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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)

Incorporating Commonsense Knowledge Graph in Pretrained Models for Social Commonsense Tasks EMNLP 2020 Incorporating Expert-Based Investment Opinion Signals in Stock Prediction: A Deep Learning Framework AAAI 2020 Incorporating External Knowledge through Pre-training for Natural Language to Code Generation ACL 2020 Incorporating Interpretable Output Constraints in Bayesian Neural Networks NeurIPS 2020 Incorporating Label Embedding and Feature Augmentation for Multi-Dimensional Classification AAAI 2020 Incorporating Multimodal Information in Open-Domain Web Keyphrase Extraction EMNLP 2020 Incorporating Stylistic Lexical Preferences in Generative Language Models EMNLP 2020 Incorporating Terminology Constraints in Automatic Post-Editing EMNLP 2020 Increasing the Intelligibility and Naturalness of Alaryngeal Speech Using Voice Conversion and Synthetic Fundamental Frequency Interspeech 2020 Incremental Few-Shot Object Detection CVPR 2020 Incremental Learning in Online Scenario CVPR 2020 Incremental Multi-Domain Learning with Network Latent Tensor Factorization AAAI 2020 Incremental Sense Weight Training for In-Depth Interpretation of Contextualized Word Embeddings (Student Abstract) AAAI 2020 Incremental Text-to-Speech Synthesis with Prefix-to-Prefix Framework EMNLP 2020 In Defense of Grid Features for Visual Question Answering CVPR 2020 Independence Promoted Graph Disentangled Networks AAAI 2020 Independent and Automatic Evaluation of Speaker-Independent Acoustic-to-Articulatory Reconstruction Interspeech 2020 Independent Skill Transfer for Deep Reinforcement Learning IJCAI 2020 Independent Subspace Analysis for Unsupervised Learning of Disentangled Representations AISTATS 2020 Inexpensive Domain Adaptation of Pretrained Language Models: Case Studies on Biomedical NER and Covid-19 QA EMNLP 2020 InfoGAN-CR and ModelCentrality: Self-supervised Model Training and Selection for Disentangling GANs ICML 2020 Infomax Neural Joint Source-Channel Coding via Adversarial Bit Flip AAAI 2020 InfoMiner at WNUT-2020 Task 2: Transformer-based Covid-19 Informative Tweet Extraction EMNLP 2020 Information-Theoretic Probing with Minimum Description Length EMNLP 2020 Informative Dropout for Robust Representation Learning: A Shape-bias Perspective ICML 2020