Paper List

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Summary of Graph-convolutional Autoencoder Ensembles For the Humanities, Illustrated with a Study Of the American Slave Trade, by Tom Lippincott
Summary of Tensor Networks For Explainable Machine Learning in Cybersecurity, by Borja Aizpurua et al.
Summary of Unifying Self-supervised Clustering and Energy-based Models, by Emanuele Sansone and Robin Manhaeve
Summary of Interpreting the Curse Of Dimensionality From Distance Concentration and Manifold Effect, by Dehua Peng et al.
Summary of Msgnet: Learning Multi-scale Inter-series Correlations For Multivariate Time Series Forecasting, by Wanlin Cai et al.
Summary of Real-time Fj/mac Pde Solvers Via Tensorized, Back-propagation-free Optical Pinn Training, by Yequan Zhao et al.
Summary of Energy-efficient Power Control For Multiple-task Split Inference in Uavs: a Tiny Learning-based Approach, by Chenxi Zhao et al.
Summary of Beyond Chinchilla-optimal: Accounting For Inference in Language Model Scaling Laws, by Nikhil Sardana and Jacob Portes and Sasha Doubov and Jonathan Frankle
Summary of Kernel Density Estimation For Multiclass Quantification, by Alejandro Moreo et al.
Summary of Sar-rarp50: Segmentation Of Surgical Instrumentation and Action Recognition on Robot-assisted Radical Prostatectomy Challenge, by Dimitrios Psychogyios et al.
Summary of Viz: a Qlora-based Copyright Marketplace For Legally Compliant Generative Ai, by Dipankar Sarkar
Summary of Graphgpt: Generative Pre-trained Graph Eulerian Transformer, by Qifang Zhao et al.
Summary of Multi-spatial Multi-temporal Air Quality Forecasting with Integrated Monitoring and Reanalysis Data, by Yuxiao Hu et al.
Summary of Financial Time-series Forecasting: Towards Synergizing Performance and Interpretability Within a Hybrid Machine Learning Approach, by Shun Liu et al.
Summary of On the Necessity Of Metalearning: Learning Suitable Parameterizations For Learning Processes, by Massinissa Hamidi et al.
Summary of Exploring the Effectiveness Of Instruction Tuning in Biomedical Language Processing, by Omid Rohanian et al.
Summary of A Reliable Knowledge Processing Framework For Combustion Science Using Foundation Models, by Vansh Sharma and Venkat Raman
Summary of On Learning For Ambiguous Chance Constrained Problems, by a Ch Madhusudanarao et al.
Summary of Allspark: a Multimodal Spatio-temporal General Intelligence Model with Ten Modalities Via Language As a Reference Framework, by Run Shao et al.
Summary of An Analysis Of Embedding Layers and Similarity Scores Using Siamese Neural Networks, by Yash Bingi and Yiqiao Yin
Summary of Improving the Privacy and Practicality Of Objective Perturbation For Differentially Private Linear Learners, by Rachel Redberg et al.
Summary of Federated Class-incremental Learning with New-class Augmented Self-distillation, by Zhiyuan Wu et al.
Summary of Fairness in Serving Large Language Models, by Ying Sheng et al.
Summary of Quantifying Intra-tumoral Genetic Heterogeneity Of Glioblastoma Toward Precision Medicine Using Mri and a Data-inclusive Machine Learning Algorithm, by Lujia Wang et al.
Summary of Diffhybrid-uq: Uncertainty Quantification For Differentiable Hybrid Neural Modeling, by Deepak Akhare et al.
Summary of L3cube-mahasocialner: a Social Media Based Marathi Ner Dataset and Bert Models, by Harsh Chaudhari et al.
Summary of Policy Optimization with Smooth Guidance Learned From State-only Demonstrations, by Guojian Wang et al.
Summary of A Novel Explanation Against Linear Neural Networks, by Anish Lakkapragada
Summary of Kaxai: An Integrated Environment For Knowledge Analysis and Explainable Ai, by Saikat Barua et al.
Summary of Transformer Multivariate Forecasting: Less Is More?, by Jingjing Xu et al.
Summary of Uncertainty-penalized Reinforcement Learning From Human Feedback with Diverse Reward Lora Ensembles, by Yuanzhao Zhai et al.
