Paper List

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Summary of Contrastive Learning For Character Detection in Ancient Greek Papyri, by Vedasri Nakka et al.
Summary of Tcdformer-based Momentum Transfer Model For Long-term Sports Prediction, by Hui Liu et al.
Summary of Enhancing Rl Safety with Counterfactual Llm Reasoning, by Dennis Gross and Helge Spieker
Summary of A Benchmark Dataset with Larger Context For Non-factoid Question Answering Over Islamic Text, by Faiza Qamar et al.
Summary of Generating Synthetic Free-text Medical Records with Low Re-identification Risk Using Masked Language Modeling, by Samuel Belkadi et al.
Summary of A Survey Of Out-of-distribution Generalization For Graph Machine Learning From a Causal View, by Jing Ma
Summary of S2cap: a Benchmark and a Baseline For Singing Style Captioning, by Hyunjong Ok et al.
Summary of Scaling Continuous Kernels with Sparse Fourier Domain Learning, by Clayton Harper et al.
Summary of Leiden-fusion Partitioning Method For Effective Distributed Training Of Graph Embeddings, by Yuhe Bai et al.
Summary of Flexible Diffusion Scopes with Parameterized Laplacian For Heterophilic Graph Learning, by Qincheng Lu et al.
Summary of Proximal Ranking Policy Optimization For Practical Safety in Counterfactual Learning to Rank, by Shashank Gupta et al.
Summary of Dynamic Fraud Detection: Integrating Reinforcement Learning Into Graph Neural Networks, by Yuxin Dong et al.
Summary of Estimating Wage Disparities Using Foundation Models, by Keyon Vafa et al.
Summary of Grin: Zero-shot Metric Depth with Pixel-level Diffusion, by Vitor Guizilini et al.
Summary of Multi-step Embed to Control: a Novel Deep Learning-based Approach For Surrogate Modelling in Reservoir Simulation, by Jungang Chen et al.
Summary of Fault Analysis and Predictive Maintenance Of Induction Motor Using Machine Learning, by Kavana Venkatesh et al.
Summary of Generalizability Of Graph Neural Network Force Fields For Predicting Solid-state Properties, by Shaswat Mohanty et al.
Summary of Learning Large Softmax Mixtures with Warm Start Em, by Xin Bing and Florentina Bunea and Jonathan Niles-weed and Marten Wegkamp
Summary of Mining Of Switching Sparse Networks For Missing Value Imputation in Multivariate Time Series, by Kohei Obata et al.
Summary of Mobility-gcn: a Human Mobility-based Graph Convolutional Network For Tracking and Analyzing the Spatial Dynamics Of the Synthetic Opioid Crisis in the Usa, 2013-2020, by Zhiyue Xia et al.
Summary of Optimal Ablation For Interpretability, by Maximilian Li and Lucas Janson
Summary of An Offline Adaptation Framework For Constrained Multi-objective Reinforcement Learning, by Qian Lin et al.
Summary of Deep Graph Anomaly Detection: a Survey and New Perspectives, by Hezhe Qiao et al.
Summary of Training Safe Neural Networks with Global Sdp Bounds, by Roman Soletskyi and David “davidad” Dalrymple
Summary of Predicting Building Types and Functions at Transnational Scale, by Jonas Fill et al.
Summary of Gflownet Pretraining with Inexpensive Rewards, by Mohit Pandey et al.
Summary of Elsa: Exploiting Layer-wise N:m Sparsity For Vision Transformer Acceleration, by Ning-chi Huang et al.
Summary of Alpapico: Extraction Of Pico Frames From Clinical Trial Documents Using Llms, by Madhusudan Ghosh et al.
Summary of From Challenges and Pitfalls to Recommendations and Opportunities: Implementing Federated Learning in Healthcare, by Ming Li et al.
Summary of Finetuning Clip to Reason About Pairwise Differences, by Dylan Sam et al.
Summary of Oml-ad: Online Machine Learning For Anomaly Detection in Time Series Data, by Sebastian Wette et al.
Summary of The Optimality Of (accelerated) Sgd For High-dimensional Quadratic Optimization, by Haihan Zhang et al.
Summary of Darda: Domain-aware Real-time Dynamic Neural Network Adaptation, by Shahriar Rifat et al.
Summary of Cluster Aware Graph Anomaly Detection, by Lecheng Zheng et al.
