Paper List
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Summary of Capturing Momentum: Tennis Match Analysis Using Machine Learning and Time Series Theory, by Jingdi Lei et al.
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Summary of Client-centered Federated Learning For Heterogeneous Ehrs: Use Fewer Participants to Achieve the Same Performance, by Jiyoun Kim et al.
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Summary of Mergenet: Knowledge Migration Across Heterogeneous Models, Tasks, and Modalities, by Kunxi Li et al.
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Summary of Comparative Analysis on Snowmelt-driven Streamflow Forecasting Using Machine Learning Techniques, by Ukesh Thapa et al.
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Summary of Scalable Data Assimilation with Message Passing, by Oscar Key et al.
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Summary of Towards Robust Ferrous Scrap Material Classification with Deep Learning and Conformal Prediction, by Paulo Henrique Dos Santos et al.
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Summary of Goal Exploration Via Adaptive Skill Distribution For Goal-conditioned Reinforcement Learning, by Lisheng Wu et al.
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Summary of Optimizing Calibration by Gaining Aware Of Prediction Correctness, By Yuchi Liu et al.
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Summary of Stronger Random Baselines For In-context Learning, by Gregory Yauney and David Mimno
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Summary of Analysis Of Classifier-free Guidance Weight Schedulers, by Xi Wang et al.
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Summary of Data Alignment For Zero-shot Concept Generation in Dermatology Ai, by Soham Gadgil et al.
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Summary of Variational Bayesian Optimal Experimental Design with Normalizing Flows, by Jiayuan Dong et al.
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Summary of Towards Efficient Resume Understanding: a Multi-granularity Multi-modal Pre-training Approach, by Feihu Jiang et al.
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Summary of Empowering Interdisciplinary Research with Bert-based Models: An Approach Through Scibert-cnn with Topic Modeling, by Darya Likhareva et al.
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Summary of Relational Graph Convolutional Networks For Sentiment Analysis, by Asal Khosravi et al.
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Summary of Sure: Summarizing Retrievals Using Answer Candidates For Open-domain Qa Of Llms, by Jaehyung Kim et al.
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Summary of Efficient Contextual Llm Cascades Through Budget-constrained Policy Learning, by Xuechen Zhang et al.
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Summary of Demystifying Legalese: An Automated Approach For Summarizing and Analyzing Overlaps in Privacy Policies and Terms Of Service, by Shikha Soneji et al.
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Summary of Explainable Ai For Fair Sepsis Mortality Predictive Model, by Chia-hsuan Chang and Xiaoyang Wang and Christopher C. Yang
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Summary of Multiclass Roc, by Liang Wang et al.
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Summary of Transformer Based Planning in the Observation Space with Applications to Trick Taking Card Games, by Douglas Rebstock et al.
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Summary of Equivariant Imaging For Self-supervised Hyperspectral Image Inpainting, by Shuo Li et al.
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Summary of Enhancing Counterfactual Explanation Search with Diffusion Distance and Directional Coherence, by Marharyta Domnich et al.
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Summary of Generative Modelling with High-order Langevin Dynamics, by Ziqiang Shi and Rujie Liu
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Summary of Coin: Counterfactual Inpainting For Weakly Supervised Semantic Segmentation For Medical Images, by Dmytro Shvetsov et al.
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Summary of Ecor: Explainable Clip For Object Recognition, by Ali Rasekh et al.
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Summary of Explainable Deepfake Video Detection Using Convolutional Neural Network and Capsulenet, by Gazi Hasin Ishrak et al.
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Summary of Towards Logically Consistent Language Models Via Probabilistic Reasoning, by Diego Calanzone et al.
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Summary of Korea-sfl: Knowledge Replay-based Split Federated Learning Against Catastrophic Forgetting, by Zeke Xia and Ming Hu and Dengke Yan and Ruixuan Liu and Anran Li and Xiaofei Xie and Mingsong Chen
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Summary of Cabafl: Asynchronous Federated Learning Via Hierarchical Cache and Feature Balance, by Zeke Xia and Ming Hu and Dengke Yan and Xiaofei Xie and Tianlin Li and Anran Li and Junlong Zhou and Mingsong Chen
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Summary of A Guide to Feature Importance Methods For Scientific Inference, by Fiona Katharina Ewald et al.
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Summary of A Large-scale Medical Visual Task Adaptation Benchmark, by Shentong Mo et al.
