Paper List

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Summary of A Multi-faceted Evaluation Framework For Assessing Synthetic Data Generated by Large Language Models, By Yefeng Yuan et al.
Summary of A Novel A.i Enhanced Reservoir Characterization with a Combined Mixture Of Experts — Nvidia Modulus Based Physics Informed Neural Operator Forward Model, by Clement Etienam et al.
Summary of Predicting Question Quality on Stackoverflow with Neural Networks, by Mohammad Al-ramahi et al.
Summary of Generative Subspace Adversarial Active Learning For Outlier Detection in Multiple Views Of High-dimensional Data, by Jose Cribeiro-ramallo et al.
Summary of Deep Regression Representation Learning with Topology, by Shihao Zhang et al.
Summary of Dual Model Replacement:invisible Multi-target Backdoor Attack Based on Federal Learning, by Rong Wang et al.
Summary of A Survey Of Air Combat Behavior Modeling Using Machine Learning, by Patrick Ribu Gorton et al.
Summary of An Economic Solution to Copyright Challenges Of Generative Ai, by Jiachen T. Wang et al.
Summary of Qcore: Data-efficient, On-device Continual Calibration For Quantized Models — Extended Version, by David Campos et al.
Summary of Distilled Datamodel with Reverse Gradient Matching, by Jingwen Ye et al.
Summary of Ungeneralizable Examples, by Jingwen Ye et al.
Summary of Occfeat: Self-supervised Occupancy Feature Prediction For Pretraining Bev Segmentation Networks, by Sophia Sirko-galouchenko et al.
Summary of An Empirical Study Of Llama3 Quantization: From Llms to Mllms, by Wei Huang et al.
Summary of Fedtad: Topology-aware Data-free Knowledge Distillation For Subgraph Federated Learning, by Yinlin Zhu et al.
Summary of Gatedlexiconnet: a Comprehensive End-to-end Handwritten Paragraph Text Recognition System, by Lalita Kumari et al.
Summary of Holistic Safety and Responsibility Evaluations Of Advanced Ai Models, by Laura Weidinger et al.
Summary of Multi-view Disentanglement For Reinforcement Learning with Multiple Cameras, by Mhairi Dunion et al.
Summary of Towards Robust Trajectory Representations: Isolating Environmental Confounders with Causal Learning, by Kang Luo et al.
Summary of Towards Noise Contrastive Estimation with Soft Targets For Conditional Models, by Johannes Hugger et al.
Summary of Pgnaa Spectral Classification Of Aluminium and Copper Alloys with Machine Learning, by Henrik Folz et al.
Summary of Tensor-valued Time and Inference Path Optimization in Differential Equation-based Generative Modeling, by Dohoon Lee et al.
Summary of New Solutions Based on the Generalized Eigenvalue Problem For the Data Collaboration Analysis, by Yuta Kawakami et al.
Summary of Softs: Efficient Multivariate Time Series Forecasting with Series-core Fusion, by Lu Han et al.
Summary of An Adaptive Approach For Infinitely Many-armed Bandits Under Generalized Rotting Constraints, by Jung-hun Kim et al.
Summary of Filo: Zero-shot Anomaly Detection by Fine-grained Description and High-quality Localization, By Zhaopeng Gu et al.
Summary of Tf2aif: Facilitating Development and Deployment Of Accelerated Ai Models on the Cloud-edge Continuum, by Aimilios Leftheriotis et al.
Summary of Concept Arithmetics For Circumventing Concept Inhibition in Diffusion Models, by Vitali Petsiuk and Kate Saenko
Summary of Training-conditional Coverage Bounds For Uniformly Stable Learning Algorithms, by Mehrdad Pournaderi and Yu Xiang
Summary of Elucidating the Design Space Of Dataset Condensation, by Shitong Shao et al.
Summary of Interval Abstractions For Robust Counterfactual Explanations, by Junqi Jiang et al.
Summary of Adversarial Representation Engineering: a General Model Editing Framework For Large Language Models, by Yihao Zhang et al.
Summary of Encodenet: a Framework For Boosting Dnn Accuracy with Entropy-driven Generalized Converting Autoencoder, by Hasanul Mahmud and Kevin Desai and Palden Lama and Sushil K. Prasad
Summary of Automated Text Mining Of Experimental Methodologies From Biomedical Literature, by Ziqing Guo
Summary of How to Inverting the Leverage Score Distribution?, by Zhihang Li et al.
