Paper List

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Summary of Dual-branch Polsar Image Classification Based on Graphmae and Local Feature Extraction, by Yuchen Wang et al.
Summary of Tackling Noisy Clients in Federated Learning with End-to-end Label Correction, by Xuefeng Jiang et al.
Summary of Better Locally Private Sparse Estimation Given Multiple Samples Per User, by Yuheng Ma and Ke Jia and Hanfang Yang
Summary of Inter-series Transformer: Attending to Products in Time Series Forecasting, by Rares Cristian et al.
Summary of Knowledge Probing For Graph Representation Learning, by Mingyu Zhao et al.
Summary of Lafa: Latent Feature Attacks on Non-negative Matrix Factorization, by Minh Vu et al.
Summary of Adapmtl: Adaptive Pruning Framework For Multitask Learning Model, by Mingcan Xiang et al.
Summary of Improving Fast Adversarial Training Paradigm: An Example Taxonomy Perspective, by Jie Gui et al.
Summary of Hard to Explain: on the Computational Hardness Of In-distribution Model Interpretation, by Guy Amir et al.
Summary of Enhancing Output Diversity Improves Conjugate Gradient-based Adversarial Attacks, by Keiichiro Yamamura et al.
Summary of Learning From Noisy Labels For Long-tailed Data Via Optimal Transport, by Mengting Li et al.
Summary of Multimodal Gender Fairness in Depression Prediction: Insights on Data From the Usa & China, by Joseph Cameron et al.
Summary of Deep Generative Models For Subgraph Prediction, by Erfaneh Mahmoudzadeh et al.
Summary of Learning Rate-free Reinforcement Learning: a Case For Model Selection with Non-stationary Objectives, by Aida Afshar et al.
Summary of Powerpm: Foundation Model For Power Systems, by Shihao Tu et al.
Summary of Tree Attention: Topology-aware Decoding For Long-context Attention on Gpu Clusters, by Vasudev Shyam et al.
Summary of Zack: Zero-overhead Llm Inference Acceleration Via Dimensionality Compression Of the Key-value Cache, by Zeyu Zhang et al.
Summary of Zero-shot Factual Consistency Evaluation Across Domains, by Raunak Agarwal
Summary of Combining Neural Architecture Search and Automatic Code Optimization: a Survey, by Inas Bachiri et al.
Summary of Out-of-core Dimensionality Reduction For Large Data Via Out-of-sample Extensions, by Luca Reichmann et al.
Summary of Overcoming Brittleness in Pareto-optimal Learning-augmented Algorithms, by Spyros Angelopoulos et al.
Summary of Heterogeneous Graph Sequence Neural Networks For Dynamic Traffic Assignment, by Tong Liu et al.
Summary of The Data Addition Dilemma, by Judy Hanwen Shen et al.
Summary of Time Is Not Enough: Time-frequency Based Explanation For Time-series Black-box Models, by Hyunseung Chung et al.
Summary of Mucai at Wojoodner 2024: Arabic Named Entity Recognition with Nearest Neighbor Search, by Ahmed Abdou et al.
Summary of Consumer Transactions Simulation Through Generative Adversarial Networks, by Sergiy Tkachuk et al.
Summary of Ai-driven Approach For Sustainable Extraction Of Earth’s Subsurface Renewable Energy While Minimizing Seismic Activity, by Diego Gutierrez-oribio et al.
Summary of Beyond Over-smoothing: Uncovering the Trainability Challenges in Deep Graph Neural Networks, by Jie Peng et al.
Summary of Rl-adn: a High-performance Deep Reinforcement Learning Environment For Optimal Energy Storage Systems Dispatch in Active Distribution Networks, by Shengren Hou et al.
Summary of Generative Design Of Periodic Orbits in the Restricted Three-body Problem, by Alvaro Francisco Gil et al.
Summary of Local Topology Measures Of Contextual Language Model Latent Spaces with Applications to Dialogue Term Extraction, by Benjamin Matthias Ruppik et al.
Summary of A Convex-optimization-based Layer-wise Post-training Pruner For Large Language Models, by Pengxiang Zhao et al.
Summary of Question Rephrasing For Quantifying Uncertainty in Large Language Models: Applications in Molecular Chemistry Tasks, by Zizhang Chen et al.
Summary of Advancing Multimodal Large Language Models with Quantization-aware Scale Learning For Efficient Adaptation, by Jingjing Xie et al.
Summary of Bayes-optimal Learning Of An Extensive-width Neural Network From Quadratically Many Samples, by Antoine Maillard et al.
