Paper List

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Summary of Gradual Fine-tuning with Graph Routing For Multi-source Unsupervised Domain Adaptation, by Yao Ma et al.
Summary of Feature Selection Based on Wasserstein Distance, by Fuwei Li
Summary of General Geospatial Inference with a Population Dynamics Foundation Model, by Mohit Agarwal et al.
Summary of Subgraph Retrieval Enhanced by Graph-text Alignment For Commonsense Question Answering, By Boci Peng et al.
Summary of Graphrpm: Risk Pattern Mining on Industrial Large Attributed Graphs, by Sheng Tian et al.
Summary of Capellm: Support-free Category-agnostic Pose Estimation with Multimodal Large Language Models, by Junho Kim et al.
Summary of Wassffed: Wasserstein Fair Federated Learning, by Zhongxuan Han et al.
Summary of Spartan: a Sparse Transformer Learning Local Causation, by Anson Lei et al.
Summary of Longsafety: Enhance Safety For Long-context Llms, by Mianqiu Huang et al.
Summary of Gaussian Process Emulators For Few-shot Segmentation in Cardiac Mri, by Bruno Viti and Franz Thaler and Kathrin Lisa Kapper and Martin Urschler and Martin Holler and Elias Karabelas
Summary of Slowing Down Forgetting in Continual Learning, by Pascal Janetzky et al.
Summary of Efficient Unsupervised Domain Adaptation Regression For Spatial-temporal Air Quality Sensor Fusion, by Keivan Faghih Niresi et al.
Summary of Imitation From Diverse Behaviors: Wasserstein Quality Diversity Imitation Learning with Single-step Archive Exploration, by Xingrui Yu et al.
Summary of Causal-discovery-based Root-cause Analysis and Its Application in Time-series Prediction Error Diagnosis, by Hiroshi Yokoyama et al.
Summary of Estimating Causal Effects in Partially Directed Parametric Causal Factor Graphs, by Malte Luttermann et al.
Summary of Non-adversarial Inverse Reinforcement Learning Via Successor Feature Matching, by Arnav Kumar Jain et al.
Summary of Heterosample: Meta-path Guided Sampling For Heterogeneous Graph Representation Learning, by Ao Liu et al.
Summary of A Neural-network Based Anomaly Detection System and a Safety Protocol to Protect Vehicular Network, by Marco Franceschini
Summary of Leveraging Lstm For Predictive Modeling Of Satellite Clock Bias, by Ahan Bhatt et al.
Summary of Unified Bayesian Representation For High-dimensional Multi-modal Biomedical Data For Small-sample Classification, by Albert Belenguer-llorens et al.
Summary of General Framework For Online-to-nonconvex Conversion: Schedule-free Sgd Is Also Effective For Nonconvex Optimization, by Kwangjun Ahn et al.
Summary of Zeroth-order Adaptive Neuron Alignment Based Pruning Without Re-training, by Elia Cunegatti et al.
Summary of Universal Response and Emergence Of Induction in Llms, by Niclas Luick
Summary of Research on An Intelligent Fault Diagnosis Method For Nuclear Power Plants Based on Etcn-ssa Combined Algorithm, by Jiayan Fang et al.
Summary of Pdc & Dm-sft: a Road For Llm Sql Bug-fix Enhancing, by Yiwen Duan et al.
Summary of Sketched Adaptive Federated Deep Learning: a Sharp Convergence Analysis, by Zhijie Chen et al.
Summary of White-box Diffusion Transformer For Single-cell Rna-seq Generation, by Zhuorui Cui et al.
Summary of Model Partition and Resource Allocation For Split Learning in Vehicular Edge Networks, by Lu Yu et al.
Summary of Mp-pinn: a Multi-phase Physics-informed Neural Network For Epidemic Forecasting, by Thang Nguyen et al.
Summary of Scalekd: Strong Vision Transformers Could Be Excellent Teachers, by Jiawei Fan et al.
Summary of Streetwise Agents: Empowering Offline Rl Policies to Outsmart Exogenous Stochastic Disturbances in Rtc, by Aditya Soni et al.
Summary of Structuring the Processing Frameworks For Data Stream Evaluation and Application, by Joanna Komorniczak et al.
Summary of Optimized Quality Of Service Prediction in Fso Links Over South Africa Using Ensemble Learning, by S.o. Adebusola et al.