Summary of Analysis Of Centrifugal Clutches in Two-speed Automatic Transmissions with Deep Learning-based Engagement Prediction, by Bo-yi Lin and Kai Chun Lin
Summary of Rewind-to-delete: Certified Machine Unlearning For Nonconvex Functions, by Siqiao Mu et al.
Summary of Learning Rate Optimization For Deep Neural Networks Using Lipschitz Bandits, by Padma Priyanka et al.
Summary of Large Language Model Based Generative Error Correction: a Challenge and Baselines For Speech Recognition, Speaker Tagging, and Emotion Recognition, by Chao-han Huck Yang et al.
Summary of Bnem: a Boltzmann Sampler Based on Bootstrapped Noised Energy Matching, by Ruikang Ouyang et al.
Summary of Enhancing Data Quality Through Self-learning on Imbalanced Financial Risk Data, by Xu Sun et al.
Summary of Prose-fd: a Multimodal Pde Foundation Model For Learning Multiple Operators For Forecasting Fluid Dynamics, by Yuxuan Liu et al.
Summary of Latent Diffusion Models For Controllable Rna Sequence Generation, by Kaixuan Huang et al.
Summary of A Simpler Alternative to Variational Regularized Counterfactual Risk Minimization, by Hua Chang Bakker et al.
Summary of Tx-gen: Multi-objective Optimization For Sparse Counterfactual Explanations For Time-series Classification, by Qi Huang et al.
Summary of Hyperedge Representations with Hypergraph Wavelets: Applications to Spatial Transcriptomics, by Xingzhi Sun et al.
Summary of Malady: Multiclass Active Learning with Auction Dynamics on Graphs, by Gokul Bhusal et al.
Summary of Planning Transformer: Long-horizon Offline Reinforcement Learning with Planning Tokens, by Joseph Clinton et al.
Summary of Autonomous Goal Detection and Cessation in Reinforcement Learning: a Case Study on Source Term Estimation, by Yiwei Shi et al.
Summary of Using Synthetic Data to Mitigate Unfairness and Preserve Privacy in Collaborative Machine Learning, by Chia-yuan Wu et al.
Summary of Deep Fast Machine Learning Utils: a Python Library For Streamlined Machine Learning Prototyping, by Fabi Prezja
Summary of Enhancing Printed Circuit Board Defect Detection Through Ensemble Learning, by Ka Nam Canaan Law et al.
Summary of Comfort: a Continual Fine-tuning Framework For Foundation Models Targeted at Consumer Healthcare, by Chia-hao Li and Niraj K. Jha
Summary of Evaluating Authenticity and Quality Of Image Captions Via Sentiment and Semantic Analyses, by Aleksei Krotov et al.
Summary of Bias Begets Bias: the Impact Of Biased Embeddings on Diffusion Models, by Sahil Kuchlous et al.
Summary of Open-world Test-time Training: Self-training with Contrast Learning, by Houcheng Su et al.
Summary of Towards Data-centric Rlhf: Simple Metrics For Preference Dataset Comparison, by Judy Hanwen Shen et al.
Summary of Integrating Audio Narrations to Strengthen Domain Generalization in Multimodal First-person Action Recognition, by Cagri Gungor and Adriana Kovashka
Summary of Hj-sampler: a Bayesian Sampler For Inverse Problems Of a Stochastic Process by Leveraging Hamilton-jacobi Pdes and Score-based Generative Models, By Tingwei Meng et al.
Summary of Understanding Simplicity Bias Towards Compositional Mappings Via Learning Dynamics, by Yi Ren et al.
Summary of A Novel Framework For Text Detection From Natural Scene Images with Complex Background, by Basavaraj Kaladagi et al.
Summary of Kan V.s. Mlp For Offline Reinforcement Learning, by Haihong Guo et al.
Summary of Cosco: a Sharpness-aware Training Framework For Few-shot Multivariate Time Series Classification, by Jesus Barreda et al.
Summary of Model Selection Through Model Sorting, by Mohammad Ali Hajiani and Babak Seyfe
Summary of Robust Training Of Neural Networks at Arbitrary Precision and Sparsity, by Chengxi Ye et al.
Summary of Active Learning to Guide Labeling Efforts For Question Difficulty Estimation, by Arthur Thuy et al.
Summary of Etage: Enhanced Test Time Adaptation with Integrated Entropy and Gradient Norms For Robust Model Performance, by Afshar Shamsi et al.
