Paper List

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Summary of Federated Hypergraph Learning: Hyperedge Completion with Local Differential Privacy, by Linfeng Luo et al.
Summary of Meta-learning Guided Label Noise Distillation For Robust Signal Modulation Classification, by Xiaoyang Hao et al.
Summary of Beyond Closure Models: Learning Chaotic-systems Via Physics-informed Neural Operators, by Chuwei Wang et al.
Summary of Adversarially Robust Industrial Anomaly Detection Through Diffusion Model, by Yuanpu Cao et al.
Summary of Dual-channel Latent Factor Analysis Enhanced Graph Contrastive Learning For Recommendation, by Junfeng Long and Hao Wu
Summary of Mplug-owl3: Towards Long Image-sequence Understanding in Multi-modal Large Language Models, by Jiabo Ye et al.
Summary of Kolmogorov-arnold Network For Online Reinforcement Learning, by Victor Augusto Kich et al.
Summary of Your Classifier Can Be Secretly a Likelihood-based Ood Detector, by Jirayu Burapacheep et al.
Summary of A Pipeline For Data-driven Learning Of Topological Features with Applications to Protein Stability Prediction, by Amish Mishra and Francis Motta
Summary of High Dimensional Bayesian Optimization Via Condensing-expansion Projection, by Jiaming Lu and Rong J.b. Zhu
Summary of Mds-gnn: a Mutual Dual-stream Graph Neural Network on Graphs with Incomplete Features and Structure, by Peng Yuan and Peng Tang
Summary of An Evaluation Of Standard Statistical Models and Llms on Time Series Forecasting, by Rui Cao and Qiao Wang
Summary of Ucb Exploration For Fixed-budget Bayesian Best Arm Identification, by Rong J.b. Zhu and Yanqi Qiu
Summary of Better Not to Propagate: Understanding Edge Uncertainty and Over-smoothing in Signed Graph Neural Networks, by Yoonhyuk Choi et al.
Summary of Causal Discovery Of Linear Non-gaussian Causal Models with Unobserved Confounding, by Daniela Schkoda et al.
Summary of Clustering-friendly Representation Learning For Enhancing Salient Features, by Toshiyuki Oshima et al.
Summary of Axiomatic Characterisations Of Sample-based Explainers, by Leila Amgoud et al.
Summary of A Geometric Nash Approach in Tuning the Learning Rate in Q-learning Algorithm, by Kwadwo Osei Bonsu
Summary of Ptrajm: Efficient and Semantic-rich Trajectory Learning with Pretrained Trajectory-mamba, by Yan Lin et al.
Summary of Privacy-preserved Taxi Demand Prediction System Utilizing Distributed Data, by Ren Ozeki et al.
Summary of Uav-enhanced Combination to Application: Comprehensive Analysis and Benchmarking Of a Human Detection Dataset For Disaster Scenarios, by Ragib Amin Nihal et al.
Summary of Model Debiasing by Learnable Data Augmentation, By Pietro Morerio et al.
Summary of Hybridrag: Integrating Knowledge Graphs and Vector Retrieval Augmented Generation For Efficient Information Extraction, by Bhaskarjit Sarmah et al.
Summary of Leveraging Large Language Models with Chain-of-thought and Prompt Engineering For Traffic Crash Severity Analysis and Inference, by Hao Zhen et al.
Summary of Winning Amazon Kdd Cup’24, by Chris Deotte et al.
Summary of Llm Stability: a Detailed Analysis with Some Surprises, by Berk Atil et al.
Summary of Autofair : Automatic Data Fairification Via Machine Reading, by Tingyan Ma et al.
Summary of Towards Linguistic Neural Representation Learning and Sentence Retrieval From Electroencephalogram Recordings, by Jinzhao Zhou et al.
Summary of Toolsandbox: a Stateful, Conversational, Interactive Evaluation Benchmark For Llm Tool Use Capabilities, by Jiarui Lu et al.
Summary of Exploring Scalability in Large-scale Time Series in Deepvats Framework, by Inmaculada Santamaria-valenzuela et al.
Summary of Understanding the Performance and Estimating the Cost Of Llm Fine-tuning, by Yuchen Xia et al.
Summary of Zero-shot Uncertainty Quantification Using Diffusion Probabilistic Models, by Dule Shu and Amir Barati Farimani
Summary of Dygmamba: Efficiently Modeling Long-term Temporal Dependency on Continuous-time Dynamic Graphs with State Space Models, by Zifeng Ding et al.
