mlsanityData to 14 Oct 2026

Papers

New on arXiv

Thu 8 Apr 2021

176 papers

  1. Bayesian Variational Federated Learning and Unlearning in Decentralized NetworksLLM safety and security → Federated unlearning and poisoning
  2. On tuning consistent annealed sampling for denoising score matchingDiffusion models → Diffusion foundations and sampling
  3. GKD: Semi-supervised Graph Knowledge Distillation for Graph-Independent InferenceKnowledge distillation → Graph neural network distillation
  4. Zero-bias Deep Learning Enabled Quick and Reliable Abnormality Detection in IoT
  5. Layer Reduction: Accelerating Conformer-Based Self-Supervised Model via Layer Consistency
  6. Multi-Density Attention Network for Loop Filtering in Video Compression
  7. Rethinking and Improving the Robustness of Image Style Transfer
  8. Neural Network for Weighted Signal Temporal Logic
  9. Predicting the Reproducibility of Social and Behavioral Science Papers Using Supervised Learning Models
  10. A Theoretical Analysis of Learning with Noisily Labeled Data
  11. Auxiliary Tasks and Exploration Enable ObjectNav
  12. A Design Space Study for LISTA and Beyond
  13. XFORMAL: A Benchmark for Multilingual Formality Style Transfer
  14. FACESEC: A Fine-grained Robustness Evaluation Framework for Face Recognition Systems
  15. Risk-Aware Lane Selection on Highway with Dynamic Obstacles
  16. Image-based Virtual Fitting Room
  17. Causal Decision Making and Causal Effect Estimation Are Not the Same... and Why It Matters
  18. Grapheme-to-Phoneme Transformer Model for Transfer Learning Dialects
  19. A Sketch-Based Neural Model for Generating Commit Messages from Diffs
  20. Direct-PoseNet: Absolute Pose Regression with Photometric Consistency
  21. Generative Landmarks
  22. AlephBERT:A Hebrew Large Pre-Trained Language Model to Start-off your Hebrew NLP Application With
  23. Flavored Tacotron: Conditional Learning for Prosodic-linguistic Features
  24. Quantum-Assisted Feature Selection for Vehicle Price Prediction Modeling
  25. Heterogeneous Dense Subhypergraph Detection
  26. Semi-Supervised Learning of Classifiers from a Statistical Perspective: A Brief Review
  27. CLVSA: A Convolutional LSTM Based Variational Sequence-to-Sequence Model with Attention for Predicting Trends of Financial Markets
  28. Scaling up graph homomorphism for classification via sampling
  29. Optimal Market Making by Reinforcement Learning
  30. TRiPOD: Human Trajectory and Pose Dynamics Forecasting in the Wild
  31. Fast Regression of the Tritium Breeding Ratio in Fusion Reactors
  32. Improving Solar Cell Metallization Designs using Convolutional Neural Networks
  33. CutPaste: Self-Supervised Learning for Anomaly Detection and Localization
  34. Re-designing cities with conditional adversarial networks
  35. Handling Climate Change Using Counterfactuals: Using Counterfactuals in Data Augmentation to Predict Crop Growth in an Uncertain Climate Future
  36. DenResCov-19: A deep transfer learning network for robust automatic classification of COVID-19, pneumonia, and tuberculosis from X-rays
  37. ACERAC: Efficient reinforcement learning in fine time discretization
  38. Software/Hardware Co-design for Multi-modal Multi-task Learning in Autonomous Systems
  39. Deep Indexed Active Learning for Matching Heterogeneous Entity Representations
  40. Dynamic Surface Function Networks for Clothed Human Bodies
  41. Detecting of a Patient's Condition From Clinical Narratives Using Natural Language Representation
  42. Learning optical flow from still images
  43. Handwriting Transformers
  44. InfinityGAN: Towards Infinite-Pixel Image Synthesis
  45. Panoptic Segmentation Forecasting
  46. Generalized Approach to Matched Filtering using Neural Networks
  47. Modulated Periodic Activations for Generalizable Local Functional Representations
  48. GrASP: A Library for Extracting and Exploring Human-Interpretable Textual Patterns
  49. Just Label What You Need: Fine-Grained Active Selection for Perception and Prediction through Partially Labeled Scenes
  50. De-rendering the World's Revolutionary Artefacts
  51. SNARF: Differentiable Forward Skinning for Animating Non-Rigid Neural Implicit Shapes
  52. Dataset Summarization by K Principal Concepts
  53. Learning What To Do by Simulating the Past
  54. On Biasing Transformer Attention Towards Monotonicity
  55. Approximate Bayesian inference from noisy likelihoods with Gaussian process emulated MCMC
  56. BR-NS: an Archive-less Approach to Novelty Search
  57. OGGN: A Novel Generalized Oracle Guided Generative Architecture for Modelling Inverse Function of Artificial Neural Networks
  58. Machine Learning Based on Natural Language Processing to Detect Cardiac Failure in Clinical Narratives
