国際学会に採択された論文
ディープラーニングに関係がある国際学会は、
- International Conference on Machine Learning (ICML)
- International Conference on Learning Representations (ICLR)
- Conference and Workshop on Neural Information Processing Systems (NeurIPS)
など複数あります。
今日は、2020年のこれらの学会で採択された論文のうち、自己教師あり学習に関係する論文を紹介します。
自己教師あり学習に関係する論文リスト
ICML (International Conference on Machine Learning)
Automatic Shortcut Removal for Self-Supervised Representation Learning
Time-Consistent Self-Supervision for Semi-Supervised Learning
Skew-Fit: State-Covering Self-Supervised Reinforcement Learning
Self-PU: Self Boosted and Calibrated Positive-Unlabeled Training
Self-supervised Label Augmentation via Input Transformations
Graph-based, Self-Supervised Program Repair from Diagnostic Feedback
Learning Compound Tasks without Task-specific Knowledge via Imitation and Self-supervised Learning
When Does Self-Supervision Help Graph Convolutional Networks?
A Simple Framework for Contrastive Learning of Visual Representations
Representation Learning via Adversarially-Contrastive Optimal Transport
Contrastive Multi-View Representation Learning on Graphs
Bootstrap Latent-Predictive Representations for Multitask Reinforcement Learning
CURL: Contrastive Unsupervised Representations for Reinforcement Learning
ICLR (International Conference on Learning Representations)
vq-wav2vec: Self-Supervised Learning of Discrete Speech Representations
Neural Outlier Rejection for Self-Supervised Keypoint Learning
ALBERT: A Lite BERT for Self-supervised Learning of Language Representations
From Inference to Generation: End-to-end Fully Self-supervised Generation of Human Face from Speech
Self-labelling via simultaneous clustering and representation learning
Hierarchical Foresight: Self-Supervised Learning of Long-Horizon Tasks via Visual Subgoal Generation
Self-Supervised Learning of Appliance Usage
Semantically-Guided Representation Learning for Self-Supervised Monocular Depth
A critical analysis of self-supervision, or what we can learn from a single image
Strategies for Pre-training Graph Neural Networks
Efficient and Information-Preserving Future Frame Prediction and Beyond
StructBERT: Incorporating Language Structures into Pre-training for Deep Language Understanding
Contrastive Representation Distillation
Learning from Unlabelled Videos Using Contrastive Predictive Neural 3D Mapping
NeurIPS (Conference and Workshop on Neural Information Processing Systems)
Self-Supervised MultiModal Versatile Networks
Self-Supervised Relationship Probing
Cross-lingual Retrieval for Iterative Self-Supervised Training
Adversarial Self-Supervised Contrastive Learning
Demystifying Contrastive Self-Supervised Learning: Invariances, Augmentations and Dataset Biases
Rethinking Pre-training and Self-training
Self-Supervised Relational Reasoning for Representation Learning
Labelling unlabelled videos from scratch with multi-modal self-supervision
Learning to Orient Surfaces by Self-supervised Spherical CNNs
Self-supervised Co-Training for Video Representation Learning
Self-Supervised Few-Shot Learning on Point Clouds
Cycle-Contrast for Self-Supervised Video Representation Learning
Self-Supervised Generative Adversarial Compression
Refactoring Policy for Compositional Generalizability using Self-Supervised Object Proposals
Self-Supervised Learning by Cross-Modal Audio-Video Clustering
Self-supervised learning through the eyes of a child
Discriminative Sounding Objects Localization via Self-supervised Audiovisual Matching
Self-supervised Auxiliary Learning with Meta-paths for Heterogeneous Graphs
VIME: Extending the Success of Self- and Semi-supervised Learning to Tabular Domain
Self-paced Contrastive Learning with Hybrid Memory for Domain Adaptive Object Re-ID
wav2vec 2.0: A Framework for Self-Supervised Learning of Speech Representations
Self-Supervised Graph Transformer on Large-Scale Molecular Data
Forget About the LiDAR: Self-Supervised Depth Estimators with MED Probability Volumes
CompRess: Self-Supervised Learning by Compressing Representations
Patch2Self: Denoising Diffusion MRI with Self-Supervised Learning
Self-Supervised Visual Representation Learning from Hierarchical Grouping
3D Self-Supervised Methods for Medical Imaging
Noise2Same: Optimizing A Self-Supervised Bound for Image Denoising
Bootstrap Your Own Latent – A New Approach to Self-Supervised Learning
Big Self-Supervised Models are Strong Semi-Supervised Learners
Graph Contrastive Learning with Augmentations
What Makes for Good Views for Contrastive Learning?
Multi-label Contrastive Predictive Coding
LoCo: Local Contrastive Representation Learning
CSI: Novelty Detection via Contrastive Learning on Distributionally Shifted Instances
Joint Contrastive Learning with Infinite Possibilities
Robust Pre-Training by Adversarial Contrastive Learning
Few-shot Visual Reasoning with Meta-Analogical Contrastive Learning
Contrastive Learning with Adversarial Examples
Supervised Contrastive Learning
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