Summary of Overlay-based Decentralized Federated Learning in Bandwidth-limited Networks, by Yudi Huang et al.
Summary of Confident Magnitude-based Neural Network Pruning, by Joaquin Alvarez
Summary of Ai and Machine Learning Driven Indoor Localization and Navigation with Mobile Embedded Systems, by Sudeep Pasricha
Summary of A Density Ratio Super Learner, by Wencheng Wu et al.
Summary of Unibench: Visual Reasoning Requires Rethinking Vision-language Beyond Scaling, by Haider Al-tahan et al.
Summary of On the Geometry Of Deep Learning, by Randall Balestriero et al.
Summary of Towards Improving Alzheimer’s Intervention: a Machine Learning Approach For Biomarker Detection Through Combining Meg and Mri Pipelines, by Alwani Liyana Ahmad et al.
Summary of Fuse-ing Language Models: Zero-shot Adapter Discovery For Prompt Optimization Across Tokenizers, by Joshua Nathaniel Williams et al.
Summary of Interventional Causal Structure Discovery Over Graphical Models with Convergence and Optimality Guarantees, by Qiu Chengbo et al.
Summary of Performance Metric For Multiple Anomaly Score Distributions with Discrete Severity Levels, by Wonjun Yi et al.
Summary of Advancing Molecular Machine (learned) Representations with Stereoelectronics-infused Molecular Graphs, by Daniil A. Boiko et al.
Summary of Knowledge-aided Semantic Communication Leveraging Probabilistic Graphical Modeling, by Haowen Wan et al.
Summary of Hybrid Reinforcement Learning Breaks Sample Size Barriers in Linear Mdps, by Kevin Tan et al.
Summary of Aexgym: Benchmarks and Environments For Adaptive Experimentation, by Jimmy Wang et al.
Summary of How Transformers Utilize Multi-head Attention in In-context Learning? a Case Study on Sparse Linear Regression, by Xingwu Chen et al.
Summary of Ba-lora: Bias-alleviating Low-rank Adaptation to Mitigate Catastrophic Inheritance in Large Language Models, by Yupeng Chang et al.
Summary of Activation Degree Thresholds and Expressiveness Of Polynomial Neural Networks, by Bella Finkel et al.
Summary of Unveiling the Power Of Sparse Neural Networks For Feature Selection, by Zahra Atashgahi et al.
Summary of Optimization-driven Adaptive Experimentation, by Ethan Che et al.
Summary of Learn to Learn More Precisely, by Runxi Cheng et al.
Summary of Inference with the Upper Confidence Bound Algorithm, by Koulik Khamaru and Cun-hui Zhang
Summary of Risk and Cross Validation in Ridge Regression with Correlated Samples, by Alexander Atanasov and Jacob A. Zavatone-veth and Cengiz Pehlevan
Summary of Transformer Explainer: Interactive Learning Of Text-generative Models, by Aeree Cho et al.
Summary of Better Alignment with Instruction Back-and-forth Translation, by Thao Nguyen et al.
Summary of Gpt-3 Powered Information Extraction For Building Robust Knowledge Bases, by Ritabrata Roy Choudhury et al.
Summary of Abstractive Summarization From Audio Transcription, by Ilia Derkach
Summary of Efficacy Of Large Language Models in Systematic Reviews, by Aaditya Shah and Shridhar Mehendale and Siddha Kanthi
Summary of Risks, Causes, and Mitigations Of Widespread Deployments Of Large Language Models (llms): a Survey, by Md Nazmus Sakib et al.
Summary of Distinguishing Chatbot From Human, by Gauri Anil Godghase and Rishit Agrawal and Tanush Obili and Mark Stamp
Summary of Building Trust in Mental Health Chatbots: Safety Metrics and Llm-based Evaluation Tools, by Jung in Park et al.
Summary of Constructing Adversarial Examples For Vertical Federated Learning: Optimal Client Corruption Through Multi-armed Bandit, by Duanyi Yao et al.
Summary of Federated Cubic Regularized Newton Learning with Sparsification-amplified Differential Privacy, by Wei Huo et al.
Summary of Self-supervised Contrastive Graph Clustering Network Via Structural Information Fusion, by Xiaoyang Ji et al.
Summary of Deep Reinforcement Learning For the Design Of Metamaterial Mechanisms with Functional Compliance Control, by Yejun Choi et al.
Summary of Detecting Car Speed Using Object Detection and Depth Estimation: a Deep Learning Framework, by Subhasis Dasgupta et al.
