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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
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'25

Papers (including subtopics)

Unsupervised Part-Based Disentangling of Object Shape and Appearance CVPR 2019 Unsupervised Person Image Generation With Semantic Parsing Transformation CVPR 2019 Unsupervised Person Re-Identification by Soft Multilabel Learning CVPR 2019 Unsupervised Pivot Translation for Distant Languages ACL 2019 Unsupervised Pretraining for Neural Machine Translation Using Elastic Weight Consolidation ACL 2019 Unsupervised Question Answering by Cloze Translation ACL 2019 Unsupervised Question Answering for Fact-Checking EMNLP 2019 Unsupervised Representation Learning with Future Observation Prediction for Speech Emotion Recognition Interspeech 2019 Unsupervised Rewriter for Multi-Sentence Compression ACL 2019 Unsupervised Scalable Representation Learning for Multivariate Time Series NeurIPS 2019 Unsupervised Scale-consistent Depth and Ego-motion Learning from Monocular Video NeurIPS 2019 Unsupervised Stylish Image Description Generation via Domain Layer Norm AAAI 2019 Unsupervised Visual Domain Adaptation: A Deep Max-Margin Gaussian Process Approach CVPR 2019 Unsupervised Visuomotor Control through Distributional Planning Networks RSS 2019 Untangling in Invariant Speech Recognition NeurIPS 2019 USAAR-DFKI – The Transference Architecture for English–German Automatic Post-Editing ACL 2019 Using a Logarithmic Mapping to Enable Lower Discount Factors in Reinforcement Learning NeurIPS 2019 Using Machine Learning and Deep Learning Methods to Find Mentions of Adverse Drug Reactions in Social Media ACL 2019 Using Self-Supervised Learning Can Improve Model Robustness and Uncertainty NeurIPS 2019 Using Semantic Similarity as Reward for Reinforcement Learning in Sentence Generation ACL 2019 Using Word Embeddings to Examine Gender Bias in Dutch Newspapers, 1950-1990 ACL 2019 Utilizing Class Information for Deep Network Representation Shaping AAAI 2019 Utilizing Monolingual Data in NMT for Similar Languages: Submission to Similar Language Translation Task ACL 2019 U-Time: A Fully Convolutional Network for Time Series Segmentation Applied to Sleep Staging NeurIPS 2019 UU_TAILS at MEDIQA 2019: Learning Textual Entailment in the Medical Domain ACL 2019