Paper List

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Summary of Simltd: Simple Supervised and Semi-supervised Long-tailed Object Detection, by Phi Vu Tran
Summary of On the Compositional Generalization Of Multimodal Llms For Medical Imaging, by Zhenyang Cai et al.
Summary of Maft: Efficient Model-agnostic Fairness Testing For Deep Neural Networks Via Zero-order Gradient Search, by Zhaohui Wang et al.
Summary of Syncdiff: Synchronized Motion Diffusion For Multi-body Human-object Interaction Synthesis, by Wenkun He et al.
Summary of Real-time Calibration Model For Low-cost Sensor in Fine-grained Time Series, by Seokho Ahn et al.
Summary of Pushing the Envelope Of Low-bit Llm Via Dynamic Error Compensation, by Yeonhong Park et al.
Summary of Imitation Learning From Suboptimal Demonstrations Via Meta-learning An Action Ranker, by Jiangdong Fan et al.
Summary of Generative Pretrained Embedding and Hierarchical Irregular Time Series Representation For Daily Living Activity Recognition, by Damien Bouchabou and Sao Mai Nguyen
Summary of Fortran2cpp: Automating Fortran-to-c++ Translation Using Llms Via Multi-turn Dialogue and Dual-agent Integration, by Le Chen et al.
Summary of Analysis Of Premature Death Rates in Texas Counties: the Impact Of Air Quality, Socioeconomic Factors, and Copd Prevalence, by Richard Rich and Ernesto Diaz
Summary of Tensor Network Estimation Of Distribution Algorithms, by John Gardiner and Javier Lopez-piqueres
Summary of Machine Learning For Sentiment Analysis Of Imported Food in Trinidad and Tobago, by Cassandra Daniels and Koffka Khan
Summary of Infalign: Inference-aware Language Model Alignment, by Ananth Balashankar and Ziteng Sun and Jonathan Berant and Jacob Eisenstein and Michael Collins and Adrian Hutter and Jong Lee and Chirag Nagpal and Flavien Prost and Aradhana Sinha and Ananda Theertha Suresh and Ahmad Beirami
Summary of Can Ai Help with Your Personal Finances?, by Oudom Hean et al.
Summary of Laser: a New Method For Locally Adaptive Nonparametric Regression, by Sabyasachi Chatterjee et al.
Summary of Back to the Future: a Hybrid Transformer-xgboost Model For Action-oriented Future-proofing Nowcasting, by Ziheng Sun
Summary of Conditional Balance: Improving Multi-conditioning Trade-offs in Image Generation, by Nadav Z. Cohen et al.
Summary of Symbolic Disentangled Representations For Images, by Alexandr Korchemnyi et al.
Summary of Reduced Order Models and Conditional Expectation — Analysing Parametric Low-order Approximations, by Hermann G. Matthies
Summary of Data-free Group-wise Fully Quantized Winograd Convolution Via Learnable Scales, by Shuokai Pan et al.
Summary of Surrogate Modeling For Explainable Predictive Time Series Corrections, by Alfredo Lopez et al.
Summary of Neighbor Does Matter: Density-aware Contrastive Learning For Medical Semi-supervised Segmentation, by Feilong Tang et al.
Summary of On the Convergence Of Dp-sgd with Adaptive Clipping, by Egor Shulgin et al.
Summary of Minimax-optimal Multi-agent Robust Reinforcement Learning, by Yuchen Jiao et al.
Summary of Standard-deviation-inspired Regularization For Improving Adversarial Robustness, by Olukorede Fakorede et al.
Summary of Data-driven Tool Wear Prediction in Milling, Based on a Process-integrated Single-sensor Approach, by Eric Hirsch and Christian Friedrich
Summary of Ergochat: a Visual Query System For the Ergonomic Risk Assessment Of Construction Workers, by Chao Fan et al.
Summary of Uncertainty Quantification For Improving Radiomic-based Models in Radiation Pneumonitis Prediction, by Chanon Puttanawarut et al.
Summary of Disparate Model Performance and Stability in Machine Learning Clinical Support For Diabetes and Heart Diseases, by Ioannis Bilionis et al.
Summary of Real-time Classification Of Eeg Signals Using Machine Learning Deployment, by Swati Chowdhuri et al.
Summary of Estimation Of System Parameters Including Repeated Cross-sectional Data Through Emulator-informed Deep Generative Model, by Hyunwoo Cho et al.
Summary of Interacted Object Grounding in Spatio-temporal Human-object Interactions, by Xiaoyang Liu et al.
