mlsanityData to 14 Oct 2026

Papers

New on arXiv

Fri 17 Dec 2021

146 papers

  1. Heavy-tailed denoising score matchingDiffusion models → Diffusion foundations and sampling
  2. Distill and De-bias: Mitigating Bias in Face Verification using Knowledge DistillationKnowledge distillation → General knowledge distillation methods
  3. Pixel Distillation: A New Knowledge Distillation Scheme for Low-Resolution Image RecognitionKnowledge distillation → General knowledge distillation methods
  4. Weakly Supervised Semantic Segmentation via Alternative Self-Dual TeachingKnowledge distillation → Detection and dense prediction distillation
  5. WebGPT: Browser-assisted question-answering with human feedbackLLM alignment / RLHF / preference optimisation → Reward modeling and RLHF
  6. Contrastive Vision-Language Pre-training with Limited ResourcesMultimodal LLMs / vision-language models → Prompt learning and adaptation of CLIP
  7. A singular Riemannian geometry approach to Deep Neural Networks I. Theoretical foundations
  8. NILC-Metrix: assessing the complexity of written and spoken language in Brazilian Portuguese
  9. Best of Both Worlds: A Hybrid Approach for Multi-Hop Explanation with Declarative Facts
  10. Personalized Lane Change Decision Algorithm Using Deep Reinforcement Learning Approach
  11. Towards Disturbance-Free Visual Mobile Manipulation
  12. An ensemble deep learning technique for detecting suicidal ideation from posts in social media platforms
  13. A singular Riemannian geometry approach to Deep Neural Networks II. Reconstruction of 1-D equivalence classes
  14. NFTGAN: Non-Fungible Token Art Generation Using Generative Adversarial Networks
  15. Direct simple computation of middle surface between 3D point clouds and/or discrete surfaces by tracking sources in distance function calculation algorithms
  16. Automated Domain Discovery from Multiple Sources to Improve Zero-Shot Generalization
  17. AutoTransfer: Subject Transfer Learning with Censored Representations on Biosignals Data
  18. Robust Distributed Bayesian Learning with Stragglers via Consensus Monte Carlo
  19. A data-centric weak supervised learning for highway traffic incident detection
  20. Query Adaptive Few-Shot Object Detection with Heterogeneous Graph Convolutional Networks
  21. Exploring the Impact of Virtualization on the Usability of the Deep Learning Applications
  22. Adaptive Subsampling for ROI-based Visual Tracking: Algorithms and FPGA Implementation
  23. Reproducible and Portable Big Data Analytics in the Cloud
  24. Learned Half-Quadratic Splitting Network for MR Image Reconstruction
  25. Discrete Probabilistic Inverse Optimal Transport
  26. Set Twister for Single-hop Node Classification
  27. A Simple Single-Scale Vision Transformer for Object Localization and Instance Segmentation
  28. Supervised Multivariate Learning with Simultaneous Feature Auto-grouping and Dimension Reduction
  29. Interpretable Data-Based Explanations for Fairness Debugging
  30. Can we Fix the Scope for Coreference? Problems and Solutions for Benchmarks beyond OntoNotes
  31. Envisioning Future Deep Learning Theories: Some Basic Concepts and Characteristics
  32. Rank4Class: A Ranking Formulation for Multiclass Classification
  33. Soundify: Matching Sound Effects to Video
  34. On the Evolution of the MCTS Upper Confidence Bounds for Trees by Means of Evolutionary Algorithms in the Game of Carcassonne
  35. Interpretable and Interactive Deep Multiple Instance Learning for Dental Caries Classification in Bitewing X-rays
  36. Generalisation effects of predictive uncertainty estimation in deep learning for digital pathology
  37. Cross-Model Pseudo-Labeling for Semi-Supervised Action Recognition
  38. Light Field Neural Rendering
  39. Efficient Visual Tracking with Exemplar Transformers
  40. Neuromorphic Camera Denoising using Graph Neural Network-driven Transformers
  41. On the existence of global minima and convergence analyses for gradient descent methods in the training of deep neural networks
  42. An Online Data-Driven Emergency-Response Method for Autonomous Agents in Unforeseen Situations
  43. Explain, Edit, and Understand: Rethinking User Study Design for Evaluating Model Explanations
