mlsanityData to 14 Oct 2026

Papers

New on arXiv

Tue 18 Jan 2022

143 papers

  1. Language Models as Zero-Shot Planners: Extracting Actionable Knowledge for Embodied AgentsLLM agents and tool use → Multimodal and embodied agents
  2. Combining Fast and Slow Thinking for Human-like and Efficient Navigation in Constrained EnvironmentsLLM reasoning → Test-time compute and efficient thinking
  3. It's All in the Head: Representation Knowledge Distillation through Classifier SharingKnowledge distillation → General knowledge distillation methods
  4. Ray Based Distributed Autonomous Vehicle Research PlatformOffline RL and imitation learning from data → Imitation and offline RL for driving
  5. COPA-SSE: Semi-structured Explanations for Commonsense ReasoningLLM reasoning → Reasoning benchmarks and evaluation
  6. Cross-modal Contrastive Distillation for Instructional Activity AnticipationKnowledge distillation → Multimodal distillation
  7. Solving Dynamic Principal-Agent Problems with a Rationally Inattentive Principal
  8. Network-based link prediction of scientific concepts -- a Science4Cast competition entry
  9. A Non-Expert's Introduction to Data Ethics for Mathematicians
  10. Sandbox Sample Classification Using Behavioral Indicators of Compromise
  11. Weakly Supervised Contrastive Learning for Better Severity Scoring of Lung Ultrasound
  12. Learning Tensor Representations for Meta-Learning
  13. Lung Swapping Autoencoder: Learning a Disentangled Structure-texture Representation of Chest Radiographs
  14. A Deep Learning Approach for Semantic Segmentation of Unbalanced Data in Electron Tomography of Catalytic Materials
  15. Learning grammar with a divide-and-concur neural network
  16. Transparent Single-Cell Set Classification with Kernel Mean Embeddings
  17. A Privacy-Preserving Unsupervised Domain Adaptation Framework for Clinical Text Analysis
  18. Towards Federated Clustering: A Federated Fuzzy c-Means Algorithm (FFCM)
  19. OSSID: Online Self-Supervised Instance Detection by (and for) Pose Estimation
  20. Bregman Deviations of Generic Exponential Families
  21. Convergence of Policy Gradient for Entropy Regularized MDPs with Neural Network Approximation in the Mean-Field Regime
  22. Sparsification of Decomposable Submodular Functions
  23. Extending the Vocabulary of Fictional Languages using Neural Networks
  24. Conservative Distributional Reinforcement Learning with Safety Constraints
  25. TranAD: Deep Transformer Networks for Anomaly Detection in Multivariate Time Series Data
  26. Annotating the Tweebank Corpus on Named Entity Recognition and Building NLP Models for Social Media Analysis
  27. AI-based Carcinoma Detection and Classification Using Histopathological Images: A Systematic Review
  28. Minimax Optimality (Probably) Doesn't Imply Distribution Learning for GANs
  29. Emergent Instabilities in Algorithmic Feedback Loops
  30. GANmouflage: 3D Object Nondetection with Texture Fields
  31. Bridging the Language Gap: An Empirical Study of Bindings for Open Source Machine Learning Libraries Across Software Package Ecosystems
  32. Optimizing Active Learning for Low Annotation Budgets
  33. Invariant Representation Driven Neural Classifier for Anti-QCD Jet Tagging
  34. Klexikon: A German Dataset for Joint Summarization and Simplification
  35. MUSE-VAE: Multi-Scale VAE for Environment-Aware Long Term Trajectory Prediction
  36. Low Regret Binary Sampling Method for Efficient Global Optimization of Univariate Functions
  37. Safe Online Bid Optimization with Return on Investment and Budget Constraints
  38. Incompleteness of graph neural networks for points clouds in three dimensions
  39. Synthesizing explainable counterfactual policies for algorithmic recourse with program synthesis
  40. Leveraging Real Talking Faces via Self-Supervision for Robust Forgery Detection
  41. Online, Informative MCMC Thinning with Kernelized Stein Discrepancy
  42. Instance-aware Prompt Learning for Language Understanding and Generation
  43. WATCH: Wasserstein Change Point Detection for High-Dimensional Time Series Data
  44. Attentional Feature Refinement and Alignment Network for Aircraft Detection in SAR Imagery
  45. Contextual road lane and symbol generation for autonomous driving
