Paper List

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Summary of Tabularbench: Benchmarking Adversarial Robustness For Tabular Deep Learning in Real-world Use-cases, by Thibault Simonetto et al.
Summary of Fedquit: On-device Federated Unlearning Via a Quasi-competent Virtual Teacher, by Alessio Mora et al.
Summary of Adjusting Model Size in Continual Gaussian Processes: How Big Is Big Enough?, by Guiomar Pescador-barrios et al.
Summary of Model Based and Physics Informed Deep Learning Neural Network Structures, by Ali Mohammad-djafari et al.
Summary of Optimizing V-information For Self-supervised Pre-training Data-effective Medical Foundation Models, by Wenxuan Yang et al.
Summary of Alpha-trimming: Locally Adaptive Tree Pruning For Random Forests, by Nikola Surjanovic et al.
Summary of A Pod-tann Approach For the Multiscale Modeling Of Materials and Macroelement Derivation in Geomechanics, by Giovanni Piunno et al.
Summary of Solving Truly Massive Budgeted Monotonic Pomdps with Oracle-guided Meta-reinforcement Learning, by Manav Vora et al.
Summary of Agent Q: Advanced Reasoning and Learning For Autonomous Ai Agents, by Pranav Putta and Edmund Mills and Naman Garg and Sumeet Motwani and Chelsea Finn and Divyansh Garg and Rafael Rafailov
Summary of Quantification Of Total Uncertainty in the Physics-informed Reconstruction Of Cvsim-6 Physiology, by Mario De Florio et al.
Summary of Deep Index Policy For Multi-resource Restless Matching Bandit and Its Application in Multi-channel Scheduling, by Nida Zamir et al.
Summary of A Review Of Pseudo-labeling For Computer Vision, by Patrick Kage et al.
Summary of Causal Effect Estimation Using Identifiable Variational Autoencoder with Latent Confounders and Post-treatment Variables, by Yang Xie et al.
Summary of Using Advanced Llms to Enhance Smaller Llms: An Interpretable Knowledge Distillation Approach, by Tong Wang et al.
Summary of Enhancing Autonomous Vehicle Perception in Adverse Weather Through Image Augmentation During Semantic Segmentation Training, by Ethan Kou et al.
Summary of Q-exponential Family For Policy Optimization, by Lingwei Zhu et al.
Summary of Chemvlm: Exploring the Power Of Multimodal Large Language Models in Chemistry Area, by Junxian Li et al.
Summary of All-around Neural Collapse For Imbalanced Classification, by Enhao Zhang et al.
Summary of Bilstm and Attention-based Modulation Classification Of Realistic Wireless Signals, by Rohit Udaiwal et al.
Summary of Learning Multi-index Models with Neural Networks Via Mean-field Langevin Dynamics, by Alireza Mousavi-hosseini and Denny Wu and Murat A. Erdogdu
Summary of Ensemble Architecture in Polyp Segmentation, by Hao-yun Hsu et al.
Summary of Enhancing Visual Question Answering Through Ranking-based Hybrid Training and Multimodal Fusion, by Peiyuan Chen and Zecheng Zhang and Yiping Dong and Li Zhou and Han Wang
Summary of Ddim Redux: Mathematical Foundation and Some Extension, by Manhyung Han
Summary of Automato: An Out-of-the-box Persistence-based Clustering Algorithm, by Marius Huber et al.
Summary of Heavy-ball Momentum Accelerated Actor-critic with Function Approximation, by Yanjie Dong et al.
Summary of Dyg-mamba: Continuous State Space Modeling on Dynamic Graphs, by Dongyuan Li and Shiyin Tan and Ying Zhang and Ming Jin and Shirui Pan and Manabu Okumura and Renhe Jiang
Summary of Measuring User Understanding in Dialogue-based Xai Systems, by Dimitry Mindlin et al.
Summary of Blessing Of Dimensionality For Approximating Sobolev Classes on Manifolds, by Hong Ye Tan et al.
Summary of Longwriter: Unleashing 10,000+ Word Generation From Long Context Llms, by Yushi Bai et al.
Summary of A Survey on Model Moerging: Recycling and Routing Among Specialized Experts For Collaborative Learning, by Prateek Yadav et al.
Summary of Discom-kd: Cross-modal Knowledge Distillation Via Disentanglement Representation and Adversarial Learning, by Dino Ienco (evergreen et al.
Summary of A Novel Spatiotemporal Coupling Graph Convolutional Network, by Fanghui Bi
Summary of Masked Eeg Modeling For Driving Intention Prediction, by Jinzhao Zhou et al.