  44. Deep Learning for Spatiotemporal Modeling of Urbanization
  45. Towards More Effective PRM-based Crowd Counting via A Multi-resolution Fusion and Attention Network
  46. AI-Assisted Verification of Biometric Data Collection
  47. Reasoning Chain Based Adversarial Attack for Multi-hop Question Answering
  48. Distillation of RL Policies with Formal Guarantees via Variational Abstraction of Markov Decision Processes (Technical Report)
  49. FastSurferVINN: Building Resolution-Independence into Deep Learning Segmentation Methods -- A Solution for HighRes Brain MRI
  50. Information-theoretic stochastic contrastive conditional GAN: InfoSCC-GAN
  51. Improving neural implicit surfaces geometry with patch warping
  52. Video-Based Reconstruction of the Trajectories Performed by Skiers
  53. Generation of data on discontinuous manifolds via continuous stochastic non-invertible networks
  54. Local contrastive loss with pseudo-label based self-training for semi-supervised medical image segmentation
  55. Embedding Graph Convolutional Networks in Recurrent Neural Networks for Predictive Monitoring
  56. Oil Spill SAR Image Segmentation via Probability Distribution Modelling
  57. Sublinear Time Approximation of Text Similarity Matrices
  58. Sparsifying Sparse Representations for Passage Retrieval by Top-k Masking
  59. Provable Adversarial Robustness in the Quantum Model
  60. Autonomous Reinforcement Learning: Formalism and Benchmarking
  61. Joint machine learning analysis of muon spectroscopy data from different materials
  62. Transcribing Natural Languages for The Deaf via Neural Editing Programs
  63. Towards Deep Learning-based 6D Bin Pose Estimation in 3D Scans
  64. Global explainability in aligned image modalities
  65. Align and Prompt: Video-and-Language Pre-training with Entity Prompts
  66. Watermarking Images in Self-Supervised Latent Spaces
  67. Convergence Rates of Two-Time-Scale Gradient Descent-Ascent Dynamics for Solving Nonconvex Min-Max Problems
  68. Super-resolution reconstruction of cytoskeleton image based on A-net deep learning network
  69. cgSpan: Closed Graph-Based Substructure Pattern Mining
  70. Topic-Aware Encoding for Extractive Summarization
  71. A Binded VAE for Inorganic Material Generation
  72. Nearest neighbor search with compact codes: A decoder perspective
  73. ColO-RAN: Developing Machine Learning-based xApps for Open RAN Closed-loop Control on Programmable Experimental Platforms
  74. Complex Functional Maps : a Conformal Link Between Tangent Bundles
  75. End-to-End Rate-Distortion Optimized Learned Hierarchical Bi-Directional Video Compression
  76. Challenge Dataset of Cognates and False Friend Pairs from Indian Languages
  77. Correlated Product of Experts for Sparse Gaussian Process Regression
  78. Symmetry-aware Neural Architecture for Embodied Visual Navigation
  79. Towards Launching AI Algorithms for Cellular Pathology into Clinical & Pharmaceutical Orbits
  80. Stability Verification in Stochastic Control Systems via Neural Network Supermartingales
  81. Methods for segmenting cracks in 3d images of concrete: A comparison based on semi-synthetic images
  82. Visual Microfossil Identification via Deep Metric Learning
  83. Joint Chinese Word Segmentation and Part-of-speech Tagging via Two-stage Span Labeling
  84. Learning in Restless Bandits under Exogenous Global Markov Process
  85. Learning from Heterogeneous Data Based on Social Interactions over Graphs
  86. Learning Reward Machines: A Study in Partially Observable Reinforcement Learning
  87. Towards fuzzification of adaptation rules in self-adaptive architectures
  88. A Multimodal Approach for Automatic Mania Assessment in Bipolar Disorder
  89. Fair Active Learning: Solving the Labeling Problem in Insurance
  90. Contrastive Explanations for Comparing Preferences of Reinforcement Learning Agents
  91. Compositional Learning-based Planning for Vision POMDPs
  92. Distillation of Human-Object Interaction Contexts for Action Recognition
  93. Data Efficient Language-supervised Zero-shot Recognition with Optimal Transport Distillation
  94. Adaptively Customizing Activation Functions for Various Layers
  95. ML Supported Predictions for SAT Solvers Performance
  96. Privacy preserving n-party scalar product protocol
