mlsanityData to 14 Oct 2026

Papers

New on arXiv

Sat 3 Dec 2022

77 papers

  1. Can In-context Learners Learn a Reasoning Concept from Demonstrations?LLM reasoning → Reasoning benchmarks and evaluation
  2. LDL: A Defense for Label-Based Membership Inference AttacksLLM safety and security → Membership inference attacks
  3. Language Models as Agent ModelsLLM agents and tool use → General LLM agent frameworks and benchmarks
  4. Visual Question Answering From Another Perspective: CLEVR Mental Rotation TestsLLM reasoning → Multimodal reasoning
  5. Understanding the Robustness of Multi-Exit Models under Common CorruptionsEfficient LLM inference and serving → Early exit and edge inference
  6. Learning and Blending Robot Hugging Behaviors in Time and SpaceOffline RL and imitation learning from data → Robot manipulation imitation learning
  7. Eulerian Phase-based Motion Magnification for High-Fidelity Vital Sign Estimation with Radar in Clinical Settings
  8. Longest Common Substring in Longest Common Subsequence's Solution Service: A Novel Hyper-Heuristic
  9. Fast Online Hashing with Multi-Label Projection
  10. Semi-supervised Learning with Robust Loss in Brain Segmentation
  11. Linguistic Constructs as the Representation of the Domain Model in an Intelligent Language Tutoring System
  12. Active learning using adaptable task-based prioritisation
  13. Towards Robust NLG Bias Evaluation with Syntactically-diverse Prompts
  14. Precise Energy Consumption Measurements of Heterogeneous Artificial Intelligence Workloads
  15. Learning-Assisted Algorithm Unrolling for Online Optimization with Budget Constraints
  16. Harnessing label semantics to extract higher performance under noisy label for Company to Industry matching
  17. Recognition and Prediction of Surgical Gestures and Trajectories Using Transformer Models in Robot-Assisted Surgery
  18. Interpretable Node Representation with Attribute Decoding
  19. A survey of smart classroom: Concept, technologies and facial emotions recognition application
  20. CrossSplit: Mitigating Label Noise Memorization through Data Splitting
  21. MaRF: Representing Mars as Neural Radiance Fields
  22. A Survey on Medical Document Summarization
  23. T-STAR: Truthful Style Transfer using AMR Graph as Intermediate Representation
  24. Euler Characteristic Curves and Profiles: a stable shape invariant for big data problems
  25. Unsupervised Fine-Tuning Data Selection for ASR Using Self-Supervised Speech Models
  26. A dataset for audio-video based vehicle speed estimation
  27. Global memory transformer for processing long documents
  28. Intermediate Entity-based Sparse Interpretable Representation Learning
  29. VLG: General Video Recognition with Web Textual Knowledge
  30. An Empirical Study of AI Techniques in Mobile Applications
  31. Bridging Component Learning with Degradation Modelling for Blind Image Super-Resolution
  32. Learning Detail-Structure Alternative Optimization for Blind Super-Resolution
  33. Smoothing Policy Iteration for Zero-sum Markov Games
  34. DACOM: Learning Delay-Aware Communication for Multi-Agent Reinforcement Learning
  35. Named Entity and Relation Extraction with Multi-Modal Retrieval
  36. CoP: Factual Inconsistency Detection by Controlling the Preference
  37. Exploring Stochastic Autoregressive Image Modeling for Visual Representation
  38. Enhanced Gaussian Process Dynamical Models with Knowledge Transfer for Long-term Battery Degradation Forecasting
  39. An ADMM-Incorporated Latent Factorization of Tensors Method for QoS Prediction
  40. StegaNeRF: Embedding Invisible Information within Neural Radiance Fields
  41. Average degree of the essential variety
  42. Make RepVGG Greater Again: A Quantization-aware Approach
  43. Domain-Invariant Feature Alignment Using Variational Inference For Partial Domain Adaptation
  44. BlendGAN: Learning and Blending the Internal Distributions of Single Images by Spatial Image-Identity Conditioning
  45. RHO (ρ): Reducing Hallucination in Open-domain Dialogues with Knowledge Grounding
  46. Modeling Label Correlations for Ultra-Fine Entity Typing with Neural Pairwise Conditional Random Field
  47. Box2Mask: Box-supervised Instance Segmentation via Level-set Evolution
  48. A Domain-specific Perceptual Metric via Contrastive Self-supervised Representation: Applications on Natural and Medical Images
  49. Multi-view deep learning based molecule design and structural optimization accelerates the SARS-CoV-2 inhibitor discovery
  50. Calibration and generalizability of probabilistic models on low-data chemical datasets with DIONYSUS
  51. Approximate Message Passing for Multi-Layer Estimation in Rotationally Invariant Models
  52. Generalizing Multiple Object Tracking to Unseen Domains by Introducing Natural Language Representation
  53. AdaCM: Adaptive ColorMLP for Real-Time Universal Photo-realistic Style Transfer
  54. Leveraging Angular Information Between Feature and Classifier for Long-tailed Learning: A Prediction Reformulation Approach
  55. PartSLIP: Low-Shot Part Segmentation for 3D Point Clouds via Pretrained Image-Language Models
  56. Contrastive Domain Adaptation for Time-Series via Temporal Mixup
  57. Meta Learning for Few-Shot Medical Text Classification
  58. Quantify the Causes of Causal Emergence: Critical Conditions of Uncertainty and Asymmetry in Causal Structure
  59. FedRolex: Model-Heterogeneous Federated Learning with Rolling Sub-Model Extraction
  60. Probabilistic Verification of ReLU Neural Networks via Characteristic Functions
  61. The RoyalFlush System for the WMT 2022 Efficiency Task
  62. Exploring the Limits of Differentially Private Deep Learning with Group-wise Clipping
  63. Multi-resolution Monocular Depth Map Fusion by Self-supervised Gradient-based Composition
  64. Laplacian Convolutional Representation for Traffic Time Series Imputation
  65. IDMS: Instance Depth for Multi-scale Monocular 3D Object Detection
  66. GlueFL: Reconciling Client Sampling and Model Masking for Bandwidth Efficient Federated Learning
  67. Distribution Fitting for Combating Mode Collapse in Generative Adversarial Networks
  68. Beyond ADMM: A Unified Client-variance-reduced Adaptive Federated Learning Framework
  69. Hedging Complexity in Generalization via a Parametric Distributionally Robust Optimization Framework
  70. Orders Are Unwanted: Dynamic Deep Graph Convolutional Network for Personality Detection
  71. Reinforcement learning with Demonstrations from Mismatched Task under Sparse Reward
  72. Autonomous Apple Fruitlet Sizing and Growth Rate Tracking using Computer Vision
  73. Constrained Reinforcement Learning via Dissipative Saddle Flow Dynamics
  74. Online Estimation of the Koopman Operator Using Fourier Features
  75. Policy Learning for Active Target Tracking over Continuous SE(3) Trajectories
  76. iEnhancer-ELM: improve enhancer identification by extracting position-related multiscale contextual information based on enhancer language models
  77. Applications of AI in Astronomy