Paper List

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Summary of Spinex-clustering: Similarity-based Predictions with Explainable Neighbors Exploration For Clustering Problems, by Mz Naser et al.
Summary of Improving Out-of-distribution Detection by Combining Existing Post-hoc Methods, By Paul Novello et al.
Summary of Convnlp: Image-based Ai Text Detection, by Suriya Prakash Jambunathan et al.
Summary of Advanced Financial Fraud Detection Using Gnn-cl Model, by Yu Cheng et al.
Summary of Driftgan: Using Historical Data For Unsupervised Recurring Drift Detection, by Christofer Fellicious et al.
Summary of Multiple Instance Verification, by Xin Xu et al.
Summary of Entropy Law: the Story Behind Data Compression and Llm Performance, by Mingjia Yin et al.
Summary of Variational Learning Ista, by Fabio Valerio Massoli et al.
Summary of Hierarchical Average-reward Linearly-solvable Markov Decision Processes, by Guillermo Infante et al.
Summary of A Predictive Model Based on Transformer with Statistical Feature Embedding in Manufacturing Sensor Dataset, by Gyeong Taek Lee and Oh-ran Kwon
Summary of Pspu: Enhanced Positive and Unlabeled Learning by Leveraging Pseudo Supervision, By Chengjie Wang et al.
Summary of Certified Continual Learning For Neural Network Regression, by Long H. Pham and Jun Sun
Summary of Self-supervised Visual Learning From Interactions with Objects, by Arthur Aubret et al.
Summary of Mdp Geometry, Normalization and Reward Balancing Solvers, by Arsenii Mustafin et al.
Summary of Top-k Pairwise Ranking: Bridging the Gap Among Ranking-based Measures For Multi-label Classification, by Zitai Wang et al.
Summary of Graph-based Captioning: Enhancing Visual Descriptions by Interconnecting Region Captions, By Yu-guan Hsieh et al.
Summary of Frequency and Generalisation Of Periodic Activation Functions in Reinforcement Learning, by Augustine N. Mavor-parker et al.
Summary of Tevae: a Variational Autoencoder Approach For Discrete Online Anomaly Detection in Variable-state Multivariate Time-series Data, by Lucas Correia et al.
Summary of Ed-vae: Entropy Decomposition Of Elbo in Variational Autoencoders, by Fotios Lygerakis et al.
Summary of A Generalization Bound For Nearly-linear Networks, by Eugene Golikov
Summary of Performance Evaluation Of Knowledge Graph Embedding Approaches Under Non-adversarial Attacks, by Sourabh Kapoor et al.
Summary of Trust and Resilience in Federated Learning Through Smart Contracts Enabled Decentralized Systems, by Lorenzo Cassano et al.
Summary of Aligning Cyber Space with Physical World: a Comprehensive Survey on Embodied Ai, by Yang Liu et al.
Summary of Open Problem: Tight Bounds For Kernelized Multi-armed Bandits with Bernoulli Rewards, by Marco Mussi and Simone Drago and Alberto Maria Metelli
Summary of Magmax: Leveraging Model Merging For Seamless Continual Learning, by Daniel Marczak et al.
Summary of Solving Multi-model Mdps by Coordinate Ascent and Dynamic Programming, By Xihong Su et al.
Summary of Congo: Compressive Online Gradient Optimization, by Jeremy Carleton et al.
Summary of B’mojo: Hybrid State Space Realizations Of Foundation Models with Eidetic and Fading Memory, by Luca Zancato et al.
Summary of A Third-order Finite Difference Weighted Essentially Non-oscillatory Scheme with Shallow Neural Network, by Kwanghyuk Park et al.
Summary of Janet: Joint Adaptive Prediction-region Estimation For Time-series, by Eshant English et al.
Summary of High-dimensional Distributed Sparse Classification with Scalable Communication-efficient Global Updates, by Fred Lu et al.
Summary of Non-robust Features Are Not Always Useful in One-class Classification, by Matthew Lau et al.
Summary of If You Don’t Understand It, Don’t Use It: Eliminating Trojans with Filters Between Layers, by Adriano Hernandez
Summary of Solo: a Single Transformer For Scalable Vision-language Modeling, by Yangyi Chen et al.
