Search research

Topics & fields

Large Language Model Evaluation245 papersUnified Evaluation222 papersJailbreak Evaluations184 papersAgentic Evaluations149 papersArtificial Intelligence Evaluation134 papersAdversarial Evaluation114 papersEvaluation Benchmarks96 papersSafety Evaluation84 papersEvaluation Metrics76 papersOff-Policy Evaluation70 papersMultimodal Evaluation67 papersUnified Evaluation66 papers

24,811–24,840 of 24,951

Papers

CardsList

  1. OGM-CBF: Occupancy Grid Map-based Control Barrier Function for Safe Mobile Robot Control with Memory of out of View Obstacles

    May 17, 2024Golnaz Raja, Miloš Prágr, Topi Reino Johannes Kärki +2Control Barrier FunctionsObstacle Avoidance

  2. Measuring Model-Induced Discrimination via Efficient Fairness Approximation

    May 15, 2024Yijun Bian, Yujie LuoDiscriminative ModelsMachine Learning

  3. Explainable Convolutional Neural Networks for Retinal Fundus Classification and Cutting-Edge Segmentation Models for Retinal Blood Vessels from Fundus Images

    May 12, 2024Fatema Tuj Johora Faria, Mukaffi Bin Moin, Pronay Debnath +2Retinal Vessel SegmentationFundus Images

  4. Generated Contents Enrichment

    May 6, 2024Mahdi Naseri, Jiayan Qiu, Zhou WangEnrichment

  5. Neural Dynamic Data Valuation via Stochastic State-Adjoint Trajectories

    Apr 30, 2024Zhangyong Liang, Ji Zhang, Huanhuan GaoCoalition FormationValue

  6. Realistic Continual Learning Approach using Pre-trained Models

    Apr 11, 2024Nadia Nasri, Carlos Gutiérrez-Álvarez, Sergio Lafuente-Arroyo +2Efficient Continual LearningContinual Learning Methods

  7. Efficient Concertormer for Image Deblurring and Beyond

    Apr 9, 2024Pin-Hung Kuo, Jinshan Pan, Shao-Yi Chien +1Self-Supervised Vision TransformersMotion Blur

  8. Perturbation Effects on Robustness and Individual Fairness

    Apr 1, 2024Xuran Li, Hao Xue, Peng Wu +4Fairness-Aware LearningPerturbations

  9. Learn Once, Edit Anywhere: Visual Direction Transfer for Diffusion Models

    Mar 28, 2024Yusuf Dalva, Hidir Yesiltepe, Pinar YanardagDiffusion EditingImage Editing

  10. Estimation of multiple mean vectors in high dimension

    Mar 22, 2024Gilles Blanchard, Jean-Baptiste Fermanian, Hannah MarienwaldEstimators

  11. SSM Meets Video Diffusion Models: Efficient Long-Term Video Generation with Structured State Spaces

    Mar 12, 2024Yuta Oshima, Shohei Taniguchi, Masahiro Suzuki +1Video DatasetState Space Models

  12. PQMass: Probabilistic Assessment of the Quality of Generative Models using Probability Mass Estimation

    Feb 6, 2024Pablo Lemos, Sammy Sharief, Esmeralda S. Whitammer +4Generative ModelsData Quality

  13. HiQA: A Hierarchical Contextual Augmentation RAG for Multi-Documents QA

    Feb 1, 2024Xinyue Chen, Pengyu Gao, Jiangjiang Song +1Multi-Hop Question Answering BenchmarksMultimodal Documents

  14. TERC: A Transfer Entropy Redundancy Criterion for State Variable Selection in Reinforcement Learning

    Jan 21, 2024Charles Westphal, Stephen Hailes, Mirco MusolesiEntropy Regularized Reinforcement LearningProximal Policy Optimization

  15. The TopCoW Challenge -- Topology-Aware Circle of Willis Segmentation for CT and MR Angiography

    Dec 29, 2023Kaiyuan Yang, Fabio Musio, Yihui Ma +112AnatomyVoxel

  16. Partial Symmetry Detection for 3D Geometry using Contrastive Learning with Geodesic Point Cloud Patches

    Dec 13, 2023Gregor Kobsik, Isaak Lim, Leif KobbeltSymmetry3D Geometry

  17. SparseGS: Sparse View Synthesis using 3D Gaussian Splatting

    Nov 30, 2023Haolin Xiong, Sairisheek Muttukuru, Hanyuan Xiao +43D Gaussian SplatsNovel View Synthesis

  18. Full-resolution MLPs Empower Medical Dense Prediction

    Nov 28, 2023Mingyuan Meng, Yuxin Xue, Dagan Feng +2Dense PredictionHybrid Transformer

  19. Uncertainty Quantification in Machine Learning for Biosignal Applications -- A Review

    Nov 15, 2023Ivo Pascal de Jong, Andreea Ioana Sburlea, Matias Valdenegro-ToroMultimodal Physiological SignalsReliable Uncertainty Quantification

  20. DIRA-SS:Dynamic Domain Incremental Regularised Adaptation -- Self-Supervised

    Nov 13, 2023Abanoub Ghobrial, Kerstin EderDomain AdaptationSelf-Supervised

  21. Robust Recurrent Reinforcement Learning under Evolving Hidden Disturbances with Application to Rover Wheel Slip

    Jul 29, 2023Saki Omi, Hyo-Sang Shin, Namhoon Cho +2Iterative Reinforcement LearningDeep Reinforcement Learning

  22. A Differentially Private Weighted Empirical Risk Minimization Procedure and its Application to Outcome Weighted Learning

    Jul 24, 2023Spencer Giddens, Yiwang Zhou, Kevin R. Krull +3Differential PrivacyEmpirical Risk Minimization

  23. Topology-Guided Modular Actor-Critic Learning for Continuous Systems under Temporal Objectives

    Apr 20, 2023Lening Li, Zhentian Qian, Jianan Xia +7Soft Actor-CriticModel-Free Reinforcement Learning

  24. InferNet: Exploiting Aggregate GPU Profiles as Side-Channel for DNN Architecture Inference

    Apr 6, 2023Raja Hasnain Anwar, Jonah O'Brien Weiss, Tiago Alves +1Graph Neural Network InferenceNeural Architectures

  25. Privacy-Preserving Logistic Regression Training with A Faster Gradient Variant

    Jan 26, 2022John ChiangPrivacy-Preserving FrameworkGradient Descent

  26. Beyond Interestingness: Semantic and Context-Aware Natural Language Query Recommendations for Visual Data Analysis

    Jan 13, 2022Xingbo Wang, Siyuan Li, Furui Cheng +5Natural Language QueriesComplex Query Answering

  27. Ensemble Learning Based Classification Algorithm Recommendation

    Jan 15, 2021Guangtao Wang, Qinbao Song, Xiaoyan Zhu +1EnsembleSequential Recommendation

  28. CatSIM: A Categorical Image Similarity Metric

    Apr 20, 2020Geoffrey Z. Thompson, Ranjan MaitraImage Quality Assessment

  29. ExpTest: Loss-Curve Hypothesis Testing for Autonomous Learning-Rate Selection in Deep Neural Networks

    Date pendingZan Chaudhry, Naoko MizunoLearning RatesHyperparameter Optimization

  30. From Bench-to-Bedside: A Review of Clinical Trials in Drug Discovery and Development

    Date pendingTianyang Wang, Ming Liu, Benji Peng +17Drug DiscoveryRegulation