierrez, Julien Rabin, Bruno Galerne, Thomas Hurtut ๐ Abstract This paper describes a novel approach for on demand โฆ
๐ Original Info Title: Pruning Convolutional Neural Networks with Self-Supervision ArXiv ID: 2001.03554 Date: 2020-01-13 Authors: Mathilde Caron, Ari Morcos, Piotr Bojanowski, Julien Mairal and Armand Joulin ๐ Abstract Convolutional neural networks โฆ
๐ Original Info Title: BARISTA: Efficient and Scalable Serverless Serving System for Deep Learning Prediction Services ArXiv ID: 1904.01576 Date: 2019-12-30 Authors: Anirban Bhattacharjee, Ajay Dev Chhokra, Zhuangwei Kang, Hongyang Sun, Aniruddha โฆ
๐ Original Info Title: Join Query Optimization with Deep Reinforcement Learning Algorithms ArXiv ID: 1911.11689 Date: 2019-11-27 Authors: Jonas Heitz, Kurt Stockinger ๐ Abstract Join query optimization is a complex task and is central to the โฆ
๐ Original Info Title: Approximate Query Processing using Deep Generative Models ArXiv ID: 1903.10000 Date: 2019-11-20 Authors: Saravanan Thirumuruganathan, Shohedul Hasan, Nick Koudas, Gautam Das ๐ Abstract Data is generated at an unprecedented rate โฆ
๐ Original Info Title: An introduction to decentralized stochastic optimization with gradient tracking ArXiv ID: 1907.09648 Date: 2019-11-14 Authors: Ran Xin and Soummya Kar and Usman A. Khan ๐ Abstract Decentralized solutions to finite-sum โฆ
๐ Original Info Title: On Exact Computation with an Infinitely Wide Neural Net ArXiv ID: 1904.11955 Date: 2019-11-05 Authors: Sanjeev Arora, Simon S. Du, Wei Hu, Zhiyuan Li, Ruslan Salakhutdinov, Ruosong Wang ๐ Abstract How well does a classic deep โฆ
๐ Original Info Title: Neural Turtle Graphics for Modeling City Road Layouts ArXiv ID: 1910.02055 Date: 2019-10-07 Authors: Hang Chu, Daiqing Li, David Acuna, Amlan Kar, Maria Shugrina, Xinkai Wei, Ming-Yu Liu, Antonio Torralba, Sanja Fidler ๐ โฆ
๐ Original Info Title: Audio Source Separation Using Variational Autoencoders and Weak Class Supervision ArXiv ID: 1810.13104 Date: 2019-08-06 Authors: Ertuu{g} Karamatl{i}, Ali Taylan Cemgil, Serap K{i}rb{i}z ๐ Abstract In this paper, we propose a โฆ
๐ Original Info Title: sql4ml A declarative end-to-end workflow for machine learning ArXiv ID: 1907.12415 Date: 2019-08-05 Authors: Nantia Makrynioti, Ruy Ley-Wild, Vasilis Vassalos ๐ Abstract We present sql4ml, a system for expressing supervised โฆ
๐ Original Info Title: Multi-Task Regression-based Learning for Autonomous Unmanned Aerial Vehicle Flight Control within Unstructured Outdoor Environments ArXiv ID: 1907.08320 Date: 2019-07-22 Authors: Bruna G. Maciel-Pearson, Samet Akcay, Amir โฆ
๐ Original Info Title: A New Approach to Distributed Hypothesis Testing and Non-Bayesian Learning: Improved Learning Rate and Byzantine-Resilience ArXiv ID: 1907.03588 Date: 2019-07-09 Authors: Aritra Mitra, John A. Richards and Shreyas Sundaram ๐ โฆ
๐ Original Info Title: Mining Closed Episodes with Simultaneous Events ArXiv ID: 1904.08741 Date: 2019-04-19 Authors: Nikolaj Tatti, Boris Cule ๐ Abstract Sequential pattern discovery is a well-studied field in data mining. Episodes are sequential โฆ
๐ Original Info Title: Probabilistic Permutation Synchronization using the Riemannian Structure of the Birkhoff Polytope ArXiv ID: 1904.05814 Date: 2019-04-12 Authors: Tolga Birdal and Umut c{S}imc{s}ekli ๐ Abstract We present an entirely new โฆ
