Paper List

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Summary of Machine Learning-based System Reliability Analysis with Gaussian Process Regression, by Lisang Zhou et al.
Summary of Is Mamba Effective For Time Series Forecasting?, by Zihan Wang and Fanheng Kong and Shi Feng and Ming Wang and Xiaocui Yang and Han Zhao and Daling Wang and Yifei Zhang
Summary of Cgi-dm: Digital Copyright Authentication For Diffusion Models Via Contrasting Gradient Inversion, by Xiaoyu Wu et al.
Summary of Can Large Language Models Solve Robot Routing?, by Zhehui Huang et al.
Summary of Model Reprogramming Outperforms Fine-tuning on Out-of-distribution Data in Text-image Encoders, by Andrew Geng et al.
Summary of Enhancing Out-of-distribution Detection with Multitesting-based Layer-wise Feature Fusion, by Jiawei Li et al.
Summary of Anomaly Detection Based on Isolation Mechanisms: a Survey, by Yang Cao et al.
Summary of Flykd: Graph Knowledge Distillation on the Fly with Curriculum Learning, by Eugene Ku
Summary of Incentivized Exploration Of Non-stationary Stochastic Bandits, by Sourav Chakraborty and Lijun Chen
Summary of Lookalike: Human Mimicry Based Collaborative Decision Making, by Rabimba Karanjai et al.
Summary of Twin Transformer Using Gated Dynamic Learnable Attention Mechanism For Fault Detection and Diagnosis in the Tennessee Eastman Process, by Mohammad Ali Labbaf-khaniki et al.
Summary of Just Say the Name: Online Continual Learning with Category Names Only Via Data Generation, by Minhyuk Seo et al.
Summary of Reinforcement Learning with Options and State Representation, by Ayoub Ghriss and Masashi Sugiyama and Alessandro Lazaric
Summary of Neural-kernel Conditional Mean Embeddings, by Eiki Shimizu et al.
Summary of Probabilistic World Modeling with Asymmetric Distance Measure, by Meng Song
Summary of List Sample Compression and Uniform Convergence, by Steve Hanneke et al.
Summary of Dtor: Decision Tree Outlier Regressor to Explain Anomalies, by Riccardo Crupi et al.
Summary of Automatic Location Detection Based on Deep Learning, by Anjali Karangiya et al.
Summary of Graph Regularized Nmf with L20-norm For Unsupervised Feature Learning, by Zhen Wang and Wenwen Min
Summary of Interpretable Machine Learning For Tabpfn, by David Rundel et al.
Summary of Function-space Parameterization Of Neural Networks For Sequential Learning, by Aidan Scannell et al.
Summary of The Fallacy Of Minimizing Cumulative Regret in the Sequential Task Setting, by Ziping Xu et al.
Summary of Dreaming Of Many Worlds: Learning Contextual World Models Aids Zero-shot Generalization, by Sai Prasanna et al.
Summary of A Survey Of Source Code Representations For Machine Learning-based Cybersecurity Tasks, by Beatrice Casey et al.
Summary of Palm: Pushing Adaptive Learning Rate Mechanisms For Continual Test-time Adaptation, by Sarthak Kumar Maharana et al.
Summary of Improving Fairness in Credit Lending Models Using Subgroup Threshold Optimization, by Cecilia Ying et al.
Summary of Hessian-free Laplace in Bayesian Deep Learning, by James Mcinerney et al.
Summary of Interlude: Interactions Between Labeled and Unlabeled Data to Enhance Semi-supervised Learning, by Zhe Huang et al.
Summary of Myte: Morphology-driven Byte Encoding For Better and Fairer Multilingual Language Modeling, by Tomasz Limisiewicz and Terra Blevins and Hila Gonen and Orevaoghene Ahia and Luke Zettlemoyer
Summary of On the Low-shot Transferability Of [v]-mamba, by Diganta Misra et al.
Summary of Discovering Latent Themes in Social Media Messaging: a Machine-in-the-loop Approach Integrating Llms, by Tunazzina Islam et al.
Summary of Parameter Efficient Reinforcement Learning From Human Feedback, by Hakim Sidahmed and Samrat Phatale and Alex Hutcheson and Zhuonan Lin and Zhang Chen and Zac Yu and Jarvis Jin and Simral Chaudhary and Roman Komarytsia and Christiane Ahlheim and Yonghao Zhu and Bowen Li and Saravanan Ganesh and Bill Byrne and Jessica Hoffmann and Hassan Mansoor and Wei Li and Abhinav Rastogi and Lucas Dixon
Summary of Backdoor Secrets Unveiled: Identifying Backdoor Data with Optimized Scaled Prediction Consistency, by Soumyadeep Pal et al.
