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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)

A Closer Look at Fourier Spectrum Discrepancies for CNN-Generated Images Detection CVPR 2021 A Closer Look at Rotation-Invariant Deep Point Cloud Analysis ICCV 2021 A Cluster-based Approach for Improving Isotropy in Contextual Embedding Space ACL 2021 A Comparative Study on Recent Neural Spoofing Countermeasures for Synthetic Speech Detection Interspeech 2021 A Comprehensive Comparison of Word Embeddings in Event & Entity Coreference Resolution. EMNLP 2021 A Conditional Splitting Framework for Efficient Constituency Parsing ACL 2021 A Context Aware Approach for Generating Natural Language Attacks AAAI 2021 A Continual Learning Framework for Uncertainty-Aware Interactive Image Segmentation AAAI 2021 A Continuous Mapping For Augmentation Design NeurIPS 2021 ACSNet: Action-Context Separation Network for Weakly Supervised Temporal Action Localization AAAI 2021 ActionBert: Leveraging User Actions for Semantic Understanding of User Interfaces AAAI 2021 Action Shuffle Alternating Learning for Unsupervised Action Segmentation CVPR 2021 Active Deep Probabilistic Subsampling ICML 2021 Active Learning by Acquiring Contrastive Examples EMNLP 2021 ADA-AT/DT: An Adversarial Approach for Cross-Domain and Cross-Task Knowledge Transfer WACV 2021 AdaBins: Depth Estimation Using Adaptive Bins CVPR 2021 Adam Mickiewicz University’s English-Hausa Submissions to the WMT 2021 News Translation Task EMNLP 2021 AdaMML: Adaptive Multi-Modal Learning for Efficient Video Recognition ICCV 2021 Adapted End-to-End Coreference Resolution System for Anaphoric Identities in Dialogues EMNLP 2021 Adapting Language Models for Zero-shot Learning by Meta-tuning on Dataset and Prompt Collections EMNLP 2021 Adapting Neural Machine Translation for Automatic Post-Editing EMNLP 2021 Adaptive Aggregation Networks for Class-Incremental Learning CVPR 2021 Adaptive Consistency Prior Based Deep Network for Image Denoising CVPR 2021 Adaptive Consistency Regularization for Semi-Supervised Transfer Learning CVPR 2021 Adaptive Convolutions for Structure-Aware Style Transfer CVPR 2021