Paper List

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Summary of Denoising Fisher Training For Neural Implicit Samplers, by Weijian Luo and Wei Deng
Summary of Reconstructing Modis Normalized Difference Snow Index Product on Greenland Ice Sheet Using Spatiotemporal Extreme Gradient Boosting Model, by Fan Ye et al.
Summary of Two-timescale Model Caching and Resource Allocation For Edge-enabled Ai-generated Content Services, by Zhang Liu et al.
Summary of Infinite-resolution Integral Noise Warping For Diffusion Models, by Yitong Deng et al.
Summary of Enhancing Neural Network Interpretability with Feature-aligned Sparse Autoencoders, by Luke Marks et al.
Summary of Efficient Sparse Training with Structured Dropout, by Andy Lo
Summary of Boosting Federated Learning with Fedentopt: Mitigating Label Skew by Entropy-based Client Selection, By Andreas Lutz et al.
Summary of An Innovative Cgl-mha Model For Sarcasm Sentiment Recognition Using the Mindspore Framework, by Zhenkai Qin and Qining Luo and Xunyi Nong
Summary of Guiding Neural Collapse: Optimising Towards the Nearest Simplex Equiangular Tight Frame, by Evan Markou et al.
Summary of Conformalized High-density Quantile Regression Via Dynamic Prototypes-based Probability Density Estimation, by Batuhan Cengiz et al.
Summary of Progen: Revisiting Probabilistic Spatial-temporal Time Series Forecasting From a Continuous Generative Perspective Using Stochastic Differential Equations, by Mingze Gong et al.
Summary of Interacting Large Language Model Agents. Interpretable Models and Social Learning, by Adit Jain et al.
Summary of Uncertainty Measurement For Complex Event Prediction in Safety-critical Systems, by Maria J. P. Peixoto and Akramul Azim
Summary of Marginal Causal Flows For Validation and Inference, by Daniel De Vassimon Manela et al.
Summary of From Federated Learning to Quantum Federated Learning For Space-air-ground Integrated Networks, by Vu Khanh Quy et al.
Summary of False Data Injection Attack Detection in Edge-based Smart Metering Networks with Federated Learning, by Md Raihan Uddin et al.
Summary of Feed: Fairness-enhanced Meta-learning For Domain Generalization, by Kai Jiang et al.
Summary of Feet: a Framework For Evaluating Embedding Techniques, by Simon A. Lee et al.
Summary of Generalized Eigenvalue Problems with Generative Priors, by Zhaoqiang Liu et al.
Summary of A Mechanistic Explanatory Strategy For Xai, by Marcin Rabiza
Summary of Convolutional Filtering with Rkhs Algebras, by Alejandro Parada-mayorga et al.
Summary of Adaptive World Models: Learning Behaviors by Latent Imagination Under Non-stationarity, By Emiliyan Gospodinov et al.
Summary of The Implicit Bias Of Gradient Descent on Separable Multiclass Data, by Hrithik Ravi et al.
Summary of Attackqa: Development and Adoption Of a Dataset For Assisting Cybersecurity Operations Using Fine-tuned and Open-source Llms, by Varun Badrinath Krishna
Summary of Improving Dnn Modularization Via Activation-driven Training, by Tuan Ngo et al.
Summary of Privacy Risks Of Speculative Decoding in Large Language Models, by Jiankun Wei et al.
Summary of Emoji Attack: Enhancing Jailbreak Attacks Against Judge Llm Detection, by Zhipeng Wei et al.
Summary of Cronos: Enhancing Deep Learning with Scalable Gpu Accelerated Convex Neural Networks, by Miria Feng et al.
Summary of Using Half-precision For Gnn Training, by Arnab Kanti Tarafder and Yidong Gong and Pradeep Kumar
Summary of Axiomatic Explainer Globalness Via Optimal Transport, by Davin Hill et al.
Summary of An Event-centric Framework For Predicting Crime Hotspots with Flexible Time Intervals, by Jiahui Jin et al.
Summary of Privacy-preserving Federated Learning with Differentially Private Hyperdimensional Computing, by Fardin Jalil Piran et al.
Summary of Hg-adapter: Improving Pre-trained Heterogeneous Graph Neural Networks with Dual Adapters, by Yujie Mo and Runpeng Yu and Xiaofeng Zhu and Xinchao Wang
Summary of Negative-free Self-supervised Gaussian Embedding Of Graphs, by Yunhui Liu et al.
