Paper List

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Summary of Energy-based Preference Model Offers Better Offline Alignment Than the Bradley-terry Preference Model, by Yuzhong Hong et al.
Summary of Constructing Sensible Baselines For Integrated Gradients, by Jai Bardhan et al.
Summary of Graph-driven Models For Gas Mixture Identification and Concentration Estimation on Heterogeneous Sensor Array Signals, by Ding Wang et al.
Summary of Shap Scores Fail Pervasively Even When Lipschitz Succeeds, by Olivier Letoffe et al.
Summary of Data-efficient Inference Of Neural Fluid Fields Via Sciml Foundation Model, by Yuqiu Liu et al.
Summary of Threshold Neuron: a Brain-inspired Artificial Neuron For Efficient On-device Inference, by Zihao Zheng et al.
Summary of Pipeline Analysis For Developing Instruct Llms in Low-resource Languages: a Case Study on Basque, by Ander Corral and Ixak Sarasua and Xabier Saralegi
Summary of Escapebench: Pushing Language Models to Think Outside the Box, by Cheng Qian and Peixuan Han and Qinyu Luo and Bingxiang He and Xiusi Chen and Yuji Zhang and Hongyi Du and Jiarui Yao and Xiaocheng Yang and Denghui Zhang and Yunzhu Li and Heng Ji
Summary of Multi-view Granular-ball Contrastive Clustering, by Peng Su et al.
Summary of Indirect Query Bayesian Optimization with Integrated Feedback, by Mengyan Zhang et al.
Summary of Powermlp: An Efficient Version Of Kan, by Ruichen Qiu and Yibo Miao and Shiwen Wang and Lijia Yu and Yifan Zhu and Xiao-shan Gao
Summary of Semidfl: a Semi-supervised Paradigm For Decentralized Federated Learning, by Xinyang Liu et al.
Summary of Pasco (parallel Structured Coarsening): An Overlay to Speed Up Graph Clustering Algorithms, by Etienne Lasalle (ockham) et al.
Summary of Premixer: Mlp-based Pre-training Enhanced Mlp-mixers For Large-scale Traffic Forecasting, by Tongtong Zhang et al.
Summary of Unifying Attribution-based Explanations Using Functional Decomposition, by Arne Gevaert et al.
Summary of Taudiff: Highly Efficient Kilometer-scale Downscaling Using Generative Diffusion Models, by Rahul Sundar et al.
Summary of When Should We Prefer State-to-visual Dagger Over Visual Reinforcement Learning?, by Tongzhou Mu et al.
Summary of Time-reversible Bridges Of Data with Machine Learning, by Ludwig Winkler
Summary of Exploring Multi-modal Integration with Tool-augmented Llm Agents For Precise Causal Discovery, by Chengao Shen et al.
Summary of Antileak-bench: Preventing Data Contamination by Automatically Constructing Benchmarks with Updated Real-world Knowledge, By Xiaobao Wu et al.
Summary of On Enhancing Root Cause Analysis with Sql Summaries For Failures in Database Workload Replays at Sap Hana, by Neetha Jambigi et al.
Summary of Personalized Clustering Via Targeted Representation Learning, by Xiwen Geng et al.
Summary of Anchorinv: Few-shot Class-incremental Learning Of Physiological Signals Via Representation Space Guided Inversion, by Chenqi Li et al.
Summary of Sse-sam: Balancing Head and Tail Classes Gradually Through Stage-wise Sam, by Xingyu Lyu et al.
Summary of Usefuse: Utile Stride For Enhanced Performance in Fused Layer Architecture Of Deep Neural Networks, by Muhammad Sohail Ibrahim and Muhammad Usman and Jeong-a Lee
Summary of Uncertainty Separation Via Ensemble Quantile Regression, by Navid Ansari et al.
Summary of Optimal Exact Recovery in Semi-supervised Learning: a Study Of Spectral Methods and Graph Convolutional Networks, by Hai-xiao Wang et al.
Summary of Beyond Accuracy: on the Effects Of Fine-tuning Towards Vision-language Model’s Prediction Rationality, by Qitong Wang et al.
Summary of Concept-rot: Poisoning Concepts in Large Language Models with Model Editing, by Keltin Grimes et al.
