Paper List

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Summary of Kg-fit: Knowledge Graph Fine-tuning Upon Open-world Knowledge, by Pengcheng Jiang et al.
Summary of Augmented Risk Prediction For the Onset Of Alzheimer’s Disease From Electronic Health Records with Large Language Models, by Jiankun Wang et al.
Summary of Unraveling the Smoothness Properties Of Diffusion Models: a Gaussian Mixture Perspective, by Yingyu Liang et al.
Summary of Ai-generated Text Detection and Classification Based on Bert Deep Learning Algorithm, by Hao Wang et al.
Summary of Enhancing Consistency-based Image Generation Via Adversarialy-trained Classification and Energy-based Discrimination, by Shelly Golan et al.
Summary of Mindstar: Enhancing Math Reasoning in Pre-trained Llms at Inference Time, by Jikun Kang et al.
Summary of A Gpu-accelerated Bi-linear Admm Algorithm For Distributed Sparse Machine Learning, by Alireza Olama et al.
Summary of Picturing Ambiguity: a Visual Twist on the Winograd Schema Challenge, by Brendan Park et al.
Summary of Confidence Under the Hood: An Investigation Into the Confidence-probability Alignment in Large Language Models, by Abhishek Kumar et al.
Summary of Modellock: Locking Your Model with a Spell, by Yifeng Gao et al.
Summary of Generation Of Synthetic Data Using Breast Cancer Dataset and Classification with Resnet18, by Dilsat Berin Aytar and Semra Gunduc
Summary of Logah: Predicting 774-million-parameter Transformers Using Graph Hypernetworks with 1/100 Parameters, by Xinyu Zhou et al.
Summary of Comparative Analysis Of Open-source Language Models in Summarizing Medical Text Data, by Yuhao Chen et al.
Summary of Lucie: a Lightweight Uncoupled Climate Emulator with Long-term Stability and Physical Consistency For O(1000)-member Ensembles, by Haiwen Guan et al.
Summary of Active Learning For Finely-categorized Image-text Retrieval by Selecting Hard Negative Unpaired Samples, By Dae Ung Jo et al.
Summary of Time-ssm: Simplifying and Unifying State Space Models For Time Series Forecasting, by Jiaxi Hu et al.
Summary of Federated Unsupervised Domain Generalization Using Global and Local Alignment Of Gradients, by Farhad Pourpanah et al.
Summary of Efficiently Parameterized Neural Metriplectic Systems, by Anthony Gruber et al.
Summary of Slope: Double-pruned Sparse Plus Lazy Low-rank Adapter Pretraining Of Llms, by Mohammad Mozaffari et al.
Summary of A Second-order Perspective on Model Compositionality and Incremental Learning, by Angelo Porrello and Lorenzo Bonicelli and Pietro Buzzega and Monica Millunzi and Simone Calderara and Rita Cucchiara
Summary of Bold: Boolean Logic Deep Learning, by Van Minh Nguyen et al.
Summary of A Differential Equation Approach For Wasserstein Gans and Beyond, by Zachariah Malik et al.
Summary of Noisy Data Meets Privacy: Training Local Models with Post-processed Remote Queries, by Kexin Li et al.
Summary of Qsco: a Quantum Scoring Module For Open-set Supervised Anomaly Detection, by Yifeng Peng et al.
Summary of Acquiring Better Load Estimates by Combining Anomaly and Change Point Detection in Power Grid Time-series Measurements, By Roel Bouman et al.
Summary of Multi-player Approaches For Dueling Bandits, by or Raveh et al.
Summary of Diffusion-based Reinforcement Learning Via Q-weighted Variational Policy Optimization, by Shutong Ding et al.
Summary of Differentiable Cluster Graph Neural Network, by Yanfei Dong et al.
Summary of Graph Neural Pde Solvers with Conservation and Similarity-equivariance, by Masanobu Horie et al.
Summary of Diffusion-reward Adversarial Imitation Learning, by Chun-mao Lai et al.
Summary of Maintaining and Managing Road Quality:using Mlp and Dnn, by Makgotso Jacqueline Maotwana
Summary of Evolutionary Large Language Model For Automated Feature Transformation, by Nanxu Gong et al.
Summary of Learning Visual-semantic Subspace Representations For Propositional Reasoning, by Gabriel Moreira et al.
