Paper List

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Summary of Negative Label Guided Ood Detection with Pretrained Vision-language Models, by Xue Jiang et al.
Summary of Realkie: Five Novel Datasets For Enterprise Key Information Extraction, by Benjamin Townsend et al.
Summary of Learning Enriched Features Via Selective State Spaces Model For Efficient Image Deblurring, by Hu Gao et al.
Summary of Cost-efficient Large Language Model Serving For Multi-turn Conversations with Cachedattention, by Bin Gao et al.
Summary of Njust-kmg at Trac-2024 Tasks 1 and 2: Offline Harm Potential Identification, by Jingyuan Wang et al.
Summary of A Picture Is Worth 500 Labels: a Case Study Of Demographic Disparities in Local Machine Learning Models For Instagram and Tiktok, by Jack West et al.
Summary of Computationally and Memory-efficient Robust Predictive Analytics Using Big Data, by Daniel Menges et al.
Summary of Mugc: Machine Generated Versus User Generated Content Detection, by Yaqi Xie et al.
Summary of Emoscan: Automatic Screening Of Depression Symptoms in Romanized Sinhala Tweets, by Jayathi Hewapathirana and Deshan Sumanathilaka
Summary of Mapl: Model Agnostic Peer-to-peer Learning, by Sayak Mukherjee et al.
Summary of Clora: a Contrastive Approach to Compose Multiple Lora Models, by Tuna Han Salih Meral et al.
Summary of Gegenbauer Graph Neural Networks For Time-varying Signal Reconstruction, by Jhon A. Castro-correa et al.
Summary of Feature-based Echo-state Networks: a Step Towards Interpretability and Minimalism in Reservoir Computer, by Debdipta Goswami
Summary of The New Agronomists: Language Models Are Experts in Crop Management, by Jing Wu et al.
Summary of The State Of Lithium-ion Battery Health Prognostics in the Cps Era, by Gaurav Shinde et al.
Summary of Concept-based Analysis Of Neural Networks Via Vision-language Models, by Ravi Mangal et al.
Summary of Localizing Paragraph Memorization in Language Models, by Niklas Stoehr et al.
Summary of A Review Of Graph Neural Networks in Epidemic Modeling, by Zewen Liu et al.
Summary of Denetdm: Debiasing by Network Depth Modulation, By Silpa Vadakkeeveetil Sreelatha et al.
Summary of Towards Stable Machine Learning Model Retraining Via Slowly Varying Sequences, by Dimitris Bertsimas et al.
Summary of Jamba: a Hybrid Transformer-mamba Language Model, by Opher Lieber et al.
Summary of Mambamixer: Efficient Selective State Space Models with Dual Token and Channel Selection, by Ali Behrouz and Michele Santacatterina and Ramin Zabih
Summary of Towards a Robust Retrieval-based Summarization System, by Shengjie Liu et al.
Summary of Regression with Multi-expert Deferral, by Anqi Mao et al.
Summary of Client-supervised Federated Learning: Towards One-model-for-all Personalization, by Peng Yan et al.
Summary of Tensor Network-constrained Kernel Machines As Gaussian Processes, by Frederiek Wesel et al.
Summary of Sinenet: Learning Temporal Dynamics in Time-dependent Partial Differential Equations, by Xuan Zhang et al.
Summary of Cdimc-net: Cognitive Deep Incomplete Multi-view Clustering Network, by Jie Wen et al.
Summary of Interpreting Key Mechanisms Of Factual Recall in Transformer-based Language Models, by Ang Lv et al.
Summary of Maximum Likelihood Estimation on Stochastic Blockmodels For Directed Graph Clustering, by Mihai Cucuringu et al.
Summary of Model Stock: All We Need Is Just a Few Fine-tuned Models, by Dong-hwan Jang et al.
Summary of Croissant: a Metadata Format For Ml-ready Datasets, by Mubashara Akhtar et al.
Summary of Self-improved Learning For Scalable Neural Combinatorial Optimization, by Fu Luo et al.
Summary of Grind: Grid Interpolation Network For Scattered Observations, by Andrzej Dulny et al.
Summary of Swarm Characteristics Classification Using Neural Networks, by Donald W. Peltier Iii et al.
Summary of Densenets Reloaded: Paradigm Shift Beyond Resnets and Vits, by Donghyun Kim et al.
