Paper List

We recommend you use the search box as this list is very long.

Summary of Generalized Relevance Learning Grassmann Quantization, by M. Mohammadi et al.
Summary of Design Of An Basis-projected Layer For Sparse Datasets in Deep Learning Training Using Gc-ms Spectra As a Case Study, by Yu Tang Chang and Shih Fang Chen
Summary of Can We Talk Models Into Seeing the World Differently?, by Paul Gavrikov et al.
Summary of Governance Of Generative Artificial Intelligence For Companies, by Johannes Schneider et al.
Summary of Adversarially Robust Deepfake Detection Via Adversarial Feature Similarity Learning, by Sarwar Khan
Summary of Neural Loss Function Evolution For Large-scale Image Classifier Convolutional Neural Networks, by Brandon Morgan and Dean Hougen
Summary of Multimodal Fusion Of Ehr in Structures and Semantics: Integrating Clinical Records and Notes with Hypergraph and Llm, by Hejie Cui et al.
Summary of Thermometer: Towards Universal Calibration For Large Language Models, by Maohao Shen et al.
Summary of Diet-odin: a Novel Framework For Opioid Misuse Detection with Interpretable Dietary Patterns, by Zheyuan Zhang et al.
Summary of Lora-sp: Streamlined Partial Parameter Adaptation For Resource-efficient Fine-tuning Of Large Language Models, by Yichao Wu et al.
Summary of Effective Gradient Sample Size Via Variation Estimation For Accelerating Sharpness Aware Minimization, by Jiaxin Deng et al.
Summary of Majority-of-three: the Simplest Optimal Learner?, by Ishaq Aden-ali et al.
Summary of Predictive Analysis Of Tuberculosis Treatment Outcomes Using Machine Learning: a Karnataka Tb Data Study at a Scale, by Seshasai Nath Chinagudaba et al.
Summary of Stacking-based Deep Neural Network For Player Scouting in Football 1, by Simon Lacan (imt Nord Europe)
Summary of Cyclic Data Parallelism For Efficient Parallelism Of Deep Neural Networks, by Louis Fournier (mlia) et al.
Summary of Predictive Clustering Of Vessel Behavior Based on Hierarchical Trajectory Representation, by Rui Zhang et al.
Summary of Structural Positional Encoding For Knowledge Integration in Transformer-based Medical Process Monitoring, by Christopher Irwin et al.
Summary of Learning-enhanced Neighborhood Selection For the Vehicle Routing Problem with Time Windows, by Willem Feijen et al.
Summary of Bifurcated Attention: Accelerating Massively Parallel Decoding with Shared Prefixes in Llms, by Ben Athiwaratkun et al.
Summary of Refresh: Responsible and Efficient Feature Reselection Guided by Shap Values, By Shubham Sharma et al.
Summary of Multi-objective Optimization Using Adaptive Distributed Reinforcement Learning, by Jing Tan et al.
Summary of A Non-asymptotic Theory Of Kernel Ridge Regression: Deterministic Equivalents, Test Error, and Gcv Estimator, by Theodor Misiakiewicz et al.
Summary of Fogguard: Guarding Yolo Against Fog Using Perceptual Loss, by Soheil Gharatappeh et al.
Summary of Data-efficient Sleep Staging with Synthetic Time Series Pretraining, by Niklas Grieger et al.
Summary of On the Convergence Of Locally Adaptive and Scalable Diffusion-based Sampling Methods For Deep Bayesian Neural Network Posteriors, by Tim Rensmeyer and Oliver Niggemann
Summary of Sap: Corrective Machine Unlearning with Scaled Activation Projection For Label Noise Robustness, by Sangamesh Kodge et al.
Summary of Multifidelity Linear Regression For Scientific Machine Learning From Scarce Data, by Elizabeth Qian et al.
Summary of A Decade’s Battle on Dataset Bias: Are We There Yet?, by Zhuang Liu et al.
Summary of Human Alignment Of Large Language Models Through Online Preference Optimisation, by Daniele Calandriello et al.
Summary of Disparate Effect Of Missing Mediators on Transportability Of Causal Effects, by Vishwali Mhasawade et al.
Summary of Extracting Explanations, Justification, and Uncertainty From Black-box Deep Neural Networks, by Paul Ardis et al.
Summary of Zero-shot and Few-shot Generation Strategies For Artificial Clinical Records, by Erlend Frayling et al.
Summary of When Can We Approximate Wide Contrastive Models with Neural Tangent Kernels and Principal Component Analysis?, by Gautham Govind Anil et al.
