mlsanityData to 14 Oct 2026

Papers

New on arXiv

Thu 23 Jun 2022

162 papers

  1. Knowledge Distillation via Weighted Ensemble of Teaching AssistantsKnowledge distillation → General knowledge distillation methods
  2. DDPM-CD: Denoising Diffusion Probabilistic Models as Feature Extractors for Change DetectionDiffusion models → Inverse problems and image restoration
  3. Video PreTraining (VPT): Learning to Act by Watching Unlabeled Online VideosOffline RL and imitation learning from data → Imitation learning methods
  4. Entropy-driven Sampling and Training Scheme for Conditional Diffusion GenerationDiffusion models → Diffusion foundations and sampling
  5. The MuSe 2022 Multimodal Sentiment Analysis Challenge: Humor, Emotional Reactions, and Stress
  6. WeShort: Out-of-distribution Detection With Weak Shortcut structure
  7. Proposal and Verification of Novel Machine Learning on Classification Problems
  8. Experts' View on Challenges and Needs for Fairness in Artificial Intelligence for Education
  9. Breaking Bad News in the Era of Artificial Intelligence and Algorithmic Medicine: An Exploration of Disclosure and its Ethical Justification using the Hedonic Calculus
  10. LBDMIDS: LSTM Based Deep Learning Model for Intrusion Detection Systems for IoT Networks
  11. Evaluating Generative Patent Language Models
  12. Epidemic Control Modeling using Parsimonious Models and Markov Decision Processes
  13. Comparing informativeness of an NLG chatbot vs graphical app in diet-information domain
  14. The DEBS 2022 Grand Challenge: Detecting Trading Trends in Financial Tick Data
  15. Pruned RNN-T for fast, memory-efficient ASR training
  16. Conformer Based Elderly Speech Recognition System for Alzheimer's Disease Detection
  17. QbyE-MLPMixer: Query-by-Example Open-Vocabulary Keyword Spotting using MLPMixer
  18. Modeling Continuous Time Sequences with Intermittent Observations using Marked Temporal Point Processes
  19. A Novel Multi-Agent Scheduling Mechanism for Adaptation of Production Plans in Case of Supply Chain Disruptions
  20. Intelligent Request Strategy Design in Recommender System
  21. InfoAT: Improving Adversarial Training Using the Information Bottleneck Principle
  22. A Design of A Simple Yet Effective Exercise Recommendation System in K-12 Online Learning
  23. Content Popularity Prediction Based on Quantized Federated Bayesian Learning in Fog Radio Access Networks
  24. A Manifold-based Airfoil Geometric-feature Extraction and Discrepant Data Fusion Learning Method
  25. Indecision Trees: Learning Argument-Based Reasoning under Quantified Uncertainty
  26. Adversarial Zoom Lens: A Novel Physical-World Attack to DNNs
  27. CoSP: Co-supervised pretraining of pocket and ligand
  28. Three Applications of Conformal Prediction for Rating Breast Density in Mammography
  29. Sampling Enclosing Subgraphs for Link Prediction
  30. STREAMLINE: A Simple, Transparent, End-To-End Automated Machine Learning Pipeline Facilitating Data Analysis and Algorithm Comparison
  31. The Real Deal: A Review of Challenges and Opportunities in Moving Reinforcement Learning-Based Traffic Signal Control Systems Towards Reality
  32. Efficient and Accurate Top-K Recovery from Choice Data
  33. A Disability Lens towards Biases in GPT-3 Generated Open-Ended Languages
  34. Equiformer: Equivariant Graph Attention Transformer for 3D Atomistic Graphs
  35. On making optimal transport robust to all outliers
  36. Never trust, always verify : a roadmap for Trustworthy AI?
  37. Task-Adaptive Few-shot Node Classification
  38. Learning quantum symmetries with interactive quantum-classical variational algorithms
  39. Similarity-aware Positive Instance Sampling for Graph Contrastive Pre-training
  40. Do Trajectories Encode Verb Meaning?
  41. UNeRF: Time and Memory Conscious U-Shaped Network for Training Neural Radiance Fields
  42. TIAger: Tumor-Infiltrating Lymphocyte Scoring in Breast Cancer for the TiGER Challenge
  43. Affinity-Aware Graph Networks
  44. World Value Functions: Knowledge Representation for Learning and Planning
  45. Measuring Representational Robustness of Neural Networks Through Shared Invariances
  46. Towards Galaxy Foundation Models with Hybrid Contrastive Learning
  47. Set Norm and Equivariant Skip Connections: Putting the Deep in Deep Sets
  48. Worldwide AI Ethics: a review of 200 guidelines and recommendations for AI governance
  49. Agriculture-Vision Challenge 2022 -- The Runner-Up Solution for Agricultural Pattern Recognition via Transformer-based Models
  50. ASTERYX : A model-Agnostic SaT-basEd appRoach for sYmbolic and score-based eXplanations
