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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
'20
'25

Papers (including subtopics)

Understanding the Evolution of Linear Regions in Deep Reinforcement Learning NeurIPS 2022 Undoing the Damage of Label Shift for Cross-Domain Semantic Segmentation CVPR 2022 UniCoRN: A Unified Conditional Image Repainting Network CVPR 2022 Unified Contrastive Learning in Image-Text-Label Space CVPR 2022 UnifiedSKG: Unifying and Multi-Tasking Structured Knowledge Grounding with Text-to-Text Language Models EMNLP 2022 Unifying Data Perspectivism and Personalization: An Application to Social Norms EMNLP 2022 Unifying Model Explainability and Robustness for Joint Text Classification and Rationale Extraction AAAI 2022 Unifying Panoptic Segmentation for Autonomous Driving CVPR 2022 Unifying the Convergences in Multilingual Neural Machine Translation EMNLP 2022 Uni[MASK]: Unified Inference in Sequential Decision Problems NeurIPS 2022 UNIMO-2: End-to-End Unified Vision-Language Grounded Learning ACL 2022 UniMSE: Towards Unified Multimodal Sentiment Analysis and Emotion Recognition EMNLP 2022 UniNL: Aligning Representation Learning with Scoring Function for OOD Detection via Unified Neighborhood Learning EMNLP 2022 UniPELT: A Unified Framework for Parameter-Efficient Language Model Tuning ACL 2022 Uni-Perceiver: Pre-Training Unified Architecture for Generic Perception for Zero-Shot and Few-Shot Tasks CVPR 2022 UNIREX: A Unified Learning Framework for Language Model Rationale Extraction ACL 2022 UNISON: Unpaired Cross-Lingual Image Captioning AAAI 2022 UNIST: Unpaired Neural Implicit Shape Translation Network CVPR 2022 Universal and Independent: Multilingual Probing Framework for Exhaustive Model Interpretation and Evaluation EMNLP 2022 University of Cape Town’s WMT22 System: Multilingual Machine Translation for Southern African Languages EMNLP 2022 UniXcoder: Unified Cross-Modal Pre-training for Code Representation ACL 2022 Unknown-Aware Domain Adversarial Learning for Open-Set Domain Adaptation NeurIPS 2022 Unlabeled Data Help: Minimax Analysis and Adversarial Robustness AISTATS 2022 Unleashing Potential of Unsupervised Pre-Training With Intra-Identity Regularization for Person Re-Identification CVPR 2022 Unmasking the Mask – Evaluating Social Biases in Masked Language Models AAAI 2022