Paper List

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Summary of Overcoming Data Inequality Across Domains with Semi-supervised Domain Generalization, by Jinha Park et al.
Summary of Fairness-aware Interpretable Modeling (faim) For Trustworthy Machine Learning in Healthcare, by Mingxuan Liu et al.
Summary of Erbench: An Entity-relationship Based Automatically Verifiable Hallucination Benchmark For Large Language Models, by Jio Oh et al.
Summary of Trafps: a Shapley-based Visual Analytics Approach to Interpret Traffic, by Zezheng Feng et al.
Summary of Evaluation Of Llms on Syntax-aware Code Fill-in-the-middle Tasks, by Linyuan Gong et al.
Summary of Storm Surge Modeling in the Ai Era: Using Lstm-based Machine Learning For Enhancing Forecasting Accuracy, by Stefanos Giaremis et al.
Summary of Solving Inverse Problems with Model Mismatch Using Untrained Neural Networks Within Model-based Architectures, by Peimeng Guan et al.
Summary of Efficient High-resolution Time Series Classification Via Attention Kronecker Decomposition, by Aosong Feng et al.
Summary of Unitable: Towards a Unified Framework For Table Recognition Via Self-supervised Pretraining, by Shengyun Peng et al.
Summary of A Survey Of Lottery Ticket Hypothesis, by Bohan Liu et al.
Summary of Optimizing Retinal Prosthetic Stimuli with Conditional Invertible Neural Networks, by Yuli Wu et al.
Summary of Identifying Causal Effects Under Functional Dependencies, by Yizuo Chen and Adnan Darwiche
Summary of Control-based Graph Embeddings with Data Augmentation For Contrastive Learning, by Obaid Ullah Ahmad et al.
Summary of On the Markov Property Of Neural Algorithmic Reasoning: Analyses and Methods, by Montgomery Bohde et al.
Summary of Gradient-free Neural Topology Optimization: Towards Effective Fracture-resistant Designs, by Gawel Kus et al.
Summary of Meit: Multi-modal Electrocardiogram Instruction Tuning on Large Language Models For Report Generation, by Zhongwei Wan et al.
Summary of A Spatiotemporal Style Transfer Algorithm For Dynamic Visual Stimulus Generation, by Antonino Greco and Markus Siegel
Summary of Stacking As Accelerated Gradient Descent, by Naman Agarwal and Pranjal Awasthi and Satyen Kale and Eric Zhao
Summary of Can’t Remember Details in Long Documents? You Need Some R&r, by Devanshu Agrawal et al.
Summary of Simple Multigraph Convolution Networks, by Danyang Wu et al.
Summary of Provable Multi-party Reinforcement Learning with Diverse Human Feedback, by Huiying Zhong et al.
Summary of Spectral Invariant Learning For Dynamic Graphs Under Distribution Shifts, by Zeyang Zhang et al.
Summary of Crm: Single Image to 3d Textured Mesh with Convolutional Reconstruction Model, by Zhengyi Wang et al.
Summary of Sq Lower Bounds For Non-gaussian Component Analysis with Weaker Assumptions, by Ilias Diakonikolas et al.
Summary of Gnn-vpa: a Variance-preserving Aggregation Strategy For Graph Neural Networks, by Lisa Schneckenreiter et al.
Summary of Llms in the Imaginarium: Tool Learning Through Simulated Trial and Error, by Boshi Wang et al.
Summary of Bloomgml: Graph Machine Learning Through the Lens Of Bilevel Optimization, by Amber Yijia Zheng and Tong He and Yixuan Qiu and Minjie Wang and David Wipf
Summary of Lifelong Intelligence Beyond the Edge Using Hyperdimensional Computing, by Xiaofan Yu et al.
Summary of Ts-rsr: a Provably Efficient Approach For Batch Bayesian Optimization, by Zhaolin Ren and Na Li
Summary of Social Orientation: a New Feature For Dialogue Analysis, by Todd Morrill et al.
Summary of An Efficient Difference-of-convex Solver For Privacy Funnel, by Teng-hui Huang and Hesham El Gamal
Summary of Topicdiff: a Topic-enriched Diffusion Approach For Multimodal Conversational Emotion Detection, by Jiamin Luo et al.
Summary of Autodefense: Multi-agent Llm Defense Against Jailbreak Attacks, by Yifan Zeng et al.