  51. EventNeRF: Neural Radiance Fields from a Single Colour Event Camera
  52. Learning Viewpoint-Agnostic Visual Representations by Recovering Tokens in 3D Space
  53. MaskViT: Masked Visual Pre-Training for Video Prediction
  54. On the Parameterization and Initialization of Diagonal State Space Models
  55. Provably Efficient Model-Free Constrained RL with Linear Function Approximation
  56. VRKitchen2.0-IndoorKit: A Tutorial for Augmented Indoor Scene Building in Omniverse
  57. On the Generalizability and Predictability of Recommender Systems
  58. Predicting the meal macronutrient composition from continuous glucose monitors
  59. A Topological characterisation of Weisfeiler-Leman equivalence classes
  60. Sample Condensation in Online Continual Learning
  61. Quant-BnB: A Scalable Branch-and-Bound Method for Optimal Decision Trees with Continuous Features
  62. Non-Determinism and the Lawlessness of Machine Learning Code
  63. On Avoiding Power-Seeking by Artificial Intelligence
  64. Toward Clinically Assisted Colorectal Polyp Recognition via Structured Cross-modal Representation Consistency
  65. YOLOSA: Object detection based on 2D local feature superimposed self-attention
  66. Formalizing the Problem of Side Effect Regularization
  67. Inductive Conformal Prediction: A Straightforward Introduction with Examples in Python
  68. Unseen Object 6D Pose Estimation: A Benchmark and Baselines
  69. Rethinking Surgical Instrument Segmentation: A Background Image Can Be All You Need
  70. Authentication of Copy Detection Patterns under Machine Learning Attacks: A Supervised Approach
  71. Two-dimensional total absorption spectroscopy with conditional generative adversarial networks
  72. Open-source FPGA-ML codesign for the MLPerf Tiny Benchmark
  73. Chasing Convex Bodies and Functions with Black-Box Advice
  74. Graph Neural Networks for Temperature-Dependent Activity Coefficient Prediction of Solutes in Ionic Liquids
  75. Single-phase deep learning in cortico-cortical networks
  76. FitGAN: Fit- and Shape-Realistic Generative Adversarial Networks for Fashion
  77. Physics-Informed Statistical Modeling for Wildfire Aerosols Process Using Multi-Source Geostationary Satellite Remote-Sensing Data Streams
  78. What makes you, you? Analyzing Recognition by Swapping Face Parts
  79. Measuring the Feasibility of Analogical Transfer using Complexity
  80. CLAMP: Prompt-based Contrastive Learning for Connecting Language and Animal Pose
  81. Classical surrogates for quantum learning models
  82. Evidence fusion with contextual discounting for multi-modality medical image segmentation
  83. NovelCraft: A Dataset for Novelty Detection and Discovery in Open Worlds
  84. Walk the Random Walk: Learning to Discover and Reach Goals Without Supervision
  85. BERT Rankers are Brittle: a Study using Adversarial Document Perturbations
  86. Self-Supervised Training with Autoencoders for Visual Anomaly Detection
  87. Measurement and applications of position bias in a marketplace search engine
  88. AST-Probe: Recovering abstract syntax trees from hidden representations of pre-trained language models
  89. Deep Reinforcement Learning-Assisted Federated Learning for Robust Short-term Utility Demand Forecasting in Electricity Wholesale Markets
  90. Reinforcement Learning under Partial Observability Guided by Learned Environment Models
  91. A Temporal Extension of Latent Dirichlet Allocation for Unsupervised Acoustic Unit Discovery
  92. Efficient Transformer-based Speech Enhancement Using Long Frames and STFT Magnitudes
  93. NTIRE 2022 Challenge on Perceptual Image Quality Assessment
  94. Learning Agile Skills via Adversarial Imitation of Rough Partial Demonstrations
  95. Theory-Grounded Measurement of U.S. Social Stereotypes in English Language Models
  96. A generalised form for a homogeneous population of structures using an overlapping mixture of Gaussian processes
  97. EFFGAN: Ensembles of fine-tuned federated GANs
  98. Capacity Optimality of OAMP in Coded Large Unitarily Invariant Systems
  99. BlazePose GHUM Holistic: Real-time 3D Human Landmarks and Pose Estimation
  100. Sufficient Statistic Memory Approximate Message Passing
All 162
  1. Is your model predicting the past?
  2. Short-range forecasts of global precipitation using deep learning-augmented numerical weather prediction
  3. Warped Convolutional Networks: Bridge Homography to sl(3) algebra by Group Convolution
  4. Optimizing Two-way Partial AUC with an End-to-end Framework
  5. Learning To Generate Scene Graph from Head to Tail
  6. Invariant Causal Mechanisms through Distribution Matching
