Paper List

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Summary of Methods to Improve Run Time Of Hydrologic Models: Opportunities and Challenges in the Machine Learning Era, by Supath Dhital
Summary of One-shot Collaborative Data Distillation, by William Holland et al.
Summary of Heart Rate and Its Variability From Short-term Ecg Recordings As Biomarkers For Detecting Mild Cognitive Impairment in Indian Population, by Anjo Xavier et al.
Summary of Neural Network Emulator For Atmospheric Chemical Ode, by Zhi-song Liu et al.
Summary of Stda: Spatio-temporal Dual-encoder Network Incorporating Driver Attention to Predict Driver Behaviors Under Safety-critical Scenarios, by Dongyang Xu et al.
Summary of Stbllm: Breaking the 1-bit Barrier with Structured Binary Llms, by Peijie Dong et al.
Summary of Cost-constrained Multi-label Group Feature Selection Using Shadow Features, by Tomasz Klonecki et al.
Summary of Batch Active Learning in Gaussian Process Regression Using Derivatives, by Hon Sum Alec Yu et al.
Summary of Meta-posterior Consistency For the Bayesian Inference Of Metastable System, by Zachary P Adams and Sayan Mukherjee
Summary of Malade: Orchestration Of Llm-powered Agents with Retrieval Augmented Generation For Pharmacovigilance, by Jihye Choi et al.
Summary of Efficient Solutions For An Intriguing Failure Of Llms: Long Context Window Does Not Mean Llms Can Analyze Long Sequences Flawlessly, by Peyman Hosseini et al.
Summary of Safe Semi-supervised Contrastive Learning Using In-distribution Data As Positive Examples, by Min Gu Kwak et al.
Summary of Image Clustering Algorithm Based on Self-supervised Pretrained Models and Latent Feature Distribution Optimization, by Qiuyu Zhu and Liheng Hu and Sijin Wang
Summary of Walk Wisely on Graph: Knowledge Graph Reasoning with Dual Agents Via Efficient Guidance-exploration, by Zijian Wang et al.
Summary of Efficient Decision Trees For Tensor Regressions, by Hengrui Luo et al.
Summary of Top K Enhanced Reinforcement Learning Attacks on Heterogeneous Graph Node Classification, by Honglin Gao and Gaoxi Xiao
Summary of A Multi-task Deep Learning Approach For Lane-level Pavement Performance Prediction with Segment-level Data, by Bo Wang and Wenbo Zhang and Yunpeng Li
Summary of Dataset Scale and Societal Consistency Mediate Facial Impression Bias in Vision-language Ai, by Robert Wolfe et al.
Summary of Rvi-sac: Average Reward Off-policy Deep Reinforcement Learning, by Yukinari Hisaki et al.
Summary of Personalized Federated Learning on Heterogeneous and Long-tailed Data Via Expert Collaborative Learning, by Fengling Lv and Xinyi Shang and Yang Zhou and Yiqun Zhang and Mengke Li and Yang Lu
Summary of Multiview Learning with Twin Parametric Margin Svm, by A. Quadir et al.
Summary of Metawears: a Shortcut in Wearable Systems Lifecycle with Only a Few Shots, by Alireza Amirshahi et al.
Summary of Unsupervised Representation Learning by Balanced Self Attention Matching, By Daniel Shalam and Simon Korman
Summary of Gradient Flow in Parameter Space Is Equivalent to Linear Interpolation in Output Space, by Thomas Chen et al.
Summary of Active Learning For Neural Pde Solvers, by Daniel Musekamp et al.
Summary of Counterfactual Explanations For Medical Image Classification and Regression Using Diffusion Autoencoder, by Matan Atad et al.
Summary of Momentum Capture and Prediction System Based on Wimbledon Open2023 Tournament Data, by Chang Liu et al.
Summary of Huge Ensembles Part Ii: Properties Of a Huge Ensemble Of Hindcasts Generated with Spherical Fourier Neural Operators, by Ankur Mahesh et al.
Summary of Deep Learning Framework For History Matching Co2 Storage with 4d Seismic and Monitoring Well Data, by Nanzhe Wang et al.
Summary of Conformal Diffusion Models For Individual Treatment Effect Estimation and Inference, by Hengrui Cai et al.
Summary of Trustworthy Machine Learning Under Social and Adversarial Data Sources, by Han Shao
Summary of Physics-informed Geometry-aware Neural Operator, by Weiheng Zhong et al.
