mlsanityData to 14 Oct 2026

Papers

New on arXiv

Mon 7 Nov 2022

161 papers

  1. CoNMix for Source-free Single and Multi-target Domain AdaptationKnowledge distillation → General knowledge distillation methods
  2. From Denoising Diffusions to Denoising Markov ModelsDiffusion models → Diffusion foundations and sampling
  3. Using Deep Mixture-of-Experts to Detect Word Meaning Shift for TempoWiCMixture-of-experts → MoE large language models
  4. Bayesian Disturbance Injection: Robust Imitation Learning of Flexible Policies for Robot ManipulationOffline RL and imitation learning from data → Imitation learning methods
  5. Medical Diffusion: Denoising Diffusion Probabilistic Models for 3D Medical Image GenerationDiffusion models → Medical imaging and segmentation
  6. Few-shot Image Generation with Diffusion ModelsDiffusion models → Diffusion foundations and sampling
  7. Zero-Shot Classification by Logical Reasoning on Natural Language ExplanationsLLM reasoning → Multimodal reasoning
  8. AD-BERT: Using Pre-trained contextualized embeddings to Predict the Progression from Mild Cognitive Impairment to Alzheimer's Disease
  9. CRONOS: Colorization and Contrastive Learning for Device-Free NLoS Human Presence Detection using Wi-Fi CSI
  10. Realistic Bokeh Effect Rendering on Mobile GPUs, Mobile AI & AIM 2022 challenge: Report
  11. Investigating Fairness Disparities in Peer Review: A Language Model Enhanced Approach
  12. Efficient and Accurate Quantized Image Super-Resolution on Mobile NPUs, Mobile AI & AIM 2022 challenge: Report
  13. Generalization of generative model for neuronal ensemble inference method
  14. Power Efficient Video Super-Resolution on Mobile NPUs with Deep Learning, Mobile AI & AIM 2022 challenge: Report
  15. Okapi: Generalising Better by Making Statistical Matches Match
  16. Automatic Number Plate Recognition (ANPR) with YOLOv3-CNN
  17. FIXED: Frustratingly Easy Domain Generalization with Mixup
  18. Automatic Creativity Measurement in Scratch Programs Across Modalities
  19. A Characterization of List Learnability
  20. Efficient Single-Image Depth Estimation on Mobile Devices, Mobile AI & AIM 2022 Challenge: Report
  21. Private Set Generation with Discriminative Information
  22. Physics-Constrained Backdoor Attacks on Power System Fault Localization
  23. Machine Learning-Aided Operations and Communications of Unmanned Aerial Vehicles: A Contemporary Survey
  24. A Semiparametric Efficient Approach To Label Shift Estimation and Quantification
  25. FedGrad: Optimisation in Decentralised Machine Learning
  26. Policy evaluation from a single path: Multi-step methods, mixing and mis-specification
  27. Facial Tic Detection in Untrimmed Videos of Tourette Syndrome Patients
  28. visClust: A visual clustering algorithm based on orthogonal projections
  29. Humans decompose tasks by trading off utility and computational cost
  30. Common Pets in 3D: Dynamic New-View Synthesis of Real-Life Deformable Categories
  31. Proceedings of Principle and practice of data and Knowledge Acquisition Workshop 2022 (PKAW 2022)
  32. Learned Smartphone ISP on Mobile GPUs with Deep Learning, Mobile AI & AIM 2022 Challenge: Report
  33. NSNet: A General Neural Probabilistic Framework for Satisfiability Problems
  34. EEG-Fest: Few-shot based Attention Network for Driver's Vigilance Estimation with EEG Signals
  35. Looking at the Overlooked: An Analysis on the Word-Overlap Bias in Natural Language Inference
  36. Automatic Change-Point Detection in Time Series via Deep Learning
  37. Exploration of Convolutional Neural Network Architectures for Large Region Map Automation
  38. Polite Teacher: Semi-Supervised Instance Segmentation with Mutual Learning and Pseudo-Label Thresholding
  39. Federated Causal Discovery From Interventions
  40. AX-MABSA: A Framework for Extremely Weakly Supervised Multi-label Aspect Based Sentiment Analysis
  41. Multi-Head Adapter Routing for Cross-Task Generalization
  42. Lower Bounds for the Convergence of Tensor Power Iteration on Random Overcomplete Models
  43. Retrieval augmentation of large language models for lay language generation
  44. Posterior samples of source galaxies in strong gravitational lenses with score-based priors
  45. ToDD: Topological Compound Fingerprinting in Computer-Aided Drug Discovery
  46. Quantum-probabilistic Hamiltonian learning for generative modelling & anomaly detection
  47. Astronomia ex machina: a history, primer, and outlook on neural networks in astronomy
  48. Uncertainty Quantification for Atlas-Level Cell Type Transfer
  49. Learning Visual Locomotion with Cross-Modal Supervision
