Paper List

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Summary of Ecats: Explainable-by-design Concept-based Anomaly Detection For Time Series, by Irene Ferfoglia et al.
Summary of Not All Prompts Are Secure: a Switchable Backdoor Attack Against Pre-trained Vision Transformers, by Sheng Yang et al.
Summary of Adaptive Feature-based Low-rank Compression Of Large Language Models Via Bayesian Optimization, by Yixin Ji et al.
Summary of Distributed Event-based Learning Via Admm, by Guner Dilsad Er et al.
Summary of Lat-pfn: a Joint Embedding Predictive Architecture For In-context Time-series Forecasting, by Stijn Verdenius et al.
Summary of Asynchronous Federated Stochastic Optimization For Heterogeneous Objectives Under Arbitrary Delays, by Charikleia Iakovidou et al.
Summary of Estimating a Function and Its Derivatives Under a Smoothness Condition, by Eunji Lim
Summary of Relational Dnn Verification with Cross Executional Bound Refinement, by Debangshu Banerjee et al.
Summary of Gpt Store Mining and Analysis, by Dongxun Su et al.
Summary of Low-rank Adaptation Of Time Series Foundational Models For Out-of-domain Modality Forecasting, by Divij Gupta et al.
Summary of Random Relu Neural Networks As Non-gaussian Processes, by Rahul Parhi et al.
Summary of Enadpool: the Edge-node Attention-based Differentiable Pooling For Graph Neural Networks, by Zhehan Zhao et al.
Summary of Two-phase Dynamics Of Interactions Explains the Starting Point Of a Dnn Learning Over-fitted Features, by Junpeng Zhang et al.
Summary of Fine-tuning Large Vision-language Models As Decision-making Agents Via Reinforcement Learning, by Yuexiang Zhai et al.
Summary of Partially Unitary Learning, by Mikhail Gennadievich Belov et al.
Summary of Hw-gpt-bench: Hardware-aware Architecture Benchmark For Language Models, by Rhea Sanjay Sukthanker et al.
Summary of Conformal Alignment: Knowing When to Trust Foundation Models with Guarantees, by Yu Gui et al.
Summary of How Far Are We From Agi: Are Llms All We Need?, by Tao Feng et al.
Summary of Stochastic Q-learning For Large Discrete Action Spaces, by Fares Fourati et al.
Summary of Amcen: An Attention Masking-based Contrastive Event Network For Two-stage Temporal Knowledge Graph Reasoning, by Jing Yang et al.
Summary of Monitizer: Automating Design and Evaluation Of Neural Network Monitors, by Muqsit Azeem and Marta Grobelna and Sudeep Kanav and Jan Kretinsky and Stefanie Mohr and Sabine Rieder
Summary of Implementing a Gru Neural Network For Flood Prediction in Ashland City, Tennessee, by George K. Fordjour and Alfred J. Kalyanapu
Summary of Amazutah_nlp at Semeval-2024 Task 9: a Multichoice Question Answering System For Commonsense Defying Reasoning, by Mina Ghashami et al.
Summary of A Note on Continuous-time Online Learning, by Lexing Ying
Summary of Densely Distilling Cumulative Knowledge For Continual Learning, by Zenglin Shi et al.
Summary of Parallel Backpropagation For Shared-feature Visualization, by Alexander Lappe et al.
Summary of Nearly Minimax Optimal Regret For Multinomial Logistic Bandit, by Joongkyu Lee et al.
Summary of Unsupervised Work Behavior Pattern Extraction Based on Hierarchical Probabilistic Model, by Issei Saito et al.
Summary of Advances in Robust Federated Learning: a Survey with Heterogeneity Considerations, by Chuan Chen et al.
Summary of Simultaneous Identification Of Sparse Structures and Communities in Heterogeneous Graphical Models, by Dapeng Shi et al.
Summary of Towards Realistic Incremental Scenario in Class Incremental Semantic Segmentation, by Jihwan Kwak et al.
Summary of Hyperplane Arrangements and Fixed Points in Iterated Pwl Neural Networks, by Hans-peter Beise
Summary of Mtlcomb: Multi-task Learning Combining Regression and Classification Tasks For Joint Feature Selection, by Han Cao et al.
Summary of Balancing Similarity and Complementarity For Federated Learning, by Kunda Yan et al.