Summary of Fivb Ranking: Misstep in the Right Direction, by Salma Tenni et al.
Summary of Data-driven Machine Learning Approaches For Predicting In-hospital Sepsis Mortality, by Arseniy Shumilov et al.
Summary of Deep Learning Meets Obia: Tasks, Challenges, Strategies, and Perspectives, by Lei Ma et al.
Summary of Fair Risk Minimization Under Causal Path-specific Effect Constraints, by Razieh Nabi et al.
Summary of Intuitionistic Fuzzy Generalized Eigenvalue Proximal Support Vector Machine, by A. Quadir et al.
Summary of Treecss: An Efficient Framework For Vertical Federated Learning, by Qinbo Zhang et al.
Summary of Invariant Graph Learning Meets Information Bottleneck For Out-of-distribution Generalization, by Wenyu Mao et al.
Summary of Can Llms Predict the Convergence Of Stochastic Gradient Descent?, by Oussama Zekri et al.
Summary of Joint Model Pruning and Resource Allocation For Wireless Time-triggered Federated Learning, by Xinlu Zhang et al.
Summary of Classical Machine Learning: Seventy Years Of Algorithmic Learning Evolution, by Absalom E. Ezugwu et al.
Summary of Comparison Of Embedded Spaces For Deep Learning Classification, by Stefan Scholl
Summary of Point Prediction For Streaming Data, by Aleena Chanda and N. V. Vinodchandran and Bertrand Clarke
Summary of Unifiednn: Efficient Neural Network Training on the Cloud, by Sifat Ut Taki et al.
Summary of Hmdn: Hierarchical Multi-distribution Network For Click-through Rate Prediction, by Xingyu Lou et al.
Summary of Sparse Linear Regression When Noises and Covariates Are Heavy-tailed and Contaminated by Outliers, By Takeyuki Sasai and Hironori Fujisawa
Summary of Stitchfusion: Weaving Any Visual Modalities to Enhance Multimodal Semantic Segmentation, by Bingyu Li et al.
Summary of Autoencoders in Function Space, by Justin Bunker et al.
Summary of Hybrid Coordinate Descent For Efficient Neural Network Learning Using Line Search and Gradient Descent, by Yen-che Hsiao and Abhishek Dutta
Summary of Resampling and Averaging Coordinates on Data, by Andrew J. Blumberg et al.
Summary of Adaptive Recruitment Resource Allocation to Improve Cohort Representativeness in Participatory Biomedical Datasets, by Victor Borza et al.
Summary of Pre-trained Language Models Improve the Few-shot Prompt Ability Of Decision Transformer, by Yu Yang et al.
Summary of Derivation Of Back-propagation For Graph Convolutional Networks Using Matrix Calculus and Its Application to Explainable Artificial Intelligence, by Yen-che Hsiao et al.
Summary of Conditional Lora Parameter Generation, by Xiaolong Jin et al.
Summary of The Quest For the Right Mediator: a History, Survey, and Theoretical Grounding Of Causal Interpretability, by Aaron Mueller et al.
Summary of Talk Less, Interact Better: Evaluating In-context Conversational Adaptation in Multimodal Llms, by Yilun Hua and Yoav Artzi
Summary of Mission Impossible: a Statistical Perspective on Jailbreaking Llms, by Jingtong Su et al.
Summary of Using a Cnn Model to Assess Paintings’ Creativity, by Zhehan Zhang et al.
Summary of Vlg-cbm: Training Concept Bottleneck Models with Vision-language Guidance, by Divyansh Srivastava et al.
Summary of Efficient Graph Coloring with Neural Networks: a Physics-inspired Approach For Large Graphs, by Lorenzo Colantonio (1) et al.
Summary of Using Llms to Establish Implicit User Sentiment Of Software Desirability, by Sherri Weitl-harms et al.
Summary of An Efficient Real-time Object Detection Framework on Resource-constricted Hardware Devices Via Software and Hardware Co-design, by Mingshuo Liu et al.
Summary of Tensor Train Low-rank Approximation (tt-lora): Democratizing Ai with Accelerated Llms, by Afia Anjum et al.
Summary of Ibb Traffic Graph Data: Benchmarking and Road Traffic Prediction Model, by Eren Olug et al.
Summary of Gnn-skan: Harnessing the Power Of Swallowkan to Advance Molecular Representation Learning with Gnns, by Ruifeng Li et al.
Summary of A Family Of Distributions Of Random Subsets For Controlling Positive and Negative Dependence, by Takahiro Kawashima et al.
