Paper List

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

Summary of Variational Deep Survival Machines: Survival Regression with Censored Outcomes, by Qinxin Wang et al.
Summary of A Survey Of Deep Long-tail Classification Advancements, by Charika De Alvis (the University Of Sydney et al.
Summary of Federated Learning with Only Positive Labels by Exploring Label Correlations, By Xuming An et al.
Summary of Dpo: Differential Reinforcement Learning with Application to Optimal Configuration Search, by Chandrajit Bajaj and Minh Nguyen
Summary of Flora: Enhancing Vision-language Models with Parameter-efficient Federated Learning, by Duy Phuong Nguyen et al.
Summary of Mdagents: An Adaptive Collaboration Of Llms For Medical Decision-making, by Yubin Kim et al.
Summary of Lossless and Near-lossless Compression For Foundation Models, by Moshik Hershcovitch et al.
Summary of Reinforcement Learning with Adaptive Regularization For Safe Control Of Critical Systems, by Haozhe Tian et al.
Summary of Core-behrt: a Carefully Optimized and Rigorously Evaluated Behrt, by Mikkel Odgaard et al.
Summary of Towards Large-scale Training Of Pathology Foundation Models, by Kaiko.ai et al.
Summary of Deep Models For Multi-view 3d Object Recognition: a Review, by Mona Alzahrani et al.
Summary of Phlp: Sole Persistent Homology For Link Prediction – Interpretable Feature Extraction, by Junwon You et al.
Summary of A Hybrid Kernel-free Boundary Integral Method with Operator Learning For Solving Parametric Partial Differential Equations in Complex Domains, by Shuo Ling et al.
Summary of How to Use and Interpret Activation Patching, by Stefan Heimersheim et al.
Summary of Efficient Transformer Encoders For Mask2former-style Models, by Manyi Yao et al.
Summary of Xft: Unlocking the Power Of Code Instruction Tuning by Simply Merging Upcycled Mixture-of-experts, By Yifeng Ding et al.
Summary of Aligning Llm Agents by Learning Latent Preference From User Edits, By Ge Gao et al.
Summary of Metric-guided Conformal Bounds For Probabilistic Image Reconstruction, by Matt Y Cheung et al.
Summary of Smpler: Taming Transformers For Monocular 3d Human Shape and Pose Estimation, by Xiangyu Xu et al.
Summary of Hierarchical Hybrid Sliced Wasserstein: a Scalable Metric For Heterogeneous Joint Distributions, by Khai Nguyen and Nhat Ho
Summary of Clustering Of Timed Sequences — Application to the Analysis Of Care Pathways, by Thomas Guyet et al.
Summary of Controltraj: Controllable Trajectory Generation with Topology-constrained Diffusion Model, by Yuanshao Zhu et al.
Summary of Advances and Open Challenges in Federated Foundation Models, by Chao Ren et al.
Summary of Feature Distribution Shift Mitigation with Contrastive Pretraining For Intrusion Detection, by Weixing Wang et al.
Summary of Gcepnet: Graph Convolution-enhanced Expectation Propagation For Massive Mimo Detection, by Qincheng Lu et al.
Summary of Driver Activity Classification Using Generalizable Representations From Vision-language Models, by Ross Greer et al.
Summary of Multistop: Solving Functional Equations with Reinforcement Learning, by Alessandro Trenta et al.
Summary of Fin-fed-od: Federated Outlier Detection on Financial Tabular Data, by Dayananda Herurkar et al.
Summary of Graph Machine Learning in the Era Of Large Language Models (llms), by Wenqi Fan et al.
Summary of Delayed Bottlenecking: Alleviating Forgetting in Pre-trained Graph Neural Networks, by Zhe Zhao et al.
Summary of Cache-aware Reinforcement Learning in Large-scale Recommender Systems, by Xiaoshuang Chen et al.
Summary of Mamba3d: Enhancing Local Features For 3d Point Cloud Analysis Via State Space Model, by Xu Han et al.
Summary of Conformal Predictive Systems Under Covariate Shift, by Jef Jonkers et al.
Summary of A Learning Paradigm For Interpretable Gradients, by Felipe Torres Figueroa et al.
Summary of Integrating Heterogeneous Gene Expression Data Through Knowledge Graphs For Improving Diabetes Prediction, by Rita T. Sousa and Heiko Paulheim
Summary of Deep Multi-view Channel-wise Spatio-temporal Network For Traffic Flow Prediction, by Hao Miao et al.