Summary of Genetic Quantization-aware Approximation For Non-linear Operations in Transformers, by Pingcheng Dong et al.
Summary of Metric Learning From Limited Pairwise Preference Comparisons, by Zhi Wang et al.
Summary of Ilpo-net: Network For the Invariant Recognition Of Arbitrary Volumetric Patterns in 3d, by Dmitrii Zhemchuzhnikov and Sergei Grudinin
Summary of Retrieval-enhanced Knowledge Editing in Language Models For Multi-hop Question Answering, by Yucheng Shi et al.
Summary of Sparse Feature Circuits: Discovering and Editing Interpretable Causal Graphs in Language Models, by Samuel Marks et al.
Summary of Analyzing the Roles Of Language and Vision in Learning From Limited Data, by Allison Chen et al.
Summary of Strum-llm: Attributed and Structured Contrastive Summarization, by Beliz Gunel et al.
Summary of Az-nas: Assembling Zero-cost Proxies For Network Architecture Search, by Junghyup Lee et al.
Summary of Mpxgat: An Attention Based Deep Learning Model For Multiplex Graphs Embedding, by Marco Bongiovanni et al.
Summary of Efficient Learning with Sine-activated Low-rank Matrices, by Yiping Ji et al.
Summary of Inferring Latent Temporal Sparse Coordination Graph For Multi-agent Reinforcement Learning, by Wei Duan et al.
Summary of A Machine Learning Approach For Crop Yield and Disease Prediction Integrating Soil Nutrition and Weather Factors, by Forkan Uddin Ahmed (1) et al.
Summary of Fine-tuning Language Models with Reward Learning on Policy, by Hao Lang et al.
Summary of Uplift Modeling Under Limited Supervision, by George Panagopoulos et al.
Summary of Flowdepth: Decoupling Optical Flow For Self-supervised Monocular Depth Estimation, by Yiyang Sun et al.
Summary of Hypergraph-based Multi-view Action Recognition Using Event Cameras, by Yue Gao et al.
Summary of Medbn: Robust Test-time Adaptation Against Malicious Test Samples, by Hyejin Park et al.
Summary of An Interactive Human-machine Learning Interface For Collecting and Learning From Complex Annotations, by Jonathan Erskine et al.
Summary of Artificial Intelligence (ai) Based Prediction Of Mortality, For Covid-19 Patients, by Mahbubunnabi Tamala et al.
Summary of On Uncertainty Quantification For Near-bayes Optimal Algorithms, by Ziyu Wang et al.
Summary of Tabular Learning: Encoding For Entity and Context Embeddings, by Fredy Reusser
Summary of Fairness in Ranking: Robustness Through Randomization Without the Protected Attribute, by Andrii Kliachkin and Eleni Psaroudaki and Jakub Marecek and Dimitris Fotakis
Summary of Constants Of Motion For Conserved and Non-conserved Dynamics, by Michael F. Zimmer
Summary of Scaling Up Ridge Regression For Brain Encoding in a Massive Individual Fmri Dataset, by Sana Ahmadi and Pierre Bellec and Tristan Glatard
Summary of Exploiting Individual Graph Structures to Enhance Ecological Momentary Assessment (ema) Forecasting, by Mandani Ntekouli et al.
Summary of Transparent and Clinically Interpretable Ai For Lung Cancer Detection in Chest X-rays, by Amy Rafferty and Rishi Ramaesh and Ajitha Rajan
Summary of Offline Imitation Learning From Multiple Baselines with Applications to Compiler Optimization, by Teodor V. Marinov et al.
Summary of Robustness and Visual Explanation For Black Box Image, Video, and Ecg Signal Classification with Reinforcement Learning, by Soumyendu Sarkar et al.
Summary of Causal-stonet: Causal Inference For High-dimensional Complex Data, by Yaxin Fang et al.
Summary of Towards Sustainable Secureml: Quantifying Carbon Footprint Of Adversarial Machine Learning, by Syed Mhamudul Hasan et al.
Summary of Exploiting Symmetry in Dynamics For Model-based Reinforcement Learning with Asymmetric Rewards, by Yasin Sonmez et al.
Summary of Evaluating Large Language Models For Health-related Text Classification Tasks with Public Social Media Data, by Yuting Guo et al.
Summary of Detecting Generative Parroting Through Overfitting Masked Autoencoders, by Saeid Asgari Taghanaki et al.