  50. Issues and Challenges in Applications of Artificial Intelligence to Nuclear Medicine -- The Bethesda Report (AI Summit 2022)
  51. On minimal variations for unsupervised representation learning
  52. CRIPP-VQA: Counterfactual Reasoning about Implicit Physical Properties via Video Question Answering
  53. Are AlphaZero-like Agents Robust to Adversarial Perturbations?
  54. Proper losses for discrete generative models
  55. Easily Accessible Text-to-Image Generation Amplifies Demographic Stereotypes at Large Scale
  56. Discrete Distribution Estimation under User-level Local Differential Privacy
  57. Monte Carlo Techniques for Addressing Large Errors and Missing Data in Simulation-based Inference
  58. Multi-Task Learning Framework for Extracting Emotion Cause Span and Entailment in Conversations
  59. AskewSGD : An Annealed interval-constrained Optimisation method to train Quantized Neural Networks
  60. DPCSpell: A Transformer-based Detector-Purificator-Corrector Framework for Spelling Error Correction of Bangla and Resource Scarce Indic Languages
  61. TAP-Vid: A Benchmark for Tracking Any Point in a Video
  62. Streaming, fast and accurate on-device Inverse Text Normalization for Automatic Speech Recognition
  63. Deviations in Representations Induced by Adversarial Attacks
  64. Inpainting in discrete Sobolev spaces: structural information for uncertainty reduction
  65. Graph Contrastive Learning with Implicit Augmentations
  66. A Survey on Computer Vision based Human Analysis in the COVID-19 Era
  67. Image Completion with Heterogeneously Filtered Spectral Hints
  68. Scale Invariant Privacy Preserving Video via Wavelet Decomposition
  69. Learning Feature Descriptors for Pre- and Intra-operative Point Cloud Matching for Laparoscopic Liver Registration
  70. Body Part-Based Representation Learning for Occluded Person Re-Identification
  71. Metricizing the Euclidean Space towards Desired Distance Relations in Point Clouds
  72. Application of Graph Neural Networks and graph descriptors for graph classification
  73. Generalizable Re-Identification from Videos with Cycle Association
  74. SC-DepthV3: Robust Self-supervised Monocular Depth Estimation for Dynamic Scenes
  75. Towards learning to explain with concept bottleneck models: mitigating information leakage
  76. Reranking Overgenerated Responses for End-to-End Task-Oriented Dialogue Systems
  77. Contrastive Classification and Representation Learning with Probabilistic Interpretation
  78. Egocentric Audio-Visual Noise Suppression
  79. Interpreting deep learning output for out-of-distribution detection
  80. Complex Hyperbolic Knowledge Graph Embeddings with Fast Fourier Transform
  81. No Word Embedding Model Is Perfect: Evaluating the Representation Accuracy for Social Bias in the Media
  82. Decentralized Complete Dictionary Learning via ℓ4-Norm Maximization
  83. A Deep Double Ritz Method (D2RM) for solving Partial Differential Equations using Neural Networks
  84. Camera Alignment and Weighted Contrastive Learning for Domain Adaptation in Video Person ReID
  85. Learning Semantic Textual Similarity via Topic-informed Discrete Latent Variables
  86. MAISON -- Multimodal AI-based Sensor platform for Older Individuals
  87. BigCilin: An Automatic Chinese Open-domain Knowledge Graph with Fine-grained Hypernym-Hyponym Relations
  88. Towards a mathematical understanding of learning from few examples with nonlinear feature maps
  89. Retention Time Prediction for Chromatographic Enantioseparation by Quantile Geometry-enhanced Graph Neural Network
  90. Group DETR v2: Strong Object Detector with Encoder-Decoder Pretraining
  91. Are Face Detection Models Biased?
  92. Generalized Product-of-Experts for Learning Multimodal Representations in Noisy Environments
  93. pyGSL: A Graph Structure Learning Toolkit
  94. TLP: A Deep Learning-based Cost Model for Tensor Program Tuning
  95. Do highly over-parameterized neural networks generalize since bad solutions are rare?
  96. Can neural networks extrapolate? Discussion of a theorem by Pedro Domingos
  97. Learning Causal Representations of Single Cells via Sparse Mechanism Shift Modeling
  98. Underwater Image Super-Resolution using Generative Adversarial Network-based Model
  99. Spatiotemporal forecasting of vertical track alignment with exogenous factors
  100. ERNIE-SAT: Speech and Text Joint Pretraining for Cross-Lingual Multi-Speaker Text-to-Speech
All 161
  1. Adaptive User-Centered Multimodal Interaction towards Reliable and Trusted Automotive Interfaces
  2. Knowledge Graph Embedding: A Survey from the Perspective of Representation Spaces
  3. A Multi-task Model for Sentiment Aided Stance Detection of Climate Change Tweets
