Paper List

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Summary of Utilizing Maximum Mean Discrepancy Barycenter For Propagating the Uncertainty Of Value Functions in Reinforcement Learning, by Srinjoy Roy et al.
Summary of Meta Learning in Bandits Within Shared Affine Subspaces, by Steven Bilaj et al.
Summary of Survey Of Computerized Adaptive Testing: a Machine Learning Perspective, by Qi Liu et al.
Summary of C-xgboost: a Tree Boosting Model For Causal Effect Estimation, by Niki Kiriakidou et al.
Summary of Planning and Editing What You Retrieve For Enhanced Tool Learning, by Tenghao Huang et al.
Summary of Quarot: Outlier-free 4-bit Inference in Rotated Llms, by Saleh Ashkboos et al.
Summary of Zero-shot Safety Prediction For Autonomous Robots with Foundation World Models, by Zhenjiang Mao et al.
Summary of Addressing Both Statistical and Causal Gender Fairness in Nlp Models, by Hannah Chen et al.
Summary of Leveraging Pre-trained and Transformer-derived Embeddings From Ehrs to Characterize Heterogeneity Across Alzheimer’s Disease and Related Dementias, by Matthew West et al.
Summary of Computation and Communication Efficient Lightweighting Vertical Federated Learning, by Heqiang Wang et al.
Summary of Linguistic Calibration Of Long-form Generations, by Neil Band and Xuechen Li and Tengyu Ma and Tatsunori Hashimoto
Summary of Convolutional Bayesian Filtering, by Wenhan Cao et al.
Summary of De-hnn: An Effective Neural Model For Circuit Netlist Representation, by Zhishang Luo et al.
Summary of Cross-lingual Named Entity Corpus For Slavic Languages, by Jakub Piskorski et al.
Summary of Noise-aware Training Of Layout-aware Language Models, by Ritesh Sarkhel et al.
Summary of Prompt-saw: Leveraging Relation-aware Graphs For Textual Prompt Compression, by Muhammad Asif Ali et al.
Summary of Multi-hop Question Answering Under Temporal Knowledge Editing, by Keyuan Cheng et al.
Summary of 94% on Cifar-10 in 3.29 Seconds on a Single Gpu, by Keller Jordan
Summary of Conditional Pseudo-reversible Normalizing Flow For Surrogate Modeling in Quantifying Uncertainty Propagation, by Minglei Yang et al.
Summary of Label-agnostic Forgetting: a Supervision-free Unlearning in Deep Models, by Shaofei Shen et al.
Summary of Transfer Learning with Reconstruction Loss, by Wei Cui and Wei Yu
Summary of Dailymae: Towards Pretraining Masked Autoencoders in One Day, by Jiantao Wu et al.
Summary of Chain: Enhancing Generalization in Data-efficient Gans Via Lipschitz Continuity Constrained Normalization, by Yao Ni et al.
Summary of Creating Synthetic Energy Meter Data Using Conditional Diffusion and Building Metadata, by Chun Fu et al.
Summary of Heterogeneous Contrastive Learning For Foundation Models and Beyond, by Lecheng Zheng et al.
Summary of Partially-observable Sequential Change-point Detection For Autocorrelated Data Via Upper Confidence Region, by Haijie Xu et al.
Summary of Inflora: Interference-free Low-rank Adaptation For Continual Learning, by Yan-shuo Liang et al.
Summary of Attention-based Shape-deformation Networks For Artifact-free Geometry Reconstruction Of Lumbar Spine From Mr Images, by Linchen Qian et al.
Summary of Clustering For Protein Representation Learning, by Ruijie Quan et al.
Summary of Yolooc: Yolo-based Open-class Incremental Object Detection with Novel Class Discovery, by Qian Wan et al.
Summary of Tg-nas: Leveraging Zero-cost Proxies with Transformer and Graph Convolution Networks For Efficient Neural Architecture Search, by Ye Qiao et al.
Summary of Dilm: Distilling Dataset Into Language Model For Text-level Dataset Distillation, by Aru Maekawa et al.
Summary of A Hybrid Transformer and Attention Based Recurrent Neural Network For Robust and Interpretable Sentiment Analysis Of Tweets, by Md Abrar Jahin et al.
Summary of Survey on Large Language Model-enhanced Reinforcement Learning: Concept, Taxonomy, and Methods, by Yuji Cao et al.
Summary of Clip-driven Outliers Synthesis For Few-shot Ood Detection, by Hao Sun et al.
