Paper List

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Summary of Pmlbmini: a Tabular Classification Benchmark Suite For Data-scarce Applications, by Ricardo Knauer et al.
Summary of Enhancing Fine-grained Visual Recognition in the Low-data Regime Through Feature Magnitude Regularization, by Avraham Chapman et al.
Summary of Classifier-free Diffusion-based Weakly-supervised Approach For Health Indicator Derivation in Rotating Machines: Advancing Early Fault Detection and Condition Monitoring, by Wenyang Hu et al.
Summary of Patternpaint: Practical Layout Pattern Generation Using Diffusion-based Inpainting, by Guanglei Zhou et al.
Summary of Correlating Time Series with Interpretable Convolutional Kernels, by Xinyu Chen et al.
Summary of Chess: Optimizing Llm Inference Via Channel-wise Thresholding and Selective Sparsification, by Junhui He et al.
Summary of Debiasing Graph Representation Learning Based on Information Bottleneck, by Ziyi Zhang and Mingxuan Ouyang et al.
Summary of Explanation Space: a New Perspective Into Time Series Interpretability, by Shahbaz Rezaei and Xin Liu
Summary of Dataset Distillation From First Principles: Integrating Core Information Extraction and Purposeful Learning, by Vyacheslav Kungurtsev et al.
Summary of Imitating Language Via Scalable Inverse Reinforcement Learning, by Markus Wulfmeier et al.
Summary of Active Symbolic Discovery Of Ordinary Differential Equations Via Phase Portrait Sketching, by Nan Jiang et al.
Summary of Erasure Coded Neural Network Inference Via Fisher Averaging, by Divyansh Jhunjhunwala et al.
Summary of Enhancing Sample Efficiency and Exploration in Reinforcement Learning Through the Integration Of Diffusion Models and Proximal Policy Optimization, by Gao Tianci et al.
Summary of Self-directed Learning Of Convex Labelings on Graphs, by Georgy Sokolov et al.
Summary of Achieving Byzantine-resilient Federated Learning Via Layer-adaptive Sparsified Model Aggregation, by Jiahao Xu et al.
Summary of Landscape-aware Automated Algorithm Configuration Using Multi-output Mixed Regression and Classification, by Fu Xing Long et al.
Summary of Sync From the Sea: Retrieving Alignable Videos From Large-scale Datasets, by Ishan Rajendrakumar Dave et al.
Summary of Real-time Recurrent Learning Using Trace Units in Reinforcement Learning, by Esraa Elelimy et al.
Summary of Last-iterate Convergence Of Payoff-based Independent Learning in Zero-sum Stochastic Games, by Zaiwei Chen et al.
Summary of Finepseudo: Improving Pseudo-labelling Through Temporal-alignablity For Semi-supervised Fine-grained Action Recognition, by Ishan Rajendrakumar Dave et al.
Summary of Compatible Gradient Approximations For Actor-critic Algorithms, by Baturay Saglam and Dionysis Kalogerias
Summary of Masked Mixers For Language Generation and Retrieval, by Benjamin L. Badger
Summary of A Practical Generalization Metric For Deep Networks Benchmarking, by Mengqing Huang et al.
Summary of Sood-imagenet: a Large-scale Dataset For Semantic Out-of-distribution Image Classification and Semantic Segmentation, by Alberto Bacchin et al.
Summary of Learning Robust Representations For Communications Over Noisy Channels, by Sudharsan Senthil et al.
Summary of Diffusion-driven Data Replay: a Novel Approach to Combat Forgetting in Federated Class Continual Learning, by Jinglin Liang et al.
Summary of Generating Synthetic Satellite Imagery For Rare Objects: An Empirical Comparison Of Models and Metrics, by Tuong Vy Nguyen et al.
Summary of Understanding Multimodal Hallucination with Parameter-free Representation Alignment, by Yueqian Wang et al.
Summary of Forecasting Infectious Disease Prevalence with Associated Uncertainty Using Neural Networks, by Michael Morris
Summary of Pacsbo: Probably Approximately Correct Safe Bayesian Optimization, by Abdullah Tokmak et al.
Summary of Logit Scaling For Out-of-distribution Detection, by Andrija Djurisic et al.
Summary of Supervised Pattern Recognition Involving Skewed Feature Densities, by Alexandre Benatti et al.
