Paper List

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Summary of Harnessing Neuron Stability to Improve Dnn Verification, by Hai Duong et al.
Summary of Multi-agent Based Transfer Learning For Data-driven Air Traffic Applications, by Chuhao Deng and Hong-cheol Choi and Hyunsang Park and Inseok Hwang
Summary of Fuzzy Logic Function As a Post-hoc Explanator Of the Nonlinear Classifier, by Martin Klimo et al.
Summary of Novel Application Of Relief Algorithm in Cascaded Artificial Neural Network to Predict Wind Speed For Wind Power Resource Assessment in India, by Hasmat Malik et al.
Summary of Procns: Progressive Prototype Calibration and Noise Suppression For Weakly-supervised Medical Image Segmentation, by Y. Liu et al.
Summary of Neural Sinkhorn Gradient Flow, by Huminhao Zhu et al.
Summary of Accelerating Fractional Pinns Using Operational Matrices Of Derivative, by Tayebeh Taheri et al.
Summary of Learning Under Label Noise Through Few-shot Human-in-the-loop Refinement, by Aaqib Saeed et al.
Summary of Generating Likely Counterfactuals Using Sum-product Networks, by Jiri Nemecek et al.
Summary of Compactifai: Extreme Compression Of Large Language Models Using Quantum-inspired Tensor Networks, by Andrei Tomut et al.
Summary of Towards Cheaper Inference in Deep Networks with Lower Bit-width Accumulators, by Yaniv Blumenfeld et al.
Summary of Equivariant Manifold Neural Odes and Differential Invariants, by Emma Andersdotter et al.
Summary of Fp6-llm: Efficiently Serving Large Language Models Through Fp6-centric Algorithm-system Co-design, by Haojun Xia et al.
Summary of Convolutional Neural Networks Can Achieve Binary Bail Judgement Classification, by Amit Barman et al.
Summary of Energy-based Concept Bottleneck Models: Unifying Prediction, Concept Intervention, and Probabilistic Interpretations, by Xinyue Xu et al.
Summary of True Knowledge Comes From Practice: Aligning Llms with Embodied Environments Via Reinforcement Learning, by Weihao Tan et al.
Summary of Alleviating Structural Distribution Shift in Graph Anomaly Detection, by Yuan Gao et al.
Summary of How Can Large Language Models Understand Spatial-temporal Data?, by Lei Liu et al.
Summary of Mtrgl:effective Temporal Correlation Discerning Through Multi-modal Temporal Relational Graph Learning, by Junwei Su et al.
Summary of Communication-efficient Federated Learning Through Adaptive Weight Clustering and Server-side Distillation, by Vasileios Tsouvalas et al.
Summary of At the Junction Between Deep Learning and Statistics Of Extremes: Formalizing the Landslide Hazard Definition, by Ashok Dahal et al.
Summary of Sample Efficient Reinforcement Learning by Automatically Learning to Compose Subtasks, By Shuai Han et al.
Summary of Assessing the Portability Of Parameter Matrices Trained by Parameter-efficient Finetuning Methods, By Mohammed Sabry and Anya Belz
Summary of Edge Conditional Node Update Graph Neural Network For Multi-variate Time Series Anomaly Detection, by Hayoung Jo and Seong-whan Lee
Summary of Is Temperature Sample Efficient For Softmax Gaussian Mixture Of Experts?, by Huy Nguyen et al.
Summary of Cross-modal Prototype Based Multimodal Federated Learning Under Severely Missing Modality, by Huy Q. Le et al.
Summary of Constant Stepsize Q-learning: Distributional Convergence, Bias and Extrapolation, by Yixuan Zhang and Qiaomin Xie
Summary of A Comparative Study Of Zero-shot Inference with Large Language Models and Supervised Modeling in Breast Cancer Pathology Classification, by Madhumita Sushil et al.
Summary of Empowering Machines to Think Like Chemists: Unveiling Molecular Structure-polarity Relationships with Hierarchical Symbolic Regression, by Siyu Lou et al.
Summary of A Survey Of Deep Learning and Foundation Models For Time Series Forecasting, by John A. Miller et al.
Summary of Spectral Clustering For Discrete Distributions, by Zixiao Wang et al.
Summary of Locmoe: a Low-overhead Moe For Large Language Model Training, by Jing Li et al.
