Paper List

We recommend you use the search box as this list is very long.

Summary of Contextual Bandits with Stage-wise Constraints, by Aldo Pacchiano et al.
Summary of Banglanet: Bangla Handwritten Character Recognition Using Ensembling Of Convolutional Neural Network, by Chandrika Saha et al.
Summary of Self-imagine: Effective Unimodal Reasoning with Multimodal Models Using Self-imagination, by Syeda Nahida Akter et al.
Summary of A Contrast Based Feature Selection Algorithm For High-dimensional Data Set in Machine Learning, by Chunxu Cao et al.
Summary of Feature Selection Via Maximizing Distances Between Class Conditional Distributions, by Chunxu Cao et al.
Summary of Input Convex Lipschitz Rnn: a Fast and Robust Approach For Engineering Tasks, by Zihao Wang et al.
Summary of Temporal Link Prediction Using Graph Embedding Dynamics, by Sanaz Hasanzadeh Fard et al.
Summary of Polmerlin: Self-supervised Polarimetric Complex Sar Image Despeckling with Masked Networks, by Shunya Kato et al.
Summary of Editing Arbitrary Propositions in Llms Without Subject Labels, by Itai Feigenbaum et al.
Summary of Study Features Via Exploring Distribution Structure, by Chunxu Cao et al.
Summary of Robust Semi-supervised Learning For Self-learning Open-world Classes, by Wenjuan Xi et al.
Summary of Cascaded Cross-modal Transformer For Audio-textual Classification, by Nicolae-catalin Ristea et al.
Summary of Safe Reinforcement Learning with Free-form Natural Language Constraints and Pre-trained Language Models, by Xingzhou Lou et al.
Summary of Confounded Budgeted Causal Bandits, by Fateme Jamshidi et al.
Summary of Redex: Beyond Fixed Representation Methods Via Convex Optimization, by Amit Daniely et al.
Summary of Learning Explainable and Better Performing Representations Of Pomdp Strategies, by Alexander Bork et al.
Summary of Empirical Evidence For the Fragment Level Understanding on Drug Molecular Structure Of Llms, by Xiuyuan Hu et al.
Summary of Data Vs. Model Machine Learning Fairness Testing: An Empirical Study, by Arumoy Shome and Luis Cruz and Arie Van Deursen
Summary of Go-explore For Residential Energy Management, by Junlin Lu et al.
Summary of Conformal Approach to Gaussian Process Surrogate Evaluation with Coverage Guarantees, by Edgar Jaber (edf R&d Prisme et al.
Summary of Efficient Nonparametric Tensor Decomposition For Binary and Count Data, by Zerui Tao et al.
Summary of Combining Machine Learning and Ontology: a Systematic Literature Review, by Sarah Ghidalia et al.
Summary of Improving Ocr Quality in 19th Century Historical Documents Using a Combined Machine Learning Based Approach, by David Fleischhacker et al.
Summary of Reinforcement Learning From Llm Feedback to Counteract Goal Misgeneralization, by Houda Nait El Barj et al.
Summary of A Survey on Statistical Theory Of Deep Learning: Approximation, Training Dynamics, and Generative Models, by Namjoon Suh and Guang Cheng
Summary of Probabilistic Reduced-dimensional Vector Autoregressive Modeling with Oblique Projections, by Yanfang Mo and S. Joe Qin
Summary of Exploring Compressed Image Representation As a Perceptual Proxy: a Study, by Chen-hsiu Huang and Ja-ling Wu
Summary of Use Of Prior Knowledge to Discover Causal Additive Models with Unobserved Variables and Its Application to Time Series Data, by Takashi Nicholas Maeda et al.
Summary of The Effects Of Data Imbalance Under a Federated Learning Approach For Credit Risk Forecasting, by Shuyao Zhang et al.
Summary of Imputation with Inter-series Information From Prototypes For Irregular Sampled Time Series, by Zhihao Yu et al.
Summary of Bet: Explaining Deep Reinforcement Learning Through the Error-prone Decisions, by Xiao Liu et al.
Summary of Stabilizing Sharpness-aware Minimization Through a Simple Renormalization Strategy, by Chengli Tan et al.
Summary of Efficient Frameworks For Generalized Low-rank Matrix Bandit Problems, by Yue Kang et al.
