Paper List

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Summary of Condensed Stein Variational Gradient Descent For Uncertainty Quantification Of Neural Networks, by Govinda Anantha Padmanabha et al.
Summary of When Can Proxies Improve the Sample Complexity Of Preference Learning?, by Yuchen Zhu et al.
Summary of Learn2mix: Training Neural Networks Using Adaptive Data Integration, by Shyam Venkatasubramanian et al.
Summary of Mol-mamba: Enhancing Molecular Representation with Structural & Electronic Insights, by Jingjing Hu et al.
Summary of Evaluating the Performance Of Large Language Models in Scientific Claim Detection and Classification, by Tanjim Bin Faruk
Summary of Real-time Bangla Sign Language Translator, by Rotan Hawlader Pranto et al.
Summary of Spatial-temporal Knowledge Distillation For Takeaway Recommendation, by Shuyuan Zhao et al.
Summary of Know2vec: a Black-box Proxy For Neural Network Retrieval, by Zhuoyi Shang et al.
Summary of Multi-source Unsupervised Domain Adaptation with Prototype Aggregation, by Min Huang et al.
Summary of Inference Scaling Vs Reasoning: An Empirical Analysis Of Compute-optimal Llm Problem-solving, by Marwan Abdelhameed et al.
Summary of Learned Compression Of Nonlinear Time Series with Random Access, by Andrea Guerra et al.
Summary of Learn: a Unified Framework For Multi-task Domain Adapt Few-shot Learning, by Bharadwaj Ravichandran et al.
Summary of Decoding Linguistic Nuances in Mental Health Text Classification Using Expressive Narrative Stories, by Jinwen Tang et al.
Summary of Principal-agent Bandit Games with Self-interested and Exploratory Learning Agents, by Junyan Liu et al.
Summary of Hybgrag: Hybrid Retrieval-augmented Generation on Textual and Relational Knowledge Bases, by Meng-chieh Lee et al.
Summary of When Worse Is Better: Navigating the Compression-generation Tradeoff in Visual Tokenization, by Vivek Ramanujan et al.
Summary of Optimizing Fintech Marketing: a Comparative Study Of Logistic Regression and Xgboost, by Sahar Yarmohammadtoosky Dinesh Chowdary Attota
Summary of Improving Equity in Health Modeling with Gpt4-turbo Generated Synthetic Data: a Comparative Study, by Daniel Smolyak et al.
Summary of Deliberative Alignment: Reasoning Enables Safer Language Models, by Melody Y. Guan et al.
Summary of A Machine Learning Approach For Emergency Detection in Medical Scenarios Using Large Language Models, by Ferit Akaybicen et al.
Summary of Iterative Encoding-decoding Vaes Anomaly Detection in Noaa’s Dart Time Series: a Machine Learning Approach For Enhancing Data Integrity For Nasa’s Grace-fo Verification and Validation, by Kevin Lee
Summary of Refa: Reference Free Alignment For Multi-preference Optimization, by Taneesh Gupta et al.
Summary of Collision-based Dynamics For Multi-marginal Optimal Transport, by Mohsen Sadr and Hossein Gorji
Summary of Ethics and Technical Aspects Of Generative Ai Models in Digital Content Creation, by Atahan Karagoz
Summary of Gat-rwos: Graph Attention-guided Random Walk Oversampling For Imbalanced Data Classification, by Zahiriddin Rustamov et al.
Summary of Learning Disease Progression Models That Capture Health Disparities, by Erica Chiang et al.
Summary of Uncertainty Quantification in Continual Open-world Learning, by Amanda S. Rios et al.
Summary of Machine Learning-based Estimation Of Wave Direction For Unmanned Surface Vehicles, by Manele Ait Habouche et al.
Summary of Saliency Methods Are Encoders: Analysing Logical Relations Towards Interpretation, by Leonid Schwenke et al.
Summary of Synthetic Time Series Data Generation For Healthcare Applications: a Pcg Case Study, by Ainaz Jamshidi et al.
Summary of Algorithmic Strategies For Sustainable Reuse Of Neural Network Accelerators with Permanent Faults, by Youssef A. Ait Alama et al.
Summary of Challenges Learning From Imbalanced Data Using Tree-based Models: Prevalence Estimates Systematically Depend on Hyperparameters and Can Be Upwardly Biased, by Nathan Phelps et al.