Summary of Second-order Uncertainty Quantification: Variance-based Measures, by Yusuf Sale et al.
Summary of Deep Generative Symbolic Regression, by Samuel Holt et al.
Summary of Dxai: Explaining Classification by Image Decomposition, By Elnatan Kadar et al.
Summary of Two-step Offline Preference-based Reinforcement Learning with Constrained Actions, by Yinglun Xu et al.
Summary of On the Burstiness Of Distributed Machine Learning Traffic, by Natchanon Luangsomboon et al.
Summary of Explainability-driven Leaf Disease Classification Using Adversarial Training and Knowledge Distillation, by Sebastian-vasile Echim et al.
Summary of Tight Finite Time Bounds Of Two-time-scale Linear Stochastic Approximation with Markovian Noise, by Shaan Ul Haque et al.
Summary of Hq-vae: Hierarchical Discrete Representation Learning with Variational Bayes, by Yuhta Takida et al.
Summary of Predicting Evoked Emotions in Conversations, by Enas Altarawneh et al.
Summary of Horizontal Federated Computer Vision, by Paul K. Mandal et al.
Summary of Generative Model-driven Synthetic Training Image Generation: An Approach to Cognition in Rail Defect Detection, by Rahatara Ferdousi et al.
Summary of Overcome Modal Bias in Multi-modal Federated Learning Via Balanced Modality Selection, by Yunfeng Fan et al.
Summary of A Framework For Conditional Diffusion Modelling with Applications in Motif Scaffolding For Protein Design, by Kieran Didi et al.
Summary of Universal Approximation Property Of Banach Space-valued Random Feature Models Including Random Neural Networks, by Ariel Neufeld et al.
Summary of Comprehensive Validation on Reweighting Samples For Bias Mitigation Via Aif360, by Christina Hastings Blow et al.
Summary of Perception Test 2023: a Summary Of the First Challenge and Outcome, by Joseph Heyward et al.
Summary of Weatherproof: a Paired-dataset Approach to Semantic Segmentation in Adverse Weather, by Blake Gella et al.
Summary of Unveiling Backbone Effects in Clip: Exploring Representational Synergies and Variances, by Cristian Rodriguez-opazo and Edison Marrese-taylor and Ehsan Abbasnejad and Hamed Damirchi and Ignacio M. Jara and Felipe Bravo-marquez and Anton Van Den Hengel
Summary of The Fourth International Verification Of Neural Networks Competition (vnn-comp 2023): Summary and Results, by Christopher Brix et al.
Summary of Distributional Reinforcement Learning-based Energy Arbitrage Strategies in Imbalance Settlement Mechanism, by Seyed Soroush Karimi Madahi et al.
Summary of Self-supervised Pretraining For Decision Foundation Model: Formulation, Pipeline and Challenges, by Xiaoqian Liu et al.
Summary of Hybrid Modeling Design Patterns, by Maja Rudolph et al.
Summary of Discrete Distribution Networks, by Lei Yang
Summary of Online Algorithmic Recourse by Collective Action, By Elliot Creager and Richard Zemel
Summary of Generalization Properties Of Contrastive World Models, by Kandan Ramakrishnan et al.
Summary of Synthetic Data Applications in Finance, by Vamsi K. Potluru et al.
Summary of Causal State Distillation For Explainable Reinforcement Learning, by Wenhao Lu et al.
Summary of Diffusion Model with Perceptual Loss, by Shanchuan Lin et al.
Summary of Fairness-enhancing Vehicle Rebalancing in the Ride-hailing System, by Xiaotong Guo et al.
Summary of A Maritime Industry Experience For Vessel Operational Anomaly Detection: Utilizing Deep Learning Augmented with Lightweight Interpretable Models, by Mahshid Helali Moghadam et al.
Summary of Salsa: Sequential Approximate Leverage-score Algorithm with Application in Analyzing Big Time Series Data, by Ali Eshragh and Luke Yerbury and Asef Nazari and Fred Roosta and Michael W. Mahoney
Summary of Is Knowledge All Large Language Models Needed For Causal Reasoning?, by Hengrui Cai et al.
Summary of Open Knowledge Base Canonicalization with Multi-task Unlearning, by Bingchen Liu et al.
Summary of Robust Causal Bandits For Linear Models, by Zirui Yan et al.
