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Learning Types

32,670 papers (1 classified directly here)

Representation Learning (5,307) Multimodal Learning (3,969) Self-Supervised Learning (3,492) Transfer Learning (2,890) Adversarial Learning (2,199) Deep Learning (1,883) Contrastive Learning (1,730) Reinforcement Learning (1,500) Knowledge Distillation (1,494) Fine-Tuning (1,117) Multi-Task Learning (1,069) Domain Adaptation (977) Zero-Shot Learning (758) Unsupervised Learning (734) Few-Shot Learning (694) Classification (621) Retrieval-Augmented Generation (606) Data Augmentation (583) Semi-Supervised Learning (450) Weakly Supervised Learning (429) Continual Learning (408) In-Context Learning (387) Sequence Modeling (375) Meta-Learning (252) Metric Learning (232) Ensemble Learning (223) Federated Learning (215) Multi-Lingual Learning (199) Robustness (197) Parameter-Efficient Fine-Tuning (190) Imitation Learning (180) Prompt Engineering (170) Chain-of-Thought Reasoning (153) Curriculum Learning (146) Synthetic Data Generation (143) Reinforcement Learning from Human Feedback (141) Multi-Label Classification (123) Regression (117) Generative Model (109) Semantic Segmentation (106) Domain Generalization (105) Uncertainty Quantification (98) Controllable Generation (93) Text Generation (86) Neural Architecture Search (80) Object Detection (80) Image Generation (79) Multi-Agent Systems (76) Feature Learning (74) Preference Learning (73) Machine Translation (71) Out-of-Distribution Detection (68) Machine Unlearning (63) Generation (61) Reasoning (54) Multi-View Learning (53) Time Series (52) Instruction Tuning (50) Distributed Learning (50) Image Restoration (49) Chain-of-Thought (48) Active Learning (47) Text Classification (43) Distribution Shift (43) Structured Prediction (42) Clustering (41) Image Classification (40) Model Merging (37) Sparse Learning (36) Sequence Labeling (36) Multi-Instance Learning (35) Anomaly Detection (33) Image Processing (33) Code Generation (31) Fairness (30) Robust Learning (28) Multi-Domain Learning (27) Supervised Learning (26) Model-Based RL (25) Natural Language Generation (24) Privacy (21) Multi-Objective Optimization (19) Multi-Scale Learning (19) Neural Machine Translation (18) Causal Inference (14) Instance Segmentation (9) Interactive Learning (9) Multi-Label Learning (9) Multi-Source Learning (9) Multi-Class Classification (8)
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Papers (including subtopics)

Self-Supervised Wasserstein Pseudo-Labeling for Semi-Supervised Image Classification CVPR 2021 Self-Teaching Machines to Read and Comprehend with Large-Scale Multi-Subject Question-Answering Data EMNLP 2021 Self-Training Sampling with Monolingual Data Uncertainty for Neural Machine Translation ACL 2021 SeLFVi: Self-Supervised Light-Field Video Reconstruction From Stereo Video ICCV 2021 Semantic Alignment with Calibrated Similarity for Multilingual Sentence Embedding EMNLP 2021 Semantic-Aware Knowledge Distillation for Few-Shot Class-Incremental Learning CVPR 2021 Semantic-Aware Video Text Detection CVPR 2021 Semantic Concentration for Domain Adaptation ICCV 2021 Semantic Data Augmentation for End-to-End Mandarin Speech Recognition Interspeech 2021 Semantic Grouping Network for Video Captioning AAAI 2021 Semantic Image Matting CVPR 2021 Semantic Palette: Guiding Scene Generation With Class Proportions CVPR 2021 Semantic Relation Reasoning for Shot-Stable Few-Shot Object Detection CVPR 2021 Semantics-Aware Inferential Network for Natural Language Understanding AAAI 2021 Semantic Scene Completion via Integrating Instances and Scene In-the-Loop CVPR 2021 Semantic Segmentation With Generative Models: Semi-Supervised Learning and Strong Out-of-Domain Generalization CVPR 2021 Semi-Supervised Action Recognition With Temporal Contrastive Learning CVPR 2021 Semi-supervised Intent Discovery with Contrastive Learning EMNLP 2021 Semi-Supervised Learning for Multi-Task Scene Understanding by Neural Graph Consensus AAAI 2021 Semi-Supervised Learning via Triplet Network Based Active Learning (Student Abstract) AAAI 2021 Semi-Supervised Metric Learning: A Deep Resurrection AAAI 2021 Semi-Supervised Semantic Segmentation via Adaptive Equalization Learning NeurIPS 2021 Semi-Supervised Semantic Segmentation With Directional Context-Aware Consistency CVPR 2021 Semi-Supervised Video Deraining With Dynamical Rain Generator CVPR 2021 SenSeI: Sensitive Set Invariance for Enforcing Individual Fairness ICLR 2021