Summary of Analyzing Consumer Reviews For Understanding Drivers Of Hotels Ratings: An Indian Perspective, by Subhasis Dasgupta et al.
Summary of Anomaly Prediction: a Novel Approach with Explicit Delay and Horizon, by Jiang You et al.
Summary of Robustness Investigation Of Cross-validation Based Quality Measures For Model Assessment, by Thomas Most et al.
Summary of Dive: Subgraph Disagreement For Graph Out-of-distribution Generalization, by Xin Sun et al.
Summary of Probabilistic Energy Forecasting Through Quantile Regression in Reproducing Kernel Hilbert Spaces, by Luca Pernigo and Rohan Sen and Davide Baroli
Summary of Clutter Classification Using Deep Learning in Multiple Stages, by Ryan Dempsey and Jonathan Ethier
Summary of Deep Learning For Identifying Systolic Complexes in Scg Traces: a Cross-dataset Analysis, by Michele Craighero et al.
Summary of Deeploy: Enabling Energy-efficient Deployment Of Small Language Models on Heterogeneous Microcontrollers, by Moritz Scherer et al.
Summary of Fedad-bench: a Unified Benchmark For Federated Unsupervised Anomaly Detection in Tabular Data, by Ahmed Anwar et al.
Summary of Detection Of Animal Movement From Weather Radar Using Self-supervised Learning, by Mubin Ul Haque et al.
Summary of An Experimental Comparative Study Of Backpropagation and Alternatives For Training Binary Neural Networks For Image Classification, by Ben Crulis et al.
Summary of Random Walk Diffusion For Efficient Large-scale Graph Generation, by Tobias Bernecker et al.
Summary of Segxal: Explainable Active Learning For Semantic Segmentation in Driving Scene Scenarios, by Sriram Mandalika et al.
Summary of Nfdi4health Workflow and Service For Synthetic Data Generation, Assessment and Risk Management, by Sobhan Moazemi et al.
Summary of Model-based Transfer Learning For Contextual Reinforcement Learning, by Jung-hoon Cho et al.
Summary of Wav2graph: a Framework For Supervised Learning Knowledge Graph From Speech, by Khai Le-duc et al.
Summary of Pybregman: a Python Library For Bregman Manifolds, by Frank Nielsen and Alexander Soen
Summary of Listwise Reward Estimation For Offline Preference-based Reinforcement Learning, by Heewoong Choi et al.
Summary of Uncertainty-aware Crime Prediction with Spatial Temporal Multivariate Graph Neural Networks, by Zepu Wang et al.
Summary of Dc Algorithm For Estimation Of Sparse Gaussian Graphical Models, by Tomokaze Shiratori et al.
Summary of Diffusion Guided Language Modeling, by Justin Lovelace et al.
Summary of Connective Viewpoints Of Signal-to-noise Diffusion Models, by Khanh Doan et al.
Summary of Probabilistic Circuits For Cumulative Distribution Functions, by Oliver Broadrick and William Cao and Benjie Wang and Martin Trapp and Guy Van Den Broeck
Summary of Enhanced Traffic Flow Prediction with Multi-segment Fusion Tensor Graph Convolutional Networks, by Wei Zhang et al.
Summary of Cluster-wide Task Slowdown Detection in Cloud System, by Feiyi Chen et al.
Summary of The Ungrounded Alignment Problem, by Marc Pickett et al.
Summary of Cooperative Multi-agent Deep Reinforcement Learning in Content Ranking Optimization, by Zhou Qin et al.
Summary of Generating Fine-grained Causality in Climate Time Series Data For Forecasting and Anomaly Detection, by Dongqi Fu et al.
Summary of Scalable Transformer For High Dimensional Multivariate Time Series Forecasting, by Xin Zhou et al.
Summary of Evaluating Modern Approaches in 3d Scene Reconstruction: Nerf Vs Gaussian-based Methods, by Yiming Zhou and Zixuan Zeng and Andi Chen and Xiaofan Zhou and Haowei Ni and Shiyao Zhang and Panfeng Li and Liangxi Liu and Mengyao Zheng and Xupeng Chen
Summary of Early Risk Assessment Model For Ica Timing Strategy in Unstable Angina Patients Using Multi-modal Machine Learning, by Candi Zheng et al.
Summary of Stability Analysis Of Equivariant Convolutional Representations Through the Lens Of Equivariant Multi-layered Ckns, by Soutrik Roy Chowdhury