Paper List

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Summary of Reliability Estimation Of News Media Sources: Birds Of a Feather Flock Together, by Sergio Burdisso et al.
Summary of Predicting and Analyzing Pedestrian Crossing Behavior at Unsignalized Crossings, by Chi Zhang (1) et al.
Summary of Mitigating the Curse Of Dimensionality For Certified Robustness Via Dual Randomized Smoothing, by Song Xia et al.
Summary of Towards Practical Tool Usage For Continually Learning Llms, by Jerry Huang et al.
Summary of Adversarial Robustness Limits Via Scaling-law and Human-alignment Studies, by Brian R. Bartoldson et al.
Summary of Hierarchical Attention Models For Multi-relational Graphs, by Roshni G. Iyer et al.
Summary of Evaluation Framework For Feedback Generation Methods in Skeletal Movement Assessment, by Tal Hakim
Summary of Integrating Marketing Channels Into Quantile Transformation and Bayesian Optimization Of Ensemble Kernels For Sales Prediction with Gaussian Process Models, by Shahin Mirshekari et al.
Summary of Rankclip: Ranking-consistent Language-image Pretraining, by Yiming Zhang et al.
Summary of Masked and Shuffled Blind Spot Denoising For Real-world Images, by Hamadi Chihaoui and Paolo Favaro
Summary of Privacy at a Price: Exploring Its Dual Impact on Ai Fairness, by Mengmeng Yang et al.
Summary of Neuro-inspired Information-theoretic Hierarchical Perception For Multimodal Learning, by Xiongye Xiao et al.
Summary of Neural Mckean-vlasov Processes: Distributional Dependence in Diffusion Processes, by Haoming Yang et al.
Summary of Human-in-the-loop Segmentation Of Multi-species Coral Imagery, by Scarlett Raine et al.
Summary of Wasserstein Wormhole: Scalable Optimal Transport Distance with Transformers, by Doron Haviv et al.
Summary of A Review on Machine Learning Algorithms For Dust Aerosol Detection Using Satellite Data, by Nurul Rafi and Pablo Rivas
Summary of On the Optimal Regret Of Locally Private Linear Contextual Bandit, by Jiachun Li et al.
Summary of The 8th Ai City Challenge, by Shuo Wang et al.
Summary of Hybrid Fedgraph: An Efficient Hybrid Federated Learning Algorithm Using Graph Convolutional Neural Network, by Jaeyeon Jang et al.
Summary of Exploring Text-to-motion Generation with Human Preference, by Jenny Sheng et al.
Summary of Towards Greener Nights: Exploring Ai-driven Solutions For Light Pollution Management, by Paras Varshney et al.
Summary of Utility-fairness Trade-offs and How to Find Them, by Sepehr Dehdashtian et al.
Summary of Knn-clip: Retrieval Enables Training-free Segmentation on Continually Expanding Large Vocabularies, by Zhongrui Gui et al.
Summary of Intelligent Chemical Purification Technique Based on Machine Learning, by Wenchao Wu et al.
Summary of Provable Interactive Learning with Hindsight Instruction Feedback, by Dipendra Misra et al.
Summary of Tldr at Semeval-2024 Task 2: T5-generated Clinical-language Summaries For Deberta Report Analysis, by Spandan Das et al.
Summary of From Bytes to Borsch: Fine-tuning Gemma and Mistral For the Ukrainian Language Representation, by Artur Kiulian et al.
Summary of Rf-diffusion: Radio Signal Generation Via Time-frequency Diffusion, by Guoxuan Chi et al.
Summary of Mitigating Heterogeneity Among Factor Tensors Via Lie Group Manifolds For Tensor Decomposition Based Temporal Knowledge Graph Embedding, by Jiang Li and Xiangdong Su and Guanglai Gao
Summary of Transformerfam: Feedback Attention Is Working Memory, by Dongseong Hwang et al.
Summary of Coreset Selection For Object Detection, by Hojun Lee et al.
Summary of Degnn: Dual Experts Graph Neural Network Handling Both Edge and Node Feature Noise, by Tai Hasegawa et al.
Summary of Feddistill: Global Model Distillation For Local Model De-biasing in Non-iid Federated Learning, by Changlin Song et al.
Summary of Exploring and Improving Drafts in Blockwise Parallel Decoding, by Taehyeon Kim et al.