Summary of Towards 3d Molecule-text Interpretation in Language Models, by Sihang Li et al.
Summary of Hmm For Discovering Decision-making Dynamics Using Reinforcement Learning Experiments, by Xingche Guo et al.
Summary of Dynamic Long-term Time-series Forecasting Via Meta Transformer Networks, by Muhammad Anwar Ma’sum et al.
Summary of Routoo: Learning to Route to Large Language Models Effectively, by Alireza Mohammadshahi et al.
Summary of Evaluating the Determinants Of Mode Choice Using Statistical and Machine Learning Techniques in the Indian Megacity Of Bengaluru, by Tanmay Ghosh and Nithin Nagaraj
Summary of Cross-domain Few-shot Learning Via Adaptive Transformer Networks, by Naeem Paeedeh et al.
Summary of Towards Consistent Natural-language Explanations Via Explanation-consistency Finetuning, by Yanda Chen et al.
Summary of Accelerating Retrieval-augmented Language Model Serving with Speculation, by Zhihao Zhang et al.
Summary of The Risk Of Federated Learning to Skew Fine-tuning Features and Underperform Out-of-distribution Robustness, by Mengyao Du et al.
Summary of Novel Quadratic Constraints For Extending Lipsdp Beyond Slope-restricted Activations, by Patricia Pauli et al.
Summary of Sparse and Transferable Universal Singular Vectors Attack, by Kseniia Kuvshinova et al.
Summary of Inadequacy Of Common Stochastic Neural Networks For Reliable Clinical Decision Support, by Adrian Lindenmeyer et al.
Summary of Graph-informed Neural Networks For Sparse Grid-based Discontinuity Detectors, by Francesco Della Santa and Sandra Pieraccini
Summary of Mambabyte: Token-free Selective State Space Model, by Junxiong Wang et al.
Summary of The Definitive Guide to Policy Gradients in Deep Reinforcement Learning: Theory, Algorithms and Implementations, by Matthias Lehmann
Summary of Emp: Effective Multidimensional Persistence For Graph Representation Learning, by Ignacio Segovia-dominguez et al.
Summary of Value-driven Mixed-precision Quantization For Patch-based Inference on Microcontrollers, by Wei Tao et al.
Summary of Can I Trust My Fake Data — a Comprehensive Quality Assessment Framework For Synthetic Tabular Data in Healthcare, by Vibeke Binz Vallevik et al.
Summary of Inference Attacks Against Face Recognition Model Without Classification Layers, by Yuanqing Huang et al.
Summary of A Training Rate and Survival Heuristic For Inference and Robustness Evaluation (trashfire), by Charles Meyers et al.
Summary of Conformal Prediction Sets Improve Human Decision Making, by Jesse C. Cresswell et al.
Summary of Uncertainty-guided Alignment For Unsupervised Domain Adaptation in Regression, by Ismail Nejjar et al.
Summary of Nlice: Synthetic Medical Record Generation For Effective Primary Healthcare Differential Diagnosis, by Zaid Al-ars et al.
Summary of Traffic Pattern Classification in Smart Cities Using Deep Recurrent Neural Network, by Ayad Ghany Ismaeel et al.
Summary of Don’t Push the Button! Exploring Data Leakage Risks in Machine Learning and Transfer Learning, by Andrea Apicella et al.
Summary of Navigating Dataset Documentations in Ai: a Large-scale Analysis Of Dataset Cards on Hugging Face, by Xinyu Yang et al.
Summary of Traffic Learning and Proactive Uav Trajectory Planning For Data Uplink in Markovian Iot Models, by Eslam Eldeeb et al.
Summary of What Large Language Models Know and What People Think They Know, by Mark Steyvers et al.
Summary of Embedding Attack Project (work Report), by Jiameng Pu and Zafar Takhirov
Summary of Enumerating the K-fold Configurations in Multi-class Classification Problems, by Attila Fazekas and Gyorgy Kovacs
Summary of Graph Diffusion Transformers For Multi-conditional Molecular Generation, by Gang Liu et al.
Summary of Classification Of Radiologically Isolated Syndrome and Clinically Isolated Syndrome with Machine-learning Techniques, by V Mato-abad et al.
Summary of Contextual: Evaluating Context-sensitive Text-rich Visual Reasoning in Large Multimodal Models, by Rohan Wadhawan et al.