Summary of Graph-attention-based Casual Discovery with Trust Region-navigated Clipping Policy Optimization, by Shixuan Liu et al.
Summary of A Comparative Study Of Machine Unlearning Techniques For Image and Text Classification Models, by Omar M. Safa et al.
Summary of Ultralight Signal Classification Model For Automatic Modulation Recognition, by Alessandro Daniele Genuardi Oquendo et al.
Summary of Goal-oriented Communications Based on Recursive Early Exit Neural Networks, by Jary Pomponi et al.
Summary of Vidta: Enhanced Drug-target Affinity Prediction Via Virtual Graph Nodes and Attention-based Feature Fusion, by Minghui Li et al.
Summary of Deep Linear Hawkes Processes, by Yuxin Chang et al.
Summary of Gradient Weight-normalized Low-rank Projection For Efficient Llm Training, by Jia-hong Huang et al.
Summary of Toward Modality Gap: Vision Prototype Learning For Weakly-supervised Semantic Segmentation with Clip, by Zhongxing Xu et al.
Summary of Asymmetrical Reciprocity-based Federated Learning For Resolving Disparities in Medical Diagnosis, by Jiaqi Wang et al.
Summary of Toward Adaptive Reasoning in Large Language Models with Thought Rollback, by Sijia Chen et al.
Summary of Deep Relu Networks — Injectivity Capacity Upper Bounds, by Mihailo Stojnic
Summary of Causal Machine Learning For Heterogeneous Treatment Effects in the Presence Of Missing Outcome Data, by Matthew Pryce et al.
Summary of Text2insight: Transform Natural Language Text Into Insights Seamlessly Using Multi-model Architecture, by Pradeep Sain
Summary of Eeg-reptile: An Automatized Reptile-based Meta-learning Library For Bcis, by Daniil A. Berdyshev et al.
Summary of Enhancing Adversarial Robustness Of Deep Neural Networks Through Supervised Contrastive Learning, by Longwei Wang et al.
Summary of Rag with Differential Privacy, by Nicolas Grislain
Summary of Vipcap: Retrieval Text-based Visual Prompts For Lightweight Image Captioning, by Taewhan Kim et al.
Summary of Xsrl: Safety-aware Explainable Reinforcement Learning — Safety As a Product Of Explainability, by Risal Shahriar Shefin et al.
Summary of Adaptive Conformal Inference by Betting, By Aleksandr Podkopaev et al.
Summary of Calico: Part-focused Semantic Co-segmentation with Large Vision-language Models, by Kiet A. Nguyen et al.
Summary of Performance Control in Early Exiting to Deploy Large Models at the Same Cost Of Smaller Ones, by Mehrnaz Mofakhami et al.
Summary of Large Language Models For Market Research: a Data-augmentation Approach, by Mengxin Wang (naveen Jindal School Of Management et al.
Summary of A Reinforcement Learning-based Task Mapping Method to Improve the Reliability Of Clustered Manycores, by Fatemeh Hossein-khani and Omid Akbari
Summary of Federated Hybrid Training and Self-adversarial Distillation: Towards Robust Edge Networks, by Yu Qiao et al.
Summary of Asymptotically Optimal Search For a Change Point Anomaly Under a Composite Hypothesis Model, by Liad Lea Didi et al.
Summary of Comparing Few to Rank Many: Active Human Preference Learning Using Randomized Frank-wolfe, by Kiran Koshy Thekumparampil et al.
Summary of An In-depth Analysis Of Adversarial Discriminative Domain Adaptation For Digit Classification, by Eugene Choi et al.
Summary of Fully Data-driven but Interpretable Human Behavioural Modelling with Differentiable Discrete Choice Model, by Fumiyasu Makinoshima et al.
Summary of Spectral-temporal Fusion Representation For Person-in-bed Detection, by Xuefeng Yang et al.
Summary of Gx2mol: De Novo Generation Of Hit-like Molecules From Gene Expression Profiles Via Deep Learning, by Chen Li et al.
Summary of Introduction to Graph Neural Networks: a Starting Point For Machine Learning Engineers, by James H. Tanis et al.
Summary of Revisiting Pca For Time Series Reduction in Temporal Dimension, by Jiaxin Gao et al.
Summary of Towards Simple and Provable Parameter-free Adaptive Gradient Methods, by Yuanzhe Tao et al.
Summary of Low-rank Contextual Reinforcement Learning From Heterogeneous Human Feedback, by Seong Jin Lee et al.
