Paper List

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Summary of Fairhome: a Fair Housing and Fair Lending Dataset, by Anusha Bagalkotkar (1) et al.
Summary of Adapting to Shifting Correlations with Unlabeled Data Calibration, by Minh Nguyen et al.
Summary of Deep Generative Model For Mechanical System Configuration Design, by Yasaman Etesam et al.
Summary of Adversarial Attacks on Data Attribution, by Xinhe Wang et al.
Summary of Real-time Human Action Recognition on Embedded Platforms, by Ruiqi Wang et al.
Summary of K-fold Causal Bart For Cate Estimation, by Hugo Gobato Souto and Francisco Louzada Neto
Summary of Unlearning or Concealment? a Critical Analysis and Evaluation Metrics For Unlearning in Diffusion Models, by Aakash Sen Sharma et al.
Summary of Zero-shot Outlier Detection Via Prior-data Fitted Networks: Model Selection Bygone!, by Yuchen Shen et al.
Summary of Mana-net: Mitigating Aggregated Sentiment Homogenization with News Weighting For Enhanced Market Prediction, by Mengyu Wang et al.
Summary of Pfedgpa: Diffusion-based Generative Parameter Aggregation For Personalized Federated Learning, by Jiahao Lai et al.
Summary of Segmentation by Factorization: Unsupervised Semantic Segmentation For Pathology By Factorizing Foundation Model Features, By Jacob Gildenblat et al.
Summary of Llms Will Always Hallucinate, and We Need to Live with This, by Sourav Banerjee et al.
Summary of Are Heterophily-specific Gnns and Homophily Metrics Really Effective? Evaluation Pitfalls and New Benchmarks, by Sitao Luan et al.
Summary of Breaking Neural Network Scaling Laws with Modularity, by Akhilan Boopathy et al.
Summary of Unified Neural Network Scaling Laws and Scale-time Equivalence, by Akhilan Boopathy et al.
Summary of Leveraging Object Priors For Point Tracking, by Bikram Boote et al.
Summary of Predicting Critical Heat Flux with Uncertainty Quantification and Domain Generalization Using Conditional Variational Autoencoders and Deep Neural Networks, by Farah Alsafadi et al.
Summary of Input Space Mode Connectivity in Deep Neural Networks, by Jakub Vrabel et al.
Summary of Enhancing Preference-based Linear Bandits Via Human Response Time, by Shen Li et al.
Summary of Cknowedit: a New Chinese Knowledge Editing Dataset For Linguistics, Facts, and Logic Error Correction in Llms, by Jizhan Fang et al.
Summary of Celcomen: Spatial Causal Disentanglement For Single-cell and Tissue Perturbation Modeling, by Stathis Megas et al.
Summary of Improving Pretraining Data Using Perplexity Correlations, by Tristan Thrush et al.
Summary of A Framework For Evaluating Pm2.5 Forecasts From the Perspective Of Individual Decision Making, by Renato Berlinghieri et al.
Summary of Hypersmote: a Hypergraph-based Oversampling Approach For Imbalanced Node Classifications, by Ziming Zhao et al.
Summary of State-novelty Guided Action Persistence in Deep Reinforcement Learning, by Jianshu Hu et al.
Summary of Beyond Flatland: a Geometric Take on Matching Methods For Treatment Effect Estimation, by Melanie F. Pradier et al.
Summary of Cradle-vae: Enhancing Single-cell Gene Perturbation Modeling with Counterfactual Reasoning-based Artifact Disentanglement, by Seungheun Baek et al.
Summary of Retrofitting Temporal Graph Neural Networks with Transformer, by Qiang Huang et al.
Summary of Using Machine Learning For Fault Detection in Lighthouse Light Sensors, by Michael Kampouridis and Nikolaos Vastardis and George Rayment
Summary of Optimizing Varlingam For Scalable and Efficient Time Series Causal Discovery, by Ziyang Jiao et al.
Summary of A General Reduced-order Neural Operator For Spatio-temporal Predictive Learning on Complex Spatial Domains, by Qinglu Meng et al.
Summary of Cobo: Collaborative Learning Via Bilevel Optimization, by Diba Hashemi et al.
Summary of Interpolation, Extrapolation, Hyperpolation: Generalising Into New Dimensions, by Toby Ord
Summary of Sciagents: Automating Scientific Discovery Through Multi-agent Intelligent Graph Reasoning, by Alireza Ghafarollahi and Markus J. Buehler
Summary of Learning to Model Graph Structural Information on Mlps Via Graph Structure Self-contrasting, by Lirong Wu et al.