Summary of A Machine Learning Approach For Simultaneous Demapping Of Qam and Apsk Constellations, by Arwin Gansekoele et al.
Summary of Scaling Convolutional Neural Networks Achieves Expert-level Seizure Detection in Neonatal Eeg, by Robert Hogan et al.
Summary of Zero-shot Hierarchical Classification on the Common Procurement Vocabulary Taxonomy, by Federico Moiraghi and Matteo Palmonari and Davide Allavena and Federico Morando
Summary of Predicting Solar Heat Production to Optimize Renewable Energy Usage, by Tatiana Boura and Natalia Koliou and George Meramveliotakis and Stasinos Konstantopoulos and George Kosmadakis
Summary of Reward Centering, by Abhishek Naik et al.
Summary of Machine Learning-based Path Loss Modeling with Simplified Features, by Jonathan Ethier and Mathieu Chateauvert
Summary of Listen Again and Choose the Right Answer: a New Paradigm For Automatic Speech Recognition with Large Language Models, by Yuchen Hu et al.
Summary of The Real Price Of Bandit Information in Multiclass Classification, by Liad Erez et al.
Summary of A Finite-sample Generalization Bound For Stable Lpv Systems, by Daniel Racz et al.
Summary of Synthesizrr: Generating Diverse Datasets with Retrieval Augmentation, by Abhishek Divekar and Greg Durrett
Summary of Enhancing Maritime Trajectory Forecasting Via H3 Index and Causal Language Modelling (clm), by Nicolas Drapier et al.
Summary of When Ai Eats Itself: on the Caveats Of Ai Autophagy, by Xiaodan Xing et al.
Summary of Aggregate Representation Measure For Predictive Model Reusability, by Vishwesh Sangarya and Richard Bradford and Jung-eun Kim
Summary of Improving Label Error Detection and Elimination with Uncertainty Quantification, by Johannes Jakubik et al.
Summary of Elements Of World Knowledge (ewok): a Cognition-inspired Framework For Evaluating Basic World Knowledge in Language Models, by Anna A. Ivanova et al.
Summary of Lora Learns Less and Forgets Less, by Dan Biderman et al.
Summary of Point2ssm++: Self-supervised Learning Of Anatomical Shape Models From Point Clouds, by Jadie Adams et al.
Summary of Generalized Holographic Reduced Representations, by Calvin Yeung et al.
Summary of Spectral Editing Of Activations For Large Language Model Alignment, by Yifu Qiu et al.
Summary of Random Scaling and Momentum For Non-smooth Non-convex Optimization, by Qinzi Zhang et al.
Summary of An Autoencoder and Generative Adversarial Networks Approach For Multi-omics Data Imbalanced Class Handling and Classification, by Ibrahim Al-hurani et al.
Summary of Harmonizing Generalization and Personalization in Federated Prompt Learning, by Tianyu Cui et al.
Summary of An Independent Implementation Of Quantum Machine Learning Algorithms in Qiskit For Genomic Data, by Navneet Singh and Shiva Raj Pokhrel
Summary of Online Bipartite Matching with Imperfect Advice, by Davin Choo et al.
Summary of Llm and Simulation As Bilevel Optimizers: a New Paradigm to Advance Physical Scientific Discovery, by Pingchuan Ma et al.
Summary of Manifold Integrated Gradients: Riemannian Geometry For Feature Attribution, by Eslam Zaher et al.
Summary of Ibd-psc: Input-level Backdoor Detection Via Parameter-oriented Scaling Consistency, by Linshan Hou et al.
Summary of Many-shot In-context Learning in Multimodal Foundation Models, by Yixing Jiang et al.
Summary of Medisyn: a Generalist Text-guided Latent Diffusion Model For Diverse Medical Image Synthesis, by Joseph Cho et al.
Summary of Active Learning with Fully Bayesian Neural Networks For Discontinuous and Nonstationary Data, by Maxim Ziatdinov
Summary of Agnostic Active Learning Of Single Index Models with Linear Sample Complexity, by Aarshvi Gajjar et al.
Summary of Timex++: Learning Time-series Explanations with Information Bottleneck, by Zichuan Liu et al.
Summary of Reconboost: Boosting Can Achieve Modality Reconcilement, by Cong Hua et al.