Summary of Map: Model Aggregation and Personalization in Federated Learning with Incomplete Classes, by Xin-chun Li et al.
Summary of Fault Detection in Mobile Networks Using Diffusion Models, by Mohamad Nabeel et al.
Summary of Lsrom: Learning Self-refined Organizing Map For Fast Imbalanced Streaming Data Clustering, by Yongqi Xu et al.
Summary of Generalization Error Bounds For Learning Under Censored Feedback, by Yifan Yang et al.
Summary of Knowledgeable Agents by Offline Reinforcement Learning From Large Language Model Rollouts, By Jing-cheng Pang et al.
Summary of Foundational Gpt Model For Meg, by Richard Csaky et al.
Summary of Trafficvlm: a Controllable Visual Language Model For Traffic Video Captioning, by Quang Minh Dinh et al.
Summary of Weight Copy and Low-rank Adaptation For Few-shot Distillation Of Vision Transformers, by Diana-nicoleta Grigore et al.
Summary of High Significant Fault Detection in Azure Core Workload Insights, by Pranay Lohia et al.
Summary of Fast Gradient Computation For Gromov-wasserstein Distance, by Wei Zhang et al.
Summary of Ronid: New Intent Discovery with Generated-reliable Labels and Cluster-friendly Representations, by Shun Zhang et al.
Summary of Praffl: a Preference-aware Scheme in Fair Federated Learning, by Rongguang Ye et al.
Summary of Incremental Residual Concept Bottleneck Models, by Chenming Shang et al.
Summary of Bg-yolo: a Bidirectional-guided Method For Underwater Object Detection, by Jian Zhang et al.
Summary of Stability and Generalization in Free Adversarial Training, by Xiwei Cheng et al.
Summary of Fast Fishing: Approximating Bait For Efficient and Scalable Deep Active Image Classification, by Denis Huseljic and Paul Hahn and Marek Herde and Lukas Rauch and Bernhard Sick
Summary of Intuition-aware Mixture-of-rank-1-experts For Parameter Efficient Finetuning, by Yijiang Liu et al.
Summary of Beyond Known Clusters: Probe New Prototypes For Efficient Generalized Class Discovery, by Ye Wang et al.
Summary of Mma-dfer: Multimodal Adaptation Of Unimodal Models For Dynamic Facial Expression Recognition In-the-wild, by Kateryna Chumachenko et al.
Summary of Practicaldg: Perturbation Distillation on Vision-language Models For Hybrid Domain Generalization, by Zining Chen et al.
Summary of Adapting Mental Health Prediction Tasks For Cross-lingual Learning Via Meta-training and In-context Learning with Large Language Model, by Zita Lifelo et al.
Summary of Navigating the Landscape Of Large Language Models: a Comprehensive Review and Analysis Of Paradigms and Fine-tuning Strategies, by Benjue Weng
Summary of Improving Personalisation in Valence and Arousal Prediction Using Data Augmentation, by Munachiso Nwadike et al.
Summary of Alice: Combining Feature Selection and Inter-rater Agreeability For Machine Learning Insights, by Bachana Anasashvili et al.
Summary of Curiousllm: Elevating Multi-document Question Answering with Llm-enhanced Knowledge Graph Reasoning, by Zukang Yang et al.
Summary of Probabilistic Directed Distance Fields For Ray-based Shape Representations, by Tristan Aumentado-armstrong et al.
Summary of Mixture Of Experts Soften the Curse Of Dimensionality in Operator Learning, by Anastasis Kratsios et al.
Summary of Eggs: Edge Guided Gaussian Splatting For Radiance Fields, by Yuanhao Gong
Summary of Extending Mean-field Variational Inference Via Entropic Regularization: Theory and Computation, by Bohan Wu et al.
Summary of Experimental Design For Active Transductive Inference in Large Language Models, by Subhojyoti Mukherjee et al.
Summary of Uncertainty Quantification in Detecting Choroidal Metastases on Mri Via Evolutionary Strategies, by Bala Mcrae-posani et al.
Summary of Assessing Economic Viability: a Comparative Analysis Of Total Cost Of Ownership For Domain-adapted Large Language Models Versus State-of-the-art Counterparts in Chip Design Coding Assistance, by Amit Sharma et al.
Summary of On Speculative Decoding For Multimodal Large Language Models, by Mukul Gagrani et al.