Summary of Llm Vs. Lawyers: Identifying a Subset Of Summary Judgments in a Large Uk Case Law Dataset, by Ahmed Izzidien and Holli Sargeant and Felix Steffek
Summary of A Data-driven Two-phase Multi-split Causal Ensemble Model For Time Series, by Zhipeng Ma et al.
Summary of Breaking the Language Barrier: Can Direct Inference Outperform Pre-translation in Multilingual Llm Applications?, by Yotam Intrator et al.
Summary of Large Language Models in Fire Engineering: An Examination Of Technical Questions Against Domain Knowledge, by Haley Hostetter et al.
Summary of Found in the Middle: How Language Models Use Long Contexts Better Via Plug-and-play Positional Encoding, by Zhenyu Zhang et al.
Summary of Jmi at Semeval 2024 Task 3: Two-step Approach For Multimodal Ecac Using In-context Learning with Gpt and Instruction-tuned Llama Models, by Arefa et al.
Summary of Pruning Neural Network Models For Gene Regulatory Dynamics Using Data and Domain Knowledge, by Intekhab Hossain et al.
Summary of Mathematics Of Neural Networks (lecture Notes Graduate Course), by Bart M.n. Smets
Summary of Restricted Bayesian Neural Network, by Sourav Ganguly and Saprativa Bhattacharjee
Summary of Investigation Of the Impact Of Synthetic Training Data in the Industrial Application Of Terminal Strip Object Detection, by Nico Baumgart et al.
Summary of What Makes An Image Realistic?, by Lucas Theis
Summary of Hyperspectral Unmixing For Raman Spectroscopy Via Physics-constrained Autoencoders, by Dimitar Georgiev et al.
Summary of Improve Generalization Ability Of Deep Wide Residual Network with a Suitable Scaling Factor, by Songtao Tian et al.
Summary of Enhancing Data Quality in Federated Fine-tuning Of Foundation Models, by Wanru Zhao et al.
Summary of Architectural Blueprint For Heterogeneity-resilient Federated Learning, by Satwat Bashir et al.
Summary of Clip the Bias: How Useful Is Balancing Data in Multimodal Learning?, by Ibrahim Alabdulmohsin et al.
Summary of Dissecting Sample Hardness: a Fine-grained Analysis Of Hardness Characterization Methods For Data-centric Ai, by Nabeel Seedat et al.
Summary of Reducing Self-supervised Learning Complexity Improves Weakly-supervised Classification Performance in Computational Pathology, by Tim Lenz et al.
Summary of Improved Algorithm For Adversarial Linear Mixture Mdps with Bandit Feedback and Unknown Transition, by Long-fei Li et al.
Summary of Beyond Major Product Prediction: Reproducing Reaction Mechanisms with Machine Learning Models Trained on a Large-scale Mechanistic Dataset, by Joonyoung F. Joung et al.
Summary of Contrastive Continual Learning with Importance Sampling and Prototype-instance Relation Distillation, by Jiyong Li et al.
Summary of Explaining Bayesian Optimization by Shapley Values Facilitates Human-ai Collaboration, By Julian Rodemann et al.
Summary of In-n-out: Calibrating Graph Neural Networks For Link Prediction, by Erik Nascimento et al.
Summary of Entropy Aware Message Passing in Graph Neural Networks, by Philipp Nazari et al.
Summary of Teaching Large Language Models to Reason with Reinforcement Learning, by Alex Havrilla et al.
Summary of Dynamic Cross Attention For Audio-visual Person Verification, by R. Gnana Praveen et al.
Summary of Telecom Language Models: Must They Be Large?, by Nicola Piovesan et al.
Summary of Lightweight Cross-modal Representation Learning, by Bilal Faye et al.
Summary of End-to-end Conditional Robust Optimization, by Abhilash Chenreddy and Erick Delage
Summary of Fact-checking the Output Of Large Language Models Via Token-level Uncertainty Quantification, by Ekaterina Fadeeva et al.
Summary of Fundamental Limits Of Non-linear Low-rank Matrix Estimation, by Pierre Mergny et al.
Summary of Efficient Cnn-lstm Based Parameter Estimation Of Levy Driven Stochastic Differential Equations, by Shuaiyu Li et al.
