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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)

Automatic Generation of Personalized Comment Based on User Profile ACL 2019 Automatic identification of writers’ intentions: Comparing different methods for predicting relationship goals in online dating profile texts EMNLP 2019 AutoZOOM: Autoencoder-Based Zeroth Order Optimization Method for Attacking Black-Box Neural Networks AAAI 2019 Avoiding Reasoning Shortcuts: Adversarial Evaluation, Training, and Model Development for Multi-Hop QA ACL 2019 AWSD: Adaptive Weighted Spatiotemporal Distillation for Video Representation ICCV 2019 Backbone Cannot Be Trained at Once: Rolling Back to Pre-Trained Network for Person Re-Identification AAAI 2019 Bag of Tricks for Image Classification with Convolutional Neural Networks CVPR 2019 Bag-of-Words Transfer: Non-Contextual Techniques for Multi-Task Learning EMNLP 2019 Baidu Neural Machine Translation Systems for WMT19 ACL 2019 Balanced Self-Paced Learning for Generative Adversarial Clustering Network CVPR 2019 Barrage of Random Transforms for Adversarially Robust Defense CVPR 2019 BERT Masked Language Modeling for Co-reference Resolution ACL 2019 Beto, Bentz, Becas: The Surprising Cross-Lingual Effectiveness of BERT EMNLP 2019 Better and Faster: Exponential Loss for Image Patch Matching ICCV 2019 Better Fine-Tuning via Instance Weighting for Text Classification AAAI 2019 Better OOV Translation with Bilingual Terminology Mining ACL 2019 Beyond BLEU: Training Neural Machine Translation with Semantic Similarity ACL 2019 Beyond RNNs: Positional Self-Attention with Co-Attention for Video Question Answering AAAI 2019 Beyond Speech: Generalizing D-Vectors for Biometric Verification AAAI 2019 Big Bidirectional Insertion Representations for Documents EMNLP 2019 Bi-Kronecker Functional Decision Diagrams: A Novel Canonical Representation of Boolean Functions AAAI 2019 Bilateral Cyclic Constraint and Adaptive Regularization for Unsupervised Monocular Depth Prediction CVPR 2019 Bilingual Lexicon Induction with Semi-supervision in Non-Isometric Embedding Spaces ACL 2019 Binary Ensemble Neural Network: More Bits per Network or More Networks per Bit? CVPR 2019 Biologically Motivated Algorithms for Propagating Local Target Representations AAAI 2019