Summary of Flexible Bayesian Last Layer Models Using Implicit Priors and Diffusion Posterior Sampling, by Jian Xu et al.
Summary of Online Model-based Anomaly Detection in Multivariate Time Series: Taxonomy, Survey, Research Challenges and Future Directions, by Lucas Correia et al.
Summary of Early Prediction Of Causes (not Effects) in Healthcare by Long-term Clinical Time Series Forecasting, By Michael Staniek et al.
Summary of Leveraging Variation Theory in Counterfactual Data Augmentation For Optimized Active Learning, by Simret Araya Gebreegziabher et al.
Summary of Reliable Node Similarity Matrix Guided Contrastive Graph Clustering, by Yunhui Liu et al.
Summary of Bi-level Spatial and Channel-aware Transformer For Learned Image Compression, by Hamidreza Soltani et al.
Summary of Hate Speech Detection and Classification in Amharic Text with Deep Learning, by Samuel Minale Gashe et al.
Summary of Packmamba: Efficient Processing Of Variable-length Sequences in Mamba Training, by Haoran Xu et al.
Summary of Advancing Eeg-based Gaze Prediction Using Depthwise Separable Convolution and Enhanced Pre-processing, by Matthew L Key et al.
Summary of Effect Of Kernel Size on Cnn-vision-transformer-based Gaze Prediction Using Electroencephalography Data, by Chuhui Qiu et al.
Summary of Simultaneous and Meshfree Topology Optimization with Physics-informed Gaussian Processes, by Amin Yousefpour et al.
Summary of Advanced User Credit Risk Prediction Model Using Lightgbm, Xgboost and Tabnet with Smoteenn, by Chang Yu et al.
Summary of Minimum Enclosing Ball Synthetic Minority Oversampling Technique From a Geometric Perspective, by Yi-yang Shangguan et al.
Summary of Query3d: Llm-powered Open-vocabulary Scene Segmentation with Language Embedded 3d Gaussian, by Amirhosein Chahe et al.
Summary of Empirical Analysis Of Large Vision-language Models Against Goal Hijacking Via Visual Prompt Injection, by Subaru Kimura et al.
Summary of In2core: Leveraging Influence Functions For Coreset Selection in Instruction Finetuning Of Large Language Models, by Ayrton San Joaquin et al.
Summary of A Comparative Study Of Generative Adversarial Networks For Image Recognition Algorithms Based on Deep Learning and Traditional Methods, by Yihao Zhong et al.
Summary of 2d-oob: Attributing Data Contribution Through Joint Valuation Framework, by Yifan Sun et al.
Summary of Teach Clip to Develop a Number Sense For Ordinal Regression, by Yao Du et al.
Summary of Hierarchical Neural Constructive Solver For Real-world Tsp Scenarios, by Yong Liang Goh et al.
Summary of Activations Through Extensions: a Framework to Boost Performance Of Neural Networks, by Chandramouli Kamanchi et al.
Summary of Focal Depth Estimation: a Calibration-free, Subject- and Daytime Invariant Approach, by Benedikt W. Hosp et al.
Summary of Mixstyle-entropy: Domain Generalization with Causal Intervention and Perturbation, by Luyao Tang et al.
Summary of Jarvis: Detecting Actions in Video Using Unified Actor-scene Context Relation Modeling, by Seok Hwan Lee et al.
Summary of Is Child-directed Speech Effective Training Data For Language Models?, by Steven Y. Feng et al.
Summary of A Logical Fallacy-informed Framework For Argument Generation, by Luca Mouchel et al.
Summary of Making Robust Generalizers Less Rigid with Soft Ascent-descent, by Matthew J. Holland et al.
Summary of On the Choice Of the Non-trainable Internal Weights in Random Feature Maps, by Pinak Mandal et al.
Summary of Classifim: An Unsupervised Method to Detect Phase Transitions, by Victor Kasatkin et al.
Summary of Minictx: Neural Theorem Proving with (long-)contexts, by Jiewen Hu et al.
Summary of Adversarial Domain Adaptation For Cross-user Activity Recognition Using Diffusion-based Noise-centred Learning, by Xiaozhou Ye et al.
Summary of Mlc-gcn: Multi-level Generated Connectome Based Gcn For Ad Analysis, by Wenqi Zhu et al.
Summary of A Non-negative Vae:the Generalized Gamma Belief Network, by Zhibin Duan et al.
