Paper List

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

Summary of Multi-variable Adversarial Time-series Forecast Model, by Xiaoqiao Chen
Summary of Robust Fair Clustering with Group Membership Uncertainty Sets, by Sharmila Duppala et al.
Summary of Discret: Synthesizing Faithful Explanations For Treatment Effect Estimation, by Yinjun Wu et al.
Summary of Efficient Monte Carlo Tree Search Via On-the-fly State-conditioned Action Abstraction, by Yunhyeok Kwak et al.
Summary of Dual-perspective Cross Contrastive Learning in Graph Transformers, by Zelin Yao et al.
Summary of Arabic Handwritten Text For Person Biometric Identification: a Deep Learning Approach, by Mazen Balat et al.
Summary of Posterior Label Smoothing For Node Classification, by Jaeseung Heo et al.
Summary of A Batch Sequential Halving Algorithm Without Performance Degradation, by Sotetsu Koyamada et al.
Summary of Representation and De-interleaving Of Mixtures Of Hidden Markov Processes, by Jiadi Bao et al.
Summary of Gate: How to Keep Out Intrusive Neighbors, by Nimrah Mustafa and Rebekka Burkholz
Summary of Spafl: Communication-efficient Federated Learning with Sparse Models and Low Computational Overhead, by Minsu Kim et al.
Summary of Interpretabnet: Distilling Predictive Signals From Tabular Data by Salient Feature Interpretation, By Jacob Si et al.
Summary of Stein Random Feature Regression, by Houston Warren et al.
Summary of Dronevis: Versatile Computer Vision Library For Drones, by Ahmed Heakl et al.
Summary of Towards a Unified Framework Of Clustering-based Anomaly Detection, by Zeyu Fang et al.
Summary of Learning to Solve Multiresolution Matrix Factorization by Manifold Optimization and Evolutionary Metaheuristics, By Truong Son Hy et al.
Summary of Mix-of-granularity: Optimize the Chunking Granularity For Retrieval-augmented Generation, by Zijie Zhong et al.
Summary of Exploring the Limits Of Hierarchical World Models in Reinforcement Learning, by Robin Schiewer and Anand Subramoney and Laurenz Wiskott
Summary of Optimistic Rates For Learning From Label Proportions, by Gene Li et al.
Summary of Activation-descent Regularization For Input Optimization Of Relu Networks, by Hongzhan Yu et al.
Summary of Federated Model Heterogeneous Matryoshka Representation Learning, by Liping Yi et al.
Summary of Efficient Sign-based Optimization: Accelerating Convergence Via Variance Reduction, by Wei Jiang et al.
Summary of Diffusion-based Image Generation For In-distribution Data Augmentation in Surface Defect Detection, by Luigi Capogrosso et al.
Summary of Empirical Influence Functions to Understand the Logic Of Fine-tuning, by Jordan K. Matelsky et al.
Summary of Contrastive Learning Via Equivariant Representation, by Sifan Song et al.
Summary of Privacy Challenges in Meta-learning: An Investigation on Model-agnostic Meta-learning, by Mina Rafiei et al.
Summary of Stydesty: Min-max Stylization and Destylization For Single Domain Generalization, by Songhua Liu et al.
Summary of Non-destructive Degradation Pattern Decoupling For Ultra-early Battery Prototype Verification Using Physics-informed Machine Learning, by Shengyu Tao et al.
Summary of Cross-table Pretraining Towards a Universal Function Space For Heterogeneous Tabular Data, by Jintai Chen et al.
Summary of Phasor-driven Acceleration For Fft-based Cnns, by Eduardo Reis et al.
Summary of Neural Optimal Transport with Lagrangian Costs, by Aram-alexandre Pooladian et al.
Summary of Multi-objective Neural Architecture Search by Learning Search Space Partitions, By Yiyang Zhao et al.
Summary of Coded Computing For Resilient Distributed Computing: a Learning-theoretic Framework, by Parsa Moradi et al.
Summary of Fedast: Federated Asynchronous Simultaneous Training, by Baris Askin et al.
Summary of Case: Efficient Curricular Data Pre-training For Building Assistive Psychology Expert Models, by Sarthak Harne et al.
Summary of Combining Experimental and Historical Data For Policy Evaluation, by Ting Li et al.