Summary of Implicit Regularization Of Gradient Flow on One-layer Softmax Attention, by Heejune Sheen et al.
Summary of Ambient Diffusion Posterior Sampling: Solving Inverse Problems with Diffusion Models Trained on Corrupted Data, by Asad Aali and Giannis Daras et al.
Summary of Prompting Fairness: Integrating Causality to Debias Large Language Models, by Jingling Li et al.
Summary of Neural Reproducing Kernel Banach Spaces and Representer Theorems For Deep Networks, by Francesca Bartolucci et al.
Summary of Dam: Dynamic Adapter Merging For Continual Video Qa Learning, by Feng Cheng et al.
Summary of Efficient Combinatorial Optimization Via Heat Diffusion, by Hengyuan Ma et al.
Summary of Simple and Scalable Strategies to Continually Pre-train Large Language Models, by Adam Ibrahim et al.
Summary of Multi-view Subspace Clustering Via An Adaptive Consensus Graph Filter, by Lai Wei et al.
Summary of Bridging Human Concepts and Computer Vision For Explainable Face Verification, by Miriam Doh (umons et al.
Summary of Realtime Facial Expression Recognition: Neuromorphic Hardware Vs. Edge Ai Accelerators, by Heath Smith et al.
Summary of Causal Graph Neural Networks For Wildfire Danger Prediction, by Shan Zhao et al.
Summary of Deepcshap: Utilizing Shapley Values to Explain Deep Complex-valued Neural Networks, by Florian Eilers and Xiaoyi Jiang
Summary of Reproducibility and Geometric Intrinsic Dimensionality: An Investigation on Graph Neural Network Research, by Tobias Hille and Maximilian Stubbemann and Tom Hanika
Summary of Actor-critic Physics-informed Neural Lyapunov Control, by Jiarui Wang and Mahyar Fazlyab
Summary of Authorship Verification Based on the Likelihood Ratio Of Grammar Models, by Andrea Nini et al.
Summary of An Analysis Of Human Alignment Of Latent Diffusion Models, by Lorenz Linhardt and Marco Morik and Sidney Bender and Naima Elosegui Borras
Summary of Unleashing the Power Of Meta-tuning For Few-shot Generalization Through Sparse Interpolated Experts, by Shengzhuang Chen et al.
Summary of Diprompt: Disentangled Prompt Tuning For Multiple Latent Domain Generalization in Federated Learning, by Sikai Bai et al.
Summary of Sok: Reducing the Vulnerability Of Fine-tuned Language Models to Membership Inference Attacks, by Guy Amit et al.
Summary of Language Models Scale Reliably with Over-training and on Downstream Tasks, by Samir Yitzhak Gadre and Georgios Smyrnis and Vaishaal Shankar and Suchin Gururangan and Mitchell Wortsman and Rulin Shao and Jean Mercat and Alex Fang and Jeffrey Li and Sedrick Keh and Rui Xin and Marianna Nezhurina and Igor Vasiljevic and Jenia Jitsev and Luca Soldaini and Alexandros G. Dimakis and Gabriel Ilharco and Pang Wei Koh and Shuran Song and Thomas Kollar and Yair Carmon and Achal Dave and Reinhard Heckel and Niklas Muennighoff and Ludwig Schmidt
Summary of Holmes: Holonym-meronym Based Semantic Inspection For Convolutional Image Classifiers, by Francesco Dibitonto et al.
Summary of Cina: Conditional Implicit Neural Atlas For Spatio-temporal Representation Of Fetal Brains, by Maik Dannecker et al.
Summary of Federated Knowledge Graph Unlearning Via Diffusion Model, by Bingchen Liu and Yuanyuan Fang
Summary of Structural Perspective on Constraint-based Learning Of Markov Networks, by Tuukka Korhonen et al.
Summary of Consistent Prompting For Rehearsal-free Continual Learning, by Zhanxin Gao et al.
Summary of A Physics-driven Graphsage Method For Physical Process Simulations Described by Partial Differential Equations, By Hang Hu et al.
Summary of Caformer: Rethinking Time Series Analysis From Causal Perspective, by Kexuan Zhang et al.
Summary of Machine Learning Optimized Orthogonal Basis Piecewise Polynomial Approximation, by Hannes Waclawek et al.
Summary of Improving Implicit Regularization Of Sgd with Preconditioning For Least Square Problems, by Junwei Su et al.
Summary of Can Physical Information Aid the Generalization Ability Of Neural Networks For Hydraulic Modeling?, by Gianmarco Guglielmo et al.
Summary of Research on the Application Of Deep Learning-based Bert Model in Sentiment Analysis, by Yichao Wu et al.
