Paper List

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Summary of Semi-adaptive Synergetic Two-way Pseudoinverse Learning System, by Binghong Liu et al.
Summary of Federated Graph Semantic and Structural Learning, by Wenke Huang et al.
Summary of Evaluating Ai Group Fairness: a Fuzzy Logic Perspective, by Emmanouil Krasanakis et al.
Summary of Alignment For Performance Improvement in Conversation Bots, by Raghav Garg et al.
Summary of Improving Hyperparameter Optimization with Checkpointed Model Weights, by Nikhil Mehta et al.
Summary of Routellm: Learning to Route Llms with Preference Data, by Isaac Ong et al.
Summary of Understand What Llm Needs: Dual Preference Alignment For Retrieval-augmented Generation, by Guanting Dong et al.
Summary of Few-shot Personalization Of Llms with Mis-aligned Responses, by Jaehyung Kim et al.
Summary of The Multilingual Alignment Prism: Aligning Global and Local Preferences to Reduce Harm, by Aakanksha et al.
Summary of Learning to Correct For Qa Reasoning with Black-box Llms, by Jaehyung Kim et al.
Summary of Learn It or Leave It: Module Composition and Pruning For Continual Learning, by Mingyang Wang et al.
Summary of Fast Optimizer Benchmark, by Simon Blauth et al.
Summary of Jailbreaking Llms with Arabic Transliteration and Arabizi, by Mansour Al Ghanim et al.
Summary of Decentralized Semantic Traffic Control in Avs Using Rl and Dqn For Dynamic Roadblocks, by Emanuel Figetakis et al.
Summary of Qbi: Quantile-based Bias Initialization For Efficient Private Data Reconstruction in Federated Learning, by Micha V. Nowak et al.
Summary of Competitive Algorithms For Online Knapsack with Succinct Predictions, by Mohammadreza Daneshvaramoli et al.
Summary of Conformalized Link Prediction on Graph Neural Networks, by Tianyi Zhao et al.
Summary of Wv-net: a Foundation Model For Sar Wv-mode Satellite Imagery Trained Using Contrastive Self-supervised Learning on 10 Million Images, by Yannik Glaser et al.
Summary of Ado-llm: Analog Design Bayesian Optimization with In-context Learning Of Large Language Models, by Yuxuan Yin et al.
Summary of Aligning Model Properties Via Conformal Risk Control, by William Overman et al.
Summary of Psychological Profiling in Cybersecurity: a Look at Llms and Psycholinguistic Features, by Jean Marie Tshimula et al.
Summary of Unified Uncertainties: Combining Input, Data and Model Uncertainty Into a Single Formulation, by Matias Valdenegro-toro and Ivo Pascal De Jong and Marco Zullich
Summary of Operator Learning Of Lipschitz Operators: An Information-theoretic Perspective, by Samuel Lanthaler
Summary of Infinite Width Models That Work: Why Feature Learning Doesn’t Matter As Much As You Think, by Luke Sernau
Summary of Mental Modeling Of Reinforcement Learning Agents by Language Models, By Wenhao Lu et al.
Summary of Apigen: Automated Pipeline For Generating Verifiable and Diverse Function-calling Datasets, by Zuxin Liu et al.
Summary of Symbolic Learning Enables Self-evolving Agents, by Wangchunshu Zhou et al.
Summary of Visual Analysis Of Prediction Uncertainty in Neural Networks For Deep Image Synthesis, by Soumya Dutta and Faheem Nizar and Ahmad Amaan and Ayan Acharya
Summary of Towards Compositionality in Concept Learning, by Adam Stein et al.
Summary of Selmatch: Effectively Scaling Up Dataset Distillation Via Selection-based Initialization and Partial Updates by Trajectory Matching, By Yongmin Lee and Hye Won Chung
Summary of Memorized Images in Diffusion Models Share a Subspace That Can Be Located and Deleted, by Ruchika Chavhan and Ondrej Bohdal and Yongshuo Zong and Da Li and Timothy Hospedales
Summary of Views Can Be Deceiving: Improved Ssl Through Feature Space Augmentation, by Kimia Hamidieh et al.
Summary of A Diagnostic Model For Acute Lymphoblastic Leukemia Using Metaheuristics and Deep Learning Methods, by Amir Masoud Rahmani et al.
Summary of Georeasoner: Geo-localization with Reasoning in Street Views Using a Large Vision-language Model, by Ling Li et al.
