Paper List

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Summary of Structure-preserving Network Compression Via Low-rank Induced Training Through Linear Layers Composition, by Xitong Zhang et al.
Summary of Research on Image Recognition Technology Based on Multimodal Deep Learning, by Jinyin Wang et al.
Summary of To Each (textual Sequence) Its Own: Improving Memorized-data Unlearning in Large Language Models, by George-octavian Barbulescu et al.
Summary of Loss Jump During Loss Switch in Solving Pdes with Neural Networks, by Zhiwei Wang et al.
Summary of Understanding Server-assisted Federated Learning in the Presence Of Incomplete Client Participation, by Haibo Yang et al.
Summary of Tk-planes: Tiered K-planes with High Dimensional Feature Vectors For Dynamic Uav-based Scenes, by Christopher Maxey et al.
Summary of Sub-goal Distillation: a Method to Improve Small Language Agents, by Maryam Hashemzadeh et al.
Summary of Beyond Unimodal Learning: the Importance Of Integrating Multiple Modalities For Lifelong Learning, by Fahad Sarfraz et al.
Summary of Assessing Adversarial Robustness Of Large Language Models: An Empirical Study, by Zeyu Yang et al.
Summary of Linear Convergence Of Independent Natural Policy Gradient in Games with Entropy Regularization, by Youbang Sun et al.
Summary of Get More For Less: Principled Data Selection For Warming Up Fine-tuning in Llms, by Feiyang Kang et al.
Summary of Linear Noise Approximation Assisted Bayesian Inference on Mechanistic Model Of Partially Observed Stochastic Reaction Network, by Wandi Xu and Wei Xie
Summary of Mmearth: Exploring Multi-modal Pretext Tasks For Geospatial Representation Learning, by Vishal Nedungadi et al.
Summary of Philhumans: Benchmarking Machine Learning For Personal Health, by Vadim Liventsev et al.
Summary of Adapting to Distribution Shift by Visual Domain Prompt Generation, By Zhixiang Chi et al.
Summary of Graph As Point Set, by Xiyuan Wang et al.
Summary of Is Flash Attention Stable?, by Alicia Golden et al.
Summary of Verlet Flows: Exact-likelihood Integrators For Flow-based Generative Models, by Ezra Erives et al.
Summary of Kinematic Analysis Of Structural Mechanics Based on Convolutional Neural Network, by Leye Zhang et al.
Summary of Stochastic Rag: End-to-end Retrieval-augmented Generation Through Expected Utility Maximization, by Hamed Zamani and Michael Bendersky
Summary of Data-efficient Molecular Generation with Hierarchical Textual Inversion, by Seojin Kim et al.
Summary of Revisiting a Pain in the Neck: Semantic Phrase Processing Benchmark For Language Models, by Yang Liu et al.
Summary of Iceformer: Accelerated Inference with Long-sequence Transformers on Cpus, by Yuzhen Mao et al.
Summary of Fedconpe: Efficient Federated Conversational Bandits with Heterogeneous Clients, by Zhuohua Li et al.
Summary of Advanced Equalization in 112 Gb/s Upstream Pon Using a Novel Fourier Convolution-based Network, by Chen Shao et al.
Summary of Contrastive Dual-interaction Graph Neural Network For Molecular Property Prediction, by Zexing Zhao et al.
Summary of Learning Linear Utility Functions From Pairwise Comparison Queries, by Luise Ge et al.
Summary of Onboard Out-of-calibration Detection Of Deep Learning Models Using Conformal Prediction, by Protim Bhattacharjee and Peter Jung
Summary of Unsupervised Machine Learning For Data-driven Rock Mass Classification: Addressing Limitations in Existing Systems Using Drilling Data, by T. F. Hansen et al.
Summary of Privsgp-vr: Differentially Private Variance-reduced Stochastic Gradient Push with Tight Utility Bounds, by Zehan Zhu et al.
Summary of Machine Learning in Space: Surveying the Robustness Of On-board Ml Models to Radiation, by Kevin Lange et al.
Summary of Interpretable Multi-view Clustering, by Mudi Jiang et al.
Summary of A Conformal Prediction Score That Is Robust to Label Noise, by Coby Penso and Jacob Goldberger
Summary of Generic Multi-modal Representation Learning For Network Traffic Analysis, by Luca Gioacchini et al.