Summary of Dynamic Hypergraph-enhanced Prediction Of Sequential Medical Visits, by Wangying Yang et al.
Summary of Learning Rule-induced Subgraph Representations For Inductive Relation Prediction, by Tianyu Liu et al.
Summary of Persistence Kernels For Classification: a Comparative Study, by Cinzia Bandiziol et al.
Summary of Infinitymath: a Scalable Instruction Tuning Dataset in Programmatic Mathematical Reasoning, by Bo-wen Zhang et al.
Summary of Post-training Sparse Attention with Double Sparsity, by Shuo Yang and Ying Sheng and Joseph E. Gonzalez and Ion Stoica and Lianmin Zheng
Summary of Node Level Graph Autoencoder: Unified Pretraining For Textual Graph Learning, by Wenbin Hu et al.
Summary of Overcoming Imbalanced Safety Data Using Extended Accident Triangle, by Kailai Sun et al.
Summary of A Unified Manifold Similarity Measure Enhancing Few-shot, Transfer, and Reinforcement Learning in Manifold-distributed Datasets, by Sayed W Qayyumi et al.
Summary of Bearing Fault Diagnosis Using Graph Sampling and Aggregation Network, by Jiaying Chen et al.
Summary of Pattern-matching Dynamic Memory Network For Dual-mode Traffic Prediction, by Wenchao Weng et al.
Summary of Unveiling the Flaws: a Critical Analysis Of Initialization Effect on Time Series Anomaly Detection, by Alex Koran et al.
Summary of Rw-nsgcn: a Robust Approach to Structural Attacks Via Negative Sampling, by Shuqi He et al.
Summary of Leveraging Priors Via Diffusion Bridge For Time Series Generation, by Jinseong Park et al.
Summary of Case-based Explainability For Random Forest: Prototypes, Critics, Counter-factuals and Semi-factuals, by Gregory Yampolsky et al.
Summary of Masked Image Modeling: a Survey, by Vlad Hondru et al.
Summary of Slotlifter: Slot-guided Feature Lifting For Learning Object-centric Radiance Fields, by Yu Liu et al.
Summary of Information Geometry and Beta Link For Optimizing Sparse Variational Student-t Processes, by Jian Xu et al.
Summary of Variational Learning Of Gaussian Process Latent Variable Models Through Stochastic Gradient Annealed Importance Sampling, by Jian Xu et al.
Summary of Computation-friendly Graph Neural Network Design by Accumulating Knowledge on Large Language Models, By Jialiang Wang et al.
Summary of Robust Black-box Testing Of Deep Neural Networks Using Co-domain Coverage, by Aishwarya Gupta et al.
Summary of Exploring Domain Shift on Radar-based 3d Object Detection Amidst Diverse Environmental Conditions, by Miao Zhang et al.
Summary of Class-aware and Augmentation-free Contrastive Learning From Label Proportion, by Jialiang Wang et al.
Summary of On a Scale-invariant Approach to Bundle Recommendations in Candy Crush Saga, by Styliani Katsarou et al.
Summary of Integrating Saliency Ranking and Reinforcement Learning For Enhanced Object Detection, by Matthias Bartolo et al.
Summary of Enhancing Multiview Synergy: Robust Learning by Exploiting the Wave Loss Function with Consensus and Complementarity Principles, By A. Quadir et al.
Summary of Efficient Search For Customized Activation Functions with Gradient Descent, by Lukas Strack et al.
Summary of Optimal Bound For Pca with Outliers Using Higher-degree Voronoi Diagrams, by Sajjad Hashemian et al.
Summary of Automatic Feature Recognition and Dimensional Attributes Extraction From Cad Models For Hybrid Additive-subtractive Manufacturing, by Muhammad Tayyab Khan et al.
Summary of Bmft: Achieving Fairness Via Bias-based Weight Masking Fine-tuning, by Yuyang Xue et al.
Summary of Breaking Class Barriers: Efficient Dataset Distillation Via Inter-class Feature Compensator, by Xin Zhang et al.
Summary of Can We Rely on Llm Agents to Draft Long-horizon Plans? Let’s Take Travelplanner As An Example, by Yanan Chen et al.
Summary of Lolgorithm: Integrating Semantic,syntactic and Contextual Elements For Humor Classification, by Tanisha Khurana et al.
