Paper List

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Summary of The Surprising Harmfulness Of Benign Overfitting For Adversarial Robustness, by Yifan Hao et al.
Summary of Multimodal Data Curation Via Object Detection and Filter Ensembles, by Tzu-heng Huang et al.
Summary of Diffusion Representation For Asymmetric Kernels, by Alvaro Almeida Gomez et al.
Summary of Ada-gnn: Atom-distance-angle Graph Neural Network For Crystal Material Property Prediction, by Jiao Huang and Qianli Xing and Jinglong Ji and Bo Yang
Summary of Lightdic: a Simple Yet Effective Approach For Large-scale Digraph Representation Learning, by Xunkai Li et al.
Summary of Semantic Prompt Learning For Weakly-supervised Semantic Segmentation, by Ci-siang Lin et al.
Summary of Knowledge Distillation on Spatial-temporal Graph Convolutional Network For Traffic Prediction, by Mohammad Izadi et al.
Summary of Generalization and Informativeness Of Conformal Prediction, by Matteo Zecchin et al.
Summary of Hallucination Is Inevitable: An Innate Limitation Of Large Language Models, by Ziwei Xu et al.
Summary of Privacy-preserving Data Fusion For Traffic State Estimation: a Vertical Federated Learning Approach, by Qiqing Wang et al.
Summary of Learning to Approximate Adaptive Kernel Convolution on Graphs, by Jaeyoon Sim et al.
Summary of Self-labeling the Job Shop Scheduling Problem, by Andrea Corsini et al.
Summary of Adaptive Fusion Of Multi-view Remote Sensing Data For Optimal Sub-field Crop Yield Prediction, by Francisco Mena et al.
Summary of Benchmarking Large Multimodal Models Against Common Corruptions, by Jiawei Zhang et al.
Summary of A Review Of Physics-informed Machine Learning Methods with Applications to Condition Monitoring and Anomaly Detection, by Yuandi Wu et al.
Summary of Parsimony or Capability? Decomposition Delivers Both in Long-term Time Series Forecasting, by Jinliang Deng et al.
Summary of Low-tubal-rank Tensor Recovery Via Factorized Gradient Descent, by Zhiyu Liu et al.
Summary of Cross-validation Conformal Risk Control, by Kfir M. Cohen et al.
Summary of Scaling Face Interaction Graph Networks to Real World Scenes, by Tatiana Lopez-guevara et al.
Summary of Expert-driven Monitoring Of Operational Ml Models, by Joran Leest et al.
Summary of Integrating Statistical Significance and Discriminative Power in Pattern Discovery, by Leonardo Alexandre and Rafael S. Costa and Rui Henriques
Summary of Hgbnet: Predicting Hemoglobin Level/anemia Degree From Ehr Data, by Zhuo Zhi et al.
Summary of Tensor-view Topological Graph Neural Network, by Tao Wen et al.
Summary of Lw-fedssl: Resource-efficient Layer-wise Federated Self-supervised Learning, by Ye Lin Tun et al.
Summary of Next Visit Diagnosis Prediction Via Medical Code-centric Multimodal Contrastive Ehr Modelling with Hierarchical Regularisation, by Heejoon Koo
Summary of Differentiable Tree Search Network, by Dixant Mittal and Wee Sun Lee
Summary of Ondev-lct: On-device Lightweight Convolutional Transformers Towards Federated Learning, by Chu Myaet Thwal et al.
Summary of Accelerating Approximate Thompson Sampling with Underdamped Langevin Monte Carlo, by Haoyang Zheng et al.
Summary of Zero-space Cost Fault Tolerance For Transformer-based Language Models on Reram, by Bingbing Li et al.
Summary of P2dt: Mitigating Forgetting in Task-incremental Learning with Progressive Prompt Decision Transformer, by Zhiyuan Wang et al.
Summary of Parametric Matrix Models, by Patrick Cook et al.
Summary of Incprompt: Task-aware Incremental Prompting For Rehearsal-free Class-incremental Learning, by Zhiyuan Wang et al.
Summary of An Improved Grey Wolf Optimization Algorithm For Heart Disease Prediction, by Sihan Niu et al.
Summary of Admission Prediction in Undergraduate Applications: An Interpretable Deep Learning Approach, by Amisha Priyadarshini et al.