Summary of Mastering Memory Tasks with World Models, by Mohammad Reza Samsami and Artem Zholus and Janarthanan Rajendran and Sarath Chandar
Summary of Advancing Chinese Biomedical Text Mining with Community Challenges, by Hui Zong et al.
Summary of Proxy-rlhf: Decoupling Generation and Alignment in Large Language Model with Proxy, by Yu Zhu et al.
Summary of Effectiveness Assessment Of Recent Large Vision-language Models, by Yao Jiang et al.
Summary of Online Adaptation Of Language Models with a Memory Of Amortized Contexts, by Jihoon Tack et al.
Summary of Impacts Of Color and Texture Distortions on Earth Observation Data in Deep Learning, by Martin Willbo et al.
Summary of Signature Isolation Forest, by Marta Campi et al.
Summary of Exploring the Influence Of Dimensionality Reduction on Anomaly Detection Performance in Multivariate Time Series, by Mahsun Altin et al.
Summary of On-demand Quantization For Green Federated Generative Diffusion in Mobile Edge Networks, by Bingkun Lai et al.
Summary of Boosting Fairness and Robustness in Over-the-air Federated Learning, by Halil Yigit Oksuz et al.
Summary of Frri: a Novel Algorithm For Fuzzy-rough Rule Induction, by Henri Bollaert et al.
Summary of Cooperative Bayesian Optimization For Imperfect Agents, by Ali Khoshvishkaie et al.
Summary of Hyperparameter Tuning Mlps For Probabilistic Time Series Forecasting, by Kiran Madhusudhanan et al.
Summary of Efficient Off-policy Learning For High-dimensional Action Spaces, by Fabian Otto et al.
Summary of A Survey Of Graph Neural Networks in Real World: Imbalance, Noise, Privacy and Ood Challenges, by Wei Ju et al.
Summary of On the Topology Awareness and Generalization Performance Of Graph Neural Networks, by Junwei Su et al.
Summary of Source Matters: Source Dataset Impact on Model Robustness in Medical Imaging, by Dovile Juodelyte et al.
Summary of T-tame: Trainable Attention Mechanism For Explaining Convolutional Networks and Vision Transformers, by Mariano V. Ntrougkas et al.
Summary of Belief-enriched Pessimistic Q-learning Against Adversarial State Perturbations, by Xiaolin Sun et al.
Summary of Improving Adversarial Training Using Vulnerability-aware Perturbation Budget, by Olukorede Fakorede et al.
Summary of Forecasting and Mitigating Disruptions in Public Bus Transit Services, by Chaeeun Han et al.
Summary of Automated Multi-task Learning For Joint Disease Prediction on Electronic Health Records, by Suhan Cui and Prasenjit Mitra
Summary of Directional Smoothness and Gradient Methods: Convergence and Adaptivity, by Aaron Mishkin et al.
Summary of Inference Via Interpolation: Contrastive Representations Provably Enable Planning and Inference, by Benjamin Eysenbach et al.
Summary of Many-objective Multi-solution Transport, by Ziyue Li et al.
Summary of Can Large Language Models Reason and Plan?, by Subbarao Kambhampati
Summary of Fl-guard: a Holistic Framework For Run-time Detection and Recovery Of Negative Federated Learning, by Hong Lin et al.
Summary of Stabilizing Policy Gradients For Stochastic Differential Equations Via Consistency with Perturbation Process, by Xiangxin Zhou et al.
Summary of Swap-nas: Sample-wise Activation Patterns For Ultra-fast Nas, by Yameng Peng et al.
Summary of Ratsf: Empowering Customer Service Volume Management Through Retrieval-augmented Time-series Forecasting, by Tianfeng Wang et al.
Summary of Generative Ai For Synthetic Data Generation: Methods, Challenges and the Future, by Xu Guo et al.
Summary of Fill-and-spill: Deep Reinforcement Learning Policy Gradient Methods For Reservoir Operation Decision and Control, by Sadegh Sadeghi Tabas et al.
Summary of Noisy Spiking Actor Network For Exploration, by Ding Chen et al.
Summary of Grawa: Gradient-based Weighted Averaging For Distributed Training Of Deep Learning Models, by Tolga Dimlioglu et al.
Summary of Why Online Reinforcement Learning Is Causal, by Oliver Schulte et al.