Summary of Multi-head Mixture-of-experts, by Xun Wu et al.
Summary of Formal Verification Of Graph Convolutional Networks with Uncertain Node Features and Uncertain Graph Structure, by Tobias Ladner et al.
Summary of Perturbing Attention Gives You More Bang For the Buck: Subtle Imaging Perturbations That Efficiently Fool Customized Diffusion Models, by Jingyao Xu et al.
Summary of Hyperparameter Optimization Can Even Be Harmful in Off-policy Learning and How to Deal with It, by Yuta Saito et al.
Summary of Using Arima to Predict the Expansion Of Subscriber Data Consumption, by Mike Wa Nkongolo
Summary of Compete and Compose: Learning Independent Mechanisms For Modular World Models, by Anson Lei et al.
Summary of Bias Patterns in the Application Of Llms For Clinical Decision Support: a Comprehensive Study, by Raphael Poulain et al.
Summary of Rethinking Llm Memorization Through the Lens Of Adversarial Compression, by Avi Schwarzschild and Zhili Feng and Pratyush Maini and Zachary C. Lipton and J. Zico Kolter
Summary of Automated Multi-language to English Machine Translation Using Generative Pre-trained Transformers, by Elijah Pelofske et al.
Summary of Interpretable Prediction and Feature Selection For Survival Analysis, by Mike Van Ness et al.
Summary of Deep Neural Networks For Choice Analysis: Enhancing Behavioral Regularity with Gradient Regularization, by Siqi Feng et al.
Summary of Dynamically Anchored Prompting For Task-imbalanced Continual Learning, by Chenxing Hong et al.
Summary of Gradient Guidance For Diffusion Models: An Optimization Perspective, by Yingqing Guo et al.
Summary of Novel Topological Machine Learning Methodology For Stream-of-quality Modeling in Smart Manufacturing, by Jay Lee et al.
Summary of A Customer Level Fraudulent Activity Detection Benchmark For Enhancing Machine Learning Model Research and Evaluation, by Phoebe Jing et al.
Summary of Semantic Cells: Evolutional Process to Acquire Sense Diversity Of Items, by Yukio Ohsawa et al.
Summary of Skip the Benchmark: Generating System-level High-level Synthesis Data Using Generative Machine Learning, by Yuchao Liao et al.
Summary of Retrieval Augmented Generation For Domain-specific Question Answering, by Sanat Sharma et al.
Summary of Clinicalagent: Clinical Trial Multi-agent System with Large Language Model-based Reasoning, by Ling Yue and Sixue Xing and Jintai Chen and Tianfan Fu
Summary of Sst: Multi-scale Hybrid Mamba-transformer Experts For Long-short Range Time Series Forecasting, by Xiongxiao Xu et al.
Summary of Realtcd: Temporal Causal Discovery From Interventional Data with Large Language Model, by Peiwen Li et al.
Summary of Time-aware Heterogeneous Graph Transformer with Adaptive Attention Merging For Health Event Prediction, by Shibo Li et al.
Summary of Watch Out For Your Guidance on Generation! Exploring Conditional Backdoor Attacks Against Large Language Models, by Jiaming He et al.
Summary of Revisiting Neural Networks For Continual Learning: An Architectural Perspective, by Aojun Lu et al.
Summary of Simple, Efficient and Scalable Structure-aware Adapter Boosts Protein Language Models, by Yang Tan et al.
Summary of Estimating the Distribution Of Parameters in Differential Equations with Repeated Cross-sectional Data, by Hyeontae Jo et al.
Summary of The Geometry Of the Set Of Equivalent Linear Neural Networks, by Jonathan Richard Shewchuk and Sagnik Bhattacharya
Summary of Regularized Gauss-newton For Optimizing Overparameterized Neural Networks, by Adeyemi D. Adeoye et al.
Summary of Multifidelity Surrogate Models: a New Data Fusion Perspective, by Daniel N Wilke
Summary of Graph Coloring Using Heat Diffusion, by Vivek Chaudhary
Summary of Align Your Steps: Optimizing Sampling Schedules in Diffusion Models, by Amirmojtaba Sabour et al.
Summary of Inference Of Causal Networks Using a Topological Threshold, by Filipe Barroso and Diogo Gomes and Gareth J. Baxter
Summary of Towards Smaller, Faster Decoder-only Transformers: Architectural Variants and Their Implications, by Sathya Krishnan Suresh et al.