Summary of Robust Decision Aggregation with Adversarial Experts, by Yongkang Guo et al.
Summary of Scattered Mixture-of-experts Implementation, by Shawn Tan et al.
Summary of Machine Unlearning: Taxonomy, Metrics, Applications, Challenges, and Prospects, by Na Li et al.
Summary of Skipformer: a Skip-and-recover Strategy For Efficient Speech Recognition, by Wenjing Zhu et al.
Summary of Hrlaif: Improvements in Helpfulness and Harmlessness in Open-domain Reinforcement Learning From Ai Feedback, by Ang Li et al.
Summary of Random Search As a Baseline For Sparse Neural Network Architecture Search, by Rezsa Farahani
Summary of Cleanagent: Automating Data Standardization with Llm-based Agents, by Danrui Qi et al.
Summary of Knowledge Conflicts For Llms: a Survey, by Rongwu Xu et al.
Summary of Bayesian Optimization That Limits Search Region to Lower Dimensions Utilizing Local Gpr, by Yasunori Taguchi and Hiro Gangi
Summary of Fast Inference Of Removal-based Node Influence, by Weikai Li et al.
Summary of A Sparsity Principle For Partially Observable Causal Representation Learning, by Danru Xu et al.
Summary of Decoupled Federated Learning on Long-tailed and Non-iid Data with Feature Statistics, by Zhuoxin Chen et al.
Summary of Stmpl: Human Soft-tissue Simulation, by Anton Agafonov and Lihi Zelnik-manor
Summary of Data Augmentation with Automated Machine Learning: Approaches and Performance Comparison with Classical Data Augmentation Methods, by Alhassan Mumuni and Fuseini Mumuni
Summary of Smart: Submodular Data Mixture Strategy For Instruction Tuning, by H S V N S Kowndinya Renduchintala et al.
Summary of Nonlinear Manifold Learning Determines Microgel Size From Raman Spectroscopy, by Eleni D. Koronaki et al.
Summary of Optimizing Risk-averse Human-ai Hybrid Teams, by Andrew Fuchs et al.
Summary of Fsdr: a Novel Deep Learning-based Feature Selection Algorithm For Pseudo Time-series Data Using Discrete Relaxation, by Mohammad Rahman et al.
Summary of Reduced Jeffries-matusita Distance: a Novel Loss Function to Improve Generalization Performance Of Deep Classification Models, by Mohammad Lashkari et al.
Summary of Drivaernet: a Parametric Car Dataset For Data-driven Aerodynamic Design and Prediction, by Mohamed Elrefaie et al.
Summary of Fluorosam: a Language-aligned Foundation Model For X-ray Image Segmentation, by Benjamin D. Killeen et al.
Summary of Chai: Clustered Head Attention For Efficient Llm Inference, by Saurabh Agarwal et al.
Summary of Mechanics Of Next Token Prediction with Self-attention, by Yingcong Li et al.
Summary of Early Directional Convergence in Deep Homogeneous Neural Networks For Small Initializations, by Akshay Kumar and Jarvis Haupt
Summary of Efficient Language Model Architectures For Differentially Private Federated Learning, by Jae Hun Ro et al.
Summary of Towards Independence Criterion in Machine Unlearning Of Features and Labels, by Ling Han et al.
Summary of Representing Molecules As Random Walks Over Interpretable Grammars, by Michael Sun et al.
Summary of Measuring the Energy Consumption and Efficiency Of Deep Neural Networks: An Empirical Analysis and Design Recommendations, by Charles Edison Tripp et al.
Summary of The Effect Of Different Optimization Strategies to Physics-constrained Deep Learning For Soil Moisture Estimation, by Jianxin Xie et al.
Summary of Asymptotics Of Random Feature Regression Beyond the Linear Scaling Regime, by Hong Hu et al.
Summary of Molbind: Multimodal Alignment Of Language, Molecules, and Proteins, by Teng Xiao et al.
Summary of Unsupervised Learning Of Hybrid Latent Dynamics: a Learn-to-identify Framework, by Yubo Ye et al.
Summary of Page: Domain-incremental Adaptation with Past-agnostic Generative Replay For Smart Healthcare, by Chia-hao Li and Niraj K. Jha
Summary of Learning-driven Physically-aware Large-scale Circuit Gate Sizing, by Yuyang Ye et al.
Summary of Deep Submodular Peripteral Networks, by Gantavya Bhatt et al.
Summary of Autodfp: Automatic Data-free Pruning Via Channel Similarity Reconstruction, by Siqi Li et al.