Summary of Crowdtransfer: Enabling Crowd Knowledge Transfer in Aiot Community, by Yan Liu and Bin Guo and Nuo Li and Yasan Ding and Zhouyangzi Zhang and Zhiwen Yu
Summary of Composable Interventions For Language Models, by Arinbjorn Kolbeinsson et al.
Summary of Towards Understanding Multi-task Learning (generalization) Of Llms Via Detecting and Exploring Task-specific Neurons, by Yongqi Leng and Deyi Xiong
Summary of Preference-guided Reinforcement Learning For Efficient Exploration, by Guojian Wang et al.
Summary of Diffphycon: a Generative Approach to Control Complex Physical Systems, by Long Wei et al.
Summary of It’s Our Loss: No Privacy Amplification For Hidden State Dp-sgd with Non-convex Loss, by Meenatchi Sundaram Muthu Selva Annamalai
Summary of Economic Span Selection Of Bridge Based on Deep Reinforcement Learning, by Leye Zhang et al.
Summary of Graph Neural Networks and Deep Reinforcement Learning Based Resource Allocation For V2x Communications, by Maoxin Ji et al.
Summary of Lets-c: Leveraging Language Embedding For Time Series Classification, by Rachneet Kaur et al.
Summary of A Survey Of Controllable Learning: Methods and Applications in Information Retrieval, by Chenglei Shen et al.
Summary of Llmcap: Large Language Model For Unsupervised Pcap Failure Detection, by Lukasz Tulczyjew et al.
Summary of Analytic Convolutional Layer: a Step to Analytic Neural Network, by Jingmao Cui et al.
Summary of Assessing Cardiomegaly in Dogs Using a Simple Cnn Model, by Nikhil Deekonda
Summary of Physics-informed Machine Learning Towards a Real-time Spacecraft Thermal Simulator, by Manaswin Oddiraju et al.
Summary of Sketchy Moment Matching: Toward Fast and Provable Data Selection For Finetuning, by Yijun Dong et al.
Summary of Periodic Agent-state Based Q-learning For Pomdps, by Amit Sinha et al.
Summary of Structured Generations: Using Hierarchical Clusters to Guide Diffusion Models, by Jorge Da Silva Goncalves et al.
Summary of Rnns, Cnns and Transformers in Human Action Recognition: a Survey and a Hybrid Model, by Khaled Alomar and Halil Ibrahim Aysel and Xiaohao Cai
Summary of Transfer Learning with Self-supervised Vision Transformers For Snake Identification, by Anthony Miyaguchi et al.
Summary of Stepping on the Edge: Curvature Aware Learning Rate Tuners, by Vincent Roulet et al.
Summary of 4d Contrastive Superflows Are Dense 3d Representation Learners, by Xiang Xu and Lingdong Kong and Hui Shuai and Wenwei Zhang and Liang Pan and Kai Chen and Ziwei Liu and Qingshan Liu
Summary of A Survey on Mixture Of Experts, by Weilin Cai et al.
Summary of Self-supervised Pretraining For Partial Differential Equations, by Varun Madhavan and Amal S Sebastian and Bharath Ramsundar and Venkatasubramanian Viswanathan
Summary of Bias Correction in Machine Learning-based Classification Of Rare Events, by Luuk Gubbels et al.
Summary of The Impact Of An Xai-augmented Approach on Binary Classification with Scarce Data, by Ximing Wen et al.
Summary of Discounted Pseudocosts in Milp, by Krunal Kishor Patel
Summary of Multi-label Plant Species Classification with Self-supervised Vision Transformers, by Murilo Gustineli et al.
Summary of Unsupervised Fault Detection Using Sam with a Moving Window Approach, by Ahmed Maged and Herman Shen
Summary of Shedding More Light on Robust Classifiers Under the Lens Of Energy-based Models, by Mujtaba Hussain Mirza et al.
Summary of Fedmrl: Data Heterogeneity Aware Federated Multi-agent Deep Reinforcement Learning For Medical Imaging, by Pranab Sahoo et al.
Summary of Graph Reasoning Networks, by Markus Zopf et al.
Summary of Neural Network-based Information Set Weighting For Playing Reconnaissance Blind Chess, by Timo Bertram et al.
Summary of Scaling Exponents Across Parameterizations and Optimizers, by Katie Everett et al.
Summary of An Empirical Comparison Of Vocabulary Expansion and Initialization Approaches For Language Models, by Nandini Mundra et al.
