Paper List

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Summary of Synhing: Synthetic Heterogeneous Information Network Generation For Graph Learning and Explanation, by Ming-yi Hong et al.
Summary of Global-aware Enhanced Spatial-temporal Graph Recurrent Networks: a New Framework For Traffic Flow Prediction, by Haiyang Liu et al.
Summary of Ccnets: a Novel Brain-inspired Approach For Enhanced Pattern Recognition in Imbalanced Datasets, by Hanbeot Park (1) et al.
Summary of Overview Of the 2023 Icon Shared Task on Gendered Abuse Detection in Indic Languages, by Aatman Vaidya et al.
Summary of A Large-scale Empirical Study on Improving the Fairness Of Image Classification Models, by Junjie Yang et al.
Summary of Universal Time-series Representation Learning: a Survey, by Patara Trirat et al.
Summary of From Data to Insights: a Comprehensive Survey on Advanced Applications in Thyroid Cancer Research, by Xinyu Zhang et al.
Summary of Towards Efficient Communication and Secure Federated Recommendation System Via Low-rank Training, by Ngoc-hieu Nguyen et al.
Summary of Lessons Learned: Reproducibility, Replicability, and When to Stop, by Milton S. Gomez et al.
Summary of Adaptive Experimental Design For Policy Learning, by Masahiro Kato and Kyohei Okumura and Takuya Ishihara and Toru Kitagawa
Summary of Corn Yield Prediction Model with Deep Neural Networks For Smallholder Farmer Decision Support System, by Chollette C. Olisah et al.
Summary of Long-term Safe Reinforcement Learning with Binary Feedback, by Akifumi Wachi et al.
Summary of Identifying Important Group Of Pixels Using Interactions, by Kosuke Sumiyasu et al.
Summary of Inferring Properties Of Graph Neural Networks, by Dat Nguyen (1) et al.
Summary of Monitoring Water Contaminants in Coastal Areas Through Ml Algorithms Leveraging Atmospherically Corrected Sentinel-2 Data, by Francesca Razzano et al.
Summary of A Foundation For Exact Binarized Morphological Neural Networks, by Theodore Aouad et al.
Summary of A Topological Description Of Loss Surfaces Based on Betti Numbers, by Maria Sofia Bucarelli et al.
Summary of We Need to Talk About Classification Evaluation Metrics in Nlp, by Peter Vickers et al.
Summary of Ufo: Unidentified Foreground Object Detection in 3d Point Cloud, by Hyunjun Choi et al.
Summary of A Tensor Network Implementation Of Multi Agent Reinforcement Learning, by Sunny Howard
Summary of Inverse Reinforcement Learning with Sub-optimal Experts, by Riccardo Poiani et al.
Summary of Using Reinforcement Learning to Improve Drone-based Inference Of Greenhouse Gas Fluxes, by Alouette Van Hove et al.
Summary of Tiny Time Mixers (ttms): Fast Pre-trained Models For Enhanced Zero/few-shot Forecasting Of Multivariate Time Series, by Vijay Ekambaram et al.
Summary of Conv_einsum: a Framework For Representation and Fast Evaluation Of Multilinear Operations in Convolutional Tensorial Neural Networks, by Tahseen Rabbani et al.
Summary of Predicting the Skies: a Novel Model For Flight-level Passenger Traffic Forecasting, by Sina Ehsani et al.
Summary of Engineering Features to Improve Pass Prediction in Soccer Simulation 2d Games, by Nader Zare et al.
Summary of Data-driven Subsampling in the Presence Of An Adversarial Actor, by Abu Shafin Mohammad Mahdee Jameel et al.
Summary of Decentralized Federated Policy Gradient with Byzantine Fault-tolerance and Provably Fast Convergence, by Philip Jordan et al.
Summary of Uncertainty Quantification on Clinical Trial Outcome Prediction, by Tianyi Chen et al.
Summary of A Gaussian Process Framework For Solving Forward and Inverse Problems Involving Nonlinear Partial Differential Equations, by Carlos Mora et al.
Summary of Pre-insertion Resistors Temperature Prediction Based on Improved Woa-svr, by Honghe Dai et al.
Summary of Charpoet: a Chinese Classical Poetry Generation System Based on Token-free Llm, by Chengyue Yu et al.
Summary of Roberturk: Adjusting Roberta For Turkish, by Nuri Tas
Summary of Physics-informed Neural Networks For Encoding Dynamics in Real Physical Systems, by Hamza Alsharif
Summary of Glocalfair: Jointly Improving Global and Local Group Fairness in Federated Learning, by Syed Irfan Ali Meerza et al.