Summary of Equity in Healthcare: Analyzing Disparities in Machine Learning Predictions Of Diabetic Patient Readmissions, by Zainab Al-zanbouri et al.
Summary of Enhancing Conformal Prediction Using E-test Statistics, by A.a.balinsky and A.d.balinsky
Summary of Tiny Machine Learning: Progress and Futures, by Ji Lin et al.
Summary of Automated Black-box Prompt Engineering For Personalized Text-to-image Generation, by Yutong He et al.
Summary of Tiny Graph Neural Networks For Radio Resource Management, by Ahmad Ghasemi et al.
Summary of Improving Cancer Imaging Diagnosis with Bayesian Networks and Deep Learning: a Bayesian Deep Learning Approach, by Pei Xi (alex) Lin
Summary of Synthetic Medical Imaging Generation with Generative Adversarial Networks For Plain Radiographs, by John R. Mcnulty et al.
Summary of Topological Cycle Graph Attention Network For Brain Functional Connectivity, by Jinghan Huang et al.
Summary of Towards Understanding Dual Bn in Hybrid Adversarial Training, by Chenshuang Zhang et al.
Summary of Disentangling Length From Quality in Direct Preference Optimization, by Ryan Park and Rafael Rafailov and Stefano Ermon and Chelsea Finn
Summary of D’oh: Decoder-only Random Hypernetworks For Implicit Neural Representations, by Cameron Gordon et al.
Summary of Evaluating Fair Feature Selection in Machine Learning For Healthcare, by Md Rahat Shahriar Zawad et al.
Summary of From Activation to Initialization: Scaling Insights For Optimizing Neural Fields, by Hemanth Saratchandran et al.
Summary of Dual-personalizing Adapter For Federated Foundation Models, by Yiyuan Yang et al.
Summary of Superior Parallel Big Data Clustering Through Competitive Stochastic Sample Size Optimization in Big-means, by Rustam Mussabayev et al.
Summary of Raw: a Robust and Agile Plug-and-play Watermark Framework For Ai-generated Images with Provable Guarantees, by Xun Xian et al.
Summary of Imagenet-d: Benchmarking Neural Network Robustness on Diffusion Synthetic Object, by Chenshuang Zhang et al.
Summary of Long-form Factuality in Large Language Models, by Jerry Wei and Chengrun Yang and Xinying Song and Yifeng Lu and Nathan Hu and Jie Huang and Dustin Tran and Daiyi Peng and Ruibo Liu and Da Huang and Cosmo Du and Quoc V. Le
Summary of Ecodepth: Effective Conditioning Of Diffusion Models For Monocular Depth Estimation, by Suraj Patni et al.
Summary of Jep-kd: Joint-embedding Predictive Architecture Based Knowledge Distillation For Visual Speech Recognition, by Chang Sun et al.
Summary of Bridging Generative Networks with the Common Model Of Cognition, by Robert L. West et al.
Summary of Sugarcanenet: An Optimized Ensemble Of Lasso-regularized Pre-trained Models For Accurate Disease Classification, by Md. Simul Hasan Talukder et al.
Summary of Targeted Visualization Of the Backbone Of Encoder Llms, by Isaac Roberts et al.
Summary of Clinical Domain Knowledge-derived Template Improves Post Hoc Ai Explanations in Pneumothorax Classification, by Han Yuan et al.
Summary of Teaching Ai the Anatomy Behind the Scan: Addressing Anatomical Flaws in Medical Image Segmentation with Learnable Prior, by Young Seok Jeon et al.
Summary of Self-expansion Of Pre-trained Models with Mixture Of Adapters For Continual Learning, by Huiyi Wang et al.
Summary of A Geometric Explanation Of the Likelihood Ood Detection Paradox, by Hamidreza Kamkari et al.
Summary of Plot-tal — Prompt Learning with Optimal Transport For Few-shot Temporal Action Localization, by Edward Fish et al.
Summary of Xmoe: Sparse Models with Fine-grained and Adaptive Expert Selection, by Yuanhang Yang et al.
Summary of Hybridizing Traditional and Next-generation Reservoir Computing to Accurately and Efficiently Forecast Dynamical Systems, by Ravi Chepuri et al.
Summary of Self-supervised Interpretable End-to-end Learning Via Latent Functional Modularity, by Hyunki Seong et al.