Summary of Mastering Text-to-image Diffusion: Recaptioning, Planning, and Generating with Multimodal Llms, by Ling Yang et al.
Summary of Graph Condensation: a Survey, by Xinyi Gao et al.
Summary of Detecting Out-of-distribution Samples Via Conditional Distribution Entropy with Optimal Transport, by Chuanwen Feng et al.
Summary of Attention on Personalized Clinical Decision Support System: Federated Learning Approach, by Chu Myaet Thwal et al.
Summary of Emerdiff: Emerging Pixel-level Semantic Knowledge in Diffusion Models, by Koichi Namekata et al.
Summary of Multi-level Cross-modal Alignment For Image Clustering, by Liping Qiu and Qin Zhang and Xiaojun Chen and Shaotian Cai
Summary of Adafgl: a New Paradigm For Federated Node Classification with Topology Heterogeneity, by Xunkai Li et al.
Summary of Fedgta: Topology-aware Averaging For Federated Graph Learning, by Xunkai Li et al.
Summary of Towards Effective and General Graph Unlearning Via Mutual Evolution, by Xunkai Li et al.
Summary of Sequential Model For Predicting Patient Adherence in Subcutaneous Immunotherapy For Allergic Rhinitis, by Yin Li et al.
Summary of Open the Black Box: Step-based Policy Updates For Temporally-correlated Episodic Reinforcement Learning, by Ge Li et al.
Summary of Frost Prediction Using Machine Learning Methods in Fars Province, by Milad Barooni et al.
Summary of Cabuar: California Burned Areas Dataset For Delineation, by Daniele Rege Cambrin et al.
Summary of How Robust Are Energy-based Models Trained with Equilibrium Propagation?, by Siddharth Mansingh et al.
Summary of Information-theoretic State Variable Selection For Reinforcement Learning, by Charles Westphal et al.
Summary of Enhancing Selectivity Using Wasserstein Distance Based Reweighing, by Pratik Worah
Summary of Distributed Multi-task Learning For Stochastic Bandits with Context Distribution and Stage-wise Constraints, by Jiabin Lin and Shana Moothedath
Summary of Thermal Image Calibration and Correction Using Unpaired Cycle-consistent Adversarial Networks, by Hossein Rajoli et al.
Summary of Thompson Sampling For Stochastic Bandits with Noisy Contexts: An Information-theoretic Regret Analysis, by Sharu Theresa Jose and Shana Moothedath
Summary of Understanding the Generalization Benefits Of Late Learning Rate Decay, by Yinuo Ren et al.
Summary of Differentially-private Multi-tier Federated Learning, by Evan Chen et al.
Summary of Scalable High-resolution Pixel-space Image Synthesis with Hourglass Diffusion Transformers, by Katherine Crowson and Stefan Andreas Baumann and Alex Birch and Tanishq Mathew Abraham and Daniel Z. Kaplan and Enrico Shippole
Summary of Graph Edits For Counterfactual Explanations: a Comparative Study, by Angeliki Dimitriou et al.
Summary of Continuous Field Reconstruction From Sparse Observations with Implicit Neural Networks, by Xihaier Luo et al.
Summary of Tight Verification Of Probabilistic Robustness in Bayesian Neural Networks, by Ben Batten et al.
Summary of Freely Long-thinking Transformer (frailt), by Akbay Tabak
Summary of Efficient Local Linearity Regularization to Overcome Catastrophic Overfitting, by Elias Abad Rocamora et al.
Summary of Solving Offline Reinforcement Learning with Decision Tree Regression, by Prajwal Koirala and Cody Fleming
Summary of Nonparametric Density Estimation Via Variance-reduced Sketching, by Yifan Peng et al.
Summary of Closing the Gap Between Td Learning and Supervised Learning — a Generalisation Point Of View, by Raj Ghugare et al.
Summary of Automated Fusion Of Multimodal Electronic Health Records For Better Medical Predictions, by Suhan Cui et al.
Summary of Dacr: Distribution-augmented Contrastive Reconstruction For Time-series Anomaly Detection, by Lixu Wang et al.
Summary of Diffusion Model Conditioning on Gaussian Mixture Model and Negative Gaussian Mixture Gradient, by Weiguo Lu et al.
Summary of Long-term Fair Decision Making Through Deep Generative Models, by Yaowei Hu et al.
