Paper List

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

Summary of Synthetic Data Generation Framework, Dataset, and Efficient Deep Model For Pedestrian Intention Prediction, by Muhammad Naveed Riaz et al.
Summary of Seeing the Roads Through the Trees: a Benchmark For Modeling Spatial Dependencies with Aerial Imagery, by Caleb Robinson et al.
Summary of Deep Learning Based Cyberbullying Detection in Bangla Language, by Sristy Shidul Nath et al.
Summary of Agspnet: a Framework For Parcel-scale Crop Fine-grained Semantic Change Detection From Uav High-resolution Imagery with Agricultural Geographic Scene Constraints, by Shaochun Li et al.
Summary of Fedtabdiff: Federated Learning Of Diffusion Probabilistic Models For Synthetic Mixed-type Tabular Data Generation, by Timur Sattarov et al.
Summary of Sampling and Uniqueness Sets in Graphon Signal Processing, by Alejandro Parada-mayorga and Alejandro Ribeiro
Summary of A Study on Self-supervised Pretraining For Vision Problems in Gastrointestinal Endoscopy, by Edward Sanderson and Bogdan J. Matuszewski
Summary of Demystifying Variational Diffusion Models, by Fabio De Sousa Ribeiro et al.
Summary of Striking a Balance in Fairness For Dynamic Systems Through Reinforcement Learning, by Yaowei Hu et al.
Summary of Faster Sampling Without Isoperimetry Via Diffusion-based Monte Carlo, by Xunpeng Huang and Difan Zou and Hanze Dong and Yian Ma and Tong Zhang
Summary of Hyper-sttn: Social Group-aware Spatial-temporal Transformer Network For Human Trajectory Prediction with Hypergraph Reasoning, by Weizheng Wang et al.
Summary of An Empirical Investigation Into the Effect Of Parameter Choices in Knowledge Distillation, by Md Arafat Sultan et al.
Summary of Knowledge-informed Machine Learning For Cancer Diagnosis and Prognosis: a Review, by Lingchao Mao et al.
Summary of Mission: Impossible Language Models, by Julie Kallini et al.
Summary of Uncertainty Quantification For Probabilistic Machine Learning in Earth Observation Using Conformal Prediction, by Geethen Singh et al.
Summary of Heterogeneous Lora For Federated Fine-tuning Of On-device Foundation Models, by Yae Jee Cho and Luyang Liu and Zheng Xu and Aldi Fahrezi and Gauri Joshi
Summary of Improving Graph Convolutional Networks with Transformer Layer in Social-based Items Recommendation, by Thi Linh Hoang et al.
Summary of Batch-icl: Effective, Efficient, and Order-agnostic In-context Learning, by Kaiyi Zhang et al.
Summary of Automated Machine Learning For Positive-unlabelled Learning, by Jack D. Saunders and Alex A. Freitas
Summary of An Investigation Of Structures Responsible For Gender Bias in Bert and Distilbert, by Thibaud Leteno et al.
Summary of Personalized Reinforcement Learning with a Budget Of Policies, by Dmitry Ivanov et al.
Summary of Boosting Causal Additive Models, by Maximilian Kertel and Nadja Klein
Summary of Domain Adaptation For Time Series Transformers Using One-step Fine-tuning, by Subina Khanal et al.
Summary of Secrets Of Rlhf in Large Language Models Part Ii: Reward Modeling, by Binghai Wang et al.
Summary of Xgboost Learning Of Dynamic Wager Placement For In-play Betting on An Agent-based Model Of a Sports Betting Exchange, by Chawin Terawong and Dave Cliff
Summary of Autocompletion Of Chief Complaints in the Electronic Health Records Using Large Language Models, by K M Sajjadul Islam et al.
Summary of A Closer Look at Auroc and Auprc Under Class Imbalance, by Matthew B. A. Mcdermott (1) et al.
Summary of Pandora: a Parallel Dendrogram Construction Algorithm For Single Linkage Clustering on Gpu, by Piyush Sao et al.
Summary of Patchscopes: a Unifying Framework For Inspecting Hidden Representations Of Language Models, by Asma Ghandeharioun et al.
Summary of Palp: Prompt Aligned Personalization Of Text-to-image Models, by Moab Arar et al.
Summary of Extreme Compression Of Large Language Models Via Additive Quantization, by Vage Egiazarian et al.
Summary of Tofu: a Task Of Fictitious Unlearning For Llms, by Pratyush Maini et al.
