Paper List

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Summary of Fedcrl: Personalized Federated Learning with Contrastive Shared Representations For Label Heterogeneity in Non-iid Data, by Chenghao Huang et al.
Summary of Accurate and Fast Anomaly Detection in Industrial Processes and Iot Environments, by Simone Tonini (1) et al.
Summary of Critical Review For One-class Classification: Recent Advances and the Reality Behind Them, by Toshitaka Hayashi et al.
Summary of Dtization: a New Method For Supervised Feature Scaling, by Niful Islam
Summary of Bridging the Fairness Divide: Achieving Group and Individual Fairness in Graph Neural Networks, by Duna Zhan et al.
Summary of Large Language Model Agent As a Mechanical Designer, by Yayati Jadhav et al.
Summary of Using Neural Implicit Flow to Represent Latent Dynamics Of Canonical Systems, by Imran Nasim et al.
Summary of Probabilistic Inference in Language Models Via Twisted Sequential Monte Carlo, by Stephen Zhao et al.
Summary of An Exactly Solvable Model For Emergence and Scaling Laws in the Multitask Sparse Parity Problem, by Yoonsoo Nam et al.
Summary of Cosd: Collaborative Stance Detection with Contrastive Heterogeneous Topic Graph Learning, by Yinghan Cheng et al.
Summary of Neural Modes: Self-supervised Learning Of Nonlinear Modal Subspaces, by Jiahong Wang et al.
Summary of Alice’s Adventures in a Differentiable Wonderland — Volume I, a Tour Of the Land, by Simone Scardapane
Summary of Using Pre-training and Interaction Modeling For Ancestry-specific Disease Prediction in Uk Biobank, by Thomas Le Menestrel et al.
Summary of A Conditional Independence Test in the Presence Of Discretization, by Boyang Sun et al.
Summary of Hard Ash: Sparsity and the Right Optimizer Make a Continual Learner, by Santtu Keskinen
Summary of Learning Manipulation Tasks in Dynamic and Shared 3d Spaces, by Hariharan Arunachalam et al.
Summary of Center-based Relaxed Learning Against Membership Inference Attacks, by Xingli Fang and Jung-eun Kim
Summary of Knowledge Transfer For Cross-domain Reinforcement Learning: a Systematic Review, by Sergio A. Serrano et al.
Summary of A Biased Estimator For Minmax Sampling and Distributed Aggregation, by Joel Wolfrath and Abhishek Chandra
Summary of Deep Learning For Melt Pool Depth Contour Prediction From Surface Thermal Images Via Vision Transformers, by Francis Ogoke et al.
Summary of Low-rank Matrix Bandits with Heavy-tailed Rewards, by Yue Kang et al.
Summary of Generative Dataset Distillation: Balancing Global Structure and Local Details, by Longzhen Li et al.
Summary of Causal Diffusion Autoencoders: Toward Counterfactual Generation Via Diffusion Probabilistic Models, by Aneesh Komanduri et al.
Summary of Adversarial Examples: Generation Proposal in the Context Of Facial Recognition Systems, by Marina Fuster et al.
Summary of Comparison Of Self-supervised In-domain and Supervised Out-domain Transfer Learning For Bird Species Recognition, by Houtan Ghaffari et al.
Summary of Efficient Deterministic Renewable Energy Forecasting Guided by Multiple-location Weather Data, By Charalampos Symeonidis and Nikos Nikolaidis
Summary of Machine Learning Based Prediction Of Vanadium Redox Flow Battery Temperature Rise Under Different Charge-discharge Conditions, by Anirudh Narayan D et al.
Summary of Lazy Data Practices Harm Fairness Research, by Jan Simson et al.
Summary of Fast Evaluation Of Additive Kernels: Feature Arrangement, Fourier Methods, and Kernel Derivatives, by Theresa Wagner et al.
Summary of On the Road to Clarity: Exploring Explainable Ai For World Models in a Driver Assistance System, by Mohamed Roshdi et al.
Summary of Adversarial Consistency and the Uniqueness Of the Adversarial Bayes Classifier, by Natalie S. Frank
Summary of Online Policy Learning and Inference by Matrix Completion, By Congyuan Duan et al.
Summary of M3bat: Unsupervised Domain Adaptation For Multimodal Mobile Sensing with Multi-branch Adversarial Training, by Lakmal Meegahapola et al.
Summary of Separation Capacity Of Linear Reservoirs with Random Connectivity Matrix, by Youness Boutaib
Summary of Uniform Generalization Bounds on Data-dependent Hypothesis Sets Via Pac-bayesian Theory on Random Sets, by Benjamin Dupuis et al.