Summary of Kglink: a Column Type Annotation Method That Combines Knowledge Graph and Pre-trained Language Model, by Yubo Wang et al.
Summary of A Structured Review Of Literature on Uncertainty in Machine Learning & Deep Learning, by Fahimeh Fakour et al.
Summary of Benchmarking For Deep Uplift Modeling in Online Marketing, by Dugang Liu and Xing Tang and Yang Qiao and Miao Liu and Zexu Sun and Xiuqiang He and Zhong Ming
Summary of Do’s and Don’ts: Learning Desirable Skills with Instruction Videos, by Hyunseung Kim et al.
Summary of Decoop: Robust Prompt Tuning with Out-of-distribution Detection, by Zhi Zhou et al.
Summary of Alternative Methods to Shap Derived From Properties Of Kernels: a Note on Theoretical Analysis, by Kazuhiro Hiraki et al.
Summary of Learning Causal Abstractions Of Linear Structural Causal Models, by Riccardo Massidda et al.
Summary of Stochastic Resetting Mitigates Latent Gradient Bias Of Sgd From Label Noise, by Youngkyoung Bae et al.
Summary of An Efficient Multi Quantile Regression Network with Ad Hoc Prevention Of Quantile Crossing, by Jens Decke et al.
Summary of From Structured to Unstructured:a Comparative Analysis Of Computer Vision and Graph Models in Solving Mesh-based Pdes, by Jens Decke et al.
Summary of How Random Is Random? Evaluating the Randomness and Humaness Of Llms’ Coin Flips, by Katherine Van Koevering et al.
Summary of Bootstrap3d: Improving Multi-view Diffusion Model with Synthetic Data, by Zeyi Sun et al.
Summary of Scalable Bayesian Learning with Posteriors, by Samuel Duffield et al.
Summary of Reward Machines For Deep Rl in Noisy and Uncertain Environments, by Andrew C. Li et al.
Summary of Adep: a Novel Approach Based on Discriminator-enhanced Encoder-decoder Architecture For Accurate Prediction Of Adverse Effects in Polypharmacy, by Katayoun Kobraei et al.
Summary of From Unstructured Data to In-context Learning: Exploring What Tasks Can Be Learned and When, by Kevin Christian Wibisono et al.
Summary of Training on the Edge Of Stability Is Caused by Layerwise Jacobian Alignment, By Mark Lowell and Catharine Kastner
Summary of Quanta: Efficient High-rank Fine-tuning Of Llms with Quantum-informed Tensor Adaptation, by Zhuo Chen et al.
Summary of Anomaly Detection in Dynamic Graphs: a Comprehensive Survey, by Ocheme Anthony Ekle and William Eberle
Summary of Advancing Ear Biometrics: Enhancing Accuracy and Robustness Through Deep Learning, by Youssef Mohamed et al.
Summary of Streamflow Prediction with Uncertainty Quantification For Water Management: a Constrained Reasoning and Learning Approach, by Mohammed Amine Gharsallaoui et al.
Summary of Query2cad: Generating Cad Models Using Natural Language Queries, by Akshay Badagabettu et al.
Summary of Non-federated Multi-task Split Learning For Heterogeneous Sources, by Yilin Zheng et al.
Summary of Mamba State-space Models Are Lyapunov-stable Learners, by John T. Halloran et al.
Summary of Flexible and Efficient Surrogate Gradient Modeling with Forward Gradient Injection, by Sebastian Otte
Summary of A Review Of Pulse-coupled Neural Network Applications in Computer Vision and Image Processing, by Nurul Rafi and Pablo Rivas
Summary of Learning to Stabilize Unknown Lti Systems on a Single Trajectory Under Stochastic Noise, by Ziyi Zhang et al.
Summary of Exploring Vulnerabilities and Protections in Large Language Models: a Survey, by Frank Weizhen Liu et al.
Summary of What Makes Clip More Robust to Long-tailed Pre-training Data? a Controlled Study For Transferable Insights, by Xin Wen et al.
Summary of Persian Homograph Disambiguation: Leveraging Parsbert For Enhanced Sentence Understanding with a Novel Word Disambiguation Dataset, by Seyed Moein Ayyoubzadeh et al.
Summary of Embedding-aligned Language Models, by Guy Tennenholtz et al.
