Paper List

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Summary of What Matters in Range View 3d Object Detection, by Benjamin Wilson et al.
Summary of Vismin: Visual Minimal-change Understanding, by Rabiul Awal et al.
Summary of Distribution-aware Robust Learning From Long-tailed Data with Noisy Labels, by Jae Soon Baik et al.
Summary of Efficient Detection Of Commutative Factors in Factor Graphs, by Malte Luttermann et al.
Summary of A Deeper Look at Depth Pruning Of Llms, by Shoaib Ahmed Siddiqui et al.
Summary of Federated Learning For Face Recognition Via Intra-subject Self-supervised Learning, by Hansol Kim et al.
Summary of Strike a Balance in Continual Panoptic Segmentation, by Jinpeng Chen et al.
Summary of On the Expressive Power Of Knowledge Graph Embedding Methods, by Jiexing Gao et al.
Summary of State: a Robust Ate Estimator Of Heavy-tailed Metrics For Variance Reduction in Online Controlled Experiments, by Hao Zhou et al.
Summary of Online Learning with Sublinear Best-action Queries, by Matteo Russo et al.
Summary of Navigating Uncertainty in Medical Image Segmentation, by Kilian Zepf et al.
Summary of Anwendung Von Causal-discovery-algorithmen Zur Root-cause-analyse in Der Fahrzeugmontage, by Lucas Possner et al.
Summary of Bayesian Autoregressive Online Change-point Detection with Time-varying Parameters, by Ioanna-yvonni Tsaknaki et al.
Summary of Hi-ef: Benchmarking Emotion Forecasting in Human-interaction, by Haoran Wang et al.
Summary of On Admm in Heterogeneous Federated Learning: Personalization, Robustness, and Fairness, by Shengkun Zhu et al.
Summary of Can Time Series Forecasting Be Automated? a Benchmark and Analysis, by Anvitha Thirthapura Sreedhara et al.
Summary of Lymphoid Infiltration Assessment Of the Tumor Margins in H&e Slides, by Zhuxian Guo et al.
Summary of Sobolev Neural Network with Residual Weighting As a Surrogate in Linear and Non-linear Mechanics, by A.o.m. Kilicsoy et al.
Summary of Learning Constraint Network From Demonstrations Via Positive-unlabeled Learning with Memory Replay, by Baiyu Peng et al.
Summary of Bones: a Benchmark For Neural Estimation Of Shapley Values, by Davide Napolitano et al.
Summary of Spurious Correlations in Concept Drift: Can Explanatory Interaction Help?, by Cristiana Lalletti and Stefano Teso
Summary of Enhancing Gnns Performance on Combinatorial Optimization by Recurrent Feature Update, By Daria Pugacheva et al.
Summary of Imperfect Vision Encoders: Efficient and Robust Tuning For Vision-language Models, by Aristeidis Panos et al.
Summary of Generalizing Teacher Networks For Effective Knowledge Distillation Across Student Architectures, by Kuluhan Binici et al.
Summary of Hiervar: a Hierarchical Feature Selection Method For Time Series Analysis, by Alireza Keshavarzian et al.
Summary of Artificial Intelligence-based Decision Support Systems For Precision and Digital Health, by Nina Deliu and Bibhas Chakraborty
Summary of Universal Spectral Transfer with Physical Prior-informed Deep Generative Learning, by Yanmin Zhu et al.
Summary of Lca-on-the-line: Benchmarking Out-of-distribution Generalization with Class Taxonomies, by Jia Shi et al.
Summary of Transformer-based Graph Neural Networks For Battery Range Prediction in Aiot Battery-swap Services, by Zhao Li et al.
Summary of Diffusion Transformer Captures Spatial-temporal Dependencies: a Theory For Gaussian Process Data, by Hengyu Fu et al.
Summary of Towards Effective Fusion and Forecasting Of Multimodal Spatio-temporal Data For Smart Mobility, by Chenxing Wang
Summary of Tackling Feature-classifier Mismatch in Federated Learning Via Prompt-driven Feature Transformation, by Xinghao Wu et al.
Summary of Diffusion Models As Optimizers For Efficient Planning in Offline Rl, by Renming Huang et al.
Summary of Predicting Stock Prices with Finbert-lstm: Integrating News Sentiment Analysis, by Wenjun Gu et al.
Summary of Improved Few-shot Image Classification Through Multiple-choice Questions, by Dipika Khullar et al.