  46. Sectioning of Biomedical Abstracts: A Sequence of Sequence Classification Task
  47. Variational Inference for Quantifying Inter-observer Variability in Segmentation of Anatomical Structures
  48. What Makes the Story Forward? Inferring Commonsense Explanations as Prompts for Future Event Generation
  49. Lifelong Dynamic Optimization for Self-Adaptive Systems: Fact or Fiction?
  50. K-nearest Multi-agent Deep Reinforcement Learning for Collaborative Tasks with a Variable Number of Agents
  51. A Short Tutorial on The Weisfeiler-Lehman Test And Its Variants
  52. Inducing Structure in Reward Learning by Learning Features
  53. Who Increases Emergency Department Use? New Insights from the Oregon Health Insurance Experiment
  54. Attention-based Proposals Refinement for 3D Object Detection
  55. Joint denoising and HDR for RAW video sequences
  56. How to Backdoor HyperNetwork in Personalized Federated Learning?
  57. Differentially Private Reinforcement Learning with Linear Function Approximation
  58. System-Agnostic Meta-Learning for MDP-based Dynamic Scheduling via Descriptive Policy
  59. Benchmark datasets driving artificial intelligence development fail to capture the needs of medical professionals
  60. Socioeconomic disparities and COVID-19: the causal connections
  61. MuSCLe: A Multi-Strategy Contrastive Learning Framework for Weakly Supervised Semantic Segmentation
  62. Accelerating Representation Learning with View-Consistent Dynamics in Data-Efficient Reinforcement Learning
  63. Deep Cervix Model Development from Heterogeneous and Partially Labeled Image Datasets
  64. Adversarial vulnerability of powerful near out-of-distribution detection
  65. Spiker: an FPGA-optimized Hardware acceleration for Spiking Neural Networks
  66. Knock Detection in Combustion Engine Time Series Using a Theory-Guided 1D Convolutional Neural Network Approach
  67. On the Equivalence of Causal Models: A Category-Theoretic Approach
  68. ASOCEM: Automatic Segmentation Of Contaminations in cryo-EM
  69. Continual Coarse-to-Fine Domain Adaptation in Semantic Segmentation
  70. Representation Learning on Heterostructures via Heterogeneous Anonymous Walks
  71. AI for Closed-Loop Control Systems -- New Opportunities for Modeling, Designing, and Tuning Control Systems
  72. AI-Aided Integrated Terrestrial and Non-Terrestrial 6G Solutions for Sustainable Maritime Networking
  73. Context-Aware Scene Prediction Network (CASPNet)
  74. Deep Equilibrium Models for Video Snapshot Compressive Imaging
  75. ZeroPrompt: Scaling Prompt-Based Pretraining to 1,000 Tasks Improves Zero-Shot Generalization
  76. Improve Sentence Alignment by Divide-and-conquer
  77. Boosting Robustness of Image Matting with Context Assembling and Strong Data Augmentation
  78. Autoencoding Video Latents for Adversarial Video Generation
  79. Continual Learning for CTR Prediction: A Hybrid Approach
  80. Evidence-aware Fake News Detection with Graph Neural Networks
  81. Temperature Field Inversion of Heat-Source Systems via Physics-Informed Neural Networks
  82. Hardware-Efficient Deconvolution-Based GAN for Edge Computing
  83. Frequent Itemset-driven Search for Finding Minimum Node Separators in Complex Networks
  84. Syntax-based data augmentation for Hungarian-English machine translation
  85. Deep Graph Convolutional Network and LSTM based approach for predicting drug-target binding affinity
  86. A Study on the Ambiguity in Human Annotation of German Oral History Interviews for Perceived Emotion Recognition and Sentiment Analysis
  87. Programmatic Policy Extraction by Iterative Local Search
  88. A Knowledge-driven Business Process Analysis Canvas
  89. RePre: Improving Self-Supervised Vision Transformer with Reconstructive Pre-training
  90. Convergence of a robust deep FBSDE method for stochastic control
  91. Toward Self-learning End-to-End Task-Oriented Dialog Systems
  92. High-Level Synthesis Performance Prediction using GNNs: Benchmarking, Modeling, and Advancing
  93. Taylor3DNet: Fast 3D Shape Inference With Landmark Points Based Taylor Series
  94. Surrogate-assisted distributed swarm optimisation for computationally expensive geoscientific models
  95. Human and Automatic Speech Recognition Performance on German Oral History Interviews