Summary of Improving Group Robustness on Spurious Correlation Requires Preciser Group Inference, by Yujin Han et al.
Summary of Fair Concurrent Training Of Multiple Models in Federated Learning, by Marie Siew et al.
Summary of Filtered Direct Preference Optimization, by Tetsuro Morimura et al.
Summary of Cola: Collaborative Adaptation with Gradient Learning, by Enmao Diao et al.
Summary of Icst-dnet: An Interpretable Causal Spatio-temporal Diffusion Network For Traffic Speed Prediction, by Yi Rong et al.
Summary of Distributional Black-box Model Inversion Attack with Multi-agent Reinforcement Learning, by Huan Bao et al.
Summary of Regional Style and Color Transfer, by Zhicheng Ding et al.
Summary of Explicit Lipschitz Value Estimation Enhances Policy Robustness Against Perturbation, by Xulin Chen et al.
Summary of Optimal Design For Human Preference Elicitation, by Subhojyoti Mukherjee et al.
Summary of Minimizing Weighted Counterfactual Regret with Optimistic Online Mirror Descent, by Hang Xu et al.
Summary of Listen Then See: Video Alignment with Speaker Attention, by Aviral Agrawal et al.
Summary of Preconditioned Neural Posterior Estimation For Likelihood-free Inference, by Xiaoyu Wang et al.
Summary of Exploring Diverse Methods in Visual Question Answering, by Panfeng Li et al.
Summary of Test-time Training on Graphs with Large Language Models (llms), by Jiaxin Zhang et al.
Summary of I2cansay:inter-class Analogical Augmentation and Intra-class Significance Analysis For Non-exemplar Online Task-free Continual Learning, by Songlin Dong et al.
Summary of Rethink Arbitrary Style Transfer with Transformer and Contrastive Learning, by Zhanjie Zhang et al.
Summary of Machine Unlearning Via Null Space Calibration, by Huiqiang Chen et al.
Summary of Marvel: Multidimensional Abstraction and Reasoning Through Visual Evaluation and Learning, by Yifan Jiang et al.
Summary of Ckgconv: General Graph Convolution with Continuous Kernels, by Liheng Ma et al.
Summary of The Branch Not Taken: Predicting Branching in Online Conversations, by Shai Meital et al.
Summary of Attack on Scene Flow Using Point Clouds, by Haniyeh Ehsani Oskouie et al.
Summary of Mixture Of Lora Experts, by Xun Wu et al.
Summary of Fermi-bose Machine Achieves Both Generalization and Adversarial Robustness, by Mingshan Xie and Yuchen Wang and Haiping Huang
Summary of Bt-gan: Generating Fair Synthetic Healthdata Via Bias-transforming Generative Adversarial Networks, by Resmi Ramachandranpillai et al.
Summary of Mean Aggregator Is More Robust Than Robust Aggregators Under Label Poisoning Attacks on Distributed Heterogeneous Data, by Jie Peng et al.
Summary of Data-independent Module-aware Pruning For Hierarchical Vision Transformers, by Yang He et al.
Summary of Distributional Principal Autoencoders, by Xinwei Shen et al.
Summary of Spgnn: Recognizing Salient Subgraph Patterns Via Enhanced Graph Convolution and Pooling, by Zehao Dong et al.
Summary of Cumulative Hazard Function Based Efficient Multivariate Temporal Point Process Learning, by Bingqing Liu
Summary of Semantic-rearrangement-based Multi-level Alignment For Domain Generalized Segmentation, by Guanlong Jiao et al.
Summary of Hyperspectral Anomaly Detection with Self-supervised Anomaly Prior, by Yidan Liu and Weiying Xie and Kai Jiang and Jiaqing Zhang and Yunsong Li and Leyuan Fang
Summary of Unibucllm: Harnessing Llms For Automated Prediction Of Item Difficulty and Response Time For Multiple-choice Questions, by Ana-cristina Rogoz et al.
Summary of Granola: Adaptive Normalization For Graph Neural Networks, by Moshe Eliasof et al.