Summary of A Survey Of Mamba, by Haohao Qu et al.
Summary of Universality Of Kernel Random Matrices and Kernel Regression in the Quadratic Regime, by Parthe Pandit and Zhichao Wang and Yizhe Zhu
Summary of An Encoding–searching Separation Perspective on Bi-encoder Neural Search, by Hung-nghiep Tran et al.
Summary of Enhanced Prediction Of Ventilator-associated Pneumonia in Patients with Traumatic Brain Injury Using Advanced Machine Learning Techniques, by Negin Ashrafi et al.
Summary of Tcr-gpt: Integrating Autoregressive Model and Reinforcement Learning For T-cell Receptor Repertoires Generation, by Yicheng Lin et al.
Summary of Domain Adaptation-enhanced Searchlight: Enabling Classification Of Brain States From Visual Perception to Mental Imagery, by Alexander Olza et al.
Summary of Znorm: Z-score Gradient Normalization Accelerating Skip-connected Network Training Without Architectural Modification, by Juyoung Yun
Summary of Automated Classification Of Dry Bean Varieties Using Xgboost and Svm Models, by Ramtin Ardeshirifar
Summary of Deep Progressive Reinforcement Learning-based Flexible Resource Scheduling Framework For Irs and Uav-assisted Mec System, by Li Dong et al.
Summary of Certified Robust Invariant Polytope Training in Neural Controlled Odes, by Akash Harapanahalli et al.
Summary of Feature Clock: High-dimensional Effects in Two-dimensional Plots, by Olga Ovcharenko and Rita Sevastjanova and Valentina Boeva
Summary of A Tiny Supervised Odl Core with Auto Data Pruning For Human Activity Recognition, by Hiroki Matsutani et al.
Summary of Assessing Robustness Of Machine Learning Models Using Covariate Perturbations, by Arun Prakash R et al.
Summary of A Decision-driven Methodology For Designing Uncertainty-aware Ai Self-assessment, by Gregory Canal et al.
Summary of Decentralized Smoothing Admm For Quantile Regression with Non-convex Sparse Penalties, by Reza Mirzaeifard et al.
Summary of Optimal Mixed Integer Linear Optimization Trained Multivariate Classification Trees, by Brandon Alston et al.
Summary of Enhancing Changepoint Detection: Penalty Learning Through Deep Learning Techniques, by Tung L Nguyen et al.
Summary of Unimot: Unified Molecule-text Language Model with Discrete Token Representation, by Juzheng Zhang et al.
Summary of On the Relationship Between Monotone and Squared Probabilistic Circuits, by Benjie Wang and Guy Van Den Broeck
Summary of Online Detection Of Anomalies in Temporal Knowledge Graphs with Interpretability, by Jiasheng Zhang et al.
Summary of Parkinson’s Disease Detection From Resting State Eeg Using Multi-head Graph Structure Learning with Gradient Weighted Graph Attention Explanations, by Christopher Neves et al.
Summary of Distance-preserving Spatial Representations in Genomic Data, by Wenbin Zhou and Jin-hong Du
Summary of Towards Certified Unlearning For Deep Neural Networks, by Binchi Zhang et al.
Summary of Automatic Pull Request Description Generation Using Llms: a T5 Model Approach, by Md Nazmus Sakib et al.
Summary of Verification Of Machine Unlearning Is Fragile, by Binchi Zhang et al.
Summary of Enabling High Data Throughput Reinforcement Learning on Gpus: a Domain Agnostic Framework For Data-driven Scientific Research, by Tian Lan et al.
Summary of Generalisation Of Total Uncertainty in Ai: a Theoretical Study, by Keivan Shariatmadar
Summary of Equivariant Neural Networks and Piecewise Linear Representation Theory, by Joel Gibson et al.
Summary of Mis-me: a Multi-modal Framework For Soil Moisture Estimation, by Mohammed Rakib et al.
Summary of Aggregation Models with Optimal Weights For Distributed Gaussian Processes, by Haoyuan Chen et al.
Summary of Meta-anova: Screening Interactions For Interpretable Machine Learning, by Yongchan Choi et al.
Summary of Reconstructing Richtmyer-meshkov Instabilities From Noisy Radiographs Using Low Dimensional Features and Attention-based Neural Networks, by Daniel A. Serino et al.
Summary of Fairness in Large Language Models in Three Hours, by Thang Doan Viet et al.