  59. How Metaphors Impact Political Discourse: A Large-Scale Topic-Agnostic Study Using Neural Metaphor Detection
  60. A transfer-learning approach for lesion detection in endoscopic images from the urinary tract
  61. Conditional Hyper-Network for Blind Super-Resolution with Multiple Degradations
  62. Field Convolutions for Surface CNNs
  63. Multimodal Fusion of EMG and Vision for Human Grasp Intent Inference in Prosthetic Hand Control
  64. Enhancing Object Detection for Autonomous Driving by Optimizing Anchor Generation and Addressing Class Imbalance
  65. Classification, Slippage, Failure and Discovery
  66. COVID-19 Named Entity Recognition for Vietnamese
  67. SerumRNN: Step by Step Audio VST Effect Programming
  68. Probing BERT in Hyperbolic Spaces
  69. SMD-Nets: Stereo Mixture Density Networks
  70. Modeling Object Dissimilarity for Deep Saliency Prediction
  71. A single gradient step finds adversarial examples on random two-layers neural networks
  72. Incentivizing Exploration in Linear Bandits under Information Gap
  73. 3D Surfel Map-Aided Visual Relocalization with Learned Descriptors
  74. Towards End-to-End Neural Face Authentication in the Wild -- Quantifying and Compensating for Directional Lighting Effects
  75. CoCoNets: Continuous Contrastive 3D Scene Representations
  76. Exploring the Relationship Between Algorithm Performance, Vocabulary, and Run-Time in Text Classification
  77. InAugment: Improving Classifiers via Internal Augmentation
  78. RNN Transducer Models For Spoken Language Understanding
  79. ORBIT: A Real-World Few-Shot Dataset for Teachable Object Recognition
  80. Uncertainty-Aware Temporal Self-Learning (UATS): Semi-Supervised Learning for Segmentation of Prostate Zones and Beyond
  81. Speech Denoising Without Clean Training Data: A Noise2Noise Approach
  82. Does Your Dermatology Classifier Know What It Doesn't Know? Detecting the Long-Tail of Unseen Conditions
  83. Robust Differentiable SVD
  84. Exploring Machine Speech Chain for Domain Adaptation and Few-Shot Speaker Adaptation
  85. A Bayesian Approach to Reinforcement Learning of Vision-Based Vehicular Control
  86. Exact Stochastic Second Order Deep Learning
  87. Leveraging Good Representations in Linear Contextual Bandits
  88. Enabling Cross-Domain Communication: How to Bridge the Gap between AI and HW Engineers
  89. Progressive Semantic Segmentation
  90. Affine-modeled video extraction from a single motion blurred image
  91. Statistically significant detection of semantic shifts using contextual word embeddings
  92. Geometry-based Distance Decomposition for Monocular 3D Object Detection
  93. BEFD: Boundary Enhancement and Feature Denoising for Vessel Segmentation
  94. Uppsala NLP at SemEval-2021 Task 2: Multilingual Language Models for Fine-tuning and Feature Extraction in Word-in-Context Disambiguation
  95. Robust Self-Ensembling Network for Hyperspectral Image Classification
  96. Languages for Smart and Computable Contracts
  97. Video Question Answering with Phrases via Semantic Roles
  98. A Reinforcement Learning Environment For Job-Shop Scheduling
  99. Predicting Inflation with Recurrent Neural Networks
  100. Residual Gaussian Process: A Tractable Nonparametric Bayesian Emulator for Multi-fidelity Simulations
All 176
  1. Voluntary safety commitments provide an escape from over-regulation in AI development
  2. CARRNN: A Continuous Autoregressive Recurrent Neural Network for Deep Representation Learning from Sporadic Temporal Data
  3. Few-Shot Action Recognition with Compromised Metric via Optimal Transport
  4. Towards Enabling Meta-Learning from Target Models
  5. HindSight: A Graph-Based Vision Model Architecture For Representing Part-Whole Hierarchies
  6. Atrous Residual Interconnected Encoder to Attention Decoder Framework for Vertebrae Segmentation via 3D Volumetric CT Images
  7. Learning specialized activation functions with the Piecewise Linear Unit
  8. Computation and Bribery of Voting Power in Delegative Simple Games
  9. Who Should Go First? A Self-Supervised Concept Sorting Model for Improving Taxonomy Expansion
  10. A Proposal for an Interactive Shell Based on a Typed Lambda Calculus
  11. Explainability-based Backdoor Attacks Against Graph Neural Networks
  12. 3D Shape Generation and Completion through Point-Voxel Diffusion
  13. Advanced Image Enhancement Method for Distant Vessels and Structures in Capsule Endoscopy
  14. Connecting Deep-Reinforcement-Learning-based Obstacle Avoidance with Conventional Global Planners using Waypoint Generators
  15. DSC-PoseNet: Learning 6DoF Object Pose Estimation via Dual-scale Consistency
  16. How Transferable are Reasoning Patterns in VQA?