Summary of Transfeat-tpp: An Interpretable Deep Covariate Temporal Point Processes, by Zizhuo Meng et al.
Summary of On the Benefits Of Rank in Attention Layers, by Noah Amsel et al.
Summary of Representation Magnitude Has a Liability to Privacy Vulnerability, by Xingli Fang and Jung-eun Kim
Summary of Pixel Embedding: Fully Quantized Convolutional Neural Network with Differentiable Lookup Table, by Hiroyuki Tokunaga et al.
Summary of Logifold: a Geometrical Foundation Of Ensemble Machine Learning, by Inkee Jung et al.
Summary of Odgr: Online Dynamic Goal Recognition, by Matan Shamir et al.
Summary of Algebraic Adversarial Attacks on Integrated Gradients, by Lachlan Simpson et al.
Summary of Self-reasoning Assistant Learning For Non-abelian Gauge Fields Design, by Jinyang Sun et al.
Summary of Enhancing Wildfire Forecasting Through Multisource Spatio-temporal Data, Deep Learning, Ensemble Models and Transfer Learning, by Ayoub Jadouli et al.
Summary of Diff4vs: Hiv-inhibiting Molecules Generation with Classifier Guidance Diffusion For Virtual Screening, by Jiaqing Lyu and Changjie Chen and Bing Liang and Yijia Zhang
Summary of Ensemble Quantile-based Deep Learning Framework For Streamflow and Flood Prediction in Australian Catchments, by Rohitash Chandra et al.
Summary of Improving Prediction Of Need For Mechanical Ventilation Using Cross-attention, by Anwesh Mohanty et al.
Summary of Separable Deeponet: Breaking the Curse Of Dimensionality in Physics-informed Machine Learning, by Luis Mandl et al.
Summary of Razorattention: Efficient Kv Cache Compression Through Retrieval Heads, by Hanlin Tang et al.
Summary of Cascaded Two-stage Feature Clustering and Selection Via Separability and Consistency in Fuzzy Decision Systems, by Yuepeng Chen et al.
Summary of Mini-sequence Transformer: Optimizing Intermediate Memory For Long Sequences Training, by Cheng Luo et al.
Summary of Spatial-temporal Cross-view Contrastive Pre-training For Check-in Sequence Representation Learning, by Letian Gong et al.
Summary of Improving Probabilistic Forecasts Of Extreme Wind Speeds by Training Statistical Post-processing Models with Weighted Scoring Rules, By Jakob Benjamin Wessel et al.
Summary of Enhancing Cognitive Workload Classification Using Integrated Lstm Layers and Cnns For Fnirs Data Analysis, by Mehshan Ahmed Khan et al.
Summary of An Ad-hoc Graph Node Vector Embedding Algorithm For General Knowledge Graphs Using Kinetica-graph, by B. Kaan Karamete and Eli Glaser
Summary of Comprehensive Study on Performance Evaluation and Optimization Of Model Compression: Bridging Traditional Deep Learning and Large Language Models, by Aayush Saxena et al.
Summary of A Survey Of Explainable Artificial Intelligence (xai) in Financial Time Series Forecasting, by Pierre-daniel Arsenault et al.
Summary of Development Of Multistage Machine Learning Classifier Using Decision Trees and Boosting Algorithms Over Darknet Network Traffic, by Anjali Sureshkumar Nair et al.
Summary of Aide: Antithetical, Intent-based, and Diverse Example-based Explanations, by Ikhtiyor Nematov et al.
Summary of Pavement Fatigue Crack Detection and Severity Classification Based on Convolutional Neural Network, by Zhen Wang and Dylan G. Ildefonzo and Linbing Wang
Summary of Exploring and Addressing Reward Confusion in Offline Preference Learning, by Xin Chen et al.
Summary of Transformer-based Capacity Prediction For Lithium-ion Batteries with Data Augmentation, by Gift Modekwe et al.
Summary of Enhancing Temporal Understanding in Llms For Semi-structured Tables, by Irwin Deng et al.
Summary of Stamp: Outlier-aware Test-time Adaptation with Stable Memory Replay, by Yongcan Yu et al.
Summary of Concept-based Interpretable Reinforcement Learning with Limited to No Human Labels, by Zhuorui Ye and Stephanie Milani and Geoffrey J. Gordon and Fei Fang
Summary of Robust Mixture Learning When Outliers Overwhelm Small Groups, by Daniil Dmitriev et al.