  7. Global Sensing and Measurements Reuse for Image Compressed Sensing
  8. Waypoint Generation in Row-based Crops with Deep Learning and Contrastive Clustering
  9. Improving decision-making via risk-based active learning: Probabilistic discriminative classifiers
  10. Constructing Cross-lingual Consumer Health Vocabulary with Word-Embedding from Comparable User Generated Content
  11. 1st Place Solutions for RxR-Habitat Vision-and-Language Navigation Competition (CVPR 2022)
  12. Prototype-Anchored Learning for Learning with Imperfect Annotations
  13. Disentangling representations in Restricted Boltzmann Machines without adversaries
  14. Universal Learned Image Compression With Low Computational Cost
  15. Two-pass Decoding and Cross-adaptation Based System Combination of End-to-end Conformer and Hybrid TDNN ASR Systems
  16. Learning Towards the Largest Margins
  17. Optimization paper production through digitalization by developing an assistance system for machine operators including quality forecast: a concept
  18. Human-in-the-Loop Large-Scale Predictive Maintenance of Workstations
  19. Few-Shot Non-Parametric Learning with Deep Latent Variable Model
  20. Mining Error Templates for Grammatical Error Correction
  21. LED: Latent Variable-based Estimation of Density
  22. A Geometric Method for Improved Uncertainty Estimation in Real-time
  23. Rethinking Collaborative Metric Learning: Toward an Efficient Alternative without Negative Sampling
  24. Demographic Parity Constrained Minimax Optimal Regression under Linear Model
  25. A Neuromorphic Vision-Based Measurement for Robust Relative Localization in Future Space Exploration Missions
  26. A Model-Agnostic SAT-based Approach for Symbolic Explanation Enumeration
  27. Stochastic Langevin Differential Inclusions with Applications to Machine Learning
  28. Explanatory causal effects for model agnostic explanations
  29. A Survey on Learnable Evolutionary Algorithms for Scalable Multiobjective Optimization
  30. Low-Rank Mirror-Prox for Nonsmooth and Low-Rank Matrix Optimization Problems
  31. ICOS Protein Expression Segmentation: Can Transformer Networks Give Better Results?
  32. Utilizing Expert Features for Contrastive Learning of Time-Series Representations
  33. plingo: A system for probabilistic reasoning in clingo based on lpmln
  34. Quantum Approximation of Normalized Schatten Norms and Applications to Learning
  35. A Review of Published Machine Learning Natural Language Processing Applications for Protocolling Radiology Imaging
  36. A novel adversarial learning strategy for medical image classification
  37. Parallel Structure from Motion for UAV Images via Weighted Connected Dominating Set
  38. CGAR: Critic Guided Action Redistribution in Reinforcement Leaning
  39. Learning to Refactor Action and Co-occurrence Features for Temporal Action Localization
  40. Gradual Domain Adaptation via Normalizing Flows
  41. Nearly Minimax Optimal Reinforcement Learning with Linear Function Approximation
  42. On the Importance and Applicability of Pre-Training for Federated Learning
  43. Patient Aware Active Learning for Fine-Grained OCT Classification
  44. Towards WinoQueer: Developing a Benchmark for Anti-Queer Bias in Large Language Models
  45. A Novel Algorithm for Exact Concave Hull Extraction
  46. A Framework for Understanding Model Extraction Attack and Defense
  47. RetroGraph: Retrosynthetic Planning with Graph Search
  48. Dynamic Scene Deblurring Based on Continuous Cross-Layer Attention Transmission
  49. Complementary datasets to COCO for object detection
  50. Predicting the Geoeffectiveness of CMEs Using Machine Learning
  51. Modular Conformal Calibration
  52. ICME 2022 Few-shot LOGO detection top 9 solution
  53. Towards Better User Studies in Computer Graphics and Vision
  54. pyKT: A Python Library to Benchmark Deep Learning based Knowledge Tracing Models
  55. Explore Spatio-temporal Aggregation for Insubstantial Object Detection: Benchmark Dataset and Baseline
  56. Weighted Concordance Index Loss-based Multimodal Survival Modeling for Radiation Encephalopathy Assessment in Nasopharyngeal Carcinoma Radiotherapy
  57. Efficient Adaptive Federated Optimization of Federated Learning for IoT
  58. Image-based Stability Quantification
  59. Context matters for fairness -- a case study on the effect of spatial distribution shifts
  60. Shilling Black-box Recommender Systems by Learning to Generate Fake User Profiles
  61. Recursive Reinforcement Learning
  62. LidarMultiNet: Unifying LiDAR Semantic Segmentation, 3D Object Detection, and Panoptic Segmentation in a Single Multi-task Network