Summary of Wind Speed Forecasting Based on Data Decomposition and Deep Learning Models: a Case Study Of a Wind Farm in Saudi Arabia, by Yasmeen Aldossary and Nabil Hewahi and Abdulla Alasaadi
Summary of A Novel Machine Learning Classifier Based on Genetic Algorithms and Data Importance Reformatting, by A. K. Alkhayyata and N. M. Hewahi
Summary of Marigold-dc: Zero-shot Monocular Depth Completion with Guided Diffusion, by Massimiliano Viola et al.
Summary of Distribution Shifts at Scale: Out-of-distribution Detection in Earth Observation, by Burak Ekim et al.
Summary of Maskhand: Generative Masked Modeling For Robust Hand Mesh Reconstruction in the Wild, by Muhammad Usama Saleem et al.
Summary of Lightweight Safety Classification Using Pruned Language Models, by Mason Sawtell et al.
Summary of Rare Event Detection in Imbalanced Multi-class Datasets Using An Optimal Mip-based Ensemble Weighting Approach, by Georgios Tertytchny et al.
Summary of Federated Unlearning Model Recovery in Data with Skewed Label Distributions, by Xinrui Yu et al.
Summary of Communication-efficient Personalized Federal Graph Learning Via Low-rank Decomposition, by Ruyue Liu et al.
Summary of Socialed: a Python Library For Social Event Detection, by Kun Zhang et al.
Summary of Federated T-sne and Umap For Distributed Data Visualization, by Dong Qiao et al.
Summary of Efficient Fine-tuning Of Single-cell Foundation Models Enables Zero-shot Molecular Perturbation Prediction, by Sepideh Maleki et al.
Summary of Learning Causal Transition Matrix For Instance-dependent Label Noise, by Jiahui Li et al.
Summary of Open-source Protein Language Models For Function Prediction and Protein Design, by Shivasankaran Vanaja Pandi et al.
Summary of Fine-tuning Aligned Classifiers For Merging Outputs: Towards a Superior Evaluation Protocol in Model Merging, by Fanshuang Kong et al.
Summary of Information-theoretic Generative Clustering Of Documents, by Xin Du et al.
Summary of Quantum Machine Learning in Log-based Anomaly Detection: Challenges and Opportunities, by Jiaxing Qi et al.
Summary of Spatio-temporal Fuzzy-oriented Multi-modal Meta-learning For Fine-grained Emotion Recognition, by Jingyao Wang et al.
Summary of On Model Extrapolation in Marginal Shapley Values, by Ilya Rozenfeld
Summary of Banglishrev: a Large-scale Bangla-english and Code-mixed Dataset Of Product Reviews in E-commerce, by Mohammad Nazmush Shamael et al.
Summary of A Conformal Approach to Feature-based Newsvendor Under Model Misspecification, by Junyu Cao
Summary of Tilted Quantile Gradient Updates For Quantile-constrained Reinforcement Learning, by Chenglin Li et al.
Summary of Orformer: Occlusion-robust Transformer For Accurate Facial Landmark Detection, by Jui-che Chiang et al.
Summary of Handsonvlm: Vision-language Models For Hand-object Interaction Prediction, by Chen Bao et al.
Summary of Cross-table Synthetic Tabular Data Detection, by G. Charbel N. Kindji (lacodam) et al.
Summary of Proposer-agent-evaluator(pae): Autonomous Skill Discovery For Foundation Model Internet Agents, by Yifei Zhou et al.
Summary of Training Verification-friendly Neural Networks Via Neuron Behavior Consistency, by Zongxin Liu et al.
Summary of Content-aware Balanced Spectrum Encoding in Masked Modeling For Time Series Classification, by Yudong Han et al.
Summary of Cosee: Consistency-oriented Signal-based Early Exiting Via Calibrated Sample Weighting Mechanism, by Jianing He et al.
Summary of Enhancing Internet Of Things Security Throughself-supervised Graph Neural Networks, by Safa Ben Atitallah et al.
Summary of Gpgym: a Remote Service Platform with Gaussian Process Regression For Online Learning, by Xiaobing Dai et al.
Summary of Posterior Mean Matching: Generative Modeling Through Online Bayesian Inference, by Sebastian Salazar et al.
Summary of Fastvlm: Efficient Vision Encoding For Vision Language Models, by Pavan Kumar Anasosalu Vasu et al.
Summary of Interpretable Deformable Image Registration: a Geometric Deep Learning Perspective, by Vasiliki Sideri-lampretsa et al.
Summary of Automated Phytosensing: Ozone Exposure Classification Based on Plant Electrical Signals, by Till Aust and Eduard Buss and Felix Mohr and Heiko Hamann
Summary of Losslens: Diagnostics For Machine Learning Through Loss Landscape Visual Analytics, by Tiankai Xie et al.