Summary of From Learning to Analytics: Improving Model Efficacy with Goal-directed Client Selection, by Jingwen Tong et al.
Summary of Revisiting Random Weight Perturbation For Efficiently Improving Generalization, by Tao Li et al.
Summary of Constrained Layout Generation with Factor Graphs, by Mohammed Haroon Dupty et al.
Summary of Aurora-m: Open Source Continual Pre-training For Multilingual Language and Code, by Taishi Nakamura et al.
Summary of Deep Learning with Parametric Lenses, by Geoffrey S. H. Cruttwell et al.
Summary of Svgcraft: Beyond Single Object Text-to-svg Synthesis with Comprehensive Canvas Layout, by Ayan Banerjee et al.
Summary of Orchestrate Latent Expertise: Advancing Online Continual Learning with Multi-level Supervision and Reverse Self-distillation, by Hongwei Yan et al.
Summary of Continual Learning For Autonomous Robots: a Prototype-based Approach, by Elvin Hajizada et al.
Summary of Shortcuts Arising From Contrast: Effective and Covert Clean-label Attacks in Prompt-based Learning, by Xiaopeng Xie et al.
Summary of Localising the Seizure Onset Zone From Single-pulse Electrical Stimulation Responses with a Cnn Transformer, by Jamie Norris et al.
Summary of Unsolvable Problem Detection: Evaluating Trustworthiness Of Vision Language Models, by Atsuyuki Miyai et al.
Summary of Realm: Reference Resolution As Language Modeling, by Joel Ruben Antony Moniz et al.
Summary of Deja Vu: Contrastive Historical Modeling with Prefix-tuning For Temporal Knowledge Graph Reasoning, by Miao Peng et al.
Summary of Missing Data Imputation with Granular Semantics and Ai-driven Pipeline For Bankruptcy Prediction, by Debarati Chakraborty and Ravi Ranjan
Summary of A Two-phase Recall-and-select Framework For Fast Model Selection, by Jianwei Cui et al.
Summary of A Finite Operator Learning Technique For Mapping the Elastic Properties Of Microstructures to Their Mechanical Deformations, by Shahed Rezaei et al.
Summary of Bayesian Nonparametrics: An Alternative to Deep Learning, by Bahman Moraffah
Summary of Pikelpn: Mitigating Overlooked Inefficiencies Of Low-precision Neural Networks, by Marina Neseem et al.
Summary of Does Faithfulness Conflict with Plausibility? An Empirical Study in Explainable Ai Across Nlp Tasks, by Xiaolei Lu et al.
Summary of Fisbe: a Real-world Benchmark Dataset For Instance Segmentation Of Long-range Thin Filamentous Structures, by Lisa Mais et al.
Summary of Modeling Large-scale Walking and Cycling Networks: a Machine Learning Approach Using Mobile Phone and Crowdsourced Data, by Meead Saberi and Tanapon Lilasathapornkit
Summary of Individual Text Corpora Predict Openness, Interests, Knowledge and Level Of Education, by Markus J. Hofmann et al.
Summary of Universal Bovine Identification Via Depth Data and Deep Metric Learning, by Asheesh Sharma et al.
Summary of Comparing Hyper-optimized Machine Learning Models For Predicting Efficiency Degradation in Organic Solar Cells, by David Valiente et al.
Summary of Multi-region Transfer Learning For Segmentation Of Crop Field Boundaries in Satellite Images with Limited Labels, by Hannah Kerner et al.
Summary of Multiple-policy Evaluation Via Density Estimation, by Yilei Chen et al.
Summary of Causal Inference For Human-language Model Collaboration, by Bohan Zhang et al.
Summary of Functional-edged Network Modeling, by Haijie Xu and Chen Zhang
Summary of Multi-conditional Ranking with Large Language Models, by Pouya Pezeshkpour et al.
Summary of Mol-air: Molecular Reinforcement Learning with Adaptive Intrinsic Rewards For Goal-directed Molecular Generation, by Jinyeong Park et al.
Summary of Learning Using Granularity Statistical Invariants For Classification, by Ting-ting Zhu et al.
Summary of Tfb: Towards Comprehensive and Fair Benchmarking Of Time Series Forecasting Methods, by Xiangfei Qiu et al.
Summary of Caesar: Enhancing Federated Rl in Heterogeneous Mdps Through Convergence-aware Sampling with Screening, by Hei Yi Mak et al.
