Paper List

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Summary of Abroca Distributions For Algorithmic Bias Assessment: Considerations Around Interpretation, by Conrad Borchers and Ryan S. Baker
Summary of Neural Window Decoder For Sc-ldpc Codes, by Dae-young Yun et al.
Summary of Tracking Progress Towards Sustainable Development Goal 6 Using Satellite Imagery, by Othmane Echchabi et al.
Summary of Addressing Bias in Recommender Systems: a Case Study on Data Debiasing Techniques in Mobile Games, by Yixiong Wang et al.
Summary of Timing Matters: Enhancing User Experience Through Temporal Prediction in Smart Homes, by Shrey Ganatra et al.
Summary of Multi-task Model Merging Via Adaptive Weight Disentanglement, by Feng Xiong et al.
Summary of The Last Mile to Supervised Performance: Semi-supervised Domain Adaptation For Semantic Segmentation, by Daniel Morales-brotons et al.
Summary of Foundation Models in Radiology: What, How, When, Why and Why Not, by Magdalini Paschali et al.
Summary of Locally Differentially Private Online Federated Learning with Correlated Noise, by Jiaojiao Zhang et al.
Summary of Cyber-attack Technique Classification Using Two-stage Trained Large Language Models, by Weiqiu You and Youngja Park
Summary of Classification Of Deceased Patients From Non-deceased Patients Using Random Forest and Support Vector Machine Classifiers, by Dheeman Saha et al.
Summary of Investigating Plausibility Of Biologically Inspired Bayesian Learning in Anns, by Ram Zaveri
Summary of Graph Max Shift: a Hill-climbing Method For Graph Clustering, by Ery Arias-castro et al.
Summary of Graph-based Biomarker Discovery and Interpretation For Alzheimer’s Disease, by Maryam Khalid et al.
Summary of Uoe: Unlearning One Expert Is Enough For Mixture-of-experts Llms, by Haomin Zhuang et al.
Summary of Stratified Non-negative Tensor Factorization, by Alexander Sietsema et al.
Summary of One-step Early Stopping Strategy Using Neural Tangent Kernel Theory and Rademacher Complexity, by Daniel Martin Xavier and Ludovic Chamoin and Jawher Jerray and Laurent Fribourg
Summary of All Seeds Are Not Equal: Enhancing Compositional Text-to-image Generation with Reliable Random Seeds, by Shuangqi Li et al.
Summary of A Lean Dataset For International Math Olympiad: Small Steps Towards Writing Math Proofs For Hard Problems, by Roozbeh Yousefzadeh and Xuenan Cao and Azim Ospanov
Summary of An Integrated Artificial Intelligence Operating System For Advanced Low-altitude Aviation Applications, by Minzhe Tan et al.
Summary of Improving Accuracy and Generalization For Efficient Visual Tracking, by Ram Zaveri and Shivang Patel and Yu Gu and Gianfranco Doretto
Summary of Swarm Intelligence-driven Client Selection For Federated Learning in Cybersecurity Applications, by Koffka Khan and Wayne Goodridge
Summary of A Comprehensive Survey Of Reinforcement Learning: From Algorithms to Practical Challenges, by Majid Ghasemi et al.
Summary of Llm-abba: Understanding Time Series Via Symbolic Approximation, by Erin Carson et al.
Summary of Isometry Pursuit, by Samson Koelle et al.
Summary of Neuroai For Ai Safety, by Patrick Mineault et al.
Summary of Challenges in Adapting Multilingual Llms to Low-resource Languages Using Lora Peft Tuning, by Omkar Khade et al.
Summary of Concentration Of Cumulative Reward in Markov Decision Processes, by Borna Sayedana et al.
Summary of On Importance Of Code-mixed Embeddings For Hate Speech Identification, by Shruti Jagdale et al.
Summary of Pruning Deep Convolutional Neural Network Using Conditional Mutual Information, by Tien Vu-van et al.
Summary of Biomolecular Analysis Of Soil Samples and Rock Imagery For Tracing Evidence Of Life Using a Mobile Robot, by Shah Md Ahasan Siddique et al.
Summary of Automated Literature Review Using Nlp Techniques and Llm-based Retrieval-augmented Generation, by Nurshat Fateh Ali et al.
Summary of Task Arithmetic Through the Lens Of One-shot Federated Learning, by Zhixu Tao et al.
Summary of Proactive Gradient Conflict Mitigation in Multi-task Learning: a Sparse Training Perspective, by Zhi Zhang et al.