Summary of Task-aware Harmony Multi-task Decision Transformer For Offline Reinforcement Learning, by Ziqing Fan et al.
Summary of Pin-tuning: Parameter-efficient In-context Tuning For Few-shot Molecular Property Prediction, by Liang Wang et al.
Summary of Federated Learning with Relative Fairness, by Shogo Nakakita et al.
Summary of Supervised Score-based Modeling by Gradient Boosting, By Changyuan Zhao et al.
Summary of Prompt Tuning with Diffusion For Few-shot Pre-trained Policy Generalization, by Shengchao Hu et al.
Summary of Bi-level Graph Structure Learning For Next Poi Recommendation, by Liang Wang et al.
Summary of Hollowed Net For On-device Personalization Of Text-to-image Diffusion Models, by Wonguk Cho et al.
Summary of Xnb: Explainable Class-specific Naive-bayes Classifier, by Jesus S. Aguilar-ruiz et al.
Summary of Class-specific Feature Selection For Classification Explainability, by Jesus S. Aguilar-ruiz
Summary of Ai-edi-space: a Co-designed Dataset For Evaluating the Quality Of Public Spaces, by Shreeyash Gowaikar et al.
Summary of Text2freq: Learning Series Patterns From Text Via Frequency Domain, by Ming-chih Lo et al.
Summary of Scalable Ai Framework For Defect Detection in Metal Additive Manufacturing, by Duy Nhat Phan et al.
Summary of Magnitude Pruning Of Large Pretrained Transformer Models with a Mixture Gaussian Prior, by Mingxuan Zhang et al.
Summary of Improving How Agents Cooperate: Attention Schemas in Artificial Neural Networks, by Kathryn T. Farrell et al.
Summary of Does the Definition Of Difficulty Matter? Scoring Functions and Their Role For Curriculum Learning, by Simon Rampp et al.
Summary of Automated Global Analysis Of Experimental Dynamics Through Low-dimensional Linear Embeddings, by Samuel A. Moore et al.
Summary of Automated Assessment Of Residual Plots with Computer Vision Models, by Weihao Li et al.
Summary of Normalization Layer Per-example Gradients Are Sufficient to Predict Gradient Noise Scale in Transformers, by Gavia Gray and Aman Tiwari and Shane Bergsma and Joel Hestness
Summary of A Similarity-based Oversampling Method For Multi-label Imbalanced Text Data, by Ismail Hakki Karaman et al.
Summary of Abstracted Shapes As Tokens — a Generalizable and Interpretable Model For Time-series Classification, by Yunshi Wen et al.
Summary of Birdie: Advancing State Space Models with Reward-driven Objectives and Curricula, by Sam Blouir et al.
Summary of Provable Length Generalization in Sequence Prediction Via Spectral Filtering, by Annie Marsden et al.
Summary of Capturing and Anticipating User Intents in Data Analytics Via Knowledge Graphs, by Gerard Pons et al.
Summary of Computation-aware Gaussian Processes: Model Selection and Linear-time Inference, by Jonathan Wenger et al.
Summary of Identify Backdoored Model in Federated Learning Via Individual Unlearning, by Jiahao Xu et al.
Summary of Introduction to Ai Safety, Ethics, and Society, by Dan Hendrycks
Summary of Bacsa: a Bias-aware Client Selection Algorithm For Privacy-preserving Federated Learning in Wireless Healthcare Networks, by Sushilkumar Yadav and Irem Bor-yaliniz
Summary of Fighting Spurious Correlations in Text Classification Via a Causal Learning Perspective, by Yuqing Zhou et al.
Summary of Contrasting with Symile: Simple Model-agnostic Representation Learning For Unlimited Modalities, by Adriel Saporta et al.
Summary of Accelerated Ai Inference Via Dynamic Execution Methods, by Haim Barad et al.
Summary of Vision-language Models Can Self-improve Reasoning Via Reflection, by Kanzhi Cheng et al.
Summary of Ai in Investment Analysis: Llms For Equity Stock Ratings, by Kassiani Papasotiriou et al.
Summary of Advancing Crime Linkage Analysis with Machine Learning: a Comprehensive Review and Framework For Data-driven Approaches, by Vinicius Lima and Umit Karabiyik
Summary of Profiling Ai Models: Towards Efficient Computation Offloading in Heterogeneous Edge Ai Systems, by Juan Marcelo Parra-ullauri et al.