Summary of Pde Generalization Of In-context Operator Networks: a Study on 1d Scalar Nonlinear Conservation Laws, by Liu Yang et al.
Summary of Reliability and Interpretability in Science and Deep Learning, by Luigi Scorzato
Summary of Covo-mpc: Theoretical Analysis Of Sampling-based Mpc and Optimal Covariance Design, by Zeji Yi et al.
Summary of Noise-aware Training Of Neuromorphic Dynamic Device Networks, by Luca Manneschi et al.
Summary of A Rapid Review Of Clustering Algorithms, by Hui Yin et al.
Summary of Knee or Roc, by Veronica Wendt et al.
Summary of Harnessing the Power Of Beta Scoring in Deep Active Learning For Multi-label Text Classification, by Wei Tan et al.
Summary of Cross Domain Early Crop Mapping Using Cropstgan, by Yiqun Wang et al.
Summary of Formal Logic Enabled Personalized Federated Learning Through Property Inference, by Ziyan An et al.
Summary of Carspeednet: a Deep Neural Network-based Car Speed Estimation From Smartphone Accelerometer, by Barak Or
Summary of Feddrivescore: Federated Scoring Driving Behavior with a Mixture Of Metric Distributions, by Lin Lu
Summary of Temporalaugmenter: An Ensemble Recurrent Based Deep Learning Approach For Signal Classification, by Nelly Elsayed et al.
Summary of Champ: a Competition-level Dataset For Fine-grained Analyses Of Llms’ Mathematical Reasoning Capabilities, by Yujun Mao et al.
Summary of Distance-aware Attention Reshaping: Enhance Generalization Of Neural Solver For Large-scale Vehicle Routing Problems, by Yang Wang and Ya-hui Jia and Wei-neng Chen and Yi Mei
Summary of Joint Unsupervised and Supervised Training For Automatic Speech Recognition Via Bilevel Optimization, by a F M Saif et al.
Summary of Gradient Coreset For Federated Learning, by Durga Sivasubramanian et al.
Summary of An Adrc-incorporated Stochastic Gradient Descent Algorithm For Latent Factor Analysis, by Jinli Li and Ye Yuan
Summary of Edge-enabled Anomaly Detection and Information Completion For Social Network Knowledge Graphs, by Fan Lu et al.
Summary of Coin: Chance-constrained Imitation Learning For Uncertainty-aware Adaptive Resource Oversubscription Policy, by Lu Wang et al.
Summary of Dirichlet-based Prediction Calibration For Learning with Noisy Labels, by Chen-chen Zong et al.
Summary of Classification Of Volatile Organic Compounds by Differential Mobility Spectrometry Based on Continuity Of Alpha Curves, By Anton Rauhameri et al.
Summary of Tensor Graph Convolutional Network For Dynamic Graph Representation Learning, by Ling Wang et al.
Summary of Three Mechanisms Of Feature Learning in a Linear Network, by Yizhou Xu and Liu Ziyin
Summary of Exploring Adversarial Attacks Against Latent Diffusion Model From the Perspective Of Adversarial Transferability, by Junxi Chen et al.
Summary of Optimization Of Inter-group Criteria For Clustering with Minimum Size Constraints, by Eduardo S. Laber and Lucas Murtinho
Summary of Graph Language Models, by Moritz Plenz et al.
Summary of Concrete Surface Crack Detection with Convolutional-based Deep Learning Models, by Sara Shomal Zadeh et al.
Summary of Scalable and Efficient Methods For Uncertainty Estimation and Reduction in Deep Learning, by Soyed Tuhin Ahmed
Summary of Quantized Side Tuning: Fast and Memory-efficient Tuning Of Quantized Large Language Models, by Zhengxin Zhang et al.
Summary of Domain Adaptation For Sustainable Soil Management Using Causal and Contrastive Constraint Minimization, by Somya Sharma et al.
Summary of Ai and Generative Ai For Research Discovery and Summarization, by Mark Glickman and Yi Zhang
Summary of Multisiam: a Multiple Input Siamese Network For Social Media Text Classification and Duplicate Text Detection, by Sudhanshu Bhoi et al.
Summary of Make Prompts Adaptable: Bayesian Modeling For Vision-language Prompt Learning with Data-dependent Prior, by Youngjae Cho et al.