Summary of Lampo: Large Language Models As Preference Machines For Few-shot Ordinal Classification, by Zhen Qin and Junru Wu and Jiaming Shen and Tianqi Liu and Xuanhui Wang
Summary of Prioritize Alignment in Dataset Distillation, by Zekai Li et al.
Summary of Rhiots: a Framework For Evaluating Hierarchical Time Series Forecasting Algorithms, by Luis Roque et al.
Summary of Set2seq Transformer: Learning Permutation Aware Set Representations Of Artistic Sequences, by Athanasios Efthymiou et al.
Summary of Deep Clustering Via Distribution Learning, by Guanfang Dong et al.
Summary of A Tvd Neural Network Closure and Application to Turbulent Combustion, by Seung Won Suh et al.
Summary of Logistic Regression Makes Small Llms Strong and Explainable “tens-of-shot” Classifiers, by Marcus Buckmann and Edward Hill
Summary of Sequential Conditional Transport on Probabilistic Graphs For Interpretable Counterfactual Fairness, by Agathe Fernandes Machado et al.
Summary of Probabilistic Scores Of Classifiers, Calibration Is Not Enough, by Agathe Fernandes Machado et al.
Summary of Hybrid Diffusion Models: Combining Supervised and Generative Pretraining For Label-efficient Fine-tuning Of Segmentation Models, by Bruno Sauvalle et al.
Summary of Probabilistic Surrogate Model For Accelerating the Design Of Electric Vehicle Battery Enclosures For Crash Performance, by Shadab Anwar Shaikh et al.
Summary of On the Generalization Of Preference Learning with Dpo, by Shawn Im et al.
Summary of Vision Foundation Models in Remote Sensing: a Survey, by Siqi Lu et al.
Summary of Integrating Hci Datasets in Project-based Machine Learning Courses: a College-level Review and Case Study, by Xiaodong Qu et al.
Summary of Can Llms Serve As Time Series Anomaly Detectors?, by Manqing Dong et al.
Summary of Topic Modeling with Fine-tuning Llms and Bag Of Sentences, by Johannes Schneider
Summary of Active Learning For Level Set Estimation Using Randomized Straddle Algorithms, by Yu Inatsu et al.
Summary of Conditioning Llms with Emotion in Neural Machine Translation, by Charles Brazier et al.
Summary of Optimizing Disease Prediction with Artificial Intelligence Driven Feature Selection and Attention Networks, by D. Dhinakaran et al.
Summary of Tsc: a Simple Two-sided Constraint Against Over-smoothing, by Furong Peng et al.
Summary of Iterative Ct Reconstruction Via Latent Variable Optimization Of Shallow Diffusion Models, by Sho Ozaki et al.
Summary of An Object Is Worth 64×64 Pixels: Generating 3d Object Via Image Diffusion, by Xingguang Yan et al.
Summary of Leveraging Parameter Efficient Training Methods For Low Resource Text Classification: a Case Study in Marathi, by Pranita Deshmukh et al.
Summary of Fedbat: Communication-efficient Federated Learning Via Learnable Binarization, by Shiwei Li and Wenchao Xu and Haozhao Wang and Xing Tang and Yining Qi and Shijie Xu and Weihong Luo and Yuhua Li and Xiuqiang He and Ruixuan Li
Summary of Relief: Reinforcement Learning Empowered Graph Feature Prompt Tuning, by Jiapeng Zhu et al.
Summary of Learning to Learn Without Forgetting Using Attention, by Anna Vettoruzzo et al.
Summary of Masked Random Noise For Communication Efficient Federated Learning, by Shiwei Li and Yingyi Cheng and Haozhao Wang and Xing Tang and Shijie Xu and Weihong Luo and Yuhua Li and Dugang Liu and Xiuqiang He and Ruixuan Li
Summary of Don’t Think It Twice: Exploit Shift Invariance For Efficient Online Streaming Inference Of Cnns, by Christodoulos Kechris et al.
Summary of Structeval: Deepen and Broaden Large Language Model Assessment Via Structured Evaluation, by Boxi Cao et al.
Summary of Analysis Of Partially-calibrated Sparse Subarrays For Direction Finding with Extended Degrees Of Freedom, by W. S. Leite and R. C. De Lamare
Summary of Malicious Internet Entity Detection Using Local Graph Inference, by Simon Mandlik et al.
Summary of Sara: Singular-value Based Adaptive Low-rank Adaption, by Jihao Gu and Shuai Chen and Zelin Wang and Yibo Zhang and Ping Gong