Summary of Diffusion Self-distillation For Zero-shot Customized Image Generation, by Shengqu Cai and Eric Chan and Yunzhi Zhang and Leonidas Guibas and Jiajun Wu and Gordon Wetzstein
Summary of Leveraging Semi-supervised Learning to Enhance Data Mining For Image Classification Under Limited Labeled Data, by Aoran Shen et al.
Summary of Bi-ice: An Inner Interpretable Framework For Image Classification Via Bi-directional Interactions Between Concept and Input Embeddings, by Jinyung Hong et al.
Summary of Dynamic Logistic Ensembles with Recursive Probability and Automatic Subset Splitting For Enhanced Binary Classification, by Mohammad Zubair Khan and David Li
Summary of Verbalized Representation Learning For Interpretable Few-shot Generalization, by Cheng-fu Yang et al.
Summary of Random Walks with Tweedie: a Unified Framework For Diffusion Models, by Chicago Y. Park et al.
Summary of Matchdiffusion: Training-free Generation Of Match-cuts, by Alejandro Pardo et al.
Summary of Active Data Curation Effectively Distills Large-scale Multimodal Models, by Vishaal Udandarao et al.
Summary of Exponential Moving Average Of Weights in Deep Learning: Dynamics and Benefits, by Daniel Morales-brotons et al.
Summary of Large Models Enabled Ubiquitous Wireless Sensing, by Shun Hu
Summary of Dualcast: Disentangling Aperiodic Events From Traffic Series with a Dual-branch Model, by Xinyu Su et al.
Summary of Freqx: What Neural Networks Learn Is What Network Designers Say, by Zechen Liu
Summary of Mixture Of Experts in Image Classification: What’s the Sweet Spot?, by Mathurin Videau et al.
Summary of Amps: Asr with Multimodal Paraphrase Supervision, by Amruta Parulekar et al.
Summary of Preserving Deep Representations in One-shot Pruning: a Hessian-free Second-order Optimization Framework, by Ryan Lucas et al.
Summary of Xr-mbt: Multi-modal Full Body Tracking For Xr Through Self-supervision with Learned Depth Point Cloud Registration, by Denys Rozumnyi et al.
Summary of Federated Learning with Uncertainty and Personalization Via Efficient Second-order Optimization, by Shivam Pal et al.
Summary of When Does a Bridge Become An Aeroplane?, by Tina A. Dardeno et al.
Summary of Fastswitch: Optimizing Context Switching Efficiency in Fairness-aware Large Language Model Serving, by Ao Shen et al.
Summary of Streamlining Prediction in Bayesian Deep Learning, by Rui Li et al.
Summary of An End-to-end Smart Predict-then-optimize Framework For Vehicle Relocation Problems in Large-scale Vehicle Crowd Sensing, by Xinyu Wang et al.
Summary of Mm-path: Multi-modal, Multi-granularity Path Representation Learning — Extended Version, by Ronghui Xu et al.
Summary of Metric-dst: Mitigating Selection Bias Through Diversity-guided Semi-supervised Metric Learning, by Yasin I. Tepeli et al.
Summary of Continuous Autoregressive Models with Noise Augmentation Avoid Error Accumulation, by Marco Pasini et al.
Summary of Advancements in Myocardial Infarction Detection and Classification Using Wearable Devices: a Comprehensive Review, by Abhijith S et al.
Summary of What Do Physics-informed Deeponets Learn? Understanding and Improving Training For Scientific Computing Applications, by Emily Williams et al.
Summary of Isolating Authorship From Content with Semantic Embeddings and Contrastive Learning, by Javier Huertas-tato et al.
Summary of Sptte: a Spatiotemporal Probabilistic Framework For Travel Time Estimation, by Chen Xu et al.
Summary of Perturbation Ontology Based Graph Attention Networks, by Yichen Wang et al.
Summary of Large Scale Evaluation Of Deep Learning-based Explainable Solar Flare Forecasting Models with Attribution-based Proximity Analysis, by Temitope Adeyeha et al.
Summary of Oris: Online Active Learning Using Reinforcement Learning-based Inclusive Sampling For Robust Streaming Analytics System, by Rahul Pandey et al.
Summary of Minikv: Pushing the Limits Of Llm Inference Via 2-bit Layer-discriminative Kv Cache, by Akshat Sharma et al.
Summary of Aligning Knowledge Concepts to Whole Slide Images For Precise Histopathology Image Analysis, by Weiqin Zhao et al.
