Paper List

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Summary of Understanding Matrix Function Normalizations in Covariance Pooling Through the Lens Of Riemannian Geometry, by Ziheng Chen et al.
Summary of Learning to Unlearn For Robust Machine Unlearning, by Mark He Huang et al.
Summary of Lightcl: Compact Continual Learning with Low Memory Footprint For Edge Device, by Zeqing Wang et al.
Summary of Leanquant: Accurate and Scalable Large Language Model Quantization with Loss-error-aware Grid, by Tianyi Zhang et al.
Summary of Harnessing Feature Clustering For Enhanced Anomaly Detection with Variational Autoencoder and Dynamic Threshold, by Tolulope Ale (1) et al.
Summary of Mkdti: Predicting Drug-target Interactions Via Multiple Kernel Fusion on Graph Attention Network, by Yuhuan Zhou et al.
Summary of Have Askotch: a Neat Solution For Large-scale Kernel Ridge Regression, by Pratik Rathore et al.
Summary of Optimal Kernel Choice For Score Function-based Causal Discovery, by Wenjie Wang et al.
Summary of A Self-supervised Learning Pipeline For Demographically Fair Facial Attribute Classification, by Sreeraj Ramachandran and Ajita Rattani
Summary of Rapid-seg: Range-aware Pointwise Distance Distribution Networks For 3d Lidar Segmentation, by Li Li et al.
Summary of Unexpected Benefits Of Self-modeling in Neural Systems, by Vickram N. Premakumar et al.
Summary of The Hidden Influence Of Latent Feature Magnitude When Learning with Imbalanced Data, by Damien A. Dablain and Nitesh V. Chawla
Summary of A3s: a General Active Clustering Method with Pairwise Constraints, by Xun Deng et al.
Summary of Improving Graph Out-of-distribution Generalization on Real-world Data, by Can Xu et al.
Summary of Learning to Steer Markovian Agents Under Model Uncertainty, by Jiawei Huang et al.
Summary of On Large Language Model Continual Unlearning, by Chongyang Gao et al.
Summary of Weighted Aggregation Of Conformity Scores For Classification, by Rui Luo and Zhixin Zhou
Summary of Xlstmtime : Long-term Time Series Forecasting with Xlstm, by Musleh Alharthi and Ausif Mahmood
Summary of Asymptotic Normality Of Generalized Low-rank Matrix Sensing Via Riemannian Geometry, by Osbert Bastani
Summary of What Makes and Breaks Safety Fine-tuning? a Mechanistic Study, by Samyak Jain et al.
Summary of Towards Detailed and Interpretable Hybrid Modeling Of Continental-scale Bird Migration, by Fiona Lippert et al.
Summary of Psifx — Psychological and Social Interactions Feature Extraction Package, by Guillaume Rochette and Matthew J. Vowels and Mathieu Rochat
Summary of Enhancing Weakly-supervised Histopathology Image Segmentation with Knowledge Distillation on Mil-based Pseudo-labels, by Yinsheng He et al.
Summary of Explanation Is All You Need in Distillation: Mitigating Bias and Shortcut Learning, by Pedro R. A. S. Bassi et al.
Summary of Graph Transformers: a Survey, by Ahsan Shehzad et al.
Summary of Convex Space Learning For Tabular Synthetic Data Generation, by Manjunath Mahendra et al.
Summary of Team Up Gbdts and Dnns: Advancing Efficient and Effective Tabular Prediction with Tree-hybrid Mlps, by Jiahuan Yan et al.
Summary of Iot-lm: Large Multisensory Language Models For the Internet Of Things, by Shentong Mo et al.
Summary of Text-based Detection Of On-hold Scripts in Contact Center Calls, by Dmitrii Galimzianov et al.
Summary of Towards Understanding Epoch-wise Double Descent in Two-layer Linear Neural Networks, by Amanda Olmin et al.
Summary of Optibench Meets Resocratic: Measure and Improve Llms For Optimization Modeling, by Zhicheng Yang et al.
Summary of Learning a Mini-batch Graph Transformer Via Two-stage Interaction Augmentation, by Wenda Li et al.
Summary of Free-form Grid Structure Form Finding Based on Machine Learning and Multi-objective Optimisation, by Yiping Meng et al.
