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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)

Error Correction Code Transformer NeurIPS 2022 ESCNet: Gaze Target Detection With the Understanding of 3D Scenes CVPR 2022 ESimCSE: Enhanced Sample Building Method for Contrastive Learning of Unsupervised Sentence Embedding COLING 2022 Estimating Egocentric 3D Human Pose in the Wild With External Weak Supervision CVPR 2022 Estimating Fine-Grained Noise Model via Contrastive Learning CVPR 2022 ETAB: A Benchmark Suite for Visual Representation Learning in Echocardiography NeurIPS 2022 eTranslation’s Submissions to the WMT22 General Machine Translation Task EMNLP 2022 EUREKA: EUphemism Recognition Enhanced through Knn-based methods and Augmentation EMNLP 2022 Eureka: Neural Insight Learning for Knowledge Graph Reasoning COLING 2022 Evading the Simplicity Bias: Training a Diverse Set of Models Discovers Solutions With Superior OOD Generalization CVPR 2022 Evaluating and Improving Factuality in Multimodal Abstractive Summarization EMNLP 2022 Evaluating Content Features and Classification Methods for Helpfulness Prediction of Online Reviews: Establishing a Benchmark for Portuguese ACL 2022 Evaluating Graph Generative Models with Contrastively Learned Features NeurIPS 2022 Evaluating Parameter Efficient Learning for Generation EMNLP 2022 Evaluating the Impact of Model Scale for Compositional Generalization in Semantic Parsing EMNLP 2022 Evaluation-Oriented Knowledge Distillation for Deep Face Recognition CVPR 2022 E-VarM: Enhanced Variational Word Masks to Improve the Interpretability of Text Classification Models COLING 2022 Event-Aware Multimodal Mobility Nowcasting AAAI 2022 Event Causality Identification with Causal News Corpus - Shared Task 3, CASE 2022 EMNLP 2022 Even the Simplest Baseline Needs Careful Re-investigation: A Case Study on XML-CNN NAACL 2022 Evidence > Intuition: Transferability Estimation for Encoder Selection EMNLP 2022 Evidential Neighborhood Contrastive Learning for Universal Domain Adaptation AAAI 2022 Evidential Turing Processes ICLR 2022 Ev-TTA: Test-Time Adaptation for Event-Based Object Recognition CVPR 2022 Exact learning dynamics of deep linear networks with prior knowledge NeurIPS 2022