Summary of Fairtp: a Prolonged Fairness Framework For Traffic Prediction, by Jiangnan Xia et al.
Summary of Graphlora: Empowering Llms Fine-tuning Via Graph Collaboration Of Moe, by Ting Bai et al.
Summary of Gnn-transformer Cooperative Architecture For Trustworthy Graph Contrastive Learning, by Jianqing Liang et al.
Summary of Galot: Generative Active Learning Via Optimizable Zero-shot Text-to-image Generation, by Hanbin Hong et al.
Summary of Defeasible Visual Entailment: Benchmark, Evaluator, and Reward-driven Optimization, by Yue Zhang et al.
Summary of Taackit: Track Annotation and Analytics with Continuous Knowledge Integration Tool, by Lily Lee et al.
Summary of Wifi Csi Based Temporal Activity Detection Via Dual Pyramid Network, by Zhendong Liu et al.
Summary of Is Ai Robust Enough For Scientific Research?, by Jun-jie Zhang et al.
Summary of Utilizing Causal Network Markers to Identify Tipping Points Ahead Of Critical Transition, by Shirui Bian et al.
Summary of Bag Of Tricks For Multimodal Automl with Image, Text, and Tabular Data, by Zhiqiang Tang et al.
Summary of The Impact Of Behavioral Diversity in Multi-agent Reinforcement Learning, by Matteo Bettini et al.
Summary of Training-free Heterogeneous Graph Condensation Via Data Selection, by Yuxuan Liang et al.
Summary of Decoding Fairness: a Reinforcement Learning Perspective, by Guozhong Zheng et al.
Summary of Towards Scientific Discovery with Dictionary Learning: Extracting Biological Concepts From Microscopy Foundation Models, by Konstantin Donhauser et al.
Summary of Post-hoc Interpretability Illumination For Scientific Interaction Discovery, by Ling Zhang et al.
Summary of Fair Distributed Machine Learning with Imbalanced Data As a Stackelberg Evolutionary Game, by Sebastian Niehaus et al.
Summary of Formal Mathematical Reasoning: a New Frontier in Ai, by Kaiyu Yang et al.
Summary of Explainable Ai For Multivariate Time Series Pattern Exploration: Latent Space Visual Analytics with Temporal Fusion Transformer and Variational Autoencoders in Power Grid Event Diagnosis, by Haowen Xu et al.
Summary of Differentially Private Federated Learning Of Diffusion Models For Synthetic Tabular Data Generation, by Timur Sattarov et al.
Summary of Deciphering the Underserved: Benchmarking Llm Ocr For Low-resource Scripts, by Muhammad Abdullah Sohail et al.
Summary of Leda: Log-euclidean Diffeomorphic Autoencoder For Efficient Statistical Analysis Of Diffeomorphism, by Krithika Iyer et al.
Summary of Offline Reinforcement Learning For Llm Multi-step Reasoning, by Huaijie Wang et al.
Summary of Ef-net: a Deep Learning Approach Combining Word Embeddings and Feature Fusion For Patient Disposition Analysis, by Nafisa Binte Feroz et al.
Summary of Fedgat: a Privacy-preserving Federated Approximation Algorithm For Graph Attention Networks, by Siddharth Ambekar et al.
Summary of Personalized Representation From Personalized Generation, by Shobhita Sundaram et al.
Summary of Superposition Through Active Learning Lens, by Akanksha Devkar
Summary of Context Clues: Evaluating Long Context Models For Clinical Prediction Tasks on Ehrs, by Michael Wornow et al.
Summary of Hashevict: a Pre-attention Kv Cache Eviction Strategy Using Locality-sensitive Hashing, by Minghui Liu et al.
Summary of Real-valued Continued Fraction Of Straight Lines, by Vijay Prakash S
Summary of A Decade Of Deep Learning: a Survey on the Magnificent Seven, by Dilshod Azizov et al.
Summary of Machine Learning-based Automated Assessment Of Intracorporeal Suturing in Laparoscopic Fundoplication, by Shekhar Madhav Khairnar et al.
Summary of Agroxai: Explainable Ai-driven Crop Recommendation System For Agriculture 4.0, by Ozlem Turgut et al.
Summary of Robust Spectral Anomaly Detection in Eels Spectral Images Via Three Dimensional Convolutional Variational Autoencoders, by Seyfal Sultanov et al.