Summary of Optimizing Helmet Detection with Hybrid Yolo Pipelines: a Detailed Analysis, by Vaikunth M et al.
Summary of An End-to-end Depth-based Pipeline For Selfie Image Rectification, by Ahmed Alhawwary et al.
Summary of Provably Efficient Exploration in Reward Machines with Low Regret, by Hippolyte Bourel et al.
Summary of Gais: a Novel Approach to Instance Selection with Graph Attention Networks, by Zahiriddin Rustamov et al.
Summary of Developing Explainable Machine Learning Model Using Augmented Concept Activation Vector, by Reza Hassanpour et al.
Summary of Context-aware Deep Learning For Multi Modal Depression Detection, by Genevieve Lam et al.
Summary of Large Language Models Meet Graph Neural Networks: a Perspective Of Graph Mining, by Yuxin You et al.
Summary of Towards Better Spherical Sliced-wasserstein Distance Learning with Data-adaptive Discriminative Projection Direction, by Hongliang Zhang et al.
Summary of Optimizing Fantasy Sports Team Selection with Deep Reinforcement Learning, by Shamik Bhattacharjee et al.
Summary of Applying the Maximum Entropy Principle to Neural Networks Enhances Multi-species Distribution Models, by Maxime Ryckewaert et al.
Summary of Multi-view Fake News Detection Model Based on Dynamic Hypergraph, by Rongping Ye et al.
Summary of Learning Cross-domain Representations For Transferable Drug Perturbations on Single-cell Transcriptional Responses, by Hui Liu and Shikai Jin
Summary of Virtual Nodes Can Help: Tackling Distribution Shifts in Federated Graph Learning, by Xingbo Fu et al.
Summary of Seamo: a Multi-seasonal and Multimodal Remote Sensing Foundation Model, by Xuyang Li and Danfeng Hong and Chenyu Li and Jocelyn Chanussot
Summary of Finevq: Fine-grained User Generated Content Video Quality Assessment, by Huiyu Duan et al.
Summary of Latenrgy: Model Agnostic Latency and Energy Consumption Prediction For Binary Classifiers, by Jason M. Pittman
Summary of Localized Exploration in Contextual Dynamic Pricing Achieves Dimension-free Regret, by Jinhang Chai et al.
Summary of Multi-matrix Factorization Attention, by Jingcheng Hu et al.
Summary of Medec: a Benchmark For Medical Error Detection and Correction in Clinical Notes, by Asma Ben Abacha et al.
Summary of Pearsan: a Machine Learning Method For Inverse Design Using Pearson Correlated Surrogate Annealing, by Michael Bezick et al.
Summary of Time Series Foundational Models: Their Role in Anomaly Detection and Prediction, by Chathurangi Shyalika et al.
Summary of Learning Monocular Depth From Events Via Egomotion Compensation, by Haitao Meng et al.
Summary of Assessing Pre-trained Models For Transfer Learning Through Distribution Of Spectral Components, by Tengxue Zhang et al.
Summary of Mopd: Mixture-of-prompts Distillation For Vision-language Models, by Yang Chen et al.
Summary of Why Train Everything? Tint a Single Layer For Multi-task Model Merging, by Aecheon Jung et al.
Summary of Improving Generative Pre-training: An In-depth Study Of Masked Image Modeling and Denoising Models, by Hyesong Choi et al.
Summary of Spectral Enhancement and Pseudo-anchor Guidance For Infrared-visible Person Re-identification, by Yiyuan Ge et al.
Summary of Ergnn: Spectral Graph Neural Network with Explicitly-optimized Rational Graph Filters, by Guoming Li et al.
Summary of Graph Mixture Of Experts and Memory-augmented Routers For Multivariate Time Series Anomaly Detection, by Xiaoyu Huang et al.
Summary of Sketchfill: Sketch-guided Code Generation For Imputing Derived Missing Values, by Yunfan Zhang et al.
Summary of Discrete Vs. Continuous Trade-offs For Generative Models, by Jathin Korrapati et al.
Summary of Evaluating Self-supervised Learning in Medical Imaging: a Benchmark For Robustness, Generalizability, and Multi-domain Impact, by Valay Bundele et al.
Summary of Advanced Knowledge Transfer: Refined Feature Distillation For Zero-shot Quantization in Edge Computing, by Inpyo Hong et al.
Summary of Semantic Residual For Multimodal Unified Discrete Representation, by Hai Huang et al.