Summary of Approximation Bounds For Recurrent Neural Networks with Application to Regression, by Yuling Jiao et al.
Summary of When Resampling/reweighting Improves Feature Learning in Imbalanced Classification?: a Toy-model Study, by Tomoyuki Obuchi et al.
Summary of Synmorph: Generating Synthetic Face Morphing Dataset with Mated Samples, by Haoyu Zhang et al.
Summary of Normalizing Energy Consumption For Hardware-independent Evaluation, by Constance Douwes et al.
Summary of Joint Input and Output Coordination For Class-incremental Learning, by Shuai Wang et al.
Summary of Forward Kl Regularized Preference Optimization For Aligning Diffusion Policies, by Zhao Shan et al.
Summary of Optimal Projections For Classification with Naive Bayes, by David P. Hofmeyr et al.
Summary of Interactive Incremental Learning Of Generalizable Skills with Local Trajectory Modulation, by Markus Knauer et al.
Summary of Learning Submodular Sequencing From Samples, by Jing Yuan et al.
Summary of Towards Fast Rates For Federated and Multi-task Reinforcement Learning, by Feng Zhu et al.
Summary of Resource-efficient Generative Ai Model Deployment in Mobile Edge Networks, by Yuxin Liang et al.
Summary of Mpox Narrative on Instagram: a Labeled Multilingual Dataset Of Instagram Posts on Mpox For Sentiment, Hate Speech, and Anxiety Analysis, by Nirmalya Thakur
Summary of Sample-efficient Bayesian Optimization with Transfer Learning For Heterogeneous Search Spaces, by Aryan Deshwal et al.
Summary of Icpr 2024 Competition on Safe Segmentation Of Drive Scenes in Unstructured Traffic and Adverse Weather Conditions, by Furqan Ahmed Shaik et al.
Summary of Closed-form Interpretation Of Neural Network Latent Spaces with Symbolic Gradients, by Zakaria Patel and Sebastian J. Wetzel
Summary of A Multi-modal Deep Learning Based Approach For House Price Prediction, by Md Hasebul Hasan et al.
Summary of Graffin: Stand For Tails in Imbalanced Node Classification, by Xiaorui Qi et al.
Summary of Robust Non-adaptive Group Testing Under Errors in Group Membership Specifications, by Shuvayan Banerjee et al.
Summary of Gdflow: Anomaly Detection with Ncde-based Normalizing Flow For Advanced Driver Assistance System, by Kangjun Lee et al.
Summary of Tripleplay: Enhancing Federated Learning with Clip For Non-iid Data and Resource Efficiency, by Ahmed Imteaj et al.
Summary of On the Convergence Analysis Of Over-parameterized Variational Autoencoders: a Neural Tangent Kernel Perspective, by Li Wang and Wei Huang
Summary of Indicvoices-r: Unlocking a Massive Multilingual Multi-speaker Speech Corpus For Scaling Indian Tts, by Ashwin Sankar and Srija Anand and Praveen Srinivasa Varadhan and Sherry Thomas and Mehak Singal and Shridhar Kumar and Deovrat Mehendale and Aditi Krishana and Giri Raju and Mitesh Khapra
Summary of Attention Based Machine Learning Methods For Data Reduction with Guaranteed Error Bounds, by Xiao Li and Jaemoon Lee and Anand Rangarajan and Sanjay Ranka
Summary of Recursive Nested Filtering For Efficient Amortized Bayesian Experimental Design, by Sahel Iqbal et al.
Summary of Bamdp Shaping: a Unified Theoretical Framework For Intrinsic Motivation and Reward Shaping, by Aly Lidayan et al.
Summary of A Novel Representation Of Periodic Pattern and Its Application to Untrained Anomaly Detection, by Peng Ye et al.
Summary of Shaking Up Vlms: Comparing Transformers and Structured State Space Models For Vision & Language Modeling, by Georgios Pantazopoulos et al.
Summary of Sequential Posterior Sampling with Diffusion Models, by Tristan S.w. Stevens et al.
Summary of Dynamicfl: Federated Learning with Dynamic Communication Resource Allocation, by Qi Le et al.
Summary of Some Results on Neural Network Stability, Consistency, and Convergence: Insights Into Non-iid Data, High-dimensional Settings, and Physics-informed Neural Networks, by Ronald Katende et al.