Summary of Using Deep Learning to Enhance Electronic Service Quality: Application to Real Estate Websites, by Samaa Elnagar
Summary of Fedrobo: Federated Learning Driven Autonomous Inter Robots Communication For Optimal Chemical Sprays, by Jannatul Ferdaus et al.
Summary of Dilated Convolution with Learnable Spacings, by Ismail Khalfaoui-hassani
Summary of Kernel Sum Of Squares For Data Adapted Kernel Learning Of Dynamical Systems From Data: a Global Optimization Approach, by Daniel Lengyel et al.
Summary of Multi-view Neural Differential Equations For Continuous-time Stream Data in Long-term Traffic Forecasting, by Zibo Liu et al.
Summary of Prompt Recovery For Image Generation Models: a Comparative Study Of Discrete Optimizers, by Joshua Nathaniel Williams et al.
Summary of Implicit Neural Representation For Accurate Cfd Flow Field Prediction, by Laurent De Vito et al.
Summary of Fooling Shap with Output Shuffling Attacks, by Jun Yuan et al.
Summary of Learned Ranking Function: From Short-term Behavior Predictions to Long-term User Satisfaction, by Yi Wu et al.
Summary of Operator Learning Using Random Features: a Tool For Scientific Computing, by Nicholas H. Nelsen et al.
Summary of The Np-hardness Of the Gromov-wasserstein Distance, by Natalia Kravtsova
Summary of Value Of Information and Reward Specification in Active Inference and Pomdps, by Ran Wei
Summary of Variance-reduced Cascade Q-learning: Algorithms and Sample Complexity, by Mohammad Boveiri and Peyman Mohajerin Esfahani
Summary of Prioritizing Modalities: Flexible Importance Scheduling in Federated Multimodal Learning, by Jieming Bian et al.
Summary of Crome: Cross-modal Adapters For Efficient Multimodal Llm, by Sayna Ebrahimi et al.
Summary of Generalized Knowledge-enhanced Framework For Biomedical Entity and Relation Extraction, by Minh Nguyen and Phuong Le
Summary of Towards Robust and Parameter-efficient Knowledge Unlearning For Llms, by Sungmin Cha et al.
Summary of Cod: Learning Conditional Invariant Representation For Domain Adaptation Regression, by Hao-ran Yang et al.
Summary of Perceptual Similarity For Measuring Decision-making Style and Policy Diversity in Games, by Chiu-chou Lin et al.
Summary of Truvrf: Towards Triple-granularity Verification on Machine Unlearning, by Chunyi Zhou et al.
Summary of Fully Bayesian Differential Gaussian Processes Through Stochastic Differential Equations, by Jian Xu et al.
Summary of Neural Network Surrogate and Projected Gradient Descent For Fast and Reliable Finite Element Model Calibration: a Case Study on An Intervertebral Disc, by Matan Atad et al.
Summary of Building Decision Making Models Through Language Model Regime, by Yu Zhang et al.
Summary of A-bdd: Leveraging Data Augmentations For Safe Autonomous Driving in Adverse Weather and Lighting, by Felix Assion et al.
Summary of Approximating Discrimination Within Models When Faced with Several Non-binary Sensitive Attributes, by Yijun Bian et al.
Summary of Centralized and Federated Heart Disease Classification Models Using Uci Dataset and Their Shapley-value Based Interpretability, by Mario Padilla Rodriguez et al.
Summary of A Methodological Report on Anomaly Detection on Dynamic Knowledge Graphs, by Xiaohua Lu and Leshanshui Yang
Summary of Improving Structural Diversity Of Blackbox Llms Via Chain-of-specification Prompting, by Halley Young et al.
Summary of Computability Of Classification and Deep Learning: From Theoretical Limits to Practical Feasibility Through Quantization, by Holger Boche and Vit Fojtik and Adalbert Fono and Gitta Kutyniok
Summary of A Digital Twin Framework Utilizing Machine Learning For Robust Predictive Maintenance: Enhancing Tire Health Monitoring, by Vispi Karkaria et al.
Summary of Reciprocal Learning, by Julian Rodemann et al.
Summary of Open-source Molecular Processing Pipeline For Generating Molecules, by V Shreyas et al.
Summary of Anchored Preference Optimization and Contrastive Revisions: Addressing Underspecification in Alignment, by Karel D’oosterlinck et al.
Summary of Synthetic Patient-physician Dialogue Generation From Clinical Notes Using Llm, by Trisha Das et al.
Summary of Dune: a Machine Learning Deep Unet++ Based Ensemble Approach to Monthly, Seasonal and Annual Climate Forecasting, by Pratik Shukla and Milton Halem