Paper List

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Summary of Context-aware Assistant Selection For Improved Inference Acceleration with Large Language Models, by Jerry Huang et al.
Summary of Pitn: Physics-informed Temporal Networks For Cuffless Blood Pressure Estimation, by Rui Wang et al.
Summary of Fishers Harvest Parallel Unlearning in Inherited Model Networks, by Xiao Liu et al.
Summary of Towards Flexible Perception with Visual Memory, by Robert Geirhos et al.
Summary of Deepseek-prover-v1.5: Harnessing Proof Assistant Feedback For Reinforcement Learning and Monte-carlo Tree Search, by Huajian Xin et al.
Summary of Machine Learning Empowered Modulation Detection For Ofdm-based Signals, by Ali Pourranjbar et al.
Summary of Not Every Image Is Worth a Thousand Words: Quantifying Originality in Stable Diffusion, by Adi Haviv et al.
Summary of Stochastic Semi-gradient Descent For Learning Mean Field Games with Population-aware Function Approximation, by Chenyu Zhang et al.
Summary of Federated Fairness Analytics: Quantifying Fairness in Federated Learning, by Oscar Dilley et al.
Summary of Moving Healthcare Ai-support Systems For Visually Detectable Diseases Onto Constrained Devices, by Tess Watt et al.
Summary of Red-ct: a Systems Design Methodology For Using Llm-labeled Data to Train and Deploy Edge Classifiers For Computational Social Science, by David Farr et al.
Summary of Enhancing Sharpness-aware Minimization by Learning Perturbation Radius, By Xuehao Wang et al.
Summary of Derivative-free Guidance in Continuous and Discrete Diffusion Models with Soft Value-based Decoding, by Xiner Li et al.
Summary of Explaining An Agent’s Future Beliefs Through Temporally Decomposing Future Reward Estimators, by Mark Towers et al.
Summary of Snuffy: Efficient Whole Slide Image Classifier, by Hossein Jafarinia et al.
Summary of Gsvd-nmf: Recovering Missing Features in Non-negative Matrix Factorization, by Youdong Guo et al.
Summary of Bam! Just Like That: Simple and Efficient Parameter Upcycling For Mixture Of Experts, by Qizhen Zhang et al.
Summary of Absence Of Closed-form Descriptions For Gradient Flow in Two-layer Narrow Networks, by Yeachan Park
Summary of Slca++: Unleash the Power Of Sequential Fine-tuning For Continual Learning with Pre-training, by Gengwei Zhang et al.
Summary of Benchmarking the Capabilities Of Large Language Models in Transportation System Engineering: Accuracy, Consistency, and Reasoning Behaviors, by Usman Syed et al.
Summary of What Secrets Do Your Manifolds Hold? Understanding the Local Geometry Of Generative Models, by Ahmed Imtiaz Humayun et al.
Summary of Can Large Language Models Understand Symbolic Graphics Programs?, by Zeju Qiu et al.
Summary of Unleash the Power Of Pre-trained Language Models For Irregularly Sampled Time Series, by Weijia Zhang et al.
Summary of Experimental Evaluation Of Offline Reinforcement Learning For Hvac Control in Buildings, by Jun Wang et al.
Summary of Inversion-deeponet: a Novel Deeponet-based Network with Encoder-decoder For Full Waveform Inversion, by Zekai Guo et al.
Summary of Analytical Uncertainty-based Loss Weighting in Multi-task Learning, by Lukas Kirchdorfer et al.
Summary of The Clever Hans Effect in Unsupervised Learning, by Jacob Kauffmann et al.
Summary of Causal Discovery From Time-series Data with Short-term Invariance-based Convolutional Neural Networks, by Rujia Shen et al.
Summary of An Efficient Continuous Control Perspective For Reinforcement-learning-based Sequential Recommendation, by Jun Wang et al.
Summary of Datta: Towards Diversity Adaptive Test-time Adaptation in Dynamic Wild World, by Chuyang Ye et al.
Summary of Maximally Permissive Reward Machines, by Giovanni Varricchione et al.
Summary of Cotode: Continuous Trajectory Neural Ordinary Differential Equations For Modelling Event Sequences, by Ilya Kuleshov et al.
Summary of Navigating Data Scarcity Using Foundation Models: a Benchmark Of Few-shot and Zero-shot Learning Approaches in Medical Imaging, by Stefano Woerner and Christian F. Baumgartner
Summary of Bindy — Bayesian Identification Of Nonlinear Dynamics with Reversible-jump Markov-chain Monte-carlo, by Max D. Champneys et al.