Summary of Manipulating Feature Visualizations with Gradient Slingshots, by Dilyara Bareeva et al.
Summary of Dfu: Scale-robust Diffusion Model For Zero-shot Super-resolution Image Generation, by Alex Havrilla et al.
Summary of Image Classifier Based Generative Method For Planar Antenna Design, by Yang Zhong et al.
Summary of A Stochastic Approach to Classification Error Estimates in Convolutional Neural Networks, by Jan Peleska et al.
Summary of Fred: Towards a Full Rotation-equivariance in Aerial Image Object Detection, by Chanho Lee et al.
Summary of Goodat: Towards Test-time Graph Out-of-distribution Detection, by Luzhi Wang et al.
Summary of Crisiskan: Knowledge-infused and Explainable Multimodal Attention Network For Crisis Event Classification, by Shubham Gupta et al.
Summary of Scissorhands: Scrub Data Influence Via Connection Sensitivity in Networks, by Jing Wu and Mehrtash Harandi
Summary of An Exploratory Assessment Of Llm’s Potential Toward Flight Trajectory Reconstruction Analysis, by Qilei Zhang and John H. Mott
Summary of Semantic-preserving Feature Partitioning For Multi-view Ensemble Learning, by Mohammad Sadegh Khorshidi et al.
Summary of Learning Unsupervised Semantic Document Representation For Fine-grained Aspect-based Sentiment Analysis, by Hao-ming Fu et al.
Summary of An Experimental Evaluation Of Deep Reinforcement Learning Algorithms For Hvac Control, by Antonio Manjavacas et al.
Summary of A New Computationally Efficient Algorithm to Solve Feature Selection For Functional Data Classification in High-dimensional Spaces, by Tobia Boschi et al.
Summary of Knowledge Translation: a New Pathway For Model Compression, by Wujie Sun et al.
Summary of Discovering Low-rank Subspaces For Language-agnostic Multilingual Representations, by Zhihui Xie et al.
Summary of Graph Spatiotemporal Process For Multivariate Time Series Anomaly Detection with Missing Values, by Yu Zheng et al.
Summary of Bounds on the Price Of Feedback For Mistake-bounded Online Learning, by Jesse Geneson and Linus Tang
Summary of Implications Of Noise in Resistive Memory on Deep Neural Networks For Image Classification, by Yannick Emonds et al.
Summary of Interpretable Concept Bottlenecks to Align Reinforcement Learning Agents, by Quentin Delfosse et al.
Summary of Revisiting Silhouette Aggregation, by John Pavlopoulos et al.
Summary of Binary Linear Tree Commitment-based Ownership Protection For Distributed Machine Learning, by Tianxiu Xie and Keke Gai and Jing Yu and Liehuang Zhu
Summary of Inferring Intentions to Speak Using Accelerometer Data In-the-wild, by Litian Li et al.
Summary of Optimistic Model Rollouts For Pessimistic Offline Policy Optimization, by Yuanzhao Zhai et al.
Summary of Epilepsyllm: Domain-specific Large Language Model Fine-tuned with Epilepsy Medical Knowledge, by Xuyang Zhao and Qibin Zhao and Toshihisa Tanaka
Summary of Learning Cognitive Maps From Transformer Representations For Efficient Planning in Partially Observed Environments, by Antoine Dedieu et al.
Summary of An Attempt to Generate New Bridge Types From Latent Space Of Pixelcnn, by Hongjun Zhang
Summary of A Tree-based Varying Coefficient Model, by Henning Zakrisson and Mathias Lindholm
Summary of Raven: Rethinking Adversarial Video Generation with Efficient Tri-plane Networks, by Partha Ghosh et al.
Summary of Sea Ice Detection Using Concurrent Multispectral and Synthetic Aperture Radar Imagery, by Martin S J Rogers et al.
Summary of Wavelet-inspired Multiscale Graph Convolutional Recurrent Network For Traffic Forecasting, by Qipeng Qian et al.
Summary of Investigating Data Contamination For Pre-training Language Models, by Minhao Jiang et al.
Summary of Theoretical and Empirical Advances in Forest Pruning, by Albert Dorador
Summary of Vi-pann: Harnessing Transfer Learning and Uncertainty-aware Variational Inference For Improved Generalization in Audio Pattern Recognition, by John Fischer et al.
Summary of Brave: Byzantine-resilient and Privacy-preserving Peer-to-peer Federated Learning, by Zhangchen Xu et al.