Summary of Any-quantile Probabilistic Forecasting Of Short-term Electricity Demand, by Slawek Smyl et al.
Summary of A Continuous Relaxation For Discrete Bayesian Optimization, by Richard Michael et al.
Summary of Differentiable Pareto-smoothed Weighting For High-dimensional Heterogeneous Treatment Effect Estimation, by Yoichi Chikahara et al.
Summary of Domain Adaptive and Fine-grained Anomaly Detection For Single-cell Sequencing Data and Beyond, by Kaichen Xu et al.
Summary of Conformal Prediction with Learned Features, by Shayan Kiyani et al.
Summary of Multi-layer Random Features and the Approximation Power Of Neural Networks, by Rustem Takhanov
Summary of Low Cost Machine Vision For Insect Classification, by Danja Brandt and Martin Tschaikner et al.
Summary of Tabular Data Contrastive Learning Via Class-conditioned and Feature-correlation Based Augmentation, by Wei Cui and Rasa Hosseinzadeh and Junwei Ma and Tongzi Wu and Yi Sui and Keyvan Golestan
Summary of Causally Abstracted Multi-armed Bandits, by Fabio Massimo Zennaro et al.
Summary of A Closer Look at Classification Evaluation Metrics and a Critical Reflection Of Common Evaluation Practice, by Juri Opitz
Summary of Ml2sc: Deploying Machine Learning Models As Smart Contracts on the Blockchain, by Zhikai Li et al.
Summary of Idil: Imitation Learning Of Intent-driven Expert Behavior, by Sangwon Seo et al.
Summary of Learning Actionable Counterfactual Explanations in Large State Spaces, by Keziah Naggita and Matthew R. Walter and Avrim Blum
Summary of Unleashing the Potential Of Fractional Calculus in Graph Neural Networks with Frond, by Qiyu Kang and Kai Zhao and Qinxu Ding and Feng Ji and Xuhao Li and Wenfei Liang and Yang Song and Wee Peng Tay
Summary of Near to Mid-term Risks and Opportunities Of Open-source Generative Ai, by Francisco Eiras et al.
Summary of Mer 2024: Semi-supervised Learning, Noise Robustness, and Open-vocabulary Multimodal Emotion Recognition, by Zheng Lian et al.
Summary of Talking Nonsense: Probing Large Language Models’ Understanding Of Adversarial Gibberish Inputs, by Valeriia Cherepanova and James Zou
Summary of Text Sentiment Analysis and Classification Based on Bidirectional Gated Recurrent Units (grus) Model, by Wei Xu et al.
Summary of Deep Evidential Learning For Radiotherapy Dose Prediction, by Hai Siong Tan et al.
Summary of Sensor Response-time Reduction Using Long-short Term Memory Network Forecasting, by Simon J. Ward et al.
Summary of On the Federated Learning Framework For Cooperative Perception, by Zhenrong Zhang et al.
Summary of Dpgan: a Dual-path Generative Adversarial Network For Missing Data Imputation in Graphs, by Xindi Zheng et al.
Summary of Neuro-symbolic Embedding For Short and Effective Feature Selection Via Autoregressive Generation, by Nanxu Gong et al.
Summary of Optimizing Cycle Life Prediction Of Lithium-ion Batteries Via a Physics-informed Model, by Constantin-daniel Nicolae et al.
Summary of Fairgt: a Fairness-aware Graph Transformer, by Renqiang Luo et al.
Summary of Re-rfme: Real-estate Rfme Model For Customer Segmentation, by Anurag Kumar Pandey et al.
Summary of Mcsdnet: Mesoscale Convective System Detection Network Via Multi-scale Spatiotemporal Information, by Jiajun Liang et al.
Summary of An Explainable Deep Reinforcement Learning Model For Warfarin Maintenance Dosing Using Policy Distillation and Action Forging, by Sadjad Anzabi Zadeh et al.
Summary of Making Better Use Of Unlabelled Data in Bayesian Active Learning, by Freddie Bickford Smith et al.
Summary of Learning Control Barrier Functions and Their Application in Reinforcement Learning: a Survey, by Maeva Guerrier et al.
Summary of On Uncertainty-penalized Bayesian Information Criterion, by Pongpisit Thanasutives et al.
Summary of Thermopore: Predicting Part Porosity Based on Thermal Images Using Deep Learning, by Peter Myung-won Pak et al.