Summary of Universality Of Real Minimal Complexity Reservoir, by Robert Simon Fong et al.
Summary of An Efficient Replay For Class-incremental Learning with Pre-trained Models, by Weimin Yin and Bin Chen Adn Chunzhao Xie and Zhenhao Tan
Summary of Independent Policy Mirror Descent For Markov Potential Games: Scaling to Large Number Of Players, by Pragnya Alatur et al.
Summary of Adaptation Of Uncertainty-penalized Bayesian Information Criterion For Parametric Partial Differential Equation Discovery, by Pongpisit Thanasutives et al.
Summary of Hearing Your Blood Sugar: Non-invasive Glucose Measurement Through Simple Vocal Signals, Transforming Any Speech Into a Sensor with Machine Learning, by Nihat Ahmadli et al.
Summary of The Unreasonable Effectiveness Of Solving Inverse Problems with Neural Networks, by Philipp Holl et al.
Summary of Explain, Agree, Learn: Scaling Learning For Neural Probabilistic Logic, by Victor Verreet et al.
Summary of Normalized Aopc: Fixing Misleading Faithfulness Metrics For Feature Attribution Explainability, by Joakim Edin et al.
Summary of Impact Of Comprehensive Data Preprocessing on Predictive Modelling Of Covid-19 Mortality, by Sangita Das et al.
Summary of Kraken: Inherently Parallel Transformers For Efficient Multi-device Inference, by Rohan Baskar Prabhakar et al.
Summary of Sustaindc: Benchmarking For Sustainable Data Center Control, by Avisek Naug et al.
Summary of Enhancing Equitable Access to Ai in Housing and Homelessness System Of Care Through Federated Learning, by Musa Taib et al.
Summary of Training Language Models on the Knowledge Graph: Insights on Hallucinations and Their Detectability, by Jiri Hron et al.
Summary of Con-fold — Explainable Machine Learning with Confidence, by Lachlan Mcginness and Peter Baumgartner
Summary of A Systematic Evaluation Of Generated Time Series and Their Effects in Self-supervised Pretraining, by Audrey Der et al.
Summary of Incremental Structure Discovery Of Classification Via Sequential Monte Carlo, by Changze Huang and Di Wang
Summary of Bcr-drl: Behavior- and Context-aware Reward For Deep Reinforcement Learning in Human-ai Coordination, by Xin Hao et al.
Summary of The Nah Bandit: Modeling User Non-compliance in Recommendation Systems, by Tianyue Zhou et al.
Summary of Local Causal Discovery with Background Knowledge, by Qingyuan Zheng et al.
Summary of Quantum-inspired Interpretable Deep Learning Architecture For Text Sentiment Analysis, by Bingyu Li et al.
Summary of Kan Versus Mlp on Irregular or Noisy Functions, by Chen Zeng et al.
Summary of Cegrl-tkgr: a Causal Enhanced Graph Representation Learning Framework For Temporal Knowledge Graph Reasoning, by Jinze Sun et al.
Summary of Physics-informed Neural Network For Predicting Out-of-training-range Tcad Solution with Minimized Domain Expertise, by Albert Lu et al.
Summary of A Single Channel-based Neonatal Sleep-wake Classification Using Hjorth Parameters and Improved Gradient Boosting, by Muhammad Arslan et al.
Summary of A Deep Features-based Approach Using Modified Resnet50 and Gradient Boosting For Visual Sentiments Classification, by Muhammad Arslan et al.
Summary of Randomnet: Clustering Time Series Using Untrained Deep Neural Networks, by Xiaosheng Li et al.
Summary of Robust Offline Active Learning on Graphs, by Yuanchen Wu and Yubai Yuan
Summary of Meta Sac-lag: Towards Deployable Safe Reinforcement Learning Via Metagradient-based Hyperparameter Tuning, by Homayoun Honari et al.
Summary of Addressing Skewed Heterogeneity Via Federated Prototype Rectification with Personalization, by Shunxin Guo et al.
Summary of Latent Anomaly Detection Through Density Matrices, by Joseph Gallego-mejia et al.
Summary of Battery Graphnets : Relational Learning For Lithium-ion Batteries(libs) Life Estimation, by Sakhinana Sagar Srinivas et al.
Summary of Graph Triple Attention Network: a Decoupled Perspective, by Xiaotang Wang et al.