Summary of Augmenting Safety-critical Driving Scenarios While Preserving Similarity to Expert Trajectories, by Hamidreza Mirkhani et al.
Summary of Semantically Corrected Amharic Automatic Speech Recognition, by Samuael Adnew and Paul Pu Liang
Summary of Mahasquad: Bridging Linguistic Divides in Marathi Question-answering, by Ruturaj Ghatage et al.
Summary of Dna: Differentially Private Neural Augmentation For Contact Tracing, by Rob Romijnders et al.
Summary of Transfer Learning For Molecular Property Predictions From Small Data Sets, by Thorren Kirschbaum and Annika Bande
Summary of Multiconfederated Learning: Inclusive Non-iid Data Handling with Decentralized Federated Learning, by Michael Duchesne et al.
Summary of Piper: Primitive-informed Preference-based Hierarchical Reinforcement Learning Via Hindsight Relabeling, by Utsav Singh et al.
Summary of Sinc+: Adaptive Camera-based Vitals with Unsupervised Learning Of Periodic Signals, by Jeremy Speth et al.
Summary of Real-time Safe Control Of Neural Network Dynamic Models with Sound Approximation, by Hanjiang Hu et al.
Summary of Do “english” Named Entity Recognizers Work Well on Global Englishes?, by Alexander Shan et al.
Summary of A Framework For Feasible Counterfactual Exploration Incorporating Causality, Sparsity and Density, by Kleopatra Markou et al.
Summary of Generalized Regression with Conditional Gans, by Deddy Jobson and Eddy Hudson
Summary of Calibration Error For Decision Making, by Lunjia Hu and Yifan Wu
Summary of Parameter Efficient Fine Tuning: a Comprehensive Analysis Across Applications, by Charith Chandra Sai Balne et al.
Summary of Fedtrans: Efficient Federated Learning Via Multi-model Transformation, by Yuxuan Zhu et al.
Summary of Error Analysis Of Shapley Value-based Model Explanations: An Informative Perspective, by Ningsheng Zhao et al.
Summary of Smartmem: Layout Transformation Elimination and Adaptation For Efficient Dnn Execution on Mobile, by Wei Niu et al.
Summary of Spectral Convolutional Conditional Neural Processes, by Peiman Mohseni et al.
Summary of Privacy-preserving Debiasing Using Data Augmentation and Machine Unlearning, by Zhixin Pan et al.
Summary of An Economically-consistent Discrete Choice Model with Flexible Utility Specification Based on Artificial Neural Networks, by Jose Ignacio Hernandez et al.
Summary of Model-based Counterfactual Explanations Incorporating Feature Space Attributes For Tabular Data, by Yuta Sumiya and Hayaru Shouno
Summary of On the Temperature Of Machine Learning Systems, by Dong Zhang
Summary of Trialdura: Hierarchical Attention Transformer For Interpretable Clinical Trial Duration Prediction, by Ling Yue et al.
Summary of Personalized Wireless Federated Learning For Large Language Models, by Feibo Jiang et al.
Summary of Learning in Reverse Causal Strategic Environments with Ramifications on Two Sided Markets, by Seamus Somerstep and Yuekai Sun and Ya’acov Ritov
Summary of Intelligent Agents For Auction-based Federated Learning: a Survey, by Xiaoli Tang et al.
Summary of 3d-convolution Guided Spectral-spatial Transformer For Hyperspectral Image Classification, by Shyam Varahagiri et al.
Summary of St-mamba: Spatial-temporal Selective State Space Model For Traffic Flow Prediction, by Zhiqi Shao et al.
Summary of Predicting Diabetes with Machine Learning Analysis Of Income and Health Factors, by Fariba Jafari Horestani et al.
Summary of Multi-cell Decoder and Mutual Learning For Table Structure and Character Recognition, by Takaya Kawakatsu
Summary of Stridenet: Swin Transformer For Terrain Recognition with Dynamic Roughness Extraction, by Maitreya Shelare et al.
Summary of Multi-feature Reconstruction Network Using Crossed-mask Restoration For Unsupervised Industrial Anomaly Detection, by Junpu Wang et al.
Summary of Federated Transfer Learning with Task Personalization For Condition Monitoring in Ultrasonic Metal Welding, by Ahmadreza Eslaminia et al.