Summary of On the Saturation Effect Of Kernel Ridge Regression, by Yicheng Li et al.
Summary of Sa-fedlora: Adaptive Parameter Allocation For Efficient Federated Learning with Lora Tuning, by Yuning Yang et al.
Summary of Harmonizing Human Insights and Ai Precision: Hand in Hand For Advancing Knowledge Graph Task, by Shurong Wang et al.
Summary of Demopts: Fairness Corrections in Covid-19 Case Prediction Models, by Naman Awasthi et al.
Summary of Kuramoto Oscillators and Swarms on Manifolds For Geometry Informed Machine Learning, by Vladimir Jacimovic
Summary of C-learner: Constrained Learning For Causal Inference and Semiparametric Statistics, by Tiffany Tianhui Cai et al.
Summary of Mgser-sam: Memory-guided Soft Experience Replay with Sharpness-aware Optimization For Enhanced Continual Learning, by Xingyu Li and Bo Tang
Summary of Modeling Bilingual Sentence Processing: Evaluating Rnn and Transformer Architectures For Cross-language Structural Priming, by Demi Zhang et al.
Summary of Spectral Complexity Of Deep Neural Networks, by Simmaco Di Lillo et al.
Summary of Scalable Sparse Regression For Model Discovery: the Fast Lane to Insight, by Matthew Golden
Summary of Error-margin Analysis For Hidden Neuron Activation Labels, by Abhilekha Dalal et al.
Summary of Restless Bandit Problem with Rewards Generated by a Linear Gaussian Dynamical System, By Jonathan Gornet et al.
Summary of An Embarrassingly Simple Approach to Enhance Transformer Performance in Genomic Selection For Crop Breeding, by Renqi Chen et al.
Summary of Training Deep Learning Models with Hybrid Datasets For Robust Automatic Target Detection on Real Sar Images, by Benjamin Camus et al.
Summary of A Comprehensive Survey Of Hallucination in Large Language, Image, Video and Audio Foundation Models, by Pranab Sahoo et al.
Summary of A Comprehensive Survey on Data Augmentation, by Zaitian Wang et al.
Summary of A Survey Of Generative Techniques For Spatial-temporal Data Mining, by Qianru Zhang et al.
Summary of Smart: Towards Pre-trained Missing-aware Model For Patient Health Status Prediction, by Zhihao Yu et al.
Summary of Perception Without Vision For Trajectory Prediction: Ego Vehicle Dynamics As Scene Representation For Efficient Active Learning in Autonomous Driving, by Ross Greer et al.
Summary of Response Matching For Generating Materials and Molecules, by Bingqing Cheng
Summary of Enhancing Airline Customer Satisfaction: a Machine Learning and Causal Analysis Approach, by Tejas Mirthipati (georgia Institute Of Technology)
Summary of Chaos-based Reinforcement Learning with Td3, by Toshitaka Matsuki et al.
Summary of Optimizing Sensor Network Design For Multiple Coverage, by Lukas Taus et al.
Summary of Efficient Llm Jailbreak Via Adaptive Dense-to-sparse Constrained Optimization, by Kai Hu et al.
Summary of Overcoming Domain Drift in Online Continual Learning, by Fan Lyu et al.
Summary of Adapting Abstract Meaning Representation Parsing to the Clinical Narrative — the Spring Thyme Parser, by Jon Z. Cai et al.
Summary of Cross-input Certified Training For Universal Perturbations, by Changming Xu et al.
Summary of Lens Functions For Exploring Umap Projections with Domain Knowledge, by Daniel M. Bot et al.
Summary of Alpine: Unveiling the Planning Capability Of Autoregressive Learning in Language Models, by Siwei Wang et al.
Summary of Bridging the Gap in Online Hate Speech Detection: a Comparative Analysis Of Bert and Traditional Models For Homophobic Content Identification on X/twitter, by Josh Mcgiff and Nikola S. Nikolov
Summary of Graph Neural Network Based Handwritten Trajectories Recognition, by Anuj Sharma et al.
Summary of Does Machine Bring in Extra Bias in Learning? Approximating Fairness in Models Promptly, by Yijun Bian et al.
Summary of Dynamic Activation Pitfalls in Llama Models: An Empirical Study, by Chi Ma et al.