Summary of Unsupervised Few-shot Continual Learning For Remote Sensing Image Scene Classification, by Muhammad Anwar Ma’sum et al.
Summary of Research on Driver Facial Fatigue Detection Based on Yolov8 Model, by Chang Zhou et al.
Summary of Shedding Light on Large Generative Networks: Estimating Epistemic Uncertainty in Diffusion Models, by Lucas Berry et al.
Summary of Varying Manifolds in Diffusion: From Time-varying Geometries to Visual Saliency, by Junhao Chen et al.
Summary of Text-guided Alternative Image Clustering, by Andreas Stephan et al.
Summary of Lumina-next: Making Lumina-t2x Stronger and Faster with Next-dit, by Le Zhuo et al.
Summary of Composition Vision-language Understanding Via Segment and Depth Anything Model, by Mingxiao Huo et al.
Summary of Optimal Spanning Tree Reconstruction in Symbolic Regression, by Radoslav G. Neychev et al.
Summary of Step-dpo: Step-wise Preference Optimization For Long-chain Reasoning Of Llms, by Xin Lai et al.
Summary of Evaluating Copyright Takedown Methods For Language Models, by Boyi Wei et al.
Summary of Improving Eo Foundation Models with Confidence Assessment For Enhanced Semantic Segmentation, by Nikolaos Dionelis et al.
Summary of Combining Automated Optimisation Of Hyperparameters and Reward Shape, by Julian Dierkes et al.
Summary of Evaluating and Benchmarking Foundation Models For Earth Observation and Geospatial Ai, by Nikolaos Dionelis et al.
Summary of Automated Immunophenotyping Assessment For Diagnosing Childhood Acute Leukemia Using Set-transformers, by Elpiniki Maria Lygizou et al.
Summary of Spatial-temporal Hierarchical Reinforcement Learning For Interpretable Pathology Image Super-resolution, by Wenting Chen et al.
Summary of Contactnet: Geometric-based Deep Learning Model For Predicting Protein-protein Interactions, by Matan Halfon et al.
Summary of Online Learning Of Multiple Tasks and Their Relationships : Testing on Spam Email Data and Eeg Signals Recorded in Construction Fields, by Yixin Jin et al.
Summary of Molecular Diffusion Models with Virtual Receptors, by Matan Halfon et al.
Summary of Efficient and Accurate Explanation Estimation with Distribution Compression, by Hubert Baniecki et al.
Summary of Emt: a Novel Transformer For Generalized Cross-subject Eeg Emotion Recognition, by Yi Ding et al.
Summary of Reinforcement Learning with Intrinsically Motivated Feedback Graph For Lost-sales Inventory Control, by Zifan Liu et al.
Summary of Kolmogorov-arnold Graph Neural Networks, by Gianluca De Carlo et al.
Summary of Kagnns: Kolmogorov-arnold Networks Meet Graph Learning, by Roman Bresson and Giannis Nikolentzos and George Panagopoulos and Michail Chatzianastasis and Jun Pang and Michalis Vazirgiannis
Summary of Do Llms Dream Of Elephants (when Told Not To)? Latent Concept Association and Associative Memory in Transformers, by Yibo Jiang et al.
Summary of Doubletake: Geometry Guided Depth Estimation, by Mohamed Sayed and Filippo Aleotti and Jamie Watson and Zawar Qureshi and Guillermo Garcia-hernando and Gabriel Brostow and Sara Vicente and Michael Firman
Summary of Mixture Of Experts in a Mixture Of Rl Settings, by Timon Willi et al.
Summary of Towards Diffusion Models For Large-scale Sea-ice Modelling, by Tobias Sebastian Finn et al.
Summary of Graph Neural Networks For Emulation Of Finite-element Ice Dynamics in Greenland and Antarctic Ice Sheets, by Younghyun Koo et al.
Summary of An Autotuning-based Optimization Framework For Mixed-kernel Svm Classifications in Smart Pixel Datasets and Heterojunction Transistors, by Xingfu Wu and Tupendra Oli and Justin H. Qian and Valerie Taylor and Mark C. Hersam and Vinod K. Sangwan
Summary of Enhancing Federated Learning with Adaptive Differential Privacy and Priority-based Aggregation, by Mahtab Talaei et al.
Summary of Genrl: Multimodal-foundation World Models For Generalization in Embodied Agents, by Pietro Mazzaglia et al.