Summary of Global Reinforcement Learning: Beyond Linear and Convex Rewards Via Submodular Semi-gradient Methods, by Riccardo De Santi et al.
Summary of Metric Learning For Clifford Group Equivariant Neural Networks, by Riccardo Ali et al.
Summary of Evaluating the Impact Of Different Quantum Kernels on the Classification Performance Of Support Vector Machine Algorithm: a Medical Dataset Application, by Emine Akpinar et al.
Summary of Pso Fuzzy Xgboost Classifier Boosted with Neural Gas Features on Eeg Signals in Emotion Recognition, by Seyed Muhammad Hossein Mousavi
Summary of Hydra: Bidirectional State Space Models Through Generalized Matrix Mixers, by Sukjun Hwang et al.
Summary of Lffr: Logistic Function For (single-output) Regression, by John Chiang
Summary of Harvesting Private Medical Images in Federated Learning Systems with Crafted Models, by Shanghao Shi et al.
Summary of On Characterizing and Mitigating Imbalances in Multi-instance Partial Label Learning, by Kaifu Wang et al.
Summary of Fine-grained Analysis Of In-context Linear Estimation: Data, Architecture, and Beyond, by Yingcong Li et al.
Summary of Sim-to-real Domain Adaptation For Deformation Classification, by Joel Sol et al.
Summary of Importance — Machine Learning-driven Analysis Of Global Port Significance and Network Dynamics For Improved Operational Efficiency, by Emanuele Carlini et al.
Summary of Have We Reached Agi? Comparing Chatgpt, Claude, and Gemini to Human Literacy and Education Benchmarks, by Mfon Akpan
Summary of Flash Normalization: Fast Rmsnorm For Llms, by Nils Graef et al.
Summary of Unsupervised Anomaly Detection Using Diffusion Trend Analysis, by Eunwoo Kim et al.
Summary of Diversifying the Expert Knowledge For Task-agnostic Pruning in Sparse Mixture-of-experts, by Zeliang Zhang et al.
Summary of Granger Causality in Extremes, by Juraj Bodik and Olivier C. Pasche
Summary of Seq-to-final: a Benchmark For Tuning From Sequential Distributions to a Final Time Point, by Christina X Ji et al.
Summary of The Heterophilic Graph Learning Handbook: Benchmarks, Models, Theoretical Analysis, Applications and Challenges, by Sitao Luan et al.
Summary of Physics-informed Learning Of Characteristic Trajectories For Smoke Reconstruction, by Yiming Wang et al.
Summary of Boba: Boosting Backdoor Detection Through Data Distribution Inference in Federated Learning, by Ning Wang et al.
Summary of Accelerating the Inference Of String Generation-based Chemical Reaction Models For Industrial Applications, by Mikhail Andronov et al.
Summary of Private Heterogeneous Federated Learning Without a Trusted Server Revisited: Error-optimal and Communication-efficient Algorithms For Convex Losses, by Changyu Gao et al.
Summary of A Mathematical Framework, a Taxonomy Of Modeling Paradigms, and a Suite Of Learning Techniques For Neural-symbolic Systems, by Charles Dickens et al.
Summary of Investigating the Interplay Of Prioritized Replay and Generalization, by Parham Mohammad Panahi et al.
Summary of Rio-cpd: a Riemannian Geometric Method For Correlation-aware Online Change Point Detection, by Chengyuan Deng et al.
Summary of Mseval: a Dataset For Material Selection in Conceptual Design to Evaluate Algorithmic Models, by Yash Patawari Jain et al.
Summary of Optimized Multi-token Joint Decoding with Auxiliary Model For Llm Inference, by Zongyue Qin et al.
Summary of Gofa: a Generative One-for-all Model For Joint Graph Language Modeling, by Lecheng Kong et al.
Summary of On Mitigating Code Llm Hallucinations with Api Documentation, by Nihal Jain et al.
Summary of Active Learning For Derivative-based Global Sensitivity Analysis with Gaussian Processes, by Syrine Belakaria et al.
Summary of The Effectiveness Of Curvature-based Rewiring and the Role Of Hyperparameters in Gnns Revisited, by Floriano Tori et al.
Summary of A Benchmark Environment For Offline Reinforcement Learning in Racing Games, by Girolamo Macaluso et al.
Summary of Meta-analysis with Untrusted Data, by Shiva Kaul et al.
