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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)

Predicting Goal-Directed Human Attention Using Inverse Reinforcement Learning CVPR 2020 Predicting Lymph Node Metastasis Using Histopathological Images Based on Multiple Instance Learning With Deep Graph Convolution CVPR 2020 Predicting Propositional Satisfiability via End-to-End Learning AAAI 2020 Predicting Responses to Psychological Questionnaires from Participants’ Social Media Posts and Question Text Embeddings EMNLP 2020 Predicting Semantic Map Representations From Images Using Pyramid Occupancy Networks CVPR 2020 Predicting Sharp and Accurate Occlusion Boundaries in Monocular Depth Estimation Using Displacement Fields CVPR 2020 Predicting the Difficulty and Response Time of Multiple Choice Questions Using Transfer Learning ACL 2020 Predictive Student Modeling in Educational Games with Multi-Task Learning AAAI 2020 Pre-tokenization of Multi-word Expressions in Cross-lingual Word Embeddings EMNLP 2020 Pretrained Transformers Improve Out-of-Distribution Robustness ACL 2020 Pre-training Entity Relation Encoder with Intra-span and Inter-span Information EMNLP 2020 Pre-training Is (Almost) All You Need: An Application to Commonsense Reasoning ACL 2020 Pre-training Multilingual Neural Machine Translation by Leveraging Alignment Information EMNLP 2020 Pre-training via Leveraging Assisting Languages for Neural Machine Translation ACL 2020 Pretraining with Contrastive Sentence Objectives Improves Discourse Performance of Language Models ACL 2020 Pretrain-KGE: Learning Knowledge Representation from Pretrained Language Models EMNLP 2020 Prime Sample Attention in Object Detection CVPR 2020 Principal Style Components: Expressive Style Control and Cross-Speaker Transfer in Neural TTS Interspeech 2020 Prior-aware Composition Inference for Spectral Topic Models AISTATS 2020 ProAlignNet: Unsupervised Learning for Progressively Aligning Noisy Contours CVPR 2020 Probabilistically Masked Language Model Capable of Autoregressive Generation in Arbitrary Word Order ACL 2020 Probabilistic Assumptions Matter: Improved Models for Distantly-Supervised Document-Level Question Answering ACL 2020 Probabilistic Orientation Estimation with Matrix Fisher Distributions NeurIPS 2020 Probabilistic Pixel-Adaptive Refinement Networks CVPR 2020 Probabilistic Predictions of People Perusing: Evaluating Metrics of Language Model Performance for Psycholinguistic Modeling EMNLP 2020