Paper List

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Summary of Mergenet: Knowledge Migration Across Heterogeneous Models, Tasks, and Modalities, by Kunxi Li et al.
Summary of Hyperspectral Anomaly Detection with Self-supervised Anomaly Prior, by Yidan Liu and Weiying Xie and Kai Jiang and Jiaqing Zhang and Yunsong Li and Leyuan Fang
Summary of Unibucllm: Harnessing Llms For Automated Prediction Of Item Difficulty and Response Time For Multiple-choice Questions, by Ana-cristina Rogoz et al.
Summary of Goal Exploration Via Adaptive Skill Distribution For Goal-conditioned Reinforcement Learning, by Lisheng Wu et al.
Summary of Towards Robust Ferrous Scrap Material Classification with Deep Learning and Conformal Prediction, by Paulo Henrique Dos Santos et al.
Summary of Groma: Localized Visual Tokenization For Grounding Multimodal Large Language Models, by Chuofan Ma et al.
Summary of Stronger Random Baselines For In-context Learning, by Gregory Yauney and David Mimno
Summary of Optimizing Calibration by Gaining Aware Of Prediction Correctness, By Yuchi Liu et al.
Summary of Analysis Of Classifier-free Guidance Weight Schedulers, by Xi Wang et al.
Summary of Data Alignment For Zero-shot Concept Generation in Dermatology Ai, by Soham Gadgil et al.
Summary of Variational Bayesian Optimal Experimental Design with Normalizing Flows, by Jiayuan Dong et al.
Summary of Towards Efficient Resume Understanding: a Multi-granularity Multi-modal Pre-training Approach, by Feihu Jiang et al.
Summary of Improving the Capabilities Of Large Language Model Based Marketing Analytics Copilots with Semantic Search and Fine-tuning, by Yilin Gao et al.
Summary of Relational Graph Convolutional Networks For Sentiment Analysis, by Asal Khosravi et al.
Summary of Empowering Interdisciplinary Research with Bert-based Models: An Approach Through Scibert-cnn with Topic Modeling, by Darya Likhareva et al.
Summary of Sure: Summarizing Retrievals Using Answer Candidates For Open-domain Qa Of Llms, by Jaehyung Kim et al.
Summary of Efficient Contextual Llm Cascades Through Budget-constrained Policy Learning, by Xuechen Zhang et al.
Summary of Demystifying Legalese: An Automated Approach For Summarizing and Analyzing Overlaps in Privacy Policies and Terms Of Service, by Shikha Soneji et al.
Summary of Explainable Ai For Fair Sepsis Mortality Predictive Model, by Chia-hsuan Chang and Xiaoyang Wang and Christopher C. Yang
Summary of Multiclass Roc, by Liang Wang et al.
Summary of Equivariant Imaging For Self-supervised Hyperspectral Image Inpainting, by Shuo Li et al.
Summary of Transformer Based Planning in the Observation Space with Applications to Trick Taking Card Games, by Douglas Rebstock et al.
Summary of Spectral Convolutional Conditional Neural Processes, by Peiman Mohseni et al.
Summary of Enhancing Counterfactual Explanation Search with Diffusion Distance and Directional Coherence, by Marharyta Domnich et al.
Summary of Coin: Counterfactual Inpainting For Weakly Supervised Semantic Segmentation For Medical Images, by Dmytro Shvetsov et al.
Summary of Ecor: Explainable Clip For Object Recognition, by Ali Rasekh et al.
Summary of Explainable Deepfake Video Detection Using Convolutional Neural Network and Capsulenet, by Gazi Hasin Ishrak et al.
Summary of Towards Logically Consistent Language Models Via Probabilistic Reasoning, by Diego Calanzone et al.
Summary of Korea-sfl: Knowledge Replay-based Split Federated Learning Against Catastrophic Forgetting, by Zeke Xia and Ming Hu and Dengke Yan and Ruixuan Liu and Anran Li and Xiaofei Xie and Mingsong Chen
Summary of Cabafl: Asynchronous Federated Learning Via Hierarchical Cache and Feature Balance, by Zeke Xia and Ming Hu and Dengke Yan and Xiaofei Xie and Tianlin Li and Anran Li and Junlong Zhou and Mingsong Chen
Summary of Language-driven Active Learning For Diverse Open-set 3d Object Detection, by Ross Greer et al.
Summary of A Guide to Feature Importance Methods For Scientific Inference, by Fiona Katharina Ewald et al.