๐ Original Info Title: Using Structured Input and Modularity for Improved Learning ArXiv ID: 1903.12366 Date: 2019-04-01 Authors: Zehra Sura, Tong Chen, and Hyojin Sung ๐ Abstract We describe a method for utilizing the known structure of input data โฆ
๐ Original Info Title: A Survey of Learning in Multiagent Environments: Dealing with Non-Stationarity ArXiv ID: 1707.09183 Date: 2019-03-13 Authors: Pablo Hernandez-Leal, Michael Kaisers, Tim Baarslag and Enrique Munoz de Cote ๐ Abstract The key โฆ
๐ Original Info Title: Private PAC learning implies finite Littlestone dimension ArXiv ID: 1806.00949 Date: 2019-03-11 Authors: Noga Alon and Roi Livni and Maryanthe Malliaris and Shay Moran ๐ Abstract We show that every approximately differentially โฆ
๐ Original Info Title: A Parallel Projection Method for Metric Constrained Optimization ArXiv ID: 1901.10084 Date: 2019-01-30 Authors: Cameron Ruggles and Nate Veldt and David F. Gleich ๐ Abstract Many clustering applications in machine learning and โฆ
๐ Original Info Title: Managing App Install Ad Campaigns in RTB: A Q-Learning Approach ArXiv ID: 1811.04475 Date: 2018-11-13 Authors: Anit Kumar Sahu, Shaunak Mishra, Narayan Bhamidipati ๐ Abstract Real time bidding (RTB) enables demand side โฆ
๐ Original Info Title: Successive Convex Approximation Algorithms for Sparse Signal Estimation with Nonconvex Regularizations ArXiv ID: 1806.10773 Date: 2018-10-26 Authors: Yang Yang and Marius Pesavento and Symeon Chatzinotas and Bj’orn โฆ
๐ Original Info Title: Optimization of a SSPs Header Bidding Strategy using Thompson Sampling ArXiv ID: 1807.03299 Date: 2018-07-11 Authors: Gregoire Jauvion, Nicolas Grislain, Pascal Sielenou Dkengne (IMT), Aurelien Garivier (IMT), Sebastien โฆ
๐ Original Info Title: Surface Networks ArXiv ID: 1705.10819 Date: 2018-06-19 Authors: Ilya Kostrikov, Zhongshi Jiang, Daniele Panozzo, Denis Zorin, Joan Bruna ๐ Abstract We study data-driven representations for three-dimensional triangle meshes, โฆ
๐ Original Info Title: Phocas: dimensional Byzantine-resilient stochastic gradient descent ArXiv ID: 1805.09682 Date: 2018-05-25 Authors: Cong Xie, Oluwasanmi Koyejo, Indranil Gupta ๐ Abstract We propose a novel robust aggregation rule for โฆ
๐ Original Info Title: Predicting Movie Genres Based on Plot Summaries ArXiv ID: 1801.04813 Date: 2018-01-16 Authors: Quan Hoang ๐ Abstract This project explores several Machine Learning methods to predict movie genres based on plot summaries. Naive โฆ
๐ Original Info Title: Generic 3D Representation via Pose Estimation and Matching ArXiv ID: 1710.08247 Date: 2017-10-24 Authors: Amir R. Zamir, Tilman Wekel, Pulkit Argrawal, Colin Weil, Jitendra Malik, Silvio Savarese ๐ Abstract Though a large body โฆ
๐ Original Info Title: Machine Teaching: A New Paradigm for Building Machine Learning Systems ArXiv ID: 1707.06742 Date: 2017-08-14 Authors: Patrice Y. Simard, Saleema Amershi, David M. Chickering, Alicia Edelman Pelton, Soroush Ghorashi, Christopher โฆ
๐ Original Info Title: IISCNLP at SemEval-2016 Task 2: Interpretable STS with ILP based Multiple Chunk Aligner ArXiv ID: 1605.01194 Date: 2016-05-05 Authors: Lavanya Sita Tekumalla and Sharmistha ๐ Abstract Interpretable semantic textual similarity โฆ
๐ Original Info Title: Visualizing Large-scale and High-dimensional Data ArXiv ID: 1602.00370 Date: 2016-04-06 Authors: Jian Tang, Jingzhou Liu, Ming Zhang and Qiaozhu Mei ๐ Abstract We study the problem of visualizing large-scale and highdimensional โฆ
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