Summary of Derivation Of Closed Form Of Expected Improvement For Gaussian Process Trained on Log-transformed Objective, by Shuhei Watanabe
Summary of Using Machine Bias to Measure Human Bias, by Wanxue Dong et al.
Summary of Training and Evaluating Language Models with Template-based Data Generation, by Yifan Zhang
Summary of Scalable Multi-objective Reinforcement Learning with Fairness Guarantees Using Lorenz Dominance, by Dimitris Michailidis et al.
Summary of Rpee-heads: a Novel Benchmark For Pedestrian Head Detection in Crowd Videos, by Mohamad Abubaker et al.
Summary of Machine Unlearning Reveals That the Gender-based Violence Victim Condition Can Be Detected From Speech in a Speaker-agnostic Setting, by Emma Reyner-fuentes et al.
Summary of Semantic Edge Computing and Semantic Communications in 6g Networks: a Unifying Survey and Research Challenges, by Milin Zhang et al.
Summary of Learning For Long-horizon Planning Via Neuro-symbolic Abductive Imitation, by Jie-jing Shao et al.
Summary of Randomized-grid Search For Hyperparameter Tuning in Decision Tree Model to Improve Performance Of Cardiovascular Disease Classification, by Abhay Kumar Pathak et al.
Summary of Certified Training with Branch-and-bound: a Case Study on Lyapunov-stable Neural Control, by Zhouxing Shi et al.
Summary of A Gentle Push Funziona Benissimo: Making Instructed Models in Italian Via Contrastive Activation Steering, by Daniel Scalena et al.
Summary of Ikun: Initialization to Keep Snn Training and Generalization Great with Surrogate-stable Variance, by Da Chang et al.
Summary of Multimodal Integration Of Longitudinal Noninvasive Diagnostics For Survival Prediction in Immunotherapy Using Deep Learning, by Melda Yeghaian et al.
Summary of Active Partitioning: Inverting the Paradigm Of Active Learning, by Marius Tacke et al.
Summary of Transfer Learning For Deep Learning-based Prediction Of Lattice Thermal Conductivity, by L. Klochko et al.
Summary of Dynamic Retail Pricing Via Q-learning — a Reinforcement Learning Framework For Enhanced Revenue Management, by Mohit Apte et al.
Summary of Leveraging Large Language Models and Topic Modeling For Toxicity Classification, by Haniyeh Ehsani Oskouie et al.
Summary of The Context Of Crash Occurrence: a Complexity-infused Approach Integrating Semantic, Contextual, and Kinematic Features, by Meng Wang et al.
Summary of On the Erm Principle in Meta-learning, by Yannay Alon et al.
Summary of Enhancing Project Performance Forecasting Using Machine Learning Techniques, by Soheila Sadeghi
Summary of Automating Grapevine Lai Features Estimation with Uav Imagery and Machine Learning, by Muhammad Waseem Akram et al.
Summary of Neural Networks Use Distance Metrics, by Alan Oursland
Summary of Spatio-temporal Causal Learning For Streamflow Forecasting, by Shu Wan et al.
Summary of Multi-label Bayesian Active Learning with Inter-label Relationships, by Yuanyuan Qi et al.
Summary of Marvel-40m+: Multi-level Visual Elaboration For High-fidelity Text-to-3d Content Creation, by Sankalp Sinha et al.
Summary of Adversarial Training in Low-label Regimes with Margin-based Interpolation, by Tian Ye et al.
Summary of Ess-redunet: Enhancing Subspace Separability Of Redunet Via Dynamic Expansion with Bayesian Inference, by Xiaojie Yu et al.
Summary of Regularized Multi-llms Collaboration For Enhanced Score-based Causal Discovery, by Xiaoxuan Li et al.
Summary of Optimized Tradeoffs For Private Prediction with Majority Ensembling, by Shuli Jiang et al.
Summary of Improved Implicit Diffusion Model with Knowledge Distillation to Estimate the Spatial Distribution Density Of Carbon Stock in Remote Sensing Imagery, by Zhenyu Yu
Summary of Causal and Local Correlations Based Network For Multivariate Time Series Classification, by Mingsen Du et al.
Summary of Diffeomorphic Latent Neural Operators For Data-efficient Learning Of Solutions to Partial Differential Equations, by Zan Ahmad et al.
Summary of New Faithfulness-centric Interpretability Paradigms For Natural Language Processing, by Andreas Madsen