Summary of Mathematical Introduction to Deep Learning: Methods, Implementations, and Theory, by Arnulf Jentzen et al.
Summary of Diffusion Reconstruction Of Ultrasound Images with Informative Uncertainty, by Yuxin Zhang et al.
Summary of Latent Space Translation Via Semantic Alignment, by Valentino Maiorca et al.
Summary of Convergence Analysis Of Sequential Federated Learning on Heterogeneous Data, by Yipeng Li and Xinchen Lyu
Summary of Quantifying the Value Of Information Transfer in Population-based Shm, by Aidan J. Hughes et al.
Summary of Multiiot: Benchmarking Machine Learning For the Internet Of Things, by Shentong Mo et al.
Summary of Personalized Federated Learning Via Admm with Moreau Envelope, by Shengkun Zhu et al.
Summary of Activity Sparsity Complements Weight Sparsity For Efficient Rnn Inference, by Rishav Mukherji et al.
Summary of Predict-then-optimize by Proxy: Learning Joint Models Of Prediction and Optimization, By James Kotary et al.
Summary of Detecting Out-of-distribution Text Using Topological Features Of Transformer-based Language Models, by Andres Pollano et al.
Summary of White-box Transformers Via Sparse Rate Reduction: Compression Is All There Is?, by Yaodong Yu et al.
Summary of Span-based Optimal Sample Complexity For Average Reward Mdps, by Matthew Zurek et al.
Summary of Elucidating and Overcoming the Challenges Of Label Noise in Supervised Contrastive Learning, by Zijun Long et al.
Summary of An Effective Universal Polynomial Basis For Spectral Graph Neural Networks, by Keke Huang et al.
Summary of Towards Comparable Active Learning, by Thorben Werner et al.
Summary of Flea: Addressing Data Scarcity and Label Skew in Federated Learning Via Privacy-preserving Feature Augmentation, by Tong Xia and Abhirup Ghosh and Xinchi Qiu and Cecilia Mascolo
Summary of A Pseudo-semantic Loss For Autoregressive Models with Logical Constraints, by Kareem Ahmed et al.
Summary of Conditional Prompt Tuning For Multimodal Fusion, by Ruixiang Jiang et al.
Summary of Controlling Continuous Relaxation For Combinatorial Optimization, by Yuma Ichikawa
Summary of Understanding and Mitigating the Label Noise in Pre-training on Downstream Tasks, by Hao Chen et al.
Summary of De-sate: Denoising Self-attention Transformer Encoders For Li-ion Battery Health Prognostics, by Gaurav Shinde et al.
Summary of Compressing Llms: the Truth Is Rarely Pure and Never Simple, by Ajay Jaiswal et al.
Summary of Transcending Domains Through Text-to-image Diffusion: a Source-free Approach to Domain Adaptation, by Shivang Chopra et al.
Summary of Who’s Harry Potter? Approximate Unlearning in Llms, by Ronen Eldan and Mark Russinovich
Summary of How the Level Sampling Process Impacts Zero-shot Generalisation in Deep Reinforcement Learning, by Samuel Garcin et al.
Summary of Continual Test-time Domain Adaptation Via Dynamic Sample Selection, by Yanshuo Wang et al.
Summary of Enhancing Kernel Flexibility Via Learning Asymmetric Locally-adaptive Kernels, by Fan He et al.
Summary of Latent Diffusion Model For Dna Sequence Generation, by Zehui Li et al.
Summary of Detecting and Learning Out-of-distribution Data in the Open World: Algorithm and Theory, by Yiyou Sun
Summary of Transformers For Green Semantic Communication: Less Energy, More Semantics, by Shubhabrata Mukherjee et al.
Summary of Efficient Integrators For Diffusion Generative Models, by Kushagra Pandey et al.
Summary of Detection and Prediction Of Clopidogrel Treatment Failures Using Longitudinal Structured Electronic Health Records, by Samuel Kim et al.
Summary of Arm: Refining Multivariate Forecasting with Adaptive Temporal-contextual Learning, by Jiecheng Lu et al.
Summary of Relearning Forgotten Knowledge: on Forgetting, Overfit and Training-free Ensembles Of Dnns, by Uri Stern et al.
Summary of Group-blind Optimal Transport to Group Parity and Its Constrained Variants, by Quan Zhou et al.