Summary of Hierarchical Knowledge Distillation on Text Graph For Data-limited Attribute Inference, by Quan Li et al.
Summary of Generative Ai Meets Semantic Communication: Evolution and Revolution Of Communication Tasks, by Eleonora Grassucci et al.
Summary of Analyzing Regional Impacts Of Climate Change Using Natural Language Processing Techniques, by Tanwi Mallick et al.
Summary of Xls-r Deep Learning Model For Multilingual Asr on Low- Resource Languages: Indonesian, Javanese, and Sundanese, by Panji Arisaputra et al.
Summary of Direct Distillation Between Different Domains, by Jialiang Tang et al.
Summary of Deep Learning with Dags, by Sourabh Balgi et al.
Summary of Health-llm: Large Language Models For Health Prediction Via Wearable Sensor Data, by Yubin Kim et al.
Summary of Multicriteria Decision Support Employing Adaptive Prediction in a Tensor-based Feature Representation, by Betania Silva Carneiro Campello et al.
Summary of An Axiomatic Approach to Model-agnostic Concept Explanations, by Zhili Feng et al.
Summary of Always-sparse Training by Growing Connections with Guided Stochastic Exploration, By Mike Heddes et al.
Summary of Analyses and Concerns in Precision Medicine: a Statistical Perspective, by Xiaofei Chen
Summary of Open Ran Lstm Traffic Prediction and Slice Management Using Deep Reinforcement Learning, by Fatemeh Lotfi et al.
Summary of Minimally Supervised Learning Using Topological Projections in Self-organizing Maps, by Zimeng Lyu et al.
Summary of Modeling Latent Selection with Structural Causal Models, by Leihao Chen et al.
Summary of Accelerated Sampling Of Rare Events Using a Neural Network Bias Potential, by Xinru Hua et al.
Summary of 3d Object Detection and High-resolution Traffic Parameters Extraction Using Low-resolution Lidar Data, by Linlin Zhang et al.
Summary of Reinforcement Learning For Scalable Train Timetable Rescheduling with Graph Representation, by Peng Yue et al.
Summary of Optimizing Feature Selection For Binary Classification with Noisy Labels: a Genetic Algorithm Approach, by Vandad Imani et al.
Summary of Treatment-aware Hyperbolic Representation Learning For Causal Effect Estimation with Social Networks, by Ziqiang Cui et al.
Summary of A General Benchmark Framework Is Dynamic Graph Neural Network Need, by Yusen Zhang
Summary of Mapping Transformer Leveraged Embeddings For Cross-lingual Document Representation, by Tsegaye Misikir Tashu et al.
Summary of Every Node Is Different: Dynamically Fusing Self-supervised Tasks For Attributed Graph Clustering, by Pengfei Zhu et al.
Summary of Identifying Policy Gradient Subspaces, by Jan Schneider et al.
Summary of Seiznet: An Ai-enabled Implantable Sensor Network System For Seizure Prediction, by Ali Saeizadeh et al.
Summary of Ccfc: Bridging Federated Clustering and Contrastive Learning, by Jie Yan et al.
Summary of Proximal Causal Inference with Text Data, by Jacob M. Chen et al.
Summary of Don’t Rank, Combine! Combining Machine Translation Hypotheses Using Quality Estimation, by Giorgos Vernikos and Andrei Popescu-belis
Summary of An Experimental Design Framework For Label-efficient Supervised Finetuning Of Large Language Models, by Gantavya Bhatt et al.
Summary of Quantum Machine Learning in the Cognitive Domain: Alzheimer’s Disease Study, by Emine Akpinar
Summary of A Closed-form Solution For Weight Optimization in Fully-connected Feed-forward Neural Networks, by Slavisa Tomic et al.
Summary of Model-free Approximate Bayesian Learning For Large-scale Conversion Funnel Optimization, by Garud Iyengar and Raghav Singal
Summary of Few-shot Detection Of Machine-generated Text Using Style Representations, by Rafael Rivera Soto et al.
Summary of Deep Manifold Graph Auto-encoder For Attributed Graph Embedding, by Bozhen Hu et al.
Summary of The Unreasonable Effectiveness Of Easy Training Data For Hard Tasks, by Peter Hase et al.