Summary of Lepskii Principle For Distributed Kernel Ridge Regression, by Shao-bo Lin
Summary of A General Framework For Clustering and Distribution Matching with Bandit Feedback, by Recep Can Yavas et al.
Summary of From Computation to Consumption: Exploring the Compute-energy Link For Training and Testing Neural Networks For Sed Systems, by Constance Douwes et al.
Summary of Maxcutpool: Differentiable Feature-aware Maxcut For Pooling in Graph Neural Networks, by Carlo Abate et al.
Summary of Imputation Of Time-varying Edge Flows in Graphs by Multilinear Kernel Regression and Manifold Learning, By Duc Thien Nguyen et al.
Summary of Onegen: Efficient One-pass Unified Generation and Retrieval For Llms, by Jintian Zhang et al.
Summary of Can Ood Object Detectors Learn From Foundation Models?, by Jiahui Liu et al.
Summary of Sliding-window Thompson Sampling For Non-stationary Settings, by Marco Fiandri et al.
Summary of Lung-detr: Deformable Detection Transformer For Sparse Lung Nodule Anomaly Detection, by Hooman Ramezani et al.
Summary of A Survey on Mixup Augmentations and Beyond, by Xin Jin et al.
Summary of Sef: a Method For Computing Prediction Intervals by Shifting the Error Function in Neural Networks, By E. V. Aretos and D. G. Sotiropoulos
Summary of Low Latency Transformer Inference on Fpgas For Physics Applications with Hls4ml, by Zhixing Jiang et al.
Summary of Influence-based Attributions Can Be Manipulated, by Chhavi Yadav et al.
Summary of Bbs: Bi-directional Bit-level Sparsity For Deep Learning Acceleration, by Yuzong Chen et al.
Summary of Synthetic Tabular Data Generation For Class Imbalance and Fairness: a Comparative Study, by Emmanouil Panagiotou et al.
Summary of Empowering Bayesian Neural Networks with Functional Priors Through Anchored Ensembling For Mechanics Surrogate Modeling Applications, by Javad Ghorbanian et al.
Summary of Towards Automated Machine Learning Research, by Shervin Ardeshir
Summary of Bypassing the Noisy Parity Barrier: Learning Higher-order Markov Random Fields From Dynamics, by Jason Gaitonde et al.
Summary of Component Fourier Neural Operator For Singularly Perturbed Differential Equations, by Ye Li et al.
Summary of Selective Self-rehearsal: a Fine-tuning Approach to Improve Generalization in Large Language Models, by Sonam Gupta et al.
Summary of Improving Deep Reinforcement Learning by Reducing the Chain Effect Of Value and Policy Churn, By Hongyao Tang and Glen Berseth
Summary of Beyond One-time Validation: a Framework For Adaptive Validation Of Prognostic and Diagnostic Ai-based Medical Devices, by Florian Hellmeier et al.
Summary of Nash: Neural Architecture and Accelerator Search For Multiplication-reduced Hybrid Models, by Yang Xu et al.
Summary of Freeaugment: Data Augmentation Search Across All Degrees Of Freedom, by Tom Bekor et al.
Summary of Phrase-level Adversarial Training For Mitigating Bias in Neural Network-based Automatic Essay Scoring, by Haddad Philip et al.
Summary of Reward-directed Score-based Diffusion Models Via Q-learning, by Xuefeng Gao et al.
Summary of Sample and Oracle Efficient Reinforcement Learning For Mdps with Linearly-realizable Value Functions, by Zakaria Mhammedi
Summary of Fedmodule: a Modular Federated Learning Framework, by Chuyi Chen et al.
Summary of Sequential Classification Of Misinformation, by Daniel Toma and Wasim Huleihel
Summary of Learning Joint Models Of Prediction and Optimization, by James Kotary et al.
Summary of Unlocking the Potential Of Model Calibration in Federated Learning, by Yun-wei Chu et al.
Summary of Ngd Converges to Less Degenerate Solutions Than Sgd, by Moosa Saghir et al.
Summary of Activation Function Optimization Scheme For Image Classification, by Abdur Rahman et al.
Summary of Learning with Shared Representations: Statistical Rates and Efficient Algorithms, by Xiaochun Niu et al.
Summary of Soft Actor-critic with Beta Policy Via Implicit Reparameterization Gradients, by Luca Della Libera