Summary of Weakly-supervised Semantic Segmentation Of Circular-scan, Synthetic-aperture-sonar Imagery, by Isaac J. Sledge et al.
Summary of Detecting Hidden Triggers: Mapping Non-markov Reward Functions to Markov, by Gregory Hyde et al.
Summary of Distributionally Robust Policy Evaluation Under General Covariate Shift in Contextual Bandits, by Yihong Guo et al.
Summary of Confidence Preservation Property in Knowledge Distillation Abstractions, by Dmitry Vengertsev et al.
Summary of Pepharmony: a Multi-view Contrastive Learning Framework For Integrated Sequence and Structure-based Peptide Encoding, by Ruochi Zhang et al.
Summary of Moma: Model-based Mirror Ascent For Offline Reinforcement Learning, by Mao Hong et al.
Summary of Language Models As Hierarchy Encoders, by Yuan He et al.
Summary of Medlm: Exploring Language Models For Medical Question Answering Systems, by Niraj Yagnik et al.
Summary of Causal Generative Explainers Using Counterfactual Inference: a Case Study on the Morpho-mnist Dataset, by Will Taylor-melanson and Zahra Sadeghi and Stan Matwin
Summary of Visual Imitation Learning with Calibrated Contrastive Representation, by Yunke Wang et al.
Summary of Enabling Clustering Algorithms to Detect Clusters Of Varying Densities Through Scale-invariant Data Preprocessing, by Sunil Aryal et al.
Summary of Agricultural Recommendation System Based on Deep Learning: a Multivariate Weather Forecasting Approach, by Md Zubair (1) et al.
Summary of Moltailor: Tailoring Chemical Molecular Representation to Specific Tasks Via Text Prompts, by Haoqiang Guo et al.
Summary of Double-bounded Optimal Transport For Advanced Clustering and Classification, by Liangliang Shi et al.
Summary of Grayscale Image Colorization with Gan and Cyclegan in Different Image Domain, by Chen Liang et al.
Summary of Provably Scalable Black-box Variational Inference with Structured Variational Families, by Joohwan Ko et al.
Summary of Bounding Consideration Probabilities in Consider-then-choose Ranking Models, by Ben Aoki-sherwood et al.
Summary of Communication Efficient and Provable Federated Unlearning, by Youming Tao et al.
Summary of Equivariant Graph Neural Operator For Modeling 3d Dynamics, by Minkai Xu et al.
Summary of Learning From Aggregate Responses: Instance Level Versus Bag Level Loss Functions, by Adel Javanmard et al.
Summary of On the Temporal Domain Of Differential Equation Inspired Graph Neural Networks, by Moshe Eliasof et al.
Summary of Sleepnet: Attention-enhanced Robust Sleep Prediction Using Dynamic Social Networks, by Maryam Khalid et al.
Summary of Vonet: Unsupervised Video Object Learning with Parallel U-net Attention and Object-wise Sequential Vae, by Haonan Yu and Wei Xu
Summary of Meta Reinforcement Learning For Strategic Iot Deployments Coverage in Disaster-response Uav Swarms, by Marwan Dhuheir et al.
Summary of Cross-task Affinity Learning For Multitask Dense Scene Predictions, by Dimitrios Sinodinos et al.
Summary of Identification and Estimation Of Conditional Average Partial Causal Effects Via Instrumental Variable, by Yuta Kawakami et al.
Summary of Density Adaptive Attention Is All You Need: Robust Parameter-efficient Fine-tuning Across Multiple Modalities, by Georgios Ioannides et al.
Summary of Fast and Exact Enumeration Of Deep Networks Partitions Regions, by Randall Balestriero et al.
Summary of Document Set Expansion with Positive-unlabeled Learning: a Density Estimation-based Approach, by Haiyang Zhang et al.
Summary of Projected Belief Networks with Discriminative Alignment For Acoustic Event Classification: Rivaling State Of the Art Cnns, by Paul M. Baggenstoss et al.
Summary of Partir: Composing Spmd Partitioning Strategies For Machine Learning, by Sami Alabed et al.
Summary of A Hybrid Approach Of Transfer Learning and Physics-informed Modeling: Improving Dissolved Oxygen Concentration Prediction in An Industrial Wastewater Treatment Plant, by Ece S. Koksal and Erdal Aydin