Summary of Efficiently Training Neural Networks For Imperfect Information Games by Sampling Information Sets, By Timo Bertram et al.
Summary of Generation and De-identification Of Indian Clinical Discharge Summaries Using Llms, by Sanjeet Singh and Shreya Gupta and Niralee Gupta and Naimish Sharma and Lokesh Srivastava and Vibhu Agarwal and Ashutosh Modi
Summary of Link Representation Learning For Probabilistic Travel Time Estimation, by Chen Xu et al.
Summary of Fostering Trust and Quantifying Value Of Ai and Ml, by Dalmo Cirne and Veena Calambur
Summary of Tapvid-3d: a Benchmark For Tracking Any Point in 3d, by Skanda Koppula et al.
Summary of Graph Anomaly Detection with Noisy Labels by Reinforcement Learning, By Zhu Wang et al.
Summary of Pruning One More Token Is Enough: Leveraging Latency-workload Non-linearities For Vision Transformers on the Edge, by Nick John Eliopoulos et al.
Summary of Causality-driven Sequence Segmentation For Enhancing Multiphase Industrial Process Data Analysis and Soft Sensing, by Yimeng He et al.
Summary of T2vsafetybench: Evaluating the Safety Of Text-to-video Generative Models, by Yibo Miao et al.
Summary of Active Label Refinement For Robust Training Of Imbalanced Medical Image Classification Tasks in the Presence Of High Label Noise, by Bidur Khanal et al.
Summary of On Bellman Equations For Continuous-time Policy Evaluation I: Discretization and Approximation, by Wenlong Mou et al.
Summary of Mtl-split: Multi-task Learning For Edge Devices Using Split Computing, by Luigi Capogrosso et al.
Summary of Kidsat: Satellite Imagery to Map Childhood Poverty Dataset and Benchmark, by Makkunda Sharma et al.
Summary of Leveraging Transformers For Weakly Supervised Object Localization in Unconstrained Videos, by Shakeeb Murtaza et al.
Summary of Variational Best-of-n Alignment, by Afra Amini et al.
Summary of Rethinking Image Skip Connections in Stylegan2, by Seung Park and Yong-goo Shin
Summary of Unmasking Trees For Tabular Data, by Calvin Mccarter
Summary of On the Power Of Convolution Augmented Transformer, by Mingchen Li et al.
Summary of Osn: Infinite Representations Of Dynamic 3d Scenes From Monocular Videos, by Ziyang Song et al.
Summary of On the Complexity Of Learning Sparse Functions with Statistical and Gradient Queries, by Nirmit Joshi et al.
Summary of New Directions in Text Classification Research: Maximizing the Performance Of Sentiment Classification From Limited Data, by Surya Agustian et al.
Summary of Adapi: Facilitating Dnn Model Adaptivity For Efficient Private Inference in Edge Computing, by Tong Zhou and Jiahui Zhao and Yukui Luo and Xi Xie and Wujie Wen and Caiwen Ding and Xiaolin Xu
Summary of The Cooperative Network Architecture: Learning Structured Networks As Representation Of Sensory Patterns, by Pascal J. Sager et al.
Summary of Deep Learning-based Anomaly Detection and Log Analysis For Computer Networks, by Shuzhan Wang and Ruxue Jiang and Zhaoqi Wang and Yan Zhou
Summary of Greener Grass: Enhancing Gnns with Encoding, Rewiring, and Attention, by Tongzhou Liao et al.
Summary of How Dnns Break the Curse Of Dimensionality: Compositionality and Symmetry Learning, by Arthur Jacot et al.
Summary of Multi-label Learning with Random Circular Vectors, by Ken Nishida et al.
Summary of Sub-sa: Strengthen In-context Learning Via Submodular Selective Annotation, by Jian Qian et al.
Summary of On the Limitations Of Compute Thresholds As a Governance Strategy, by Sara Hooker
Summary of Fairpfn: Transformers Can Do Counterfactual Fairness, by Jake Robertson et al.
Summary of Narrowing the Gap Between Adversarial and Stochastic Mdps Via Policy Optimization, by Daniil Tiapkin (cmap et al.
Summary of Regret Analysis Of Multi-task Representation Learning For Linear-quadratic Adaptive Control, by Bruce D. Lee et al.