Summary of Stretching Each Dollar: Diffusion Training From Scratch on a Micro-budget, by Vikash Sehwag et al.
Summary of Clip with Generative Latent Replay: a Strong Baseline For Incremental Learning, by Emanuele Frascaroli et al.
Summary of Perceptions Of Linguistic Uncertainty by Language Models and Humans, By Catarina G Belem et al.
Summary of Handdgp: Camera-space Hand Mesh Prediction with Differentiable Global Positioning, by Eugene Valassakis et al.
Summary of Reconstructing Training Data From Real World Models Trained with Transfer Learning, by Yakir Oz et al.
Summary of A Survey on Trustworthiness in Foundation Models For Medical Image Analysis, by Congzhen Shi et al.
Summary of Bora: Bayesian Hierarchical Low-rank Adaption For Multi-task Large Language Models, by Simen Eide et al.
Summary of Performance Evaluation Of Lightweight Open-source Large Language Models in Pediatric Consultations: a Comparative Analysis, by Qiuhong Wei et al.
Summary of Overfitting in Contrastive Learning?, by Zachary Rabin et al.
Summary of A Survey Of Ai-powered Mini-grid Solutions For a Sustainable Future in Rural Communities, by Craig Pirie et al.
Summary of Smartquant: Cxl-based Ai Model Store in Support Of Runtime Configurable Weight Quantization, by Rui Xie et al.
Summary of Long Input Sequence Network For Long Time Series Forecasting, by Chao Ma et al.
Summary of Semantic Prototypes: Enhancing Transparency Without Black Boxes, by Orfeas Menis-mastromichalakis et al.
Summary of A Reinforcement Learning Strategy to Automate and Accelerate H/p-multigrid Solvers, by David Huergo et al.
Summary of Crmsp: a Semi-supervised Approach For Key Information Extraction with Class-rebalancing and Merged Semantic Pseudo-labeling, by Qi Zhang et al.
Summary of Gaussian Process Model with Tensorial Inputs and Its Application to the Design Of 3d Printed Antennas, by Xi Chen et al.
Summary of Shapley Pruning For Neural Network Compression, by Kamil Adamczewski et al.
Summary of Exterior Penalty Policy Optimization with Penalty Metric Network Under Constraints, by Shiqing Gao et al.
Summary of Inverted Activations: Reducing Memory Footprint in Neural Network Training, by Georgii Novikov et al.
Summary of Latent Adversarial Training Improves Robustness to Persistent Harmful Behaviors in Llms, by Abhay Sheshadri et al.
Summary of A New Theoretical Perspective on Data Heterogeneity in Federated Optimization, by Jiayi Wang et al.
Summary of Annealed Multiple Choice Learning: Overcoming Limitations Of Winner-takes-all with Annealing, by David Perera et al.
Summary of Exploring the Effectiveness Of Object-centric Representations in Visual Question Answering: Comparative Insights with Foundation Models, by Amir Mohammad Karimi Mamaghan et al.
Summary of Discrete Flow Matching, by Itai Gat et al.
Summary of Distance-based Mutual Congestion Feature Selection with Genetic Algorithm For High-dimensional Medical Datasets, by Hossein Nematzadeh et al.
Summary of How to Shrink Confidence Sets For Many Equivalent Discrete Distributions?, by Odalric-ambrym Maillard and Mohammad Sadegh Talebi
Summary of Radiorag: Factual Large Language Models For Enhanced Diagnostics in Radiology Using Online Retrieval Augmented Generation, by Soroosh Tayebi Arasteh et al.
Summary of Haloquest: a Visual Hallucination Dataset For Advancing Multimodal Reasoning, by Zhecan Wang et al.
Summary of Estimating Probability Densities with Transformer and Denoising Diffusion, by Henry W. Leung et al.
Summary of Softcvi: Contrastive Variational Inference with Self-generated Soft Labels, by Daniel Ward et al.
Summary of Do Large Language Models Have Compositional Ability? An Investigation Into Limitations and Scalability, by Zhuoyan Xu et al.
Summary of Beyond Size and Class Balance: Alpha As a New Dataset Quality Metric For Deep Learning, by Josiah Couch et al.
Summary of Diffusion For Out-of-distribution Detection on Road Scenes and Beyond, by Silvio Galesso et al.
Summary of Parallel Split Learning with Global Sampling, by Mohammad Kohankhaki et al.