Summary of From Generalization Analysis to Optimization Designs For State Space Models, by Fusheng Liu et al.
Summary of Position: Quo Vadis, Unsupervised Time Series Anomaly Detection?, by M. Saquib Sarfraz et al.
Summary of Dde-find: Learning Delay Differential Equations From Noisy, Limited Data, by Robert Stephany
Summary of Fedprok: Trustworthy Federated Class-incremental Learning Via Prototypical Feature Knowledge Transfer, by Xin Gao et al.
Summary of Semi-supervised Symmetric Non-negative Matrix Factorization with Low-rank Tensor Representation, by Yuheng Jia et al.
Summary of Stable Diffusion Dataset Generation For Downstream Classification Tasks, by Eugenio Lomurno et al.
Summary of Identification Of Novel Modes in Generative Models Via Fourier-based Differential Clustering, by Jingwei Zhang et al.
Summary of A Mathematical Model Of the Hidden Feedback Loop Effect in Machine Learning Systems, by Andrey Veprikov et al.
Summary of Taming Equilibrium Bias in Risk-sensitive Multi-agent Reinforcement Learning, by Yingjie Fei et al.
Summary of Systematic Review: Anomaly Detection in Connected and Autonomous Vehicles, by J. R. V. Solaas et al.
Summary of Enhancing Social Media Post Popularity Prediction with Visual Content, by Dahyun Jeong et al.
Summary of Robustness Of Decentralised Learning to Nodes and Data Disruption, by Luigi Palmieri et al.
Summary of Efficient Deep Learning with Decorrelated Backpropagation, by Sander Dalm et al.
Summary of Deep Learning and Transfer Learning Architectures For English Premier League Player Performance Forecasting, by Daniel Frees et al.
Summary of A Unified Framework For Human-allied Learning Of Probabilistic Circuits, by Athresh Karanam et al.
Summary of Learning Minimal Volume Uncertainty Ellipsoids, by Itai Alon et al.
Summary of Quality-weighted Vendi Scores and Their Application to Diverse Experimental Design, by Quan Nguyen and Adji Bousso Dieng
Summary of Proximal Curriculum with Task Correlations For Deep Reinforcement Learning, by Georgios Tzannetos et al.
Summary of Continuous Learned Primal Dual, by Christina Runkel et al.
Summary of A Survey Of Few-shot Learning For Biomedical Time Series, by Chenqi Li et al.
Summary of Modelling Sampling Distributions Of Test Statistics with Autograd, by Ali Al Kadhim and Harrison B. Prosper
Summary of Understanding the Difficulty Of Solving Cauchy Problems with Pinns, by Tao Wang et al.
Summary of A Multi-domain Multi-task Approach For Feature Selection From Bulk Rna Datasets, by Karim Salta et al.
Summary of Decoupling Exploration and Exploitation For Unsupervised Pre-training with Successor Features, by Jaeyoon Kim et al.
Summary of Off-oab: Off-policy Policy Gradient Method with Optimal Action-dependent Baseline, by Wenjia Meng et al.
Summary of A Data Mining-based Dynamical Anomaly Detection Method For Integrating with An Advance Metering System, by Sarit Maitra
Summary of Leveraging (biased) Information: Multi-armed Bandits with Offline Data, by Wang Chi Cheung et al.
Summary of Ctd4 — a Deep Continuous Distributional Actor-critic Agent with a Kalman Fusion Of Multiple Critics, by David Valencia et al.
Summary of Random Masking Finds Winning Tickets For Parameter Efficient Fine-tuning, by Jing Xu et al.
Summary of Uduc: An Uncertainty-driven Approach For Learning-based Robust Control, by Yuan Zhang et al.
Summary of Subgraph2vec: a Random Walk-based Algorithm For Embedding Knowledge Graphs, by Elika Bozorgi et al.
Summary of Learning Optimal Deterministic Policies with Stochastic Policy Gradients, by Alessandro Montenegro and Marco Mussi and Alberto Maria Metelli and Matteo Papini
Summary of Structural Pruning Of Pre-trained Language Models Via Neural Architecture Search, by Aaron Klein et al.
Summary of Neural Additive Image Model: Interpretation Through Interpolation, by Arik Reuter et al.
Summary of Autoformalizing Natural Language to First-order Logic: a Case Study in Logical Fallacy Detection, by Abhinav Lalwani et al.