Summary of Llamo: Large Language Model-based Molecular Graph Assistant, by Jinyoung Park et al.
Summary of K-means Clustering with Incomplete Data with the Use Of Mahalanobis Distances, by Lovis Kwasi Armah et al.
Summary of Mechanistic Interpretability Of Reinforcement Learning Agents, by Tristan Trim et al.
Summary of Clear: Towards Robust and Generalized Parameter-efficient Fine-tuning For Noisy Label Learning, by Yeachan Kim et al.
Summary of Resilience to the Flowing Unknown: An Open Set Recognition Framework For Data Streams, by Marcos Barcina-blanco et al.
Summary of Veccity: a Taxonomy-guided Library For Map Entity Representation Learning, by Wentao Zhang et al.
Summary of Revolutionizing Personalized Cancer Vaccines with Neo: Novel Epitope Optimization Using An Aggregated Feed Forward and Recurrent Neural Network with Lstm Architecture, by Nishanth Basava
Summary of Mess+: Energy-optimal Inferencing in Language Model Zoos with Service Level Guarantees, by Ryan Zhang et al.
Summary of Certified Robustness For Deep Equilibrium Models Via Serialized Random Smoothing, by Weizhi Gao et al.
Summary of Similarity and Dissimilarity Guided Co-association Matrix Construction For Ensemble Clustering, by Xu Zhang et al.
Summary of Ratio Law: Mathematical Descriptions For a Universal Relationship Between Ai Performance and Input Samples, by Boming Kang et al.
Summary of Aad-llm: Adaptive Anomaly Detection Using Large Language Models, by Alicia Russell-gilbert et al.
Summary of Comparative Evaluation Of Applicability Domain Definition Methods For Regression Models, by Shakir Khurshid et al.
Summary of Higher-order Causal Message Passing For Experimentation with Complex Interference, by Mohsen Bayati et al.
Summary of Libmoe: a Library For Comprehensive Benchmarking Mixture Of Experts in Large Language Models, by Nam V. Nguyen et al.
Summary of Dimension-free Private Mean Estimation For Anisotropic Distributions, by Yuval Dagan et al.
Summary of Hound: High-order Universal Numerical Differentiator For a Parameter-free Polynomial Online Approximation, by Igor Katrichek
Summary of Adaptive Segment-level Reward: Bridging the Gap Between Action and Reward Space in Alignment, by Yanshi Li et al.
Summary of Sentiment Analysis Based on Roberta For Amazon Review: An Empirical Study on Decision Making, by Xinli Guo
Summary of Integrating Symbolic Neural Networks with Building Physics: a Study and Proposal, by Xia Chen et al.
Summary of Roadfirst: a Comprehensive Enhancement Of the Systemic Approach to Safety For Improved Risk Factor Identification and Evaluation, by Shriyan Reyya et al.
Summary of Cycleresearcher: Improving Automated Research Via Automated Review, by Yixuan Weng et al.
Summary of Dreaming Out Loud: a Self-synthesis Approach For Training Vision-language Models with Developmentally Plausible Data, by Badr Alkhamissi et al.
Summary of Mobility-llm: Learning Visiting Intentions and Travel Preferences From Human Mobility Data with Large Language Models, by Letian Gong et al.
Summary of Causadv: a Causal-based Framework For Detecting Adversarial Examples, by Hichem Debbi
Summary of Yoga Pose Classification Using Transfer Learning, by M. M. Akash et al.
Summary of Peri-aiims: Perioperative Artificial Intelligence Driven Integrated Modeling Of Surgeries Using Anesthetic, Physical and Cognitive Statuses For Predicting Hospital Outcomes, by Sabyasachi Bandyopadhyay et al.
Summary of A Theoretical Perspective For Speculative Decoding Algorithm, by Ming Yin et al.
Summary of Extralonger: Toward a Unified Perspective Of Spatial-temporal Factors For Extra-long-term Traffic Forecasting, by Zhiwei Zhang et al.
Summary of End-to-end Graph Learning Approach For Cognitive Diagnosis Of Student Tutorial, by Fulai Yang et al.
Summary of The Graph’s Apprentice: Teaching An Llm Low Level Knowledge For Circuit Quality Estimation, by Reza Moravej et al.
Summary of Explainable Artificial Intelligence For Dependent Features: Additive Effects Of Collinearity, by Ahmed M Salih