Summary of Counterfactual Analysis Of Neural Networks Used to Create Fertilizer Management Zones, by Giorgio Morales and John Sheppard
Summary of Giving a Hand to Diffusion Models: a Two-stage Approach to Improving Conditional Human Image Generation, by Anton Pelykh et al.
Summary of Variance-dependent Regret Bounds For Non-stationary Linear Bandits, by Zhiyong Wang and Jize Xie and Yi Chen and John C.s. Lui and Dongruo Zhou
Summary of Horizon-free Regret For Linear Markov Decision Processes, by Zihan Zhang et al.
Summary of Scheduling Drone and Mobile Charger Via Hybrid-action Deep Reinforcement Learning, by Jizhe Dou and Haotian Zhang and Guodong Sun
Summary of Drago: Primal-dual Coupled Variance Reduction For Faster Distributionally Robust Optimization, by Ronak Mehta et al.
Summary of Ode Discovery For Longitudinal Heterogeneous Treatment Effects Inference, by Krzysztof Kacprzyk et al.
Summary of A Probabilistic Approach For Model Alignment with Human Comparisons, by Junyu Cao et al.
Summary of Time Series Representation Learning with Supervised Contrastive Temporal Transformer, by Yuansan Liu et al.
Summary of Toward Adaptive Large Language Models Structured Pruning Via Hybrid-grained Weight Importance Assessment, by Jun Liu et al.
Summary of Training Self-localization Models For Unseen Unfamiliar Places Via Teacher-to-student Data-free Knowledge Transfer, by Kenta Tsukahara et al.
Summary of Karina: An Efficient Deep Learning Model For Global Weather Forecast, by Minjong Cheon et al.
Summary of Second-order Information Matters: Revisiting Machine Unlearning For Large Language Models, by Kang Gu et al.
Summary of Adaptive Hybrid Masking Strategy For Privacy-preserving Face Recognition Against Model Inversion Attack, by Yinggui Wang et al.
Summary of Generative Models and Connected and Automated Vehicles: a Survey in Exploring the Intersection Of Transportation and Ai, by Dong Shu et al.
Summary of A Collection Of the Accepted Papers For the Human-centric Representation Learning Workshop at Aaai 2024, by Dimitris Spathis et al.
Summary of Cooling-guide Diffusion Model For Battery Cell Arrangement, by Nicholas Sung et al.
Summary of Ensemble Learning For Predictive Uncertainty Estimation with Application to the Correction Of Satellite Precipitation Products, by Georgia Papacharalampous et al.
Summary of Mope: Mixture Of Prompt Experts For Parameter-efficient and Scalable Multimodal Fusion, by Ruixiang Jiang et al.
Summary of Discovering Invariant Neighborhood Patterns For Heterophilic Graphs, by Ruihao Zhang et al.
Summary of Achieving Pareto Optimality Using Efficient Parameter Reduction For Dnns in Resource-constrained Edge Environment, by Atah Nuh Mih et al.
Summary of Generative Modelling Of Stochastic Rotating Shallow Water Noise, by Dan Crisan et al.
Summary of Reviewing Ai’s Role in Non-muscle-invasive Bladder Cancer Recurrence Prediction, by Saram Abbas et al.
Summary of Lightit: Illumination Modeling and Control For Diffusion Models, by Peter Kocsis (1) et al.
Summary of Survrnc: Learning Ordered Representations For Survival Prediction Using Rank-n-contrast, by Numan Saeed et al.
Summary of Sequential Monte Carlo For Inclusive Kl Minimization in Amortized Variational Inference, by Declan Mcnamara et al.
Summary of Dipaco: Distributed Path Composition, by Arthur Douillard et al.
Summary of Limits Of Approximating the Median Treatment Effect, by Raghavendra Addanki et al.
Summary of A Resource-constrained Stochastic Scheduling Algorithm For Homeless Street Outreach and Gleaning Edible Food, by Conor M. Artman et al.
Summary of Using Uncertainty Quantification to Characterize and Improve Out-of-domain Learning For Pdes, by S. Chandra Mouli et al.
Summary of Denoising Task Difficulty-based Curriculum For Training Diffusion Models, by Jin-young Kim et al.
Summary of Conformal Predictions For Probabilistically Robust Scalable Machine Learning Classification, by Alberto Carlevaro et al.
