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Learning Types

32,670 papers (1 classified directly here)

Subtopics · a paper can sit in several, so these overlap

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)

Papers per year

38
179
3,018
5,737
'10
'15
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'25

Papers (including subtopics)

MSD: Saliency-aware Knowledge Distillation for Multimodal Understanding EMNLP 2021 MTAAL: Multi-Task Adversarial Active Learning for Medical Named Entity Recognition and Normalization AAAI 2021 MUFASA: Multimodal Fusion Architecture Search for Electronic Health Records AAAI 2021 Multi-agent Reinforcement Learning for Decentralized Coalition Formation Games AAAI 2021 Multi-Attentional Deepfake Detection CVPR 2021 MultiBodySync: Multi-Body Segmentation and Motion Estimation via 3D Scan Synchronization CVPR 2021 Multi-Channel Speaker Verification for Single and Multi-Talker Speech Interspeech 2021 Multi-Class Grammatical Error Detection for Correction: A Tale of Two Systems EMNLP 2021 Multi-Decoder Attention Model with Embedding Glimpse for Solving Vehicle Routing Problems AAAI 2021 Multidimensional Uncertainty-Aware Evidential Neural Networks AAAI 2021 Multi-Domain Multi-Task Rehearsal for Lifelong Learning AAAI 2021 MultiEURLEX - A multi-lingual and multi-label legal document classification dataset for zero-shot cross-lingual transfer EMNLP 2021 Multi-Frame Recurrent Adversarial Network for Moving Object Segmentation WACV 2021 Multi-granularity Textual Adversarial Attack with Behavior Cloning EMNLP 2021 Multi-Institutional Collaborations for Improving Deep Learning-Based Magnetic Resonance Image Reconstruction Using Federated Learning CVPR 2021 Multi-Label Activity Recognition Using Activity-Specific Features and Activity Correlations CVPR 2021 Multi-label Few-shot Learning with Semantic Inference (Student Abstract) AAAI 2021 Multi-Label Learning From Single Positive Labels CVPR 2021 Multi-Layer Random Perturbation Training for improving Model Generalization Efficiently EMNLP 2021 Multi-level Distance Regularization for Deep Metric Learning AAAI 2021 Multilingual Chart-based Constituency Parse Extraction from Pre-trained Language Models EMNLP 2021 Multilingual Code-Switching for Zero-Shot Cross-Lingual Intent Prediction and Slot Filling EMNLP 2021 Multi-lingual Discourse Segmentation and Connective Identification: MELODI at Disrpt2021 EMNLP 2021 Multilingual Domain Adaptation for NMT: Decoupling Language and Domain Information with Adapters EMNLP 2021 Multilingual Machine Translation Evaluation Metrics Fine-tuned on Pseudo-Negative Examples for WMT 2021 Metrics Task EMNLP 2021