Paper List

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

Summary of Text2timeseries: Enhancing Financial Forecasting Through Time Series Prediction Updates with Event-driven Insights From Large Language Models, by Litton Jose Kurisinkel et al.
Summary of Multi-convformer: Extending Conformer with Multiple Convolution Kernels, by Darshan Prabhu et al.
Summary of Neural Probabilistic Logic Learning For Knowledge Graph Reasoning, by Fengsong Sun et al.
Summary of Stable Heterogeneous Treatment Effect Estimation Across Out-of-distribution Populations, by Yuling Zhang et al.
Summary of Effective Heterogeneous Federated Learning Via Efficient Hypernetwork-based Weight Generation, by Yujin Shin et al.
Summary of On Generalization For Generative Flow Networks, by Anas Krichel et al.
Summary of Foundations and Frontiers Of Graph Learning Theory, by Yu Huang et al.
Summary of Stereo Risk: a Continuous Modeling Approach to Stereo Matching, by Ce Liu et al.
Summary of An Efficient Framework For Crediting Data Contributors Of Diffusion Models, by Chris Lin et al.
Summary of Reinforcement Learning For Sequence Design Leveraging Protein Language Models, by Jithendaraa Subramanian et al.
Summary of Let the Code Llm Edit Itself When You Edit the Code, by Zhenyu He et al.
Summary of Prediction Instability in Machine Learning Ensembles, by Jeremy Kedziora
Summary of Motion Meets Attention: Video Motion Prompts, by Qixiang Chen et al.
Summary of Combining Ai Control Systems and Human Decision Support Via Robustness and Criticality, by Walt Woods et al.
Summary of How Does Quantization Affect Multilingual Llms?, by Kelly Marchisio et al.
Summary of Single Character Perturbations Break Llm Alignment, by Leon Lin et al.
Summary of Revisiting Nearest Neighbor For Tabular Data: a Deep Tabular Baseline Two Decades Later, by Han-jia Ye et al.
Summary of Self-evaluation As a Defense Against Adversarial Attacks on Llms, by Hannah Brown et al.
Summary of Magnetic Hysteresis Modeling with Neural Operators, by Abhishek Chandra et al.
Summary of Disco-diff: Enhancing Continuous Diffusion Models with Discrete Latents, by Yilun Xu et al.
Summary of Universal Length Generalization with Turing Programs, by Kaiying Hou et al.
Summary of Ml Updates For Openstreetmap: Analysis Of Research Gaps and Future Directions, by Lasith Niroshan and James D. Carswell
Summary of Planetarium: a Rigorous Benchmark For Translating Text to Structured Planning Languages, by Max Zuo et al.
Summary of Efficient Training Of Language Models with Compact and Consistent Next Token Distributions, by Ashutosh Sathe et al.
Summary of Effect Of a Process Mining Based Pre-processing Step in Prediction Of the Critical Health Outcomes, by Negin Ashrafi et al.
Summary of Representation Learning with Cgan For Casual Inference, by Zhaotian Weng et al.
Summary of Convergence Of Implicit Gradient Descent For Training Two-layer Physics-informed Neural Networks, by Xianliang Xu et al.
Summary of Early-stage Anomaly Detection: a Study Of Model Performance on Complete Vs. Partial Flows, by Adrian Pekar and Richard Jozsa
Summary of Membership Inference Attacks Against Time-series Models, by Noam Koren et al.
Summary of A Self-supervised Task For Fault Detection in Satellite Multivariate Time Series, by Carlo Cena et al.
Summary of Knowledge Composition Using Task Vectors with Learned Anisotropic Scaling, by Frederic Z. Zhang et al.
Summary of Shiftaddaug: Augment Multiplication-free Tiny Neural Network with Hybrid Computation, by Yipin Guo et al.
Summary of Joint Optimization Of Resource Allocation and Data Selection For Fast and Cost-efficient Federated Edge Learning, by Yunjian Jia et al.
Summary of Gptqt: Quantize Large Language Models Twice to Push the Efficiency, by Yipin Guo et al.
Summary of The More the Merrier? Navigating Accuracy Vs. Energy Efficiency Design Trade-offs in Ensemble Learning Systems, by Rafiullah Omar et al.