Summary of Agent Ai: Surveying the Horizons Of Multimodal Interaction, by Zane Durante et al.
Summary of Detecting Anomalies in Blockchain Transactions Using Machine Learning Classifiers and Explainability Analysis, by Mohammad Hasan et al.
Summary of Few-shot Causal Representation Learning For Out-of-distribution Generalization on Heterogeneous Graphs, by Pengfei Ding and Yan Wang and Guanfeng Liu and Nan Wang and Xiaofang Zhou
Summary of Unifying Graph Contrastive Learning Via Graph Message Augmentation, by Ziyan Zhang et al.
Summary of Aa-dladmm: An Accelerated Admm-based Framework For Training Deep Neural Networks, by Zeinab Ebrahimi et al.
Summary of Multi-modal Federated Learning For Cancer Staging Over Non-iid Datasets with Unbalanced Modalities, by Kasra Borazjani and Naji Khosravan and Leslie Ying and Seyyedali Hosseinalipour
Summary of Evaluating Brain-inspired Modular Training in Automated Circuit Discovery For Mechanistic Interpretability, by Jatin Nainani
Summary of Logits Poisoning Attack in Federated Distillation, by Yuhan Tang et al.
Summary of Preserving Silent Features For Domain Generalization, by Chujie Zhao et al.
Summary of Learning Persistent Community Structures in Dynamic Networks Via Topological Data Analysis, by Dexu Kong et al.
Summary of Decision Making in Non-stationary Environments with Policy-augmented Search, by Ava Pettet et al.
Summary of Learning-augmented K-means Clustering Using Dimensional Reduction, by Issam K.o Jabari et al.
Summary of A Robbins–monro Sequence That Can Exploit Prior Information For Faster Convergence, by Siwei Liu and Ke Ma and Stephan M. Goetz
Summary of Understanding Representation Learnability Of Nonlinear Self-supervised Learning, by Ruofeng Yang et al.
Summary of End-to-end Anti-backdoor Learning on Images and Time Series, by Yujing Jiang et al.
Summary of Fedtgp: Trainable Global Prototypes with Adaptive-margin-enhanced Contrastive Learning For Data and Model Heterogeneity in Federated Learning, by Jianqing Zhang et al.
Summary of Convergence Rate Maximization For Split Learning-based Control Of Emg Prosthetic Devices, by Matea Marinova et al.
Summary of Interpreting Adaptive Gradient Methods by Parameter Scaling For Learning-rate-free Optimization, By Min-kook Suh and Seung-woo Seo
Summary of Seqnas: Neural Architecture Search For Event Sequence Classification, by Igor Udovichenko et al.
Summary of Vllavo: Mitigating Visual Gap Through Llms, by Shuhao Chen et al.
Summary of On Sample-efficient Offline Reinforcement Learning: Data Diversity, Posterior Sampling, and Beyond, by Thanh Nguyen-tang and Raman Arora
Summary of Moto: Offline Pre-training to Online Fine-tuning For Model-based Robot Learning, by Rafael Rafailov et al.
Summary of Enhancing Context Through Contrast, by Kshitij Ambilduke et al.
Summary of Attention and Autoencoder Hybrid Model For Unsupervised Online Anomaly Detection, by Seyed Amirhossein Najafi et al.
Summary of Weakly Augmented Variational Autoencoder in Time Series Anomaly Detection, by Zhangkai Wu et al.
Summary of Walnut Detection Through Deep Learning Enhanced by Multispectral Synthetic Images, By Kaiming Fu et al.
Summary of Image Inpainting Via Tractable Steering Of Diffusion Models, by Anji Liu et al.
Summary of Accurate and Scalable Estimation Of Epistemic Uncertainty For Graph Neural Networks, by Puja Trivedi et al.
Summary of Reliability-optimized User Admission Control For Urllc Traffic: a Neural Contextual Bandit Approach, by Omid Semiari et al.
Summary of On the Stability Of a Non-hyperbolic Nonlinear Map with Non-bounded Set Of Non-isolated Fixed Points with Applications to Machine Learning, by Roberta Hansen et al.
Summary of Energy-efficient Decentralized Learning Via Graph Sparsification, by Xusheng Zhang et al.
Summary of Consensus-threshold Criterion For Offline Signature Verification Using Convolutional Neural Network Learned Representations, by Paul Brimoh et al.
Summary of A Topology-aware Graph Coarsening Framework For Continual Graph Learning, by Xiaoxue Han et al.
Summary of Adaptive Boosting with Fairness-aware Reweighting Technique For Fair Classification, by Xiaobin Song et al.