Summary of Aligning Knowledge Graphs Provided by Humans and Generated From Neural Networks in Specific Tasks, By Tangrui Li et al.
Summary of Adapting An Artificial Intelligence Sexually Transmitted Diseases Symptom Checker Tool For Mpox Detection: the Hehealth Experience, by Rayner Kay Jin Tan et al.
Summary of Review Of Data-centric Time Series Analysis From Sample, Feature, and Period, by Chenxi Sun et al.
Summary of Anomaly Detection For Incident Response at Scale, by Hanzhang Wang et al.
Summary of Nepenthe: Entropy-based Pruning As a Neural Network Depth’s Reducer, by Zhu Liao et al.
Summary of Automatic Ai Controller That Can Drive with Confidence: Steering Vehicle with Uncertainty Knowledge, by Neha Kumari et al.
Summary of Exploring Learngene Via Stage-wise Weight Sharing For Initializing Variable-sized Models, by Shi-yu Xia et al.
Summary of How to Parameterize Asymmetric Quantization Ranges For Quantization-aware Training, by Jaeseong You et al.
Summary of Mlr3summary: Concise and Interpretable Summaries For Machine Learning Models, by Susanne Dandl et al.
Summary of De-cgan: Boosting Rtms Treatment Prediction with Diversity Enhancing Conditional Generative Adversarial Networks, by Matthew Squires et al.
Summary of Closing the Gap: Optimizing Guidance and Control Networks Through Neural Odes, by Sebastien Origer et al.
Summary of Grad Queue : a Probabilistic Framework to Reinforce Sparse Gradients, by Irfan Mohammad Al Hasib
Summary of Prediction Is All Moe Needs: Expert Load Distribution Goes From Fluctuating to Stabilizing, by Peizhuang Cong et al.
Summary of A Short Survey Of Human Mobility Prediction in Epidemic Modeling From Transformers to Llms, by Christian N. Mayemba et al.
Summary of Online Data Augmentation For Forecasting with Deep Learning, by Vitor Cerqueira et al.
Summary of Taming False Positives in Out-of-distribution Detection with Human Feedback, by Harit Vishwakarma et al.
Summary of A Notion Of Uniqueness For the Adversarial Bayes Classifier, by Natalie S. Frank
Summary of Application Of Long-short Term Memory and Convolutional Neural Networks For Real-time Bridge Scour Prediction, by Tahrima Hashem et al.
Summary of Automated Model Selection For Generalized Linear Models, by Benjamin Schwendinger et al.
Summary of Robust Capped Lp-norm Support Vector Ordinal Regression, by Haorui Xiang et al.
Summary of Hippocrates: An Open-source Framework For Advancing Large Language Models in Healthcare, by Emre Can Acikgoz et al.
Summary of Privacy-preserving Statistical Data Generation: Application to Sepsis Detection, by Eric Macias-fassio and Aythami Morales and Cristina Pruenza and Julian Fierrez
Summary of Conditional Fairness For Generative Ais, by Chih-hong Cheng et al.
Summary of Layerskip: Enabling Early Exit Inference and Self-speculative Decoding, by Mostafa Elhoushi et al.
Summary of Distilling Privileged Information For Dubins Traveling Salesman Problems with Neighborhoods, by Min Kyu Shin et al.
Summary of History Repeats Itself: a Baseline For Temporal Knowledge Graph Forecasting, by Julia Gastinger et al.
Summary of Rebel: Reinforcement Learning Via Regressing Relative Rewards, by Zhaolin Gao et al.
Summary of Drs: Learning Reusable Dense Rewards For Multi-stage Tasks, by Tongzhou Mu et al.
Summary of Continual Learning Of Large Language Models: a Comprehensive Survey, by Haizhou Shi and Zihao Xu and Hengyi Wang and Weiyi Qin and Wenyuan Wang and Yibin Wang and Zifeng Wang and Sayna Ebrahimi and Hao Wang
Summary of Weak-to-strong Extrapolation Expedites Alignment, by Chujie Zheng et al.
Summary of In-context Freeze-thaw Bayesian Optimization For Hyperparameter Optimization, by Herilalaina Rakotoarison and Steven Adriaensen and Neeratyoy Mallik and Samir Garibov and Edward Bergman and Frank Hutter
Summary of Aapl: Adding Attributes to Prompt Learning For Vision-language Models, by Gahyeon Kim et al.
Summary of Leaf-based Plant Disease Detection and Explainable Ai, by Saurav Sagar and Mohammed Javed and David S Doermann