Summary of Sfc: Achieve Accurate Fast Convolution Under Low-precision Arithmetic, by Liulu He et al.
Summary of Towards a Scalable Reference-free Evaluation Of Generative Models, by Azim Ospanov et al.
Summary of Semantically Rich Local Dataset Generation For Explainable Ai in Genomics, by Pedro Barbosa et al.
Summary of Lora-guard: Parameter-efficient Guardrail Adaptation For Content Moderation Of Large Language Models, by Hayder Elesedy et al.
Summary of Towards Federated Rlhf with Aggregated Client Preference For Llms, by Feijie Wu et al.
Summary of Improving Zero-shot Generalization Of Learned Prompts Via Unsupervised Knowledge Distillation, by Marco Mistretta et al.
Summary of Fairjob: a Real-world Dataset For Fairness in Online Systems, by Mariia Vladimirova et al.
Summary of Warm-up Free Policy Optimization: Improved Regret in Linear Markov Decision Processes, by Asaf Cassel and Aviv Rosenberg
Summary of Llms Plagiarize: Ensuring Responsible Sourcing Of Large Language Model Training Data Through Knowledge Graph Comparison, by Devam Mondal et al.
Summary of Uniform Transformation: Refining Latent Representation in Variational Autoencoders, by Ye Shi and C.s. George Lee
Summary of No Training, No Problem: Rethinking Classifier-free Guidance For Diffusion Models, by Seyedmorteza Sadat et al.
Summary of Accelerating Distributed Optimization: a Primal-dual Perspective on Local Steps, by Junchi Yang et al.
Summary of Llm-select: Feature Selection with Large Language Models, by Daniel P. Jeong et al.
Summary of A Simple Algorithm For Output Range Analysis For Deep Neural Networks, by Helder Rojas et al.
Summary of Advancing Compressed Video Action Recognition Through Progressive Knowledge Distillation, by Efstathia Soufleri et al.
Summary of Model and Feature Diversity For Bayesian Neural Networks in Mutual Learning, by Cuong Pham et al.
Summary of Light-weight Fine-tuning Method For Defending Adversarial Noise in Pre-trained Medical Vision-language Models, by Xu Han et al.
Summary of Curvature Clues: Decoding Deep Learning Privacy with Input Loss Curvature, by Deepak Ravikumar et al.
Summary of Differential Encoding For Improved Representation Learning Over Graphs, by Haimin Zhang et al.
Summary of Sf-gnn: Self Filter For Message Lossless Propagation in Deep Graph Neural Network, by Yushan Zhu et al.
Summary of Multi-scenario Combination Based on Multi-agent Reinforcement Learning to Optimize the Advertising Recommendation System, by Yang Zhao et al.
Summary of Large Language Models, Physics-based Modeling, Experimental Measurements: the Trinity Of Data-scarce Learning Of Polymer Properties, by Ning Liu et al.
Summary of Gradient Descent with Generalized Newton’s Method, by Zhiqi Bu et al.
Summary of Mlkd-bert: Multi-level Knowledge Distillation For Pre-trained Language Models, by Ying Zhang and Ziheng Yang and Shufan Ji
Summary of Foster Adaptivity and Balance in Learning with Noisy Labels, by Mengmeng Sheng et al.
Summary of Croppable Knowledge Graph Embedding, by Yushan Zhu et al.
Summary of Data Overfitting For On-device Super-resolution with Dynamic Algorithm and Compiler Co-design, by Gen Li et al.
Summary of Splitz: Certifiable Robustness Via Split Lipschitz Randomized Smoothing, by Meiyu Zhong et al.
Summary of Evaluating the Robustness Of Adverse Drug Event Classification Models Using Templates, by Dorothea Macphail et al.
Summary of Beyond Full Poisoning: Effective Availability Attacks with Partial Perturbation, by Yu Zhe et al.
Summary of Pwm: Policy Learning with Multi-task World Models, by Ignat Georgiev et al.
Summary of Scalable Multi-output Gaussian Processes with Stochastic Variational Inference, by Xiaoyu Jiang et al.