Summary of Siamese Networks with Soft Labels For Unsupervised Lesion Detection and Patch Pretraining on Screening Mammograms, by Kevin Van Vorst and Li Shen
Summary of Innate-values-driven Reinforcement Learning For Cooperative Multi-agent Systems, by Qin Yang
Summary of An Augmented Surprise-guided Sequential Learning Framework For Predicting the Melt Pool Geometry, by Ahmed Shoyeb Raihan et al.
Summary of Fast Cerebral Blood Flow Analysis Via Extreme Learning Machine, by Xi Chen et al.
Summary of Enhancing Blood Flow Assessment in Diffuse Correlation Spectroscopy: a Transfer Learning Approach with Noise Robustness Analysis, by Xi Chen et al.
Summary of Scaling Laws For Forgetting When Fine-tuning Large Language Models, by Damjan Kalajdzievski
Summary of Nucleus Subtype Classification Using Inter-modality Learning, by Lucas W. Remedios et al.
Summary of Learning Performance-oriented Control Barrier Functions Under Complex Safety Constraints and Limited Actuation, by Lakshmideepakreddy Manda et al.
Summary of Graph Q-learning For Combinatorial Optimization, by Victoria M. Dax et al.
Summary of Quantifying Marketing Performance at Channel-partner Level by Using Marketing Mix Modeling (mmm) and Shapley Value Regression, By Sean Tang et al.
Summary of Towards Conversational Diagnostic Ai, by Tao Tu et al.
Summary of Esacl: Efficient Continual Learning Of Sparse Models, by Weijieying Ren et al.
Summary of Root Cause Analysis on Energy Efficiency with Transfer Entropy Flow, by Jian Ma
Summary of The Distributional Reward Critic Framework For Reinforcement Learning Under Perturbed Rewards, by Xi Chen et al.
Summary of Kernelized Normalizing Constant Estimation: Bridging Bayesian Quadrature and Bayesian Optimization, by Xu Cai and Jonathan Scarlett
Summary of Dynamic Indoor Fingerprinting Localization Based on Few-shot Meta-learning with Csi Images, by Jiyu Jiao et al.
Summary of Object-centric Diffusion For Efficient Video Editing, by Kumara Kahatapitiya et al.
Summary of Decoupling Decision-making in Fraud Prevention Through Classifier Calibration For Business Logic Action, by Emanuele Luzio and Moacir Antonelli Ponti and Christian Ramirez Arevalo and Luis Argerich
Summary of Reliability Analysis Of Complex Systems Using Subset Simulations with Hamiltonian Neural Networks, by Denny Thaler et al.
Summary of React: Reinforcement Learning For Controller Parametrization Using B-spline Geometries, by Thomas Rudolf et al.
Summary of Autoact: Automatic Agent Learning From Scratch For Qa Via Self-planning, by Shuofei Qiao et al.
Summary of Can Probabilistic Feedback Drive User Impacts in Online Platforms?, by Jessica Dai et al.
Summary of Arrival Time Prediction For Autonomous Shuttle Services in the Real World: Evidence From Five Cities, by Carolin Schmidt et al.
Summary of Inserf: Text-driven Generative Object Insertion in Neural 3d Scenes, by Mohamad Shahbazi et al.
Summary of Str-cert: Robustness Certification For Deep Text Recognition on Deep Learning Pipelines and Vision Transformers, by Daqian Shao et al.
Summary of Generalized Categories Discovery For Long-tailed Recognition, by Ziyun Li et al.
Summary of Imbagcd: Imbalanced Generalized Category Discovery, by Ziyun Li et al.
Summary of Developing a Resource-constraint Edgeai Model For Surface Defect Detection, by Atah Nuh Mih et al.
Summary of Wildgen: Long-horizon Trajectory Generation For Wildlife, by Ali Al-lawati et al.
Summary of Ten-guard: Tensor Decomposition For Backdoor Attack Detection in Deep Neural Networks, by Khondoker Murad Hossain et al.
Summary of Physics-informed Deep Learning to Solve Three-dimensional Terzaghi Consolidation Equation: Forward and Inverse Problems, by Biao Yuan et al.
Summary of Dimensionality-aware Outlier Detection: Theoretical and Experimental Analysis, by Alastair Anderberg et al.
Summary of Functional Graphical Models: Structure Enables Offline Data-driven Optimization, by Jakub Grudzien Kuba et al.
Summary of Colafier: Collaborative Noisy Label Purifier with Local Intrinsic Dimensionality Guidance, by Dongyu Zhang et al.