Summary of Generating Synthetic Health Sensor Data For Privacy-preserving Wearable Stress Detection, by Lucas Lange and Nils Wenzlitschke and Erhard Rahm
Summary of Nachos: Neural Architecture Search For Hardware Constrained Early Exit Neural Networks, by Matteo Gambella et al.
Summary of Debiased Sample Selection For Combating Noisy Labels, by Qi Wei et al.
Summary of Explainable Bayesian Optimization, by Tanmay Chakraborty et al.
Summary of Full Bayesian Significance Testing For Neural Networks, by Zehua Liu et al.
Summary of Mitigating System Bias in Resource Constrained Asynchronous Federated Learning Systems, by Jikun Gao et al.
Summary of Reranking Individuals: the Effect Of Fair Classification Within-groups, by Sofie Goethals et al.
Summary of Text Categorization Can Enhance Domain-agnostic Stopword Extraction, by Houcemeddine Turki et al.
Summary of Multi-agent Diagnostics For Robustness Via Illuminated Diversity, by Mikayel Samvelyan et al.
Summary of Symbolic Equation Solving Via Reinforcement Learning, by Lennart Dabelow and Masahito Ueda
Summary of Continuous-time Riemannian Sgd and Svrg Flows on Wasserstein Probabilistic Space, by Mingyang Yi et al.
Summary of Beyond Concept Bottleneck Models: How to Make Black Boxes Intervenable?, by Sonia Laguna et al.
Summary of Benchmarking the Fairness Of Image Upsampling Methods, by Mike Laszkiewicz et al.
Summary of Task Structure and Nonlinearity Jointly Determine Learned Representational Geometry, by Matteo Alleman et al.
Summary of Can Overfitted Deep Neural Networks in Adversarial Training Generalize? — An Approximation Viewpoint, by Zhongjie Shi et al.
Summary of Instruction Fine-tuning: Does Prompt Loss Matter?, by Mathew Huerta-enochian et al.
Summary of How Good Is Chatgpt at Face Biometrics? a First Look Into Recognition, Soft Biometrics, and Explainability, by Ivan Deandres-tame et al.
Summary of Visualwebarena: Evaluating Multimodal Agents on Realistic Visual Web Tasks, by Jing Yu Koh et al.
Summary of Enhancing Global Maritime Traffic Network Forecasting with Gravity-inspired Deep Learning Models, by Ruixin Song et al.
Summary of Sparse Identification Of Nonlinear Dynamics in the Presence Of Library and System Uncertainty, by Andrew O’brien
Summary of Contractive Diffusion Probabilistic Models, by Wenpin Tang and Hanyang Zhao
Summary of Stable and Safe Human-aligned Reinforcement Learning Through Neural Ordinary Differential Equations, by Liqun Zhao et al.
Summary of Time-aware Knowledge Representations Of Dynamic Objects with Multidimensional Persistence, by Baris Coskunuzer et al.
Summary of Compositional Generative Inverse Design, by Tailin Wu et al.
Summary of Spactor-t5: Pre-training T5 Models with Span Corruption and Replaced Token Detection, by Ke Ye et al.
Summary of Agentboard: An Analytical Evaluation Board Of Multi-turn Llm Agents, by Chang Ma et al.
Summary of Topology-aware Embedding Memory For Continual Learning on Expanding Networks, by Xikun Zhang et al.
Summary of Generative Design Of Crystal Structures by Point Cloud Representations and Diffusion Model, By Zhelin Li et al.
Summary of Self-improving Interference Management Based on Deep Learning with Uncertainty Quantification, by Hyun-suk Lee et al.
Summary of Multitask Active Learning For Graph Anomaly Detection, by Wenjing Chang et al.
Summary of Amanet: Advancing Sar Ship Detection with Adaptive Multi-hierarchical Attention Network, by Xiaolin Ma et al.
Summary of Adcorda: Classifier Refinement Via Adversarial Correction and Domain Adaptation, by Lulan Shen et al.
Summary of On Principled Local Optimization Methods For Federated Learning, by Honglin Yuan
Summary of Lpnl: Scalable Link Prediction with Large Language Models, by Baolong Bi et al.
Summary of From Random to Informed Data Selection: a Diversity-based Approach to Optimize Human Annotation and Few-shot Learning, by Alexandre Alcoforado et al.