Summary of Adaptive Conditional Expert Selection Network For Multi-domain Recommendation, by Kuiyao Dong et al.
Summary of Large Language Model in Medical Informatics: Direct Classification and Enhanced Text Representations For Automatic Icd Coding, by Zeyd Boukhers and Ameerali Khan and Qusai Ramadan and Cong Yang
Summary of Spatially Constrained Transformer with Efficient Global Relation Modelling For Spatio-temporal Prediction, by Ashutosh Sao and Simon Gottschalk
Summary of Learning Interpretable Network Dynamics Via Universal Neural Symbolic Regression, by Jiao Hu et al.
Summary of Llm-neo: Parameter Efficient Knowledge Distillation For Large Language Models, by Runming Yang et al.
Summary of Generative Feature Training Of Thin 2-layer Networks, by Johannes Hertrich and Sebastian Neumayer
Summary of 1-800-shared-tasks @ Nlu Of Devanagari Script Languages: Detection Of Language, Hate Speech, and Targets Using Llms, by Jebish Purbey et al.
Summary of Scientific Machine Learning in Ecological Systems: a Study on the Predator-prey Dynamics, by Ranabir Devgupta et al.
Summary of Computable Model-independent Bounds For Adversarial Quantum Machine Learning, by Bacui Li et al.
Summary of Effect Sizes As a Statistical Feature-selector-based Learning to Detect Breast Cancer, by Nicolas Masino et al.
Summary of Scmedal For the Interpretable Analysis Of Single-cell Transcriptomics Data with Batch Effect Visualization Using a Deep Mixed Effects Autoencoder, by Aixa X. Andrade et al.
Summary of Inductive Graph Few-shot Class Incremental Learning, by Yayong Li et al.
Summary of Understanding Scaling Laws with Statistical and Approximation Theory For Transformer Neural Networks on Intrinsically Low-dimensional Data, by Alex Havrilla et al.
Summary of Machine Learning-enabled Velocity Model Building with Uncertainty Quantification, by Rafael Orozco et al.
Summary of Renaissance: Investigating the Pretraining Of Vision-language Encoders, by Clayton Fields et al.
Summary of An Efficient Memory Module For Graph Few-shot Class-incremental Learning, by Dong Li et al.
Summary of Bridge: a Unified Framework to Knowledge Graph Completion Via Language Models and Knowledge Representation, by Qiao Qiao et al.
Summary of Shedding Light on Problems with Hyperbolic Graph Learning, by Isay Katsman et al.
Summary of Wdmoe: Wireless Distributed Mixture Of Experts For Large Language Models, by Nan Xue et al.
Summary of Shallow Signed Distance Functions For Kinematic Collision Bodies, by Osman Akar et al.
Summary of Learning a Single Neuron Robustly to Distributional Shifts and Adversarial Label Noise, by Shuyao Li et al.
Summary of On the Principles Of Relu Networks with One Hidden Layer, by Changcun Huang
Summary of Synthesize, Partition, Then Adapt: Eliciting Diverse Samples From Foundation Models, by Yeming Wen et al.
Summary of Real-time Monitoring and Analysis Of Track and Field Athletes Based on Edge Computing and Deep Reinforcement Learning Algorithm, by Xiaowei Tang et al.
Summary of Gsl-pcd: Improving Generalist-specialist Learning with Point Cloud Feature-based Task Partitioning, by Xiu Yuan
Summary of Mrsteve: Instruction-following Agents in Minecraft with What-where-when Memory, by Junyeong Park et al.
Summary of Beating Adversarial Low-rank Mdps with Unknown Transition and Bandit Feedback, by Haolin Liu et al.
Summary of Dockformer: a Transformer-based Molecular Docking Paradigm For Large-scale Virtual Screening, by Zhangfan Yang et al.
Summary of Multi-stage Knowledge Integration Of Vision-language Models For Continual Learning, by Hongsheng Zhang et al.
Summary of Neuromodulated Meta-learning, by Jingyao Wang et al.
Summary of Towards Graph Neural Network Surrogates Leveraging Mechanistic Expert Knowledge For Pandemic Response, by Agatha Schmidt et al.
Summary of Individual Regret in Cooperative Stochastic Multi-armed Bandits, by Idan Barnea et al.
Summary of Diffusion Sampling Correction Via Approximately 10 Parameters, by Guangyi Wang et al.