Summary of Operational Wind Speed Forecasts For Chile’s Electric Power Sector Using a Hybrid Ml Model, by Dhruv Suri et al.
Summary of Informative Subgraphs Aware Masked Auto-encoder in Dynamic Graphs, by Pengfe Jiao et al.
Summary of Labellessface: Fair Metric Learning For Face Recognition Without Attribute Labels, by Tetsushi Ohki et al.
Summary of Guiding Vision-language Model Selection For Visual Question-answering Across Tasks, Domains, and Knowledge Types, by Neelabh Sinha et al.
Summary of Language Models “grok” to Copy, by Ang Lv et al.
Summary of Turbo Your Multi-modal Classification with Contrastive Learning, by Zhiyu Zhang and Da Liu and Shengqiang Liu and Anna Wang and Jie Gao and Yali Li
Summary of Matrix Profile For Anomaly Detection on Multidimensional Time Series, by Chin-chia Michael Yeh et al.
Summary of Consistent Spectral Clustering in Hyperbolic Spaces, by Sagar Ghosh and Swagatam Das
Summary of Symbolic Regression with a Learned Concept Library, by Arya Grayeli et al.
Summary of Beta-sigma Vae: Separating Beta and Decoder Variance in Gaussian Variational Autoencoder, by Seunghwan Kim and Seungkyu Lee
Summary of Llm-powered Ensemble Learning For Paper Source Tracing: a Gpu-free Approach, by Kunlong Chen et al.
Summary of Topological Eigenvalue Theorems For Tensor Analysis in Multi-modal Data Fusion, by Ronald Katende
Summary of Real-world Adversarial Defense Against Patch Attacks Based on Diffusion Model, by Xingxing Wei et al.
Summary of Weather Prediction Using Cnn-lstm For Time Series Analysis: a Case Study on Delhi Temperature Data, by Bangyu Li et al.
Summary of Distributed Clustering Based on Distributional Kernel, by Hang Zhang et al.
Summary of Enhancing Llm Problem Solving with Reap: Reflection, Explicit Problem Deconstruction, and Advanced Prompting, by Ryan Lingo et al.
Summary of On the Generalizability Of Foundation Models For Crop Type Mapping, by Yi-chia Chang et al.
Summary of Identifying Factors to Help Improve Existing Decomposition-based Pmi Estimation Methods, by Anna-maria Nau et al.
Summary of Hesso: Towards Automatic Efficient and User Friendly Any Neural Network Training and Pruning, by Tianyi Chen et al.
Summary of Inf-mllm: Efficient Streaming Inference Of Multimodal Large Language Models on a Single Gpu, by Zhenyu Ning et al.
Summary of Y-drop: a Conductance Based Dropout For Fully Connected Layers, by Efthymios Georgiou et al.
Summary of Meds_reader: a Fast and Efficient Ehr Processing Library, by Ethan Steinberg et al.
Summary of S-ste: Continuous Pruning Function For Efficient 2:4 Sparse Pre-training, by Yuezhou Hu et al.
Summary of Recent Trends in Modelling the Continuous Time Series Using Deep Learning: a Survey, by Mansura Habiba et al.
Summary of Trimming the Risk: Towards Reliable Continuous Training For Deep Learning Inspection Systems, by Altaf Allah Abbassi et al.
Summary of Multimodal Fusion with Llms For Engagement Prediction in Natural Conversation, by Cheng Charles Ma et al.
Summary of Neural Message Passing Induced by Energy-constrained Diffusion, By Qitian Wu et al.
Summary of Curricula For Learning Robust Policies with Factored State Representations in Changing Environments, by Panayiotis Panayiotou et al.
Summary of Transformer with Controlled Attention For Synchronous Motion Captioning, by Karim Radouane and Sylvie Ranwez and Julien Lagarde and Andon Tchechmedjiev
Summary of Quantum-inspired Reinforcement Learning For Synthesizable Drug Design, by Dannong Wang et al.
Summary of Processtbench: An Llm Plan Generation Dataset For Process Mining, by Andrei Cosmin Redis et al.
Summary of Hierarchical Hypercomplex Network For Multimodal Emotion Recognition, by Eleonora Lopez et al.
Summary of Are Sparse Neural Networks Better Hard Sample Learners?, by Qiao Xiao et al.
Summary of Batched Online Contextual Sparse Bandits with Sequential Inclusion Of Features, by Rowan Swiers et al.