Summary of Llm In-context Recall Is Prompt Dependent, by Daniel Machlab and Rick Battle
Summary of Eiven: Efficient Implicit Attribute Value Extraction Using Multimodal Llm, by Henry Peng Zou et al.
Summary of An Evaluation Framework For Synthetic Data Generation Models, by Ioannis E. Livieris et al.
Summary of Towards Enhancing Health Coaching Dialogue in Low-resource Settings, by Yue Zhou et al.
Summary of Changeanywhere: Sample Generation For Remote Sensing Change Detection Via Semantic Latent Diffusion Model, by Kai Tang and Jin Chen
Summary of Early Detection Of Disease Outbreaks and Non-outbreaks Using Incidence Data, by Shan Gao et al.
Summary of Rethinking Low-rank Adaptation in Vision: Exploring Head-level Responsiveness Across Diverse Tasks, by Yibo Zhong et al.
Summary of Pm2: a New Prompting Multi-modal Model Paradigm For Few-shot Medical Image Classification, by Zhenwei Wang et al.
Summary of Meply: a Large-scale Dataset and Baseline Evaluations For Metastatic Perirectal Lymph Node Detection and Segmentation, by Weidong Guo et al.
Summary of Label-free Anomaly Detection in Aerial Agricultural Images with Masked Image Modeling, by Sambal Shikhar and Anupam Sobti
Summary of Amu-tuning: Effective Logit Bias For Clip-based Few-shot Learning, by Yuwei Tang et al.
Summary of Constructing and Exploring Intermediate Domains in Mixed Domain Semi-supervised Medical Image Segmentation, by Qinghe Ma et al.
Summary of Chimpvlm: Ethogram-enhanced Chimpanzee Behaviour Recognition, by Otto Brookes et al.
Summary of Understanding Multimodal Deep Neural Networks: a Concept Selection View, by Chenming Shang et al.
Summary of Mcpnet: An Interpretable Classifier Via Multi-level Concept Prototypes, by Bor-shiun Wang et al.
Summary of Concentration Properties Of Fractional Posterior in 1-bit Matrix Completion, by the Tien Mai
Summary of Computing Distances and Means on Manifolds with a Metric-constrained Eikonal Approach, by Daniel Kelshaw et al.
Summary of Training a Vision Language Model As Smartphone Assistant, by Nicolai Dorka et al.
Summary of `eyes Of a Hawk and Ears Of a Fox’: Part Prototype Network For Generalized Zero-shot Learning, by Joshua Feinglass et al.
Summary of Under Pressure: Learning-based Analog Gauge Reading in the Wild, by Maurits Reitsma et al.
Summary of Cats: Contextually-aware Thresholding For Sparsity in Large Language Models, by Donghyun Lee et al.
Summary of Llm-seg: Bridging Image Segmentation and Large Language Model Reasoning, by Junchi Wang et al.
Summary of Towards Sim-to-real Industrial Parts Classification with Synthetic Dataset, by Xiaomeng Zhu et al.
Summary of Detecting Ai-generated Images Via Clip, by A.g. Moskowitz et al.
Summary of Differentiable and Stable Long-range Tracking Of Multiple Posterior Modes, by Ali Younis et al.
Summary of Semantic Approach to Quantifying the Consistency Of Diffusion Model Image Generation, by Brinnae Bent
Summary of Expectation Alignment: Handling Reward Misspecification in the Presence Of Expectation Mismatch, by Malek Mechergui et al.
Summary of Megalodon: Efficient Llm Pretraining and Inference with Unlimited Context Length, by Xuezhe Ma et al.
Summary of Convergence Of Coordinate Ascent Variational Inference For Log-concave Measures Via Optimal Transport, by Manuel Arnese and Daniel Lacker
Summary of Leveraging Viscous Hamilton-jacobi Pdes For Uncertainty Quantification in Scientific Machine Learning, by Zongren Zou et al.
Summary of E3: Ensemble Of Expert Embedders For Adapting Synthetic Image Detectors to New Generators Using Limited Data, by Aref Azizpour et al.
Summary of Hindsight Priors For Reward Learning From Human Preferences, by Mudit Verma et al.
Summary of Single-image Driven 3d Viewpoint Training Data Augmentation For Effective Wine Label Recognition, by Yueh-cheng Huang et al.