  96. Landslide Susceptibility Modeling by Interpretable Neural Network
  97. Hyper-Tune: Towards Efficient Hyper-parameter Tuning at Scale
  98. Deep Learning Based Framework for Iranian License Plate Detection and Recognition
  99. STURE: Spatial-Temporal Mutual Representation Learning for Robust Data Association in Online Multi-Object Tracking
  100. Adaptive Weighted Guided Image Filtering for Depth Enhancement in Shape-From-Focus
All 143
  1. Nonparametric Feature Selection by Random Forests and Deep Neural Networks
  2. Recommendation Unlearning
  3. Leaving No One Behind: A Multi-Scenario Multi-Task Meta Learning Approach for Advertiser Modeling
  4. Tutela: An Open-Source Tool for Assessing User-Privacy on Ethereum and Tornado Cash
  5. An Efficient Hashing-based Ensemble Method for Collaborative Outlier Detection
  6. Pistol: Pupil Invisible Supportive Tool to extract Pupil, Iris, Eye Opening, Eye Movements, Pupil and Iris Gaze Vector, and 2D as well as 3D Gaze
  7. CoAuthor: Designing a Human-AI Collaborative Writing Dataset for Exploring Language Model Capabilities
  8. Resistance Training using Prior Bias: toward Unbiased Scene Graph Generation
  9. Unsupervised Multimodal Word Discovery based on Double Articulation Analysis with Co-occurrence cues
  10. Label-dependent and event-guided interpretable disease risk prediction using EHRs
  11. When Facial Expression Recognition Meets Few-Shot Learning: A Joint and Alternate Learning Framework
  12. Asymptotic self-similar blow-up profile for three-dimensional axisymmetric Euler equations using neural networks
  13. Label Dependent Attention Model for Disease Risk Prediction Using Multimodal Electronic Health Records
  14. Data-Driven Deep Learning Based Hybrid Beamforming for Aerial Massive MIMO-OFDM Systems with Implicit CSI
  15. Pruning-aware Sparse Regularization for Network Pruning
  16. Deformable One-Dimensional Object Detection for Routing and Manipulation
  17. Hierarchical Neural Network Approaches for Long Document Classification
  18. TaxoCom: Topic Taxonomy Completion with Hierarchical Discovery of Novel Topic Clusters
  19. DEFER: Distributed Edge Inference for Deep Neural Networks
  20. Online Time Series Anomaly Detection with State Space Gaussian Processes
  21. Knowledge Sharing via Domain Adaptation in Customs Fraud Detection
  22. Active Learning for Open-set Annotation
  23. Dilated Convolutional Neural Networks for Lightweight Diacritics Restoration
  24. DDU-Net: Dual-Decoder-U-Net for Road Extraction Using High-Resolution Remote Sensing Images
  25. Machine learning prediction for mean motion resonance behaviour -- The planar case
  26. HashSet -- A Dataset For Hashtag Segmentation
  27. Convolutional Cobweb: A Model of Incremental Learning from 2D Images
  28. Dialog Intent Induction via Density-based Deep Clustering Ensemble
  29. Youling: an AI-Assisted Lyrics Creation System
  30. Emojis as Anchors to Detect Arabic Offensive Language and Hate Speech
  31. Selecting and combining complementary feature representations and classifiers for hate speech detection
  32. GTrans: Spatiotemporal Autoregressive Transformer with Graph Embeddings for Nowcasting Extreme Events
  33. AdaTerm: Adaptive T-Distribution Estimated Robust Moments for Noise-Robust Stochastic Gradient Optimization
  34. Learning to Approximate: Auto Direction Vector Set Generation for Hypervolume Contribution Approximation
  35. Design Space Exploration of Dense and Sparse Mapping Schemes for RRAM Architectures
  36. Motion Inbetweening via Deep Delta-Interpolator
  37. Benchmarking Subset Selection from Large Candidate Solution Sets in Evolutionary Multi-objective Optimization
  38. AESPA: Accuracy Preserving Low-degree Polynomial Activation for Fast Private Inference
  39. ProposalCLIP: Unsupervised Open-Category Object Proposal Generation via Exploiting CLIP Cues
  40. Explainable Decision Making with Lean and Argumentative Explanations
  41. Unpaired Referring Expression Grounding via Bidirectional Cross-Modal Matching
  42. Observing how deep neural networks understand physics through the energy spectrum of one-dimensional quantum mechanics
  43. TYPIC: A Corpus of Template-Based Diagnostic Comments on Argumentation