Summary of Deep Causal Generative Models with Property Control, by Qilong Zhao et al.
Summary of Glycanml: a Multi-task and Multi-structure Benchmark For Glycan Machine Learning, by Minghao Xu et al.
Summary of Local Causal Structure Learning in the Presence Of Latent Variables, by Feng Xie et al.
Summary of Negative As Positive: Enhancing Out-of-distribution Generalization For Graph Contrastive Learning, by Zixu Wang et al.
Summary of Client2vec: Improving Federated Learning by Distribution Shifts Aware Client Indexing, By Yongxin Guo et al.
Summary of Detecting Adversarial Data Using Perturbation Forgery, by Qian Wang et al.
Summary of A Transfer Learning Framework For Weak-to-strong Generalization, by Seamus Somerstep et al.
Summary of Geoadaler: Geometric Insights Into Adaptive Stochastic Gradient Descent Algorithms, by Chinedu Eleh et al.
Summary of Analytic Federated Learning, by Huiping Zhuang et al.
Summary of Usd: Unsupervised Soft Contrastive Learning For Fault Detection in Multivariate Time Series, by Hong Liu et al.
Summary of Layer-aware Analysis Of Catastrophic Overfitting: Revealing the Pseudo-robust Shortcut Dependency, by Runqi Lin et al.
Summary of Badgd: a Unified Data-centric Framework to Identify Gradient Descent Vulnerabilities, by Chi-hua Wang et al.
Summary of Accelerating Diffusion Models with Parallel Sampling: Inference at Sub-linear Time Complexity, by Haoxuan Chen et al.
Summary of Transductive Confidence Machine and Its Application to Medical Data Sets, by David Lindsay
Summary of Data Complexity Estimates For Operator Learning, by Nikola B. Kovachki and Samuel Lanthaler and Hrushikesh Mhaskar
Summary of Verified Safe Reinforcement Learning For Neural Network Dynamic Models, by Junlin Wu et al.
Summary of Does Sgd Really Happen in Tiny Subspaces?, by Minhak Song et al.
Summary of Disentangling Heterogeneous Knowledge Concept Embedding For Cognitive Diagnosis on Untested Knowledge, by Miao Zhang et al.
Summary of Pessimistic Backward Policy For Gflownets, by Hyosoon Jang et al.
Summary of Convergence Behavior Of An Adversarial Weak Supervision Method, by Steven An (1) and Sanjoy Dasgupta (1) ((1) University Of California et al.
Summary of Feature Protection For Out-of-distribution Generalization, by Lu Tan et al.
Summary of Online Resource Allocation For Edge Intelligence with Colocated Model Retraining and Inference, by Huaiguang Cai et al.
Summary of A Bi-objective Approach to Last-mile Delivery Routing Considering Driver Preferences, by Juan Pablo Mesa et al.
Summary of Explainable Molecular Property Prediction: Aligning Chemical Concepts with Predictions Via Language Models, by Zhenzhong Wang et al.
Summary of Theoretical Analysis Of Weak-to-strong Generalization, by Hunter Lang et al.
Summary of Pausing Policy Learning in Non-stationary Reinforcement Learning, by Hyunin Lee et al.
Summary of Spp: Sparsity-preserved Parameter-efficient Fine-tuning For Large Language Models, by Xudong Lu et al.
Summary of Fedsheafhn: Personalized Federated Learning on Graph-structured Data, by Wenfei Liang et al.
Summary of Incomescm: From Tabular Data Set to Time-series Simulator and Causal Estimation Benchmark, by Fredrik D. Johansson
Summary of Constrained Ensemble Exploration For Unsupervised Skill Discovery, by Chenjia Bai et al.
Summary of Certifying Adapters: Enabling and Enhancing the Certification Of Classifier Adversarial Robustness, by Jieren Deng et al.
Summary of Federated Learning For Non-factorizable Models Using Deep Generative Prior Approximations, by Conor Hassan et al.
Summary of Theoretical Study Of Conflict-avoidant Multi-objective Reinforcement Learning, by Yudan Wang et al.
Summary of Continuous Temporal Domain Generalization, by Zekun Cai et al.
Summary of From Orthogonality to Dependency: Learning Disentangled Representation For Multi-modal Time-series Sensing Signals, by Ruichu Cai et al.