Summary of A Large-scale Medical Visual Task Adaptation Benchmark, by Shentong Mo et al.
Summary of Mcm: Multi-condition Motion Synthesis Framework, by Zeyu Ling et al.
Summary of Learn2talk: 3d Talking Face Learns From 2d Talking Face, by Yixiang Zhuang et al.
Summary of Zero-shot Medical Phrase Grounding with Off-the-shelf Diffusion Models, by Konstantinos Vilouras et al.
Summary of Robust Clip-based Detector For Exposing Diffusion Model-generated Images, by Santosh et al.
Summary of R3l: Relative Representations For Reinforcement Learning, by Antonio Pio Ricciardi et al.
Summary of Is Retain Set All You Need in Machine Unlearning? Restoring Performance Of Unlearned Models with Out-of-distribution Images, by Jacopo Bonato et al.
Summary of Probabilistic Numeric Smc Sampling For Bayesian Nonlinear System Identification in Continuous Time, by Joe D. Longbottom et al.
Summary of Neural Flow Diffusion Models: Learnable Forward Process For Improved Diffusion Modelling, by Grigory Bartosh et al.
Summary of Scalable Data Assimilation with Message Passing, by Oscar Key et al.
Summary of Towards Reliable Latent Knowledge Estimation in Llms: Zero-prompt Many-shot Based Factual Knowledge Extraction, by Qinyuan Wu et al.
Summary of Sophon: Non-fine-tunable Learning to Restrain Task Transferability For Pre-trained Models, by Jiangyi Deng (1) et al.
Summary of Improving Chinese Character Representation with Formation Tree, by Yang Hong et al.
Summary of Dynamic Temperature Knowledge Distillation, by Yukang Wei et al.
Summary of Fedmes: Personalized Federated Continual Learning Leveraging Local Memory, by Jin Xie et al.
Summary of Utrand: Unsupervised Anomaly Detection in Traffic Trajectories, by Giacomo D’amicantonio et al.
Summary of Graph Convolutional Network For Semi-supervised Node Classification with Subgraph Sketching, by Zibin Huang et al.
Summary of Improving Prediction Accuracy Of Semantic Segmentation Methods Using Convolutional Autoencoder Based Pre-processing Layers, by Hisashi Shimodaira
Summary of Generalized Few-shot Meets Remote Sensing: Discovering Novel Classes in Land Cover Mapping Via Hybrid Semantic Segmentation Framework, by Zhuohong Li et al.
Summary of Pate-triplegan: Privacy-preserving Image Synthesis with Gaussian Differential Privacy, by Zepeng Jiang et al.
Summary of Recurrent Neural Networks For Modelling Gross Primary Production, by David Montero et al.
Summary of Adaptive Regularization Of Representation Rank As An Implicit Constraint Of Bellman Equation, by Qiang He et al.
Summary of Decoupleq: Towards 2-bit Post-training Uniform Quantization Via Decoupling Parameters Into Integer and Floating Points, by Yi Guo et al.
Summary of Camera Agnostic Two-head Network For Ego-lane Inference, by Chaehyeon Song et al.
Summary of Continual Learning on a Diet: Learning From Sparsely Labeled Streams Under Constrained Computation, by Wenxuan Zhang et al.
Summary of Contrastive Gaussian Clustering: Weakly Supervised 3d Scene Segmentation, by Myrna C. Silva et al.
Summary of Efficient Learning Of Fuzzy Logic Systems For Large-scale Data Using Deep Learning, by Ata Koklu et al.
Summary of Zadeh’s Type-2 Fuzzy Logic Systems: Precision and High-quality Prediction Intervals, by Yusuf Guven et al.
Summary of Textsquare: Scaling Up Text-centric Visual Instruction Tuning, by Jingqun Tang et al.
Summary of Enhancing Interval Type-2 Fuzzy Logic Systems: Learning For Precision and Prediction Intervals, by Ata Koklu et al.
Summary of Generative Modelling with High-order Langevin Dynamics, by Ziqiang Shi and Rujie Liu
Summary of Beyond Development: Challenges in Deploying Machine Learning Models For Structural Engineering Applications, by Mohsen Zaker Esteghamati et al.
Summary of Multi-view Subgraph Neural Networks: Self-supervised Learning with Scarce Labeled Data, by Zhenzhong Wang et al.
Summary of On the Use Of Adversarial Validation For Quantifying Dissimilarity in Geospatial Machine Learning Prediction, by Yanwen Wang et al.
Summary of Itbls: a Dataset Of Interactive Conversations Over Tabular Information, by Anirudh Sundar et al.