Summary of Expansion Span: Combining Fading Memory and Retrieval in Hybrid State Space Models, by Elvis Nunez et al.
Summary of Unveiling the Secret Recipe: a Guide For Supervised Fine-tuning Small Llms, by Aldo Pareja et al.
Summary of Finegates: Llms Finetuning with Compression Using Stochastic Gates, by Jonathan Svirsky et al.
Summary of Efficient Diffusion Transformer Policies with Mixture Of Expert Denoisers For Multitask Learning, by Moritz Reuss et al.
Summary of On Local Overfitting and Forgetting in Deep Neural Networks, by Uri Stern et al.
Summary of Archesweather & Archesweathergen: a Deterministic and Generative Model For Efficient Ml Weather Forecasting, by Guillaume Couairon et al.
Summary of Cluster-guided Contrastive Class-imbalanced Graph Classification, by Wei Ju et al.
Summary of Neural Control and Certificate Repair Via Runtime Monitoring, by Emily Yu et al.
Summary of Deep Learning Based Superconductivity: Prediction and Experimental Tests, by Daniel Kaplan et al.
Summary of Boosting Test Performance with Importance Sampling–a Subpopulation Perspective, by Hongyu Shen and Zhizhen Zhao
Summary of Queries, Representation & Detection: the Next 100 Model Fingerprinting Schemes, by Augustin Godinot et al.
Summary of Relational Neurosymbolic Markov Models, by Lennert De Smet et al.
Summary of Open-set Heterogeneous Domain Adaptation: Theoretical Analysis and Algorithm, by Thai-hoang Pham et al.
Summary of Modality-inconsistent Continual Learning Of Multimodal Large Language Models, by Weiguo Pian et al.
Summary of On the Hardness Of Training Deep Neural Networks Discretely, by Ilan Doron-arad
Summary of Vidtok: a Versatile and Open-source Video Tokenizer, by Anni Tang et al.
Summary of Predicting Change, Not States: An Alternate Framework For Neural Pde Surrogates, by Anthony Zhou and Amir Barati Farimani
Summary of Identifying Bias in Deep Neural Networks Using Image Transforms, by Sai Teja Erukude et al.
Summary of Reservoir Computing For Fast, Simplified Reinforcement Learning on Memory Tasks, by Kevin Mckee
Summary of Incremental Online Learning Of Randomized Neural Network with Forward Regularization, by Junda Wang et al.
Summary of Active Reinforcement Learning Strategies For Offline Policy Improvement, by Ambedkar Dukkipati et al.
Summary of Swan: Sgd with Normalization and Whitening Enables Stateless Llm Training, by Chao Ma et al.
Summary of Progressive Monitoring Of Generative Model Training Evolution, by Vidya Prasad et al.
Summary of Versatile Ordering Network: An Attention-based Neural Network For Ordering Across Scales and Quality Metrics, by Zehua Yu et al.
Summary of Multi-view Incremental Learning with Structured Hebbian Plasticity For Enhanced Fusion Efficiency, by Yuhong Chen et al.
Summary of Scrutinizing the Vulnerability Of Decentralized Learning to Membership Inference Attacks, by Ousmane Touat et al.
Summary of Benchmarking and Understanding Compositional Relational Reasoning Of Llms, by Ruikang Ni et al.
Summary of Boosting Fine-grained Visual Anomaly Detection with Coarse-knowledge-aware Adversarial Learning, by Qingqing Fang et al.
Summary of Efficient Speech Command Recognition Leveraging Spiking Neural Network and Curriculum Learning-based Knowledge Distillation, by Jiaqi Wang et al.
Summary of Geodesic Flow Kernels For Semi-supervised Learning on Mixed-variable Tabular Dataset, by Yoontae Hwang et al.
Summary of Towards Physically Interpretable World Models: Meaningful Weakly Supervised Representations For Visual Trajectory Prediction, by Zhenjiang Mao and Ivan Ruchkin
Summary of Towards Effective Graph Rationalization Via Boosting Environment Diversity, by Yujie Wang et al.
Summary of A Comparative Study Of Pruning Methods in Transformer-based Time Series Forecasting, by Nicholas Kiefer et al.
Summary of Timecheat: a Channel Harmony Strategy For Irregularly Sampled Multivariate Time Series Analysis, by Jiexi Liu et al.
Summary of Suppressing Uncertainty in Gaze Estimation, by Shijing Wang et al.