Summary of Global Well-posedness and Convergence Analysis Of Score-based Generative Models Via Sharp Lipschitz Estimates, by Connor Mooney et al.
Summary of Enabling On-device Learning Via Experience Replay with Efficient Dataset Condensation, by Gelei Xu et al.
Summary of Multi-scale Quaternion Cnn and Bigru with Cross Self-attention Feature Fusion For Fault Diagnosis Of Bearing, by Huanbai Liu et al.
Summary of Snobert: a Benchmark For Clinical Notes Entity Linking in the Snomed Ct Clinical Terminology, by Mikhail Kulyabin et al.
Summary of Beyond Primal-dual Methods in Bandits with Stochastic and Adversarial Constraints, by Martino Bernasconi et al.
Summary of Method and Software Tool For Generating Artificial Databases Of Biomedical Images Based on Deep Neural Networks, by Oleh Berezsky et al.
Summary of Prompt Optimization with Ease? Efficient Ordering-aware Automated Selection Of Exemplars, by Zhaoxuan Wu et al.
Summary of Unsupervised Meta-learning Via In-context Learning, by Anna Vettoruzzo et al.
Summary of Automating the Selection Of Proxy Variables Of Unmeasured Confounders, by Feng Xie et al.
Summary of C3llm: Conditional Multimodal Content Generation Using Large Language Models, by Zixuan Wang et al.
Summary of Aigb: Generative Auto-bidding Via Conditional Diffusion Modeling, by Jiayan Guo and Yusen Huo and Zhilin Zhang and Tianyu Wang and Chuan Yu and Jian Xu and Yan Zhang and Bo Zheng
Summary of Accelerating Transformers with Spectrum-preserving Token Merging, by Hoai-chau Tran et al.
Summary of Defsent+: Improving Sentence Embeddings Of Language Models by Projecting Definition Sentences Into a Quasi-isotropic or Isotropic Vector Space Of Unlimited Dictionary Entries, By Xiaodong Liu
Summary of Mixture Of In-context Prompters For Tabular Pfns, by Derek Xu et al.
Summary of Bigger, Regularized, Optimistic: Scaling For Compute and Sample-efficient Continuous Control, by Michal Nauman et al.
Summary of A Declarative Query Language For Scientific Machine Learning, by Hasan M Jamil
Summary of Spatio-temporal Value Semantics-based Abstraction For Dense Deep Reinforcement Learning, by Jihui Nie and Dehui Du and Jiangnan Zhao
Summary of Achieving Dimension-free Communication in Federated Learning Via Zeroth-order Optimization, by Zhe Li et al.
Summary of Basis Selection: Low-rank Decomposition Of Pretrained Large Language Models For Target Applications, by Yang Li et al.
Summary of Scaling Diffusion Mamba with Bidirectional Ssms For Efficient Image and Video Generation, by Shentong Mo et al.
Summary of Risk Factor Identification in Osteoporosis Using Unsupervised Machine Learning Techniques, by Mikayla Calitis
Summary of Diffusion Bridge Implicit Models, by Kaiwen Zheng et al.
Summary of Score Distillation Via Reparametrized Ddim, by Artem Lukoianov et al.
Summary of Predicting the Impact Of Model Expansion Through the Minima Manifold: a Loss Landscape Perspective, by Pranshu Malviya et al.
Summary of Unitnorm: Rethinking Normalization For Transformers in Time Series, by Nan Huang et al.
Summary of Learning Accurate and Interpretable Decision Trees, by Maria-florina Balcan and Dravyansh Sharma
Summary of Knowledge-informed Auto-penetration Testing Based on Reinforcement Learning with Reward Machine, by Yuanliang Li and Hanzheng Dai and Jun Yan
Summary of Scaling Up the Banded Matrix Factorization Mechanism For Differentially Private Ml, by Ryan Mckenna
Summary of Dissecting the Interplay Of Attention Paths in a Statistical Mechanics Theory Of Transformers, by Lorenzo Tiberi et al.
Summary of Sf-dqn: Provable Knowledge Transfer Using Successor Feature For Deep Reinforcement Learning, by Shuai Zhang et al.
Summary of Clustering Survival Data Using a Mixture Of Non-parametric Experts, by Gabriel Buginga et al.
Summary of Transformers Represent Belief State Geometry in Their Residual Stream, by Adam S. Shai et al.