Summary of Large Language Model Pruning, by Hanjuan Huang (1)(2) et al.
Summary of Amgpt: a Large Language Model For Contextual Querying in Additive Manufacturing, by Achuth Chandrasekhar et al.
Summary of Emerge: Enhancing Multimodal Electronic Health Records Predictive Modeling with Retrieval-augmented Generation, by Yinghao Zhu et al.
Summary of Stochastic Adversarial Networks For Multi-domain Text Classification, by Xu Wang and Yuan Wu
Summary of Hate Speech Detection with Generalizable Target-aware Fairness, by Tong Chen et al.
Summary of Personalized Steering Of Large Language Models: Versatile Steering Vectors Through Bi-directional Preference Optimization, by Yuanpu Cao et al.
Summary of Towards a Theory Of How the Structure Of Language Is Acquired by Deep Neural Networks, By Francesco Cagnetta et al.
Summary of Dual Process Learning: Controlling Use Of In-context Vs. In-weights Strategies with Weight Forgetting, by Suraj Anand and Michael A. Lepori and Jack Merullo and Ellie Pavlick
Summary of Toward Conversational Agents with Context and Time Sensitive Long-term Memory, by Nick Alonso et al.
Summary of Conveyor: Efficient Tool-aware Llm Serving with Tool Partial Execution, by Yechen Xu et al.
Summary of Cascade-aware Training Of Language Models, by Congchao Wang et al.
Summary of Stat: Shrinking Transformers After Training, by Megan Flynn et al.
Summary of Unlocking the Potential Of Large Language Models For Clinical Text Anonymization: a Comparative Study, by David Pissarra et al.
Summary of Confidence-aware Sub-structure Beam Search (cabs): Mitigating Hallucination in Structured Data Generation with Large Language Models, by Chengwei Wei et al.
Summary of A Novel Review Of Stability Techniques For Improved Privacy-preserving Machine Learning, by Coleman Duplessie and Aidan Gao
Summary of Arbitrary-length Generalization For Addition in a Tiny Transformer, by Alexandre Galvao Patriota
Summary of Decision Mamba: Reinforcement Learning Via Hybrid Selective Sequence Modeling, by Sili Huang et al.
Summary of Bayesian Design Principles For Offline-to-online Reinforcement Learning, by Hao Hu et al.
Summary of Early Stopping Criteria For Training Generative Adversarial Networks in Biomedical Imaging, by Muhammad Muneeb Saad et al.
Summary of Predictive Uncertainty Quantification For Bird’s Eye View Segmentation: a Benchmark and Novel Loss Function, by Linlin Yu et al.
Summary of Communication-efficient Distributed Deep Learning Via Federated Dynamic Averaging, by Michail Theologitis et al.
Summary of Hard Cases Detection in Motion Prediction by Vision-language Foundation Models, By Yi Yang et al.
Summary of Explaining Predictions by Characteristic Rules, By Amr Alkhatib et al.
Summary of G-transformer For Conditional Average Potential Outcome Estimation Over Time, by Konstantin Hess et al.
Summary of Improved Techniques For Optimization-based Jailbreaking on Large Language Models, by Xiaojun Jia et al.
Summary of Beyond Conventional Parametric Modeling: Data-driven Framework For Estimation and Prediction Of Time Activity Curves in Dynamic Pet Imaging, by Niloufar Zakariaei et al.
Summary of A-pete: Adaptive Prototype Explanations Of Tree Ensembles, by Jacek Karolczak et al.
Summary of Comparing the Information Content Of Probabilistic Representation Spaces, by Kieran A. Murphy et al.
Summary of Target Networks and Over-parameterization Stabilize Off-policy Bootstrapping with Function Approximation, by Fengdi Che et al.
Summary of An Attention-based Multi-context Convolutional Encoder-decoder Neural Network For Work Zone Traffic Impact Prediction, by Qinhua Jiang et al.
Summary of Exploratory Preference Optimization: Harnessing Implicit Q*-approximation For Sample-efficient Rlhf, by Tengyang Xie et al.
Summary of Grammar-aligned Decoding, by Kanghee Park et al.
Summary of Spectrum-aware Parameter Efficient Fine-tuning For Diffusion Models, by Xinxi Zhang et al.