Summary of Foundation Models For the Electric Power Grid, by Hendrik F. Hamann et al.
Summary of Human-like Episodic Memory For Infinite Context Llms, by Zafeirios Fountas et al.
Summary of Beyond Euclid: An Illustrated Guide to Modern Machine Learning with Geometric, Topological, and Algebraic Structures, by Sophia Sanborn et al.
Summary of Weight Block Sparsity: Training, Compilation, and Ai Engine Accelerators, by Paolo D’alberto et al.
Summary of Simplicits: Mesh-free, Geometry-agnostic, Elastic Simulation, by Vismay Modi et al.
Summary of Ot-vp: Optimal Transport-guided Visual Prompting For Test-time Adaptation, by Yunbei Zhang et al.
Summary of Self-consuming Generative Models with Curated Data Provably Optimize Human Preferences, by Damien Ferbach et al.
Summary of Ai-based Copyright Detection Of An Image in a Video Using Degree Of Similarity and Image Hashing, by Ashutosh and Rahul Jashvantbhai Pandya
Summary of Musecl: Predicting Urban Socioeconomic Indicators Via Multi-semantic Contrastive Learning, by Xixian Yong et al.
Summary of Geometric Understanding Of Discriminability and Transferability For Visual Domain Adaptation, by You-wei Luo et al.
Summary of A Deep Learning Framework For Three Dimensional Shape Reconstruction From Phaseless Acoustic Scattering Far-field Data, by Doga Dikbayir et al.
Summary of Bitnet B1.58 Reloaded: State-of-the-art Performance Also on Smaller Networks, by Jacob Nielsen and Peter Schneider-kamp
Summary of Vipro: Enabling and Controlling Video Prediction For Complex Dynamical Scenarios Using Procedural Knowledge, by Patrick Takenaka et al.
Summary of Classification Of Inkjet Printers Based on Droplet Statistics, by Patrick Takenaka et al.
Summary of Predicting Depression and Anxiety Risk in Dutch Neighborhoods From Street-view Images, by Nin Khodorivsko et al.
Summary of Diminishing Stereotype Bias in Image Generation Model Using Reinforcemenlent Learning Feedback, by Xin Chen et al.
Summary of Capm: Fast and Robust Verification on Maxpool-based Cnn Via Dual Network, by Jia-hau Bai et al.
Summary of Evaluating the Adversarial Robustness Of Semantic Segmentation: Trying Harder Pays Off, by Levente Halmosi et al.
Summary of Robust Yet Efficient Conformal Prediction Sets, by Soroush H. Zargarbashi et al.
Summary of Exploring State Space and Reasoning by Elimination in Tsetlin Machines, By Ahmed K. Kadhim et al.
Summary of Se(3)-bi-equivariant Transformers For Point Cloud Assembly, by Ziming Wang et al.
Summary of Variational Inference Via Smoothed Particle Hydrodynamics, by Yongchao Huang
Summary of Conformal Inductive Graph Neural Networks, by Soroush H. Zargarbashi et al.
Summary of Deep Adversarial Defense Against Multilevel-lp Attacks, by Ren Wang et al.
Summary of A Fair Ranking and New Model For Panoptic Scene Graph Generation, by Julian Lorenz et al.
Summary of Inemo: Incremental Neural Mesh Models For Robust Class-incremental Learning, by Tom Fischer et al.
Summary of Unifying Sequences, Structures, and Descriptions For Any-to-any Protein Generation with the Large Multimodal Model Helixprotx, by Zhiyuan Chen et al.
Summary of Learning Distances From Data with Normalizing Flows and Score Matching, by Peter Sorrenson et al.
Summary of H2o-danube3 Technical Report, by Pascal Pfeiffer et al.
Summary of Provable Privacy Advantages Of Decentralized Federated Learning Via Distributed Optimization, by Wenrui Yu et al.
Summary of Any-property-conditional Molecule Generation with Self-criticism Using Spanning Trees, by Alexia Jolicoeur-martineau et al.
Summary of Guidelines For Augmentation Selection in Contrastive Learning For Time Series Classification, by Ziyu Liu et al.
Summary of Novel Clustered Federated Learning Based on Local Loss, by Endong Gu et al.
Summary of Towards Personalised Patient Risk Prediction Using Temporal Hospital Data Trajectories, by Thea Barnes et al.