Summary of Parameter Efficient Diverse Paraphrase Generation Using Sequence-level Knowledge Distillation, by Lasal Jayawardena and Prasan Yapa
Summary of Cross-modal Adapter: Parameter-efficient Transfer Learning Approach For Vision-language Models, by Juncheng Yang et al.
Summary of The Phase Diagram Of Kernel Interpolation in Large Dimensions, by Haobo Zhang et al.
Summary of Continuous-time Risk-sensitive Reinforcement Learning Via Quadratic Variation Penalty, by Yanwei Jia
Summary of Qute: Quantifying Uncertainty in Tinyml with Early-exit-assisted Ensembles For Model-monitoring, by Nikhil P Ghanathe and Steven J E Wilton
Summary of A Visualization Method For Data Domain Changes in Cnn Networks and the Optimization Method For Selecting Thresholds in Classification Tasks, by Minzhe Huang et al.
Summary of A Fourier Approach to the Parameter Estimation Problem For One-dimensional Gaussian Mixture Models, by Xinyu Liu et al.
Summary of Sa-attack: Speed-adaptive Stealthy Adversarial Attack on Trajectory Prediction, by Huilin Yin et al.
Summary of Cori: Cjkv Benchmark with Romanization Integration — a Step Towards Cross-lingual Transfer Beyond Textual Scripts, by Hoang H. Nguyen et al.
Summary of End-to-end Verifiable Decentralized Federated Learning, by Chaehyeon Lee et al.
Summary of Transformer-based Classification Outcome Prediction For Multimodal Stroke Treatment, by Danqing Ma et al.
Summary of Aed-pada:improving Generalizability Of Adversarial Example Detection Via Principal Adversarial Domain Adaptation, by Heqi Peng et al.
Summary of Pre-trained Vision-language Models Learn Discoverable Visual Concepts, by Yuan Zang et al.
Summary of Data-incremental Continual Offline Reinforcement Learning, by Sibo Gai and Donglin Wang
Summary of Sample-efficient Learning Of Infinite-horizon Average-reward Mdps with General Function Approximation, by Jianliang He et al.
Summary of Detecting Out-of-distribution Earth Observation Images with Diffusion Models, by Georges Le Bellier (cedric – Vertigo et al.
Summary of Epic: Effective Prompting For Imbalanced-class Data Synthesis in Tabular Data Classification Via Large Language Models, by Jinhee Kim et al.
Summary of Lowering Pytorch’s Memory Consumption For Selective Differentiation, by Samarth Bhatia et al.
Summary of Benchmarking Changepoint Detection Algorithms on Cardiac Time Series, by Ayse Cakmak et al.
Summary of Tv100: a Tv Series Dataset That Pre-trained Clip Has Not Seen, by Da-wei Zhou et al.
Summary of Adaptive Catalyst Discovery Using Multicriteria Bayesian Optimization with Representation Learning, by Jie Chen et al.
Summary of Towards Multi-modal Transformers in Federated Learning, by Guangyu Sun et al.
Summary of Enhancing Ai Diagnostics: Autonomous Lesion Masking Via Semi-supervised Deep Learning, by Ting-ruen Wei et al.
Summary of Learning a Stable, Safe, Distributed Feedback Controller For a Heterogeneous Platoon Of Autonomous Vehicles, by Michael H. Shaham and Taskin Padir
Summary of A New Reliable & Parsimonious Learning Strategy Comprising Two Layers Of Gaussian Processes, to Address Inhomogeneous Empirical Correlation Structures, by Gargi Roy et al.
Summary of Understanding Optimal Feature Transfer Via a Fine-grained Bias-variance Analysis, by Yufan Li et al.
Summary of A Configurable Pythonic Data Center Model For Sustainable Cooling and Ml Integration, by Avisek Naug et al.
Summary of Generalizing Machine Learning Evaluation Through the Integration Of Shannon Entropy and Rough Set Theory, by Olga Cherednichenko et al.
Summary of Neural Methods For Amortized Inference, by Andrew Zammit-mangion et al.
Summary of Neural Active Learning Beyond Bandits, by Yikun Ban et al.
Summary of Doughnet: a Visual Predictive Model For Topological Manipulation Of Deformable Objects, by Dominik Bauer et al.
Summary of Trajdeleter: Enabling Trajectory Forgetting in Offline Reinforcement Learning Agents, by Chen Gong et al.
Summary of Adaptive Memory Replay For Continual Learning, by James Seale Smith et al.