Summary of When to Grow? a Fitting Risk-aware Policy For Layer Growing in Deep Neural Networks, by Haihang Wu et al.
Summary of Glisp: a Scalable Gnn Learning System by Exploiting Inherent Structural Properties Of Graphs, By Zhongshu Zhu et al.
Summary of A Physics-guided Generative Ai Toolkit For Geophysical Monitoring, by Junhuan Yang et al.
Summary of Timegraphs: Graph-based Temporal Reasoning, by Paridhi Maheshwari et al.
Summary of Spqr: Controlling Q-ensemble Independence with Spiked Random Model For Reinforcement Learning, by Dohyeok Lee et al.
Summary of Teltrans: Applying Multi-type Telecom Data to Transportation Evaluation and Prediction Via Multifaceted Graph Modeling, by Chungyi Lin et al.
Summary of Fair Sampling in Diffusion Models Through Switching Mechanism, by Yujin Choi et al.
Summary of Controllable Image Synthesis Of Industrial Data Using Stable Diffusion, by Gabriele Valvano et al.
Summary of Data-dependent Stability Analysis Of Adversarial Training, by Yihan Wang and Shuang Liu and Xiao-shan Gao
Summary of Distributed Client Selection with Multi-objective in Federated Learning Assisted Internet Of Vehicles, by Narisu Cha and Long Chang
Summary of Haim-drl: Enhanced Human-in-the-loop Reinforcement Learning For Safe and Efficient Autonomous Driving, by Zilin Huang et al.
Summary of An Empirical Investigation Of Value-based Multi-objective Reinforcement Learning For Stochastic Environments, by Kewen Ding et al.
Summary of Exploration Of Adolescent Depression Risk Prediction Based on Census Surveys and General Life Issues, by Qiang Li et al.
Summary of Part-of-speech Tagger For Bodo Language Using Deep Learning Approach, by Dhrubajyoti Pathak et al.
Summary of Fairness-aware Job Scheduling For Multi-job Federated Learning, by Yuxin Shi et al.
Summary of Denoising Diffusion Variational Inference: Diffusion Models As Expressive Variational Posteriors, by Top Piriyakulkij et al.
Summary of Powerformer: a Section-adaptive Transformer For Power Flow Adjustment, by Kaixuan Chen and Wei Luo and Shunyu Liu and Yaoquan Wei and Yihe Zhou and Yunpeng Qing and Quan Zhang and Jie Song and Mingli Song
Summary of Tackling Electrode Shift in Gesture Recognition with Hd-emg Electrode Subsets, by Joao Pereira et al.
Summary of Weakly Semi-supervised Tool Detection in Minimally Invasive Surgery Videos, by Ryo Fujii and Ryo Hachiuma and Hideo Saito
Summary of Physics-informed Neural Networks For High-frequency and Multi-scale Problems Using Transfer Learning, by Abdul Hannan Mustajab et al.
Summary of Generating Non-stationary Textures Using Self-rectification, by Yang Zhou et al.
Summary of Framework For Variable-lag Motif Following Relation Inference in Time Series Using Matrix Profile Analysis, by Naaek Chinpattanakarn and Chainarong Amornbunchornvej
Summary of H2g2-net: a Hierarchical Heterogeneous Graph Generative Network Framework For Discovery Of Multi-modal Physiological Responses, by Haidong Gu et al.
Summary of A Unified Uncertainty-aware Exploration: Combining Epistemic and Aleatory Uncertainty, by Parvin Malekzadeh et al.
Summary of Nonlinear Functional Regression by Functional Deep Neural Network with Kernel Embedding, By Zhongjie Shi et al.
Summary of Dagma-dce: Interpretable, Non-parametric Differentiable Causal Discovery, by Daniel Waxman and Kurt Butler and Petar M. Djuric
Summary of Class-wise Generalization Error: An Information-theoretic Analysis, by Firas Laakom et al.
Summary of Graph2tac: Online Representation Learning Of Formal Math Concepts, by Lasse Blaauwbroek et al.
Summary of Deepseek Llm: Scaling Open-source Language Models with Longtermism, by Deepseek-ai: Xiao Bi et al.
Summary of Glide-rl: Grounded Language Instruction Through Demonstration in Rl, by Chaitanya Kharyal and Sai Krishna Gottipati and Tanmay Kumar Sinha and Srijita Das and Matthew E. Taylor
Summary of A Surrogate-assisted Extended Generative Adversarial Network For Parameter Optimization in Free-form Metasurface Design, by Manna Dai et al.