  17. Contextual Semi-Supervised Learning: An Approach To Leverage Air-Surveillance and Untranscribed ATC Data in ASR Systems
  18. CLIMAT: Clinically-Inspired Multi-Agent Transformers for Knee Osteoarthritis Trajectory Forecasting
  19. Semantic Scene Completion via Integrating Instances and Scene in-the-Loop
  20. Spatial Imagination With Semantic Cognition for Mobile Robots
  21. Can a CNN trained on the Ising model detect the phase transition of the q-state Potts model?
  22. A Simple Geometric Method for Cross-Lingual Linguistic Transformations with Pre-trained Autoencoders
  23. Post-Hoc Domain Adaptation via Guided Data Homogenization
  24. Open Domain Generalization with Domain-Augmented Meta-Learning
  25. MRI-based Alzheimer's disease prediction via distilling the knowledge in multi-modal data
  26. Half-Truth: A Partially Fake Audio Detection Dataset
  27. Arena-Rosnav: Towards Deployment of Deep-Reinforcement-Learning-Based Obstacle Avoidance into Conventional Autonomous Navigation Systems
  28. Uncertainty-aware Remaining Useful Life predictor
  29. SiT: Self-supervised vIsion Transformer
  30. PQA: Perceptual Question Answering
  31. WNARS: WFST based Non-autoregressive Streaming End-to-End Speech Recognition
  32. PDO-eS2CNNs: Partial Differential Operator Based Equivariant Spherical CNNs
  33. Query Driven-Graph Neural Networks for Community Search: From Non-Attributed, Attributed, to Interactive Attributed
  34. Stable deep neural network architectures for mitochondria segmentation on electron microscopy volumes
  35. BSTC: A Large-Scale Chinese-English Speech Translation Dataset
  36. On Mixed Iterated Revisions
  37. Efficient time stepping for numerical integration using reinforcement learning
  38. ASFlow: Unsupervised Optical Flow Learning with Adaptive Pyramid Sampling
  39. M-Net with Bidirectional ConvLSTM for Cup and Disc Segmentation in Fundus Images
  40. Graph Partitioning and Sparse Matrix Ordering using Reinforcement Learning and Graph Neural Networks
  41. 1st Place Solution to ICDAR 2021 RRC-ICTEXT End-to-end Text Spotting and Aesthetic Assessment on Integrated Circuit
  42. Extended Parallel Corpus for Amharic-English Machine Translation
  43. Multiple Object Tracking with Correlation Learning
  44. MetricGAN+: An Improved Version of MetricGAN for Speech Enhancement
  45. An Empirical Study of the Effects of Sample-Mixing Methods for Efficient Training of Generative Adversarial Networks
  46. Pseudo-supervised Deep Subspace Clustering
  47. Neural Temporal Point Processes: A Review
  48. Sparse NMF with Archetypal Regularization: Computational and Robustness Properties
  49. A Neural Pre-Conditioning Active Learning Algorithm to Reduce Label Complexity
  50. User-Generated Text Corpus for Evaluating Japanese Morphological Analysis and Lexical Normalization
  51. Towards Multi-Scale Style Control for Expressive Speech Synthesis
  52. Deep Monocular 3D Human Pose Estimation via Cascaded Dimension-Lifting
  53. TokenPose: Learning Keypoint Tokens for Human Pose Estimation
  54. Reconstructing Recognizable 3D Face Shapes based on 3D Morphable Models
  55. Low-Complexity Probing via Finding Subnetworks
  56. SiamReID: Confuser Aware Siamese Tracker with Re-identification Feature
  57. Py-Feat: Python Facial Expression Analysis Toolbox
  58. Progressive Temporal Feature Alignment Network for Video Inpainting
  59. Lone Pine at SemEval-2021 Task 5: Fine-Grained Detection of Hate Speech Using BERToxic
  60. Learning to Coordinate via Multiple Graph Neural Networks
  61. Emotion Recognition from Speech Using Wav2vec 2.0 Embeddings
  62. DeepI2P: Image-to-Point Cloud Registration via Deep Classification
  63. Prototypical Region Proposal Networks for Few-Shot Localization and Classification
  64. Riggable 3D Face Reconstruction via In-Network Optimization
  65. Joint Optimization of Communications and Federated Learning Over the Air
  66. Deep Features for training Support Vector Machine
  67. Question-Driven Design Process for Explainable AI User Experiences
  68. Revisiting Simple Neural Probabilistic Language Models
  69. Gi and Pal Scores: Deep Neural Network Generalization Statistics
  70. Learning Graph Structures with Transformer for Multivariate Time Series Anomaly Detection in IoT
  71. Nutribullets Hybrid: Multi-document Health Summarization
  72. Automated User Experience Testing through Multi-Dimensional Performance Impact Analysis
  73. Semi-supervised on-device neural network adaptation for remote and portable laser-induced breakdown spectroscopy
  74. Convolutional Neural Network Pruning with Structural Redundancy Reduction
  75. CAPTRA: CAtegory-level Pose Tracking for Rigid and Articulated Objects from Point Clouds
  76. Multimodal Fusion Refiner Networks