Self-Supervised Learning
8,965 papers
Papers per year
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15
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19
37
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207
425
704
1,138
1,221
1,651
1,597
1,447
325
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Papers
Meta-Reinforcement Learning Based on Self-Supervised Task Representation Learning
AAAI 2023
Meta-Tsallis-Entropy Minimization: A New Self-Training Approach for Domain Adaptation on Text Classification
IJCAI 2023
MGMAE: Motion Guided Masking for Video Masked Autoencoding
ICCV 2023
Micron-BERT: BERT-Based Facial Micro-Expression Recognition
CVPR 2023
miCSE: Mutual Information Contrastive Learning for Low-shot Sentence Embeddings
ACL 2023
MIMEx: Intrinsic Rewards from Masked Input Modeling
NeurIPS 2023
Mimicking the Thinking Process for Emotion Recognition in Conversation with Prompts and Paraphrasing
IJCAI 2023
MimicPlay: Long-Horizon Imitation Learning by Watching Human Play
CoRL 2023
Minimalistic Unsupervised Representation Learning with the Sparse Manifold Transform
ICLR 2023
Minimally Supervised Contextual Inference from Human Mobility: An Iterative Collaborative Distillation Framework
IJCAI 2023
Minority-Oriented Vicinity Expansion with Attentive Aggregation for Video Long-Tailed Recognition
AAAI 2023
Minority Oversampling for Imbalanced Data via Class-Preserving Regularized Auto-Encoders
AISTATS 2023
Mitigating Framing Bias with Polarity Minimization Loss
EMNLP 2023
Mitigating the Learning Bias towards Repetition by Self-Contrastive Training for Open-Ended Generation
ACL 2023
Mixed Autoencoder for Self-Supervised Visual Representation Learning
CVPR 2023
Mixed Orthographic/Phonemic Language Modeling: Beyond Orthographically Restricted Transformers (BORT)
ACL 2023
MixMAE: Mixed and Masked Autoencoder for Efficient Pretraining of Hierarchical Vision Transformers
CVPR 2023
MixRep: Hidden Representation Mixup for Low-Resource Speech Recognition
Interspeech 2023
MixSpeech: Cross-Modality Self-Learning with Audio-Visual Stream Mixup for Visual Speech Translation and Recognition
ICCV 2023
ML Mob at SemEval-2023 Task 5: “Breaking News: Our Semi-Supervised and Multi-Task Learning Approach Spoils Clickbait”
SemEval 2023
ML-SUPERB: Multilingual Speech Universal PERformance Benchmark
Interspeech 2023
MM-3DScene: 3D Scene Understanding by Customizing Masked Modeling With Informative-Preserved Reconstruction and Self-Distilled Consistency
CVPR 2023
MM-PCQA: Multi-Modal Learning for No-reference Point Cloud Quality Assessment
IJCAI 2023
MMSpeech: Multi-modal Multi-task Encoder-Decoder Pre-training for speech recognition
Interspeech 2023
MMST-ViT: Climate Change-aware Crop Yield Prediction via Multi-Modal Spatial-Temporal Vision Transformer
ICCV 2023