Summary of Towards General Industrial Intelligence: a Survey Of Continual Large Models in Industrial Iot, by Jiao Chen et al.
Summary of A Multilingual Training Strategy For Low Resource Text to Speech, by Asma Amalas et al.
Summary of Prompt Compression with Context-aware Sentence Encoding For Fast and Improved Llm Inference, by Barys Liskavets et al.
Summary of Revisiting Safe Exploration in Safe Reinforcement Learning, by David Eckel et al.
Summary of Adversarial Pruning: a Survey and Benchmark Of Pruning Methods For Adversarial Robustness, by Giorgio Piras et al.
Summary of Gas: Generative Activation-aided Asynchronous Split Federated Learning, by Jiarong Yang and Yuan Liu
Summary of One-index Vector Quantization Based Adversarial Attack on Image Classification, by Haiju Fan et al.
Summary of Representing Neural Network Layers As Linear Operations Via Koopman Operator Theory, by Nishant Suresh Aswani et al.
Summary of Disentangling Mean Embeddings For Better Diagnostics Of Image Generators, by Sebastian G. Gruber et al.
Summary of Logex: Improved Tail Detection Of Extremely Rare Histopathology Classes Via Guided Diffusion, by Maximilian Mueller and Matthias Hein
Summary of Assessing the Impact Of Image Dataset Features on Privacy-preserving Machine Learning, by Lucas Lange and Maurice-maximilian Heykeroth and Erhard Rahm
Summary of Report Cards: Qualitative Evaluation Of Language Models Using Natural Language Summaries, by Blair Yang et al.
Summary of Federated Aggregation Of Mallows Rankings: a Comparative Analysis Of Borda and Lehmer Coding, by Jin Sima et al.
Summary of Harnessing the Power Of Semi-structured Knowledge and Llms with Triplet-based Prefiltering For Question Answering, by Derian Boer and Fabian Koch and Stefan Kramer
Summary of Beyond Parameter Count: Implicit Bias in Soft Mixture Of Experts, by Youngseog Chung et al.
Summary of Compressing Vae-based Out-of-distribution Detectors For Embedded Deployment, by Aditya Bansal et al.
Summary of Toolace: Winning the Points Of Llm Function Calling, by Weiwen Liu et al.
Summary of Improving Adaptivity Via Over-parameterization in Sequence Models, by Yicheng Li et al.
Summary of Ensloss: Stochastic Calibrated Loss Ensembles For Preventing Overfitting in Classification, by Ben Dai
Summary of On the Optimal Approximation Of Sobolev and Besov Functions Using Deep Relu Neural Networks, by Yunfei Yang
Summary of Regret Analysis For Randomized Gaussian Process Upper Confidence Bound, by Shion Takeno et al.
Summary of Physics-informed Deeponet with Stiffness-based Loss Functions For Structural Response Prediction, by Bilal Ahmed et al.
Summary of Dnn-gditd: Out-of-distribution Detection Via Deep Neural Network Based Gaussian Descriptor For Imbalanced Tabular Data, by Priyanka Chudasama et al.
Summary of Variation in Prediction Accuracy Due to Randomness in Data Division and Fair Evaluation Using Interval Estimation, by Isao Goto
Summary of Unleashing the Power Of Task-specific Directions in Parameter Efficient Fine-tuning, by Chongjie Si et al.
Summary of Defending Against Model Inversion Attacks Via Random Erasing, by Viet-hung Tran et al.
Summary of Bootstrap Sgd: Algorithmic Stability and Robustness, by Andreas Christmann and Yunwen Lei
Summary of Carin: Constraint-aware and Responsive Inference on Heterogeneous Devices For Single- and Multi-dnn Workloads, by Ioannis Panopoulos et al.
Summary of Beyond Efficiency: Molecular Data Pruning For Enhanced Generalization, by Dingshuo Chen et al.
Summary of Time Series Classification with Random Convolution Kernels: Pooling Operators and Input Representations Matter, by Mouhamadou Mansour Lo et al.
Summary of Evidential Transformers For Improved Image Retrieval, by Danilo Dordevic et al.
Summary of Tinyagent: Function Calling at the Edge, by Lutfi Eren Erdogan et al.
Summary of Roundabout Dilemma Zone Data Mining and Forecasting with Trajectory Prediction and Graph Neural Networks, by Manthan Chelenahalli Satish et al.