Summary of Thermodynamically-informed Iterative Neural Operators For Heterogeneous Elastic Localization, by Conlain Kelly and Surya R. Kalidindi
Summary of Understanding the Role Of Equivariance in Self-supervised Learning, by Yifei Wang et al.
Summary of Offline Handwritten Signature Verification Using a Stream-based Approach, by Kecia G. De Moura et al.
Summary of Causal Representation Learning From Multimodal Biomedical Observations, by Yuewen Sun et al.
Summary of Probabilistic Consensus Through Ensemble Validation: a Framework For Llm Reliability, by Ninad Naik
Summary of Meta-learning Objectives For Preference Optimization, by Carlo Alfano et al.
Summary of Fitting Multiple Machine Learning Models with Performance Based Clustering, by Mehmet Efe Lorasdagi and Ahmet Berker Koc and Ali Taha Koc and Suleyman Serdar Kozat
Summary of An Energy-based Self-adaptive Learning Rate For Stochastic Gradient Descent: Enhancing Unconstrained Optimization with Vav Method, by Jiahao Zhang et al.
Summary of Discovering Emergent Connections in Quantum Physics Research Via Dynamic Word Embeddings, by Felix Frohnert et al.
Summary of Federated Llms Fine-tuned with Adaptive Importance-aware Lora, by Yang Su et al.
Summary of Critical: Critic Automation with Language Models, by Michael Y. Li et al.
Summary of Molminer: Transformer Architecture For Fragment-based Autoregressive Generation Of Molecular Stories, by Raul Ortega Ochoa et al.
Summary of Offlight: An Offline Multi-agent Reinforcement Learning Framework For Traffic Signal Control, by Rohit Bokade et al.
Summary of Vtune: Verifiable Fine-tuning For Llms Through Backdooring, by Eva Zhang et al.
Summary of Are Neuromorphic Architectures Inherently Privacy-preserving? An Exploratory Study, by Ayana Moshruba et al.
Summary of Few-shot Semantic Learning For Robust Multi-biome 3d Semantic Mapping in Off-road Environments, by Deegan Atha et al.
Summary of Using Diffusion Models As Generative Replay in Continual Federated Learning — What Will Happen?, by Yongsheng Mei et al.
Summary of Crtre: Causal Rule Generation with Target Trial Emulation Framework, by Junda Wang et al.
Summary of Deep Active Learning in the Open World, by Tian Xie et al.
Summary of Activation Map Compression Through Tensor Decomposition For Deep Learning, by Le-trung Nguyen et al.
Summary of Client Contribution Normalization For Enhanced Federated Learning, by Mayank Kumar Kundalwal et al.
Summary of An Efficient Matrix Multiplication Algorithm For Accelerating Inference in Binary and Ternary Neural Networks, by Mohsen Dehghankar et al.
Summary of Bayesnam: Leveraging Inconsistency For Reliable Explanations, by Hoki Kim et al.
Summary of Project Tracyn: Generative Artificial Intelligence Based Peripherals Trace Synthesizer, by Zhibai Huang et al.
Summary of Llm Vocabulary Compression For Low-compute Environments, by Sreeram Vennam et al.
Summary of Self-training Meets Consistency: Improving Llms’ Reasoning with Consistency-driven Rationale Evaluation, by Jaehyeok Lee et al.
Summary of Causalstock: Deep End-to-end Causal Discovery For News-driven Stock Movement Prediction, by Shuqi Li et al.
Summary of A Variance Minimization Approach to Temporal-difference Learning, by Xingguo Chen et al.
Summary of Local Vs. Global Models For Hierarchical Forecasting, by Zhao Yingjie et al.
Summary of Unigad: Unifying Multi-level Graph Anomaly Detection, by Yiqing Lin et al.
Summary of Neuro-symbolic Rule Lists, by Sascha Xu et al.
Summary of Beyond Toxic Neurons: a Mechanistic Analysis Of Dpo For Toxicity Reduction, by Yushi Yang et al.
Summary of Predictors Of Disease Outbreaks at Continentalscale in the African Region: Insights and Predictions with Geospatial Artificial Intelligence Using Earth Observations and Routine Disease Surveillance Data, by Scott Pezanowski et al.
Summary of Detecting Autoencoder Is Enough to Catch Ldm Generated Images, by Dmitry Vesnin et al.