mlsanityData to 14 Oct 2026

Papers

New on arXiv

Sat 9 Oct 2021

114 papers

  1. Representation Learning for Online and Offline RL in Low-rank MDPsOffline RL and imitation learning from data → Offline RL algorithms
  2. Credit Assignment Safety Learning from Human DemonstrationsOffline RL and imitation learning from data → Robot learning from demonstration
  3. CLIP-Adapter: Better Vision-Language Models with Feature AdaptersMultimodal LLMs / vision-language models → Prompt learning and adaptation of CLIP
  4. Visualizing the embedding space to explain the effect of knowledge distillationKnowledge distillation → General knowledge distillation methods
  5. Probabilistic prediction of the heave motions of a semi-submersible by a deep learning problem model
  6. Paperswithtopic: Topic Identification from Paper Title Only
  7. End-to-end Keyword Spotting using Xception-1d
  8. Predicting the spread of COVID-19 in Delhi, India using Deep Residual Recurrent Neural Networks
  9. Using Human-Guided Causal Knowledge for More Generalized Robot Task Planning
  10. Learning to Control Complex Robots Using High-Dimensional Interfaces: Preliminary Insights
  11. Cognitively Inspired Learning of Incremental Drifting Concepts
  12. K-Splits: Improved K-Means Clustering Algorithm to Automatically Detect the Number of Clusters
  13. Exploring constraints on CycleGAN-based CBCT enhancement for adaptive radiotherapy
  14. Differential Motion Evolution for Fine-Grained Motion Deformation in Unsupervised Image Animation
  15. Streaming on-device detection of device directed speech from voice and touch-based invocation
  16. Disentangled Sequence to Sequence Learning for Compositional Generalization
  17. Complex Network-Based Approach for Feature Extraction and Classification of Musical Genres
  18. Topological Data Analysis (TDA) Techniques Enhance Hand Pose Classification from ECoG Neural Recordings
  19. Interactive Hierarchical Guidance using Language
  20. Learning to Follow Language Instructions with Compositional Policies
  21. Breaking the Sample Complexity Barrier to Regret-Optimal Model-Free Reinforcement Learning
  22. On the Relation between Syntactic Divergence and Zero-Shot Performance
  23. Multi-task learning on the edge: cost-efficiency and theoretical optimality
  24. Satisficing Paths and Independent Multi-Agent Reinforcement Learning in Stochastic Games
  25. DenseNet approach to segmentation and classification of dermatoscopic skin lesions images
  26. The Neural Testbed: Evaluating Joint Predictions
  27. Vector-quantized Image Modeling with Improved VQGAN
  28. Iterative Refinement Graph Neural Network for Antibody Sequence-Structure Co-design
  29. Does Preprocessing Help Training Over-parameterized Neural Networks?
  30. Universal Paralinguistic Speech Representations Using Self-Supervised Conformers
  31. A Framework for Rationale Extraction for Deep QA models
  32. Google Landmark Retrieval 2021 Competition Third Place Solution
  33. Discriminative Multimodal Learning via Conditional Priors in Generative Models
  34. Empathetic Response Generation through Graph-based Multi-hop Reasoning on Emotional Causality
  35. Personalized Automatic Speech Recognition Trained on Small Disordered Speech Datasets
  36. Learning MRI Artifact Removal With Unpaired Data
  37. Learning Single/Multi-Attribute of Object with Symmetry and Group
  38. A Review of Physics-based Machine Learning in Civil Engineering
  39. Embed Everything: A Method for Efficiently Co-Embedding Multi-Modal Spaces
  40. Self-explaining Neural Network with Concept-based Explanations for ICU Mortality Prediction
  41. A Proximal Algorithm for Sampling from Non-smooth Potentials
  42. Deep Long-Tailed Learning: A Survey
  43. Flattening Sharpness for Dynamic Gradient Projection Memory Benefits Continual Learning
  44. An Exploration of Self-Supervised Pretrained Representations for End-to-End Speech Recognition
  45. Active Altruism Learning and Information Sufficiency for Autonomous Driving
  46. Space-Time-Separable Graph Convolutional Network for Pose Forecasting
  47. X-model: Improving Data Efficiency in Deep Learning with A Minimax Model
  48. Widen The Backdoor To Let More Attackers In
  49. Human-Aware Robot Navigation via Reinforcement Learning with Hindsight Experience Replay and Curriculum Learning
  50. Automatic Recognition of Abdominal Organs in Ultrasound Images based on Deep Neural Networks and K-Nearest-Neighbor Classification
  51. Temporally Consistent Video Colorization with Deep Feature Propagation and Self-regularization Learning
  52. Graph Neural Networks in Real-Time Fraud Detection with Lambda Architecture
  53. Unsupervised Representation Learning Meets Pseudo-Label Supervised Self-Distillation: A New Approach to Rare Disease Classification
  54. Towards Data-Free Domain Generalization
  55. Class-Balanced Active Learning for Image Classification