Summary of Bidirectional-reachable Hierarchical Reinforcement Learning with Mutually Responsive Policies, by Yu Luo et al.
Summary of Adazeta: Adaptive Zeroth-order Tensor-train Adaption For Memory-efficient Large Language Models Fine-tuning, by Yifan Yang et al.
Summary of Breaking the Barrier: Enhanced Utility and Robustness in Smoothed Drl Agents, by Chung-en Sun et al.
Summary of Learning Optimal Filters Using Variational Inference, by Enoch Luk et al.
Summary of Token-weighted Rnn-t For Learning From Flawed Data, by Gil Keren et al.
Summary of Learning For Bandits Under Action Erasures, by Osama Hanna et al.
Summary of Arzen-llm: Code-switched Egyptian Arabic-english Translation and Speech Recognition Using Llms, by Ahmed Heakl et al.
Summary of Robust Personnel Rostering: How Accurate Should Absenteeism Predictions Be?, by Martina Doneda et al.
Summary of Resumeatlas: Revisiting Resume Classification with Large-scale Datasets and Large Language Models, by Ahmed Heakl et al.
Summary of Cts: Sim-to-real Unsupervised Domain Adaptation on 3d Detection, by Meiying Zhang et al.
Summary of Sequential Disentanglement by Extracting Static Information From a Single Sequence Element, By Nimrod Berman et al.
Summary of Sparse Deep Neural Networks For Nonparametric Estimation in High-dimensional Sparse Regression, by Dongya Wu and Xin Li
Summary of Nebula: a Discourse Aware Minecraft Builder, by Akshay Chaturvedi et al.
Summary of Fedaq: Communication-efficient Federated Edge Learning Via Joint Uplink and Downlink Adaptive Quantization, by Linping Qu et al.
Summary of Deepextremecubes: Integrating Earth System Spatio-temporal Data For Impact Assessment Of Climate Extremes, by Chaonan Ji et al.
Summary of Selective Prompting Tuning For Personalized Conversations with Llms, by Qiushi Huang et al.
Summary of A Closer Look Into Mixture-of-experts in Large Language Models, by Ka Man Lo et al.
Summary of Guiding Video Prediction with Explicit Procedural Knowledge, by Patrick Takenaka et al.
Summary of Foundational Models For Pathology and Endoscopy Images: Application For Gastric Inflammation, by Hamideh Kerdegari et al.
Summary of Sigkan: Signature-weighted Kolmogorov-arnold Networks For Time Series, by Hugo Inzirillo and Remi Genet
Summary of Entity Augmentation For Efficient Classification Of Vertically Partitioned Data with Limited Overlap, by Avi Amalanshu et al.
Summary of Efficient and Effective Implicit Dynamic Graph Neural Network, by Yongjian Zhong et al.
Summary of Camera Model Identification Using Audio and Visual Content From Videos, by Ioannis Tsingalis et al.
Summary of Graphsnapshot: Caching Local Structure For Fast Graph Learning, by Dong Liu et al.
Summary of Cat: Interpretable Concept-based Taylor Additive Models, by Viet Duong et al.
Summary of Hot-distance: Combining One-hot and Signed Distance Embeddings For Segmentation, by Marwan Zouinkhi et al.
Summary of Navigating High-degree Heterogeneity: Federated Learning in Aerial and Space Networks, by Fan Dong et al.
Summary of The Overcooked Generalisation Challenge, by Constantin Ruhdorfer and Matteo Bortoletto and Anna Penzkofer and Andreas Bulling
Summary of Linscan — a Linearity Based Clustering Algorithm, by Andrew Dennehy et al.
Summary of Why Line Search When You Can Plane Search? So-friendly Neural Networks Allow Per-iteration Optimization Of Learning and Momentum Rates For Every Layer, by Betty Shea et al.
Summary of Labor-llm: Language-based Occupational Representations with Large Language Models, by Susan Athey et al.
Summary of Empowering Interdisciplinary Insights with Dynamic Graph Embedding Trajectories, by Yiqiao Jin et al.
Summary of Sok: Membership Inference Attacks on Llms Are Rushing Nowhere (and How to Fix It), by Matthieu Meeus et al.
Summary of Learning Neural Networks with Sparse Activations, by Pranjal Awasthi et al.
Summary of Explicit Diversity Conditions For Effective Question Answer Generation with Large Language Models, by Vikas Yadav and Hyuk Joon Kwon and Vijay Srinivasan and Hongxia Jin