Summary of Edge-assisted Ml-aided Uncertainty-aware Vehicle Collision Avoidance at Urban Intersections, by Dinesh Cyril Selvaraj et al.
Summary of Generalizing Multi-step Inverse Models For Representation Learning to Finite-memory Pomdps, by Lili Wu et al.
Summary of Brain-inspired Continual Learning-robust Feature Distillation and Re-consolidation For Class Incremental Learning, by Hikmat Khan et al.
Summary of Hybrid Llm: Cost-efficient and Quality-aware Query Routing, by Dujian Ding et al.
Summary of Openelm: An Efficient Language Model Family with Open Training and Inference Framework, by Sachin Mehta and Mohammad Hossein Sekhavat and Qingqing Cao and Maxwell Horton and Yanzi Jin and Chenfan Sun and Iman Mirzadeh and Mahyar Najibi and Dmitry Belenko and Peter Zatloukal and Mohammad Rastegari
Summary of Fairness Incentives in Response to Unfair Dynamic Pricing, by Jesse Thibodeau et al.
Summary of Learning Word Embedding with Better Distance Weighting and Window Size Scheduling, by Chaohao Yang and Chris Ding
Summary of Digital Twins For Forecasting and Decision Optimisation with Machine Learning: Applications in Wastewater Treatment, by Matthew Colwell et al.
Summary of Uncertainty Quantification on Graph Learning: a Survey, by Chao Chen et al.
Summary of Machine Vision-based Assessment Of Fall Color Changes and Its Relationship with Leaf Nitrogen Concentration, by Achyut Paudel et al.
Summary of First Mapping the Canopy Height Of Primeval Forests in the Tallest Tree Area Of Asia, by Guangpeng Fan et al.
Summary of Next: Teaching Large Language Models to Reason About Code Execution, by Ansong Ni et al.
Summary of Employing Layerwised Unsupervised Learning to Lessen Data and Loss Requirements in Forward-forward Algorithms, by Taewook Hwang et al.
Summary of Hoin: High-order Implicit Neural Representations, by Yang Chen et al.
Summary of Fmint: Bridging Human Designed and Data Pretrained Models For Differential Equation Foundation Model, by Zezheng Song et al.
Summary of Detecting and Mitigating Hallucination in Large Vision Language Models Via Fine-grained Ai Feedback, by Wenyi Xiao et al.
Summary of Deep Learning As Ricci Flow, by Anthony Baptista et al.
Summary of What Do Transformers Know About Government?, by Jue Hou et al.
Summary of Sparse Explanations Of Neural Networks Using Pruned Layer-wise Relevance Propagation, by Paulo Yanez Sarmiento et al.
Summary of A Bayesian Approach For Prioritising Driving Behaviour Investigations in Telematic Auto Insurance Policies, by Mark Mcleod et al.
Summary of Machine Learning Techniques For Mri Data Processing at Expanding Scale, by Taro Langner
Summary of Preference Fine-tuning Of Llms Should Leverage Suboptimal, On-policy Data, by Fahim Tajwar et al.
Summary of Paramanu-ganita: Can Small Math Language Models Rival with Large Language Models on Mathematical Reasoning?, by Mitodru Niyogi et al.
Summary of Stroobnet Optimization Via Gpu-accelerated Proximal Recurrence Strategies, by Ted Edward Holmberg et al.
Summary of Rtp-lx: Can Llms Evaluate Toxicity in Multilingual Scenarios?, by Adrian De Wynter et al.
Summary of Spacebyte: Towards Deleting Tokenization From Large Language Modeling, by Kevin Slagle
Summary of Kato: Knowledge Alignment and Transfer For Transistor Sizing Of Different Design and Technology, by Wei W. Xing et al.
Summary of Investigating Resource-efficient Neutron/gamma Classification Ml Models Targeting Efpgas, by Jyothisraj Johnson et al.
Summary of Unified Ode Analysis Of Smooth Q-learning Algorithms, by Donghwan Lee
Summary of Optimizing Contrail Detection: a Deep Learning Approach with Efficientnet-b4 Encoding, by Qunwei Lin et al.
Summary of Practical Battery Health Monitoring Using Uncertainty-aware Bayesian Neural Network, by Yunyi Zhao and Zhang Wei and Qingyu Yan and Man-fai Ng and B. Sivaneasan and Cheng Xiang