Summary of Towards a General Framework For Improving the Performance Of Classifiers Using Xai Methods, by Andrea Apicella et al.
Summary of An Energy-efficient Ensemble Approach For Mitigating Data Incompleteness in Iot Applications, by Yousef Alshehri and Lakshmish Ramaswamy
Summary of Regret Minimization Via Saddle Point Optimization, by Johannes Kirschner et al.
Summary of Isotropic3d: Image-to-3d Generation Based on a Single Clip Embedding, by Pengkun Liu et al.
Summary of A Comparative Study on Machine Learning Approaches For Rock Mass Classification Using Drilling Data, by Tom F. Hansen et al.
Summary of Block Verification Accelerates Speculative Decoding, by Ziteng Sun et al.
Summary of Structured Evaluation Of Synthetic Tabular Data, by Scott Cheng-hsin Yang et al.
Summary of Robust Sparse Estimation For Gaussians with Optimal Error Under Huber Contamination, by Ilias Diakonikolas et al.
Summary of Enhancing Llm Factual Accuracy with Rag to Counter Hallucinations: a Case Study on Domain-specific Queries in Private Knowledge-bases, by Jiarui Li and Ye Yuan and Zehua Zhang
Summary of Understanding the Double Descent Phenomenon in Deep Learning, by Marc Lafon and Alexandre Thomas
Summary of Introducing Adaptive Continuous Adversarial Training (acat) to Enhance Ml Robustness, by Mohamed Elshehaby et al.
Summary of Approximate Nullspace Augmented Finetuning For Robust Vision Transformers, by Haoyang Liu et al.
Summary of Joint Multimodal Transformer For Emotion Recognition in the Wild, by Paul Waligora et al.
Summary of Benchmarking Zero-shot Robustness Of Multimodal Foundation Models: a Pilot Study, by Chenguang Wang et al.
Summary of Featup: a Model-agnostic Framework For Features at Any Resolution, by Stephanie Fu et al.
Summary of Semi-supervised Learning For Anomaly Traffic Detection Via Bidirectional Normalizing Flows, by Zhangxuan Dang et al.
Summary of Strong and Controllable Blind Image Decomposition, by Zeyu Zhang et al.
Summary of Learning to Watermark Llm-generated Text Via Reinforcement Learning, by Xiaojun Xu et al.
Summary of Improving Medical Multi-modal Contrastive Learning with Expert Annotations, by Yogesh Kumar et al.
Summary of Nlp Verification: Towards a General Methodology For Certifying Robustness, by Marco Casadio et al.
Summary of Functional Graph Convolutional Networks: a Unified Multi-task and Multi-modal Learning Framework to Facilitate Health and Social-care Insights, by Tobia Boschi et al.
Summary of Online Policy Learning From Offline Preferences, by Guoxi Zhang and Han Bao and Hisashi Kashima
Summary of Coreecho: Continuous Representation Learning For 2d+time Echocardiography Analysis, by Fadillah Adamsyah Maani et al.
Summary of Explainability Through Uncertainty: Trustworthy Decision-making with Neural Networks, by Arthur Thuy et al.
Summary of Fast and Reliable Uncertainty Quantification with Neural Network Ensembles For Industrial Image Classification, by Arthur Thuy et al.
Summary of A Short Survey on Importance Weighting For Machine Learning, by Masanari Kimura and Hideitsu Hino
Summary of Perceptual Quality-based Model Training Under Annotator Label Uncertainty, by Chen Zhou et al.
Summary of From Chaos to Clarity: Time Series Anomaly Detection in Astronomical Observations, by Xinli Hao et al.
Summary of Interpretable Machine Learning For Survival Analysis, by Sophie Hanna Langbein et al.
Summary of Less Is More: One-shot Subgraph Reasoning on Large-scale Knowledge Graphs, by Zhanke Zhou et al.
Summary of Open Continual Feature Selection Via Granular-ball Knowledge Transfer, by Xuemei Cao et al.
Summary of Comprehensive Study Of Predictive Maintenance in Industries Using Classification Models and Lstm Model, by Saket Maheshwari et al.
Summary of Team Trifecta at Factify5wqa: Setting the Standard in Fact Verification with Fine-tuning, by Shang-hsuan Chiang et al.
Summary of Generation Is Better Than Modification: Combating High Class Homophily Variance in Graph Anomaly Detection, by Rui Zhang et al.
Summary of Rough Transformers For Continuous and Efficient Time-series Modelling, by Fernando Moreno-pino et al.