  97. Federated Learning with Superquantile Aggregation for Heterogeneous Data
  98. Dynamics-aware Adversarial Attack of 3D Sparse Convolution Network
  99. Continual Learning for Monolingual End-to-End Automatic Speech Recognition
  100. SiamTrans: Zero-Shot Multi-Frame Image Restoration with Pre-Trained Siamese Transformers
All 146
  1. ActKnow: Active External Knowledge Infusion Learning for Question Answering in Low Data Regime
  2. A Review on Visual Privacy Preservation Techniques for Active and Assisted Living
  3. A random energy approach to deep learning
  4. Disentangled representations: towards interpretation of sex determination from hip bone
  5. Self-attention based anchor proposal for skeleton-based action recognition
  6. Communication-oriented Model Fine-tuning for Packet-loss Resilient Distributed Inference under Highly Lossy IoT Networks
  7. Quality of Data in Machine Learning
  8. Semi-Supervised Clustering via Information-Theoretic Markov Chain Aggregation
  9. Can Machine Learning Tools Support the Identification of Sustainable Design Leads From Product Reviews? Opportunities and Challenges
  10. Feature extraction and classification algorithm, which one is more essential? An experimental study on a specific task of vibration signal diagnosis
  11. Full Transformer Framework for Robust Point Cloud Registration with Deep Information Interaction
  12. Discretization and Re-synthesis: an alternative method to solve the Cocktail Party Problem
  13. Enhanced Frame and Event-Based Simulator and Event-Based Video Interpolation Network
  14. Improving evidential deep learning via multi-task learning
  15. SuperStyleNet: Deep Image Synthesis with Superpixel Based Style Encoder
  16. Colloquium: Advances in automation of quantum dot devices control
  17. Interpreting Audiograms with Multi-stage Neural Networks
  18. UniMiSS: Universal Medical Self-Supervised Learning via Breaking Dimensionality Barrier
  19. From Deterioration to Acceleration: A Calibration Approach to Rehabilitating Step Asynchronism in Federated Optimization
  20. Expedition: A System for the Unsupervised Learning of a Hierarchy of Concepts
  21. Balancing Fairness and Robustness via Partial Invariance
  22. Domain Adaptation on Point Clouds via Geometry-Aware Implicits
  23. Personalized On-Device E-health Analytics with Decentralized Block Coordinate Descent
  24. KGBoost: A Classification-based Knowledge Base Completion Method with Negative Sampling
  25. Deep Spatially and Temporally Aware Similarity Computation for Road Network Constrained Trajectories
  26. Community-based Layerwise Distributed Training of Graph Convolutional Networks
  27. Point2Cyl: Reverse Engineering 3D Objects from Point Clouds to Extrusion Cylinders
  28. Incentivizing Collaboration in Machine Learning via Synthetic Data Rewards
  29. Cinderella's shoe won't fit Soundarya: An audit of facial processing tools on Indian faces
  30. Dilemma of the Artificial Intelligence Regulatory Landscape
  31. Procedural Kernel Networks
  32. Optimal discharge of patients from intensive care via a data-driven policy learning framework
  33. MIDI-DDSP: Detailed Control of Musical Performance via Hierarchical Modeling
  34. Unadjusted Langevin algorithm for sampling a mixture of weakly smooth potentials
  35. Gaussian RBF Centered Kernel Alignment (CKA) in the Large Bandwidth Limit
  36. Overview of the HASOC Subtrack at FIRE 2021: Hate Speech and Offensive Content Identification in English and Indo-Aryan Languages
  37. Towards End-to-End Image Compression and Analysis with Transformers
  38. Human-vehicle Cooperative Visual Perception for Autonomous Driving under Complex Road and Traffic Scenarios
  39. A Comparative Study of Detecting Anomalies in Time Series Data Using LSTM and TCN Models
  40. PeopleSansPeople: A Synthetic Data Generator for Human-Centric Computer Vision
  41. Neural Architectures for Biological Inter-Sentence Relation Extraction
  42. Robust Upper Bounds for Adversarial Training
  43. All-photon Polarimetric Time-of-Flight Imaging
  44. DNA: Dynamic Network Augmentation
  45. Incomplete Knowledge Graph Alignment
  46. Image Inpainting Using AutoEncoder and Guided Selection of Predicted Pixels