Summary of Rad4xcnn: a New Agnostic Method For Post-hoc Global Explanation Of Cnn-derived Features by Means Of Radiomics, By Francesco Prinzi et al.
Summary of Artificial General Intelligence (agi)-native Wireless Systems: a Journey Beyond 6g, by Walid Saad et al.
Summary of Copal: Continual Pruning in Large Language Generative Models, by Srikanth Malla et al.
Summary of Explainable Multi-label Classification Of Mbti Types, by Siana Kong et al.
Summary of Towards General Neural Surrogate Solvers with Specialized Neural Accelerators, by Chenkai Mao et al.
Summary of What Makes Models Compositional? a Theoretical View: with Supplement, by Parikshit Ram and Tim Klinger and Alexander G. Gray
Summary of Early Transformers: a Study on Efficient Training Of Transformer Models Through Early-bird Lottery Tickets, by Shravan Cheekati
Summary of Heterogeneous Network and Graph Attention Auto-encoder For Lncrna-disease Association Prediction, by Jin-xing Liu et al.
Summary of Stochastic Multivariate Universal-radix Finite-state Machine: a Theoretically and Practically Elegant Nonlinear Function Approximator, by Xincheng Feng et al.
Summary of Large Language Models For Mobility Analysis in Transportation Systems: a Survey on Forecasting Tasks, by Zijian Zhang et al.
Summary of A Survey Of Time Series Foundation Models: Generalizing Time Series Representation with Large Language Model, by Jiexia Ye and Weiqi Zhang and Ke Yi and Yongzi Yu and Ziyue Li and Jia Li and Fugee Tsung
Summary of Cvtgad: Simplified Transformer with Cross-view Attention For Unsupervised Graph-level Anomaly Detection, by Jindong Li et al.
Summary of Holistic Evaluation Metrics: Use Case Sensitive Evaluation Metrics For Federated Learning, by Yanli Li et al.
Summary of A Survey on Contribution Evaluation in Vertical Federated Learning, by Yue Cui et al.
Summary of Triadic-ocd: Asynchronous Online Change Detection with Provable Robustness, Optimality, and Convergence, by Yancheng Huang et al.
Summary of Dyna-style Learning with a Macroscopic Model For Vehicle Platooning in Mixed-autonomy Traffic, by Yichuan Zou and Li Jin and Xi Xiong
Summary of Histogram-based Federated Xgboost Using Minimal Variance Sampling For Federated Tabular Data, by William Lindskog et al.
Summary of A Mutual Information Perspective on Federated Contrastive Learning, by Christos Louizos et al.
Summary of A Federated Learning Benchmark on Tabular Data: Comparing Tree-based Models and Neural Networks, by William Lindskog and Christian Prehofer
Summary of A Comparative Study Of Conformal Prediction Methods For Valid Uncertainty Quantification in Machine Learning, by Nicolas Dewolf
Summary of Multi-level Projection with Exponential Parallel Speedup; Application to Sparse Auto-encoders Neural Networks, by Guillaume Perez and Michel Barlaud
Summary of Forecasting Ferry Passenger Flow Using Long-short Term Memory Neural Networks, by Daniel Fesalbon
Summary of An Information Theoretic Perspective on Conformal Prediction, by Alvaro H.c. Correia et al.
Summary of Neural Context Flows For Meta-learning Of Dynamical Systems, by Roussel Desmond Nzoyem et al.
Summary of Simulating the Economic Impact Of Rationality Through Reinforcement Learning and Agent-based Modelling, by Simone Brusatin et al.
Summary of Hoaxpedia: a Unified Wikipedia Hoax Articles Dataset, by Hsuvas Borkakoty and Luis Espinosa-anke
Summary of A Flow-based Model For Conditional and Probabilistic Electricity Consumption Profile Generation and Prediction, by Weijie Xia et al.
Summary of Metalearners For Ranking Treatment Effects, by Toon Vanderschueren et al.
Summary of Imitation Learning in Discounted Linear Mdps Without Exploration Assumptions, by Luca Viano and Stratis Skoulakis and Volkan Cevher
Summary of Optimistic Regret Bounds For Online Learning in Adversarial Markov Decision Processes, by Sang Bin Moon et al.
Summary of Non-destructive Peat Analysis Using Hyperspectral Imaging and Machine Learning, by Yijun Yan et al.