Summary of Model Merging in Llms, Mllms, and Beyond: Methods, Theories, Applications and Opportunities, by Enneng Yang et al.
Summary of Off-policy Reinforcement Learning with High Dimensional Reward, by Dong Neuck Lee and Michael R. Kosorok
Summary of A Spitting Image: Modular Superpixel Tokenization in Vision Transformers, by Marius Aasan et al.
Summary of Deep Learning: a Heuristic Three-stage Mechanism For Grid Searches to Optimize the Future Risk Prediction Of Breast Cancer Metastasis Using Ehr-based Clinical Data, by Xia Jiang et al.
Summary of Introduction to Reinforcement Learning, by Majid Ghasemi and Dariush Ebrahimi
Summary of End-to-end Semantic-centric Video-based Multimodal Affective Computing, by Ronghao Lin et al.
Summary of Impact Of Inaccurate Contamination Ratio on Robust Unsupervised Anomaly Detection, by Jordan F. Masakuna et al.
Summary of Operator Feature Neural Network For Symbolic Regression, by Yusong Deng et al.
Summary of “normalized Stress” Is Not Normalized: How to Interpret Stress Correctly, by Kiran Smelser et al.
Summary of Graph Neural Network Surrogate For Strategic Transport Planning, by Nikita Makarov et al.
Summary of Enhancing Adversarial Attacks Via Parameter Adaptive Adversarial Attack, by Zhibo Jin et al.
Summary of Enhancing Model Interpretability with Local Attribution Over Global Exploration, by Zhiyu Zhu et al.
Summary of How to Solve Contextual Goal-oriented Problems with Offline Datasets?, by Ying Fan et al.
Summary of Out-of-distribution Learning with Human Feedback, by Haoyue Bai et al.
Summary of Ranking and Combining Latent Structured Predictive Scores Without Labeled Data, by Shiva Afshar et al.
Summary of Medtsllm: Leveraging Llms For Multimodal Medical Time Series Analysis, by Nimeesha Chan et al.
Summary of Differentiating Policies For Non-myopic Bayesian Optimization, by Darian Nwankwo et al.
Summary of Lipcot: Linear Predictive Coding Based Tokenizer For Self-supervised Learning Of Time Series Data Via Language Models, by Md Fahim Anjum
Summary of Nonlocal Attention Operator: Materializing Hidden Knowledge Towards Interpretable Physics Discovery, by Yue Yu et al.
Summary of Kolmogorov-arnold Networks (kan) For Time Series Classification and Robust Analysis, by Chang Dong et al.
Summary of A Systematic Dataset Generation Technique Applied to Data-driven Automotive Aerodynamics, by Mark Benjamin et al.
Summary of An Offline Meta Black-box Optimization Framework For Adaptive Design Of Urban Traffic Light Management Systems, by Taeyoung Yun et al.
Summary of Towards Few-shot Self-explaining Graph Neural Networks, by Jingyu Peng et al.
Summary of Robust Active Learning (roal): Countering Dynamic Adversaries in Active Learning with Elastic Weight Consolidation, by Ricky Maulana Fajri et al.
Summary of Rsea-mvgnn: Multi-view Graph Neural Network with Reliable Structural Enhancement and Aggregation, by Junyu Chen et al.
Summary of An Adaptive Importance Sampling For Locally Stable Point Processes, by Hee-geon Kang and Sunggon Kim
Summary of Posterior Covariance Structures in Gaussian Processes, by Difeng Cai et al.
Summary of Achieving Data Efficient Neural Networks with Hybrid Concept-based Models, by Tobias A. Opsahl and Vegard Antun
Summary of Fact or Fiction? Improving Fact Verification with Knowledge Graphs Through Simplified Subgraph Retrievals, by Tobias A. Opsahl
Summary of Decoder Ensembling For Learned Latent Geometries, by Stas Syrota et al.
Summary of Development Of a Large Language Model-based Multi-agent Clinical Decision Support System For Korean Triage and Acuity Scale (ktas)-based Triage and Treatment Planning in Emergency Departments, by Seungjun Han et al.
Summary of Protected Test-time Adaptation Via Online Entropy Matching: a Betting Approach, by Yarin Bar et al.
Summary of Polycl: Contrastive Learning For Polymer Representation Learning Via Explicit and Implicit Augmentations, by Jiajun Zhou et al.
Summary of Multi-task Heterogeneous Graph Learning on Electronic Health Records, by Tsai Hor Chan et al.