Summary of Neurocache: Efficient Vector Retrieval For Long-range Language Modeling, by Ali Safaya et al.
Summary of Rankrag: Unifying Context Ranking with Retrieval-augmented Generation in Llms, by Yue Yu et al.
Summary of Magic Insert: Style-aware Drag-and-drop, by Nataniel Ruiz et al.
Summary of Reducing False Discoveries in Statistically-significant Regional-colocation Mining: a Summary Of Results, by Subhankar Ghosh et al.
Summary of Minference 1.0: Accelerating Pre-filling For Long-context Llms Via Dynamic Sparse Attention, by Huiqiang Jiang et al.
Summary of Data-driven Power Flow Linearization: Theory, by Mengshuo Jia et al.
Summary of Analytical Solution Of a Three-layer Network with a Matrix Exponential Activation Function, by Kuo Gai et al.
Summary of Rlhf Can Speak Many Languages: Unlocking Multilingual Preference Optimization For Llms, by John Dang et al.
Summary of Towards the Next Frontier in Speech Representation Learning Using Disentanglement, by Varun Krishna and Sriram Ganapathy
Summary of Domain Generalizable Knowledge Tracing Via Concept Aggregation and Relation-based Attention, by Yuquan Xie et al.
Summary of Meta 3d Gen, by Raphael Bensadoun et al.
Summary of D-rax: Domain-specific Radiologic Assistant Leveraging Multi-modal Data and Expert Model Predictions, by Hareem Nisar et al.
Summary of Linear Submodular Maximization with Bandit Feedback, by Wenjing Chen et al.
Summary of Learning Graph Structures and Uncertainty For Accurate and Calibrated Time-series Forecasting, by Harshavardhan Kamarthi et al.
Summary of Towards Federated Learning with On-device Training and Communication in 8-bit Floating Point, by Bokun Wang and Axel Berg and Durmus Alp Emre Acar and Chuteng Zhou
Summary of Large Scale Hierarchical Industrial Demand Time-series Forecasting Incorporating Sparsity, by Harshavardhan Kamarthi et al.
Summary of Malt Powers Up Adversarial Attacks, by Odelia Melamed et al.
Summary of Freecg: Free the Design Space Of Clebsch-gordan Transform For Machine Learning Force Fields, by Shihao Shao et al.
Summary of Siamtst: a Novel Representation Learning Framework For Enhanced Multivariate Time Series Forecasting Applied to Telco Networks, by Simen Kristoffersen et al.
Summary of Drugclip: Contrastive Drug-disease Interaction For Drug Repurposing, by Yingzhou Lu et al.
Summary of Improving Explainability Of Softmax Classifiers Using a Prototype-based Joint Embedding Method, by Hilarie Sit et al.
Summary of How to Boost Any Loss Function, by Richard Nock and Yishay Mansour
Summary of Semantically Guided Representation Learning For Action Anticipation, by Anxhelo Diko et al.
Summary of Stochastic Differential Equations Models For Least-squares Stochastic Gradient Descent, by Adrien Schertzer and Loucas Pillaud-vivien
Summary of Qsync: Quantization-minimized Synchronous Distributed Training Across Hybrid Devices, by Juntao Zhao et al.
Summary of Calico: Confident Active Learning with Integrated Calibration, by Lorenzo S. Querol et al.
Summary of Optimizing Age Of Information in Vehicular Edge Computing with Federated Graph Neural Network Multi-agent Reinforcement Learning, by Wenhua Wang et al.
Summary of Two-step Q-learning, by Antony Vijesh et al.
Summary of Agreement-based Cascading For Efficient Inference, by Steven Kolawole et al.
Summary of Light-slam: a Robust Deep-learning Visual Slam System Based on Lightglue Under Challenging Lighting Conditions, by Zhiqi Zhao et al.
Summary of Safari:adaptive Sequence Transformer For Weakly Supervised Referring Expression Segmentation, by Sayan Nag et al.
Summary of Ceb: Compositional Evaluation Benchmark For Fairness in Large Language Models, by Song Wang et al.
Summary of Meta 3d Texturegen: Fast and Consistent Texture Generation For 3d Objects, by Raphael Bensadoun et al.