Summary of Stabilizing Machine Learning For Reproducible and Explainable Results: a Novel Validation Approach to Subject-specific Insights, by Gideon Vos et al.
Summary of Aspect-based Few-shot Learning, by Tim Van Engeland et al.
Summary of Critique Of Impure Reason: Unveiling the Reasoning Behaviour Of Medical Large Language Models, by Shamus Sim and Tyrone Chen
Summary of Function Space Diversity For Uncertainty Prediction Via Repulsive Last-layer Ensembles, by Sophie Steger et al.
Summary of Webllm: a High-performance In-browser Llm Inference Engine, by Charlie F. Ruan et al.
Summary of Deep Learning Joint Extremes Of Metocean Variables Using the Spar Model, by Ed Mackay et al.
Summary of Using Matrix-product States For Time-series Machine Learning, by Joshua B. Moore et al.
Summary of Measuring Cross-modal Interactions in Multimodal Models, by Laura Wenderoth et al.
Summary of Improving Quantization-aware Training Of Low-precision Network Via Block Replacement on Full-precision Counterpart, by Chengting Yu et al.
Summary of On Robust Cross Domain Alignment, by Anish Chakrabarty et al.
Summary of Markovtype: a Markov Decision Process Strategy For Non-invasive Brain-computer Interfaces Typing Systems, by Elifnur Sunger et al.
Summary of Bayesian Optimization For Unknown Cost-varying Variable Subsets with No-regret Costs, by Vu Viet Hoang et al.
Summary of Statistical Modeling Of Univariate Multimodal Data, by Paraskevi Chasani and Aristidis Likas
Summary of What Are Step-level Reward Models Rewarding? Counterintuitive Findings From Mcts-boosted Mathematical Reasoning, by Yiran Ma et al.
Summary of Self-supervised Spatial-temporal Learner For Precipitation Nowcasting, by Haotian Li et al.
Summary of Black-box Uniform Stability For Non-euclidean Empirical Risk Minimization, by Simon Vary et al.
Summary of Ritta: Modeling Event Relations in Text-to-audio Generation, by Yuhang He et al.
Summary of Never Reset Again: a Mathematical Framework For Continual Inference in Recurrent Neural Networks, by Bojian Yin et al.
Summary of Cnn-lstm Hybrid Deep Learning Model For Remaining Useful Life Estimation, by Muthukumar G and Jyosna Philip
Summary of Choose Your Explanation: a Comparison Of Shap and Gradcam in Human Activity Recognition, by Felix Tempel et al.
Summary of Learning Sparsity-promoting Regularizers For Linear Inverse Problems, by Giovanni S. Alberti et al.
Summary of A Framework For Streaming Event-log Prediction in Business Processes, by Benedikt Bollig et al.
Summary of Ngqa: a Nutritional Graph Question Answering Benchmark For Personalized Health-aware Nutritional Reasoning, by Zheyuan Zhang et al.
Summary of Autorank: Mcda Based Rank Personalization For Lora-enabled Distributed Learning, by Shuaijun Chen et al.
Summary of Architecture-aware Learning Curve Extrapolation Via Graph Ordinary Differential Equation, by Yanna Ding et al.
Summary of Spatial Clustering Of Citizen Science Data Improves Downstream Species Distribution Models, by Nahian Ahmed et al.
Summary of In-context Continual Learning Assisted by An External Continual Learner, By Saleh Momeni et al.
Summary of Continual Learning Using a Kernel-based Method Over Foundation Models, by Saleh Momeni et al.
Summary of Saliencyi2ploc: Saliency-guided Image-point Cloud Localization Using Contrastive Learning, by Yuhao Li et al.
Summary of A Deep Probabilistic Framework For Continuous Time Dynamic Graph Generation, by Ryien Hosseini et al.
Summary of Pre-training Graph Neural Networks on Molecules by Using Subgraph-conditioned Graph Information Bottleneck, By Van Thuy Hoang and O-joun Lee
Summary of Machine Learning Techniques For Pattern Recognition in High-dimensional Data Mining, by Pochun Li
Summary of Long-term Eeg Partitioning For Seizure Onset Detection, by Zheng Chen et al.
Summary of Beyond Human Data: Aligning Multimodal Large Language Models by Iterative Self-evolution, By Wentao Tan et al.
Summary of Synthetic Tabular Data Generation For Imbalanced Classification: the Surprising Effectiveness Of An Overlap Class, by Annie D’souza et al.