  4. Adaptive Contrastive Learning on Multimodal Transformer for Review Helpfulness Predictions
  5. On the importance of data collection for training general goal-reaching policies
  6. End-to-End Evaluation of a Spoken Dialogue System for Learning Basic Mathematics
  7. Black-Box Attack against GAN-Generated Image Detector with Contrastive Perturbation
  8. Neural Architectural Nonlinear Pre-Processing for mmWave Radar-based Human Gesture Perception
  9. How Much Does Attention Actually Attend? Questioning the Importance of Attention in Pretrained Transformers
  10. A Targeted Sampling Strategy for Compressive Cryo Focused Ion Beam Scanning Electron Microscopy
  11. Exploiting Transformer-based Multitask Learning for the Detection of Media Bias in News Articles
  12. Resilience of Wireless Ad Hoc Federated Learning against Model Poisoning Attacks
  13. Predictive Coding beyond Gaussian Distributions
  14. Generative Transformers for Design Concept Generation
  15. A Survey on Quantum Reinforcement Learning
  16. NAPG: Non-Autoregressive Program Generation for Hybrid Tabular-Textual Question Answering
  17. Learning Probabilistic Temporal Safety Properties from Examples in Relational Domains
  18. Closing the Gap between Client and Global Model Performance in Heterogeneous Federated Learning
  19. A Unified Pyramid Recurrent Network for Video Frame Interpolation
  20. Justification of Recommender Systems Results: A Service-based Approach
  21. XAI-BayesHAR: A novel Framework for Human Activity Recognition with Integrated Uncertainty and Shapely Values
  22. Using Set Covering to Generate Databases for Holistic Steganalysis
  23. Named Entity Recognition in Indian court judgments
  24. Complete Cross-triplet Loss in Label Space for Audio-visual Cross-modal Retrieval
  25. Human-Machine Collaboration Approaches to Build a Dialogue Dataset for Hate Speech Countering
  26. Beyond Conjugacy for Chain Event Graph Model Selection
  27. Moving Frame Net: SE(3)-Equivariant Network for Volumes
  28. A Quantum-Powered Photorealistic Rendering
  29. Max-Min Off-Policy Actor-Critic Method Focusing on Worst-Case Robustness to Model Misspecification
  30. RITA: Boost Driving Simulators with Realistic Interactive Traffic Flow
  31. 3D Harmonic Loss: Towards Task-consistent and Time-friendly 3D Object Detection on Edge for V2X Orchestration
  32. PeSOTIF: a Challenging Visual Dataset for Perception SOTIF Problems in Long-tail Traffic Scenarios
  33. Temporal superimposed crossover module for effective continuous sign language
  34. AlphaPose: Whole-Body Regional Multi-Person Pose Estimation and Tracking in Real-Time
  35. Deep Causal Learning: Representation, Discovery and Inference
  36. BuildMapper: A Fully Learnable Framework for Vectorized Building Contour Extraction
  37. Semantic-Aware Environment Perception for Mobile Human-Robot Interaction
  38. Over-The-Air Clustered Wireless Federated Learning
  39. Probing neural language models for understanding of words of estimative probability
  40. Curriculum-based Asymmetric Multi-task Reinforcement Learning
  41. Contrastive Learning with Prompt-derived Virtual Semantic Prototypes for Unsupervised Sentence Embedding
  42. Cross-Domain Local Characteristic Enhanced Deepfake Video Detection
  43. Implicit Graphon Neural Representation
  44. Fixing Model Bugs with Natural Language Patches
  45. Accented Text-to-Speech Synthesis with a Conditional Variational Autoencoder
  46. CLOP: Video-and-Language Pre-Training with Knowledge Regularizations
  47. Contrastive Learning enhanced Author-Style Headline Generation
  48. HFedMS: Heterogeneous Federated Learning with Memorable Data Semantics in Industrial Metaverse
  49. MogaNet: Multi-order Gated Aggregation Network
  50. SLOPT: Bandit Optimization Framework for Mutation-Based Fuzzing
  51. Performance and utility trade-off in interpretable sleep staging
  52. Reward-Predictive Clustering
  53. Multimodal Learning for Non-small Cell Lung Cancer Prognosis
  54. Complex Reading Comprehension Through Question Decomposition
  55. Reconciliation of Pre-trained Models and Prototypical Neural Networks in Few-shot Named Entity Recognition
  56. Prompter: Utilizing Large Language Model Prompting for a Data Efficient Embodied Instruction Following
  57. AfroLM: A Self-Active Learning-based Multilingual Pretrained Language Model for 23 African Languages
  58. On Web-based Visual Corpus Construction for Visual Document Understanding
  59. Sparse Horseshoe Estimation via Expectation-Maximisation
  60. Fast Key Points Detection and Matching for Tree-Structured Images
  61. Neural PDE Solvers for Irregular Domains