Summary of Time-series Crime Prediction Across the United States Based on Socioeconomic and Political Factors, by Patricia Dao et al.
Summary of Assessing the Impact Of Upselling in Online Fantasy Sports, by Aayush Chaudhary
Summary of Knowledge-data Fusion Oriented Traffic State Estimation: a Stochastic Physics-informed Deep Learning Approach, by Ting Wang et al.
Summary of Study Of Dropout in Pointpillars with 3d Object Detection, by Xiaoxiang Sun et al.
Summary of Towards Faster Graph Partitioning Via Pre-training and Inductive Inference, by Meng Qin et al.
Summary of When Heterophily Meets Heterogeneous Graphs: Latent Graphs Guided Unsupervised Representation Learning, by Zhixiang Shen et al.
Summary of Remove: a Reference-free Metric For Object Erasure, by Aditya Chandrasekar et al.
Summary of Contextcite: Attributing Model Generation to Context, by Benjamin Cohen-wang et al.
Summary of Preference-based Multi-agent Reinforcement Learning: Data Coverage and Algorithmic Techniques, by Natalia Zhang et al.
Summary of Generating Physical Dynamics Under Priors, by Zihan Zhou et al.
Summary of Aggym: An Agricultural Biotic Stress Simulation Environment For Ultra-precision Management Planning, by Mahsa Khosravi et al.
Summary of Interpretable Clustering: a Survey, by Lianyu Hu et al.
Summary of Generalized Multi-hop Traffic Pressure For Heterogeneous Traffic Perimeter Control, by Xiaocan Li et al.
Summary of Self-supervised Vision Transformers For Writer Retrieval, by Tim Raven et al.
Summary of Situate: Indoor Human Trajectory Prediction Through Geometric Features and Self-supervised Vision Representation, by Luigi Capogrosso et al.
Summary of The Dark Side Of Human Feedback: Poisoning Large Language Models Via User Inputs, by Bocheng Chen et al.
Summary of Real-time Weather Image Classification with Svm, by Eden Ship et al.
Summary of Universal Approximation Of Operators with Transformers and Neural Integral Operators, by Emanuele Zappala and Maryam Bagherian
Summary of Reproducibility Study Of Learning Fair Graph Representations Via Automated Data Augmentations, by Thijmen Nijdam et al.
Summary of Pslf: a Pid Controller-incorporated Second-order Latent Factor Analysis Model For Recommender System, by Jialiang Wang et al.
Summary of Dynamical System Prediction From Sparse Observations Using Deep Neural Networks with Voronoi Tessellation and Physics Constraint, by Hanyang Wang et al.
Summary of Studying the Effects Of Self-attention on Sar Automatic Target Recognition, by Jacob Fein-ashley et al.
Summary of Advancing Machine Learning in Industry 4.0: Benchmark Framework For Rare-event Prediction in Chemical Processes, by Vikram Sudarshan and Warren D. Seider
Summary of Multi-scale Multi-instance Visual Sound Localization and Segmentation, by Shentong Mo et al.
Summary of Rapid Gyroscope Calibration: a Deep Learning Approach, by Yair Stolero and Itzik Klein
Summary of Post-ocr Text Correction For Bulgarian Historical Documents, by Angel Beshirov et al.
Summary of How Does Diverse Interpretability Of Textual Prompts Impact Medical Vision-language Zero-shot Tasks?, by Sicheng Wang et al.
Summary of Data Augmentation For Image Classification Using Generative Ai, by Fazle Rahat et al.
Summary of Multi-task Combinatorial Bandits For Budget Allocation, by Lin Ge et al.
Summary of Sparse Mamba: Introducing Controllability, Observability, and Stability to Structural State Space Models, by Emadeldeen Hamdan et al.
Summary of Multi-output Distributional Fairness Via Post-processing, by Gang Li et al.
Summary of Fastbo: Fast Hpo and Nas with Adaptive Fidelity Identification, by Jiantong Jiang and Ajmal Mian
Summary of Two-stage Hierarchical and Explainable Feature Selection Framework For Dimensionality Reduction in Sleep Staging, by Yangfan Deng et al.
Summary of Online Optimization For Learning to Communicate Over Time-correlated Channels, by Zheshun Wu et al.
Summary of Hyper-compression: Model Compression Via Hyperfunction, by Fenglei Fan et al.