Summary of Conformal Prediction For Stochastic Decision-making Of Pv Power in Electricity Markets, by Yvet Renkema et al.
Summary of Enhancing Lithological Mapping with Spatially Constrained Bayesian Network (scb-net): An Approach For Field Data-constrained Predictions with Uncertainty Evaluation, by Victor Silva Dos Santos et al.
Summary of Unleashing the Potential Of Large Language Models For Predictive Tabular Tasks in Data Science, by Yazheng Yang et al.
Summary of On Size and Hardness Generalization in Unsupervised Learning For the Travelling Salesman Problem, by Yimeng Min et al.
Summary of Graph Neural Aggregation-diffusion with Metastability, by Kaiyuan Cui et al.
Summary of Functional Bilevel Optimization For Machine Learning, by Ieva Petrulionyte et al.
Summary of Enhancing Dimension-reduced Scatter Plots with Class and Feature Centroids, by Daniel B. Hier et al.
Summary of Optimal Policy Learning with Observational Data in Multi-action Scenarios: Estimation, Risk Preference, and Potential Failures, by Giovanni Cerulli
Summary of Medclip-sam: Bridging Text and Image Towards Universal Medical Image Segmentation, by Taha Koleilat et al.
Summary of Using Llms to Model the Beliefs and Preferences Of Targeted Populations, by Keiichi Namikoshi et al.
Summary of Latxa: An Open Language Model and Evaluation Suite For Basque, by Julen Etxaniz et al.
Summary of Elitr-bench: a Meeting Assistant Benchmark For Long-context Language Models, by Thibaut Thonet et al.
Summary of Sparsely Multimodal Data Fusion, by Josiah Bjorgaard
Summary of Layernorm: a Key Component in Parameter-efficient Fine-tuning, by Taha Valizadehaslani et al.
Summary of Benchmarking Counterfactual Image Generation, by Thomas Melistas et al.
Summary of Mtlora: a Low-rank Adaptation Approach For Efficient Multi-task Learning, by Ahmed Agiza et al.
Summary of Towards a Robust Retrieval-based Summarization System, by Shengjie Liu et al.
Summary of Disentangling Racial Phenotypes: Fine-grained Control Of Race-related Facial Phenotype Characteristics, by Seyma Yucer et al.
Summary of Mango: a Benchmark For Evaluating Mapping and Navigation Abilities Of Large Language Models, by Peng Ding and Jiading Fang and Peng Li and Kangrui Wang and Xiaochen Zhou and Mo Yu and Jing Li and Matthew R. Walter and Hongyuan Mei
Summary of Beyond the Known: Novel Class Discovery For Open-world Graph Learning, by Yucheng Jin and Yun Xiong and Juncheng Fang and Xixi Wu and Dongxiao He and Xing Jia and Bingchen Zhao and Philip Yu
Summary of Decision Mamba: Reinforcement Learning Via Sequence Modeling with Selective State Spaces, by Toshihiro Ota
Summary of Dijiang: Efficient Large Language Models Through Compact Kernelization, by Hanting Chen et al.
Summary of Tdanet: a Novel Temporal Denoise Convolutional Neural Network with Attention For Fault Diagnosis, by Zhongzhi Li et al.
Summary of Coverage-guaranteed Prediction Sets For Out-of-distribution Data, by Xin Zou et al.
Summary of Fairrag: Fair Human Generation Via Fair Retrieval Augmentation, by Robik Shrestha et al.
Summary of Enhancing the General Agent Capabilities Of Low-parameter Llms Through Tuning and Multi-branch Reasoning, by Qinhao Zhou et al.
Summary of Separate, Dynamic and Differentiable (smart) Pruner For Block/output Channel Pruning on Computer Vision Tasks, by Guanhua Ding et al.
Summary of Semantically-shifted Incremental Adapter-tuning Is a Continual Vitransformer, by Yuwen Tan et al.
Summary of Deepheteroiot: Deep Local and Global Learning Over Heterogeneous Iot Sensor Data, by Muhammad Sakib Khan Inan et al.
Summary of A Novel Decision Fusion Approach For Sale Price Prediction Using Elastic Net and Mopso, by Amir Eshaghi Chaleshtori
Summary of On Large Language Models’ Hallucination with Regard to Known Facts, by Che Jiang et al.
Summary of Embracing Unknown Step by Step: Towards Reliable Sparse Training in Real World, By Bowen Lei et al.