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Summary of Mcm: Multi-condition Motion Synthesis Framework, by Zeyu Ling et al.
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Summary of Robust Clip-based Detector For Exposing Diffusion Model-generated Images, by Santosh et al.
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Summary of Learn2talk: 3d Talking Face Learns From 2d Talking Face, by Yixiang Zhuang et al.
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Summary of R3l: Relative Representations For Reinforcement Learning, by Antonio Pio Ricciardi et al.
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Summary of Zero-shot Medical Phrase Grounding with Off-the-shelf Diffusion Models, by Konstantinos Vilouras et al.
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Summary of Neural Flow Diffusion Models: Learnable Forward Process For Improved Diffusion Modelling, by Grigory Bartosh et al.
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Summary of Probabilistic Numeric Smc Sampling For Bayesian Nonlinear System Identification in Continuous Time, by Joe D. Longbottom et al.
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Summary of Is Retain Set All You Need in Machine Unlearning? Restoring Performance Of Unlearned Models with Out-of-distribution Images, by Jacopo Bonato et al.
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Summary of Towards Reliable Latent Knowledge Estimation in Llms: Zero-prompt Many-shot Based Factual Knowledge Extraction, by Qinyuan Wu et al.
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Summary of Zadeh’s Type-2 Fuzzy Logic Systems: Precision and High-quality Prediction Intervals, by Yusuf Guven et al.
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Summary of Enhancing Interval Type-2 Fuzzy Logic Systems: Learning For Precision and Prediction Intervals, by Ata Koklu et al.
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Summary of Textsquare: Scaling Up Text-centric Visual Instruction Tuning, by Jingqun Tang et al.
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Summary of Contrastive Learning and Mixture Of Experts Enables Precise Vector Embeddings, by Logan Hallee et al.
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Summary of A Study Of Acquisition Functions For Medical Imaging Deep Active Learning, by Bonaventure F. P. Dossou
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Summary of Bayesian Nonparametrics Meets Data-driven Distributionally Robust Optimization, by Nicola Bariletto et al.
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Summary of Fine-tuned Large Language Models For Symptom Recognition From Spanish Clinical Text, by Mai A. Shaaban et al.
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Summary of Real-time Object Detection and Robotic Manipulation For Agriculture Using a Yolo-based Learning Approach, by Hongyu Zhao et al.
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Summary of Evaluation Of K-means Time Series Clustering Based on Z-normalization and Np-free, by Ming-chang Lee et al.
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Summary of Statistical Significance Of Feature Importance Rankings, by Jeremy Goldwasser and Giles Hooker
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Summary of On the Statistical Properties Of Generative Adversarial Models For Low Intrinsic Data Dimension, by Saptarshi Chakraborty and Peter L. Bartlett
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Summary of Distributed Markov Chain Monte Carlo Sampling Based on the Alternating Direction Method Of Multipliers, by Alexandros E. Tzikas et al.
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Summary of A Deep Q-network Based on Radial Basis Functions For Multi-echelon Inventory Management, by Liqiang Cheng et al.
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Summary of Importance-aware Adaptive Dataset Distillation, by Guang Li et al.
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Summary of Sliced Wasserstein with Random-path Projecting Directions, by Khai Nguyen and Shujian Zhang and Tam Le and Nhat Ho
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Summary of Probabilistic Guarantees Of Stochastic Recursive Gradient in Non-convex Finite Sum Problems, by Yanjie Zhong et al.
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Summary of Enhancing Topological Dependencies in Spatio-temporal Graphs with Cycle Message Passing Blocks, by Minho Lee et al.
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Summary of Toward the Identifiability Of Comparative Deep Generative Models, by Romain Lopez et al.
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Summary of Blockchain-enabled Trustworthy Federated Unlearning, by Yijing Lin et al.
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Summary of A Class-aware Optimal Transport Approach with Higher-order Moment Matching For Unsupervised Domain Adaptation, by Tuan Nguyen et al.
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Summary of Scalable Federated Unlearning Via Isolated and Coded Sharding, by Yijing Lin et al.
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Summary of Spatio-temporal Attention Graph Neural Network For Remaining Useful Life Prediction, by Zhixin Huang and Yujiang He and Bernhard Sick
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Summary of Unsupervised Solution Operator Learning For Mean-field Games Via Sampling-invariant Parametrizations, by Han Huang et al.