  56. The Inductive Bias of In-Context Learning: Rethinking Pretraining Example Design
  57. Focus Your Distribution: Coarse-to-Fine Non-Contrastive Learning for Anomaly Detection and Localization
  58. ZSpeedL -- Evaluating the Performance of Zero-Shot Learning Methods using Low-Power Devices
  59. Learning to Pick at Non-Zero-Velocity from Interactive Demonstrations
  60. Improving Multi-Party Dialogue Discourse Parsing via Domain Integration
  61. Generating Disentangled Arguments with Prompts: A Simple Event Extraction Framework that Works
  62. An Empirical Study on Compressed Decentralized Stochastic Gradient Algorithms with Overparameterized Models
  63. Rumor Detection on Twitter with Claim-Guided Hierarchical Graph Attention Networks
  64. Pairwise Margin Maximization for Deep Neural Networks
  65. DMRST: A Joint Framework for Document-Level Multilingual RST Discourse Segmentation and Parsing
  66. Extending Multi-Text Sentence Fusion Resources via Pyramid Annotations
  67. Towards Open-World Feature Extrapolation: An Inductive Graph Learning Approach
  68. TiKick: Towards Playing Multi-agent Football Full Games from Single-agent Demonstrations
  69. An Isotropy Analysis in the Multilingual BERT Embedding Space
  70. Multi-Relation Aware Temporal Interaction Network Embedding
  71. EnsembleNTLDetect: An Intelligent Framework for Electricity Theft Detection in Smart Grid
  72. Multi-Agent MDP Homomorphic Networks
  73. SGMNet: Scene Graph Matching Network for Few-Shot Remote Sensing Scene Classification
  74. Weight Evolution: Improving Deep Neural Networks Training through Evolving Inferior Weight Values
  75. Invertible Tone Mapping with Selectable Styles
  76. Demystifying the Transferability of Adversarial Attacks in Computer Networks
  77. Colour augmentation for improved semi-supervised semantic segmentation
  78. PAMA-TTS: Progression-Aware Monotonic Attention for Stable Seq2Seq TTS With Accurate Phoneme Duration Control
  79. Application of quantum computing to a linear non-Gaussian acyclic model for novel medical knowledge discovery
  80. Wav2vec-S: Semi-Supervised Pre-Training for Low-Resource ASR
  81. Towards Lifelong Learning of Multilingual Text-To-Speech Synthesis
  82. Comparing Facial Expression Recognition in Humans and Machines: Using CAM, GradCAM, and Extremal Perturbation
  83. Bayesian Active Summarization
  84. A Feature Consistency Driven Attention Erasing Network for Fine-Grained Image Retrieval
  85. Themis: A Network Bandwidth-Aware Collective Scheduling Policy for Distributed Training of DL Models
  86. Label quality in AffectNet: results of crowd-based re-annotation
  87. Leveraging recent advances in Pre-Trained Language Models forEye-Tracking Prediction
  88. Self-adaptive Multi-task Particle Swarm Optimization
  89. Provably Efficient Black-Box Action Poisoning Attacks Against Reinforcement Learning
  90. ProductAE: Towards Training Larger Channel Codes based on Neural Product Codes
  91. Predicting decision-making in the future: Human versus Machine
  92. Adversarial Training for Face Recognition Systems using Contrastive Adversarial Learning and Triplet Loss Fine-tuning
  93. Vision Transformer based COVID-19 Detection using Chest X-rays
  94. Deep Joint Source-Channel Coding for Wireless Image Transmission with Adaptive Rate Control
  95. Dynamic Logic of Legal Competences
  96. Towards AI Logic for Social Reasoning
  97. Using multiple reference audios and style embedding constraints for speech synthesis
  98. Scene Editing as Teleoperation: A Case Study in 6DoF Kit Assembly
  99. EfficientPhys: Enabling Simple, Fast and Accurate Camera-Based Vitals Measurement
  100. A Primer on Deep Learning for Causal Inference
All 114
  1. Natural Language for Human-Robot Collaboration: Problems Beyond Language Grounding
  2. A Generic Knowledge Based Medical Diagnosis Expert System
  3. Two-stage Visual Cues Enhancement Network for Referring Image Segmentation
  4. Group-matching algorithms for subjects and items
  5. SOMA: Solving Optical Marker-Based MoCap Automatically
  6. RankingMatch: Delving into Semi-Supervised Learning with Consistency Regularization and Ranking Loss
  7. Improving Distantly-Supervised Named Entity Recognition with Self-Collaborative Denoising Learning
  8. Harnessing Unlabeled Data to Improve Generalization of Biometric Gender and Age Classifiers
  9. Arabic Speech Emotion Recognition Employing Wav2vec2.0 and HuBERT Based on BAVED Dataset
  10. Theoretically Principled Deep RL Acceleration via Nearest Neighbor Function Approximation
  11. DeepABM: Scalable, efficient and differentiable agent-based simulations via graph neural networks
  12. Detecting Community Sensitive Norm Violations in Online Conversations
  13. Moral-Trust Violation vs Performance-Trust Violation by a Robot: Which Hurts More?
  14. Gated recurrent units and temporal convolutional network for multilabel classification