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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)

One Reference Is Not Enough: Diverse Distillation with Reference Selection for Non-Autoregressive Translation NAACL 2022 One-shot Neural Backdoor Erasing via Adversarial Weight Masking NeurIPS 2022 One-Shot Talking Face Generation from Single-Speaker Audio-Visual Correlation Learning AAAI 2022 On Feature Learning in the Presence of Spurious Correlations NeurIPS 2022 On Guiding Visual Attention With Language Specification CVPR 2022 On Learning Contrastive Representations for Learning With Noisy Labels CVPR 2022 On Length Divergence Bias in Textual Matching Models ACL 2022 Online Continual Learning on a Contaminated Data Stream With Blurry Task Boundaries CVPR 2022 Online Deep Equilibrium Learning for Regularization by Denoising NeurIPS 2022 Online Evasion Attacks on Recurrent Models:The Power of Hallucinating the Future IJCAI 2022 Online Knowledge Distillation by Temporal-Spatial Boosting WACV 2022 Online Semantic Parsing for Latency Reduction in Task-Oriented Dialogue ACL 2022 Online Training Through Time for Spiking Neural Networks NeurIPS 2022 On Lottery Tickets and Minimal Task Representations in Deep Reinforcement Learning ICLR 2022 On Measuring the Intrinsic Few-Shot Hardness of Datasets EMNLP 2022 On Mixup Regularization JMLR 2022 On Reinforcement Learning and Distribution Matching for Fine-Tuning Language Models with no Catastrophic Forgetting NeurIPS 2022 On Robust Prefix-Tuning for Text Classification ICLR 2022 On the Adversarial Robustness of Mixture of Experts NeurIPS 2022 On The Arabic Dialects’ Identification: Overcoming Challenges of Geographical Similarities Between Arabic dialects and Imbalanced Datasets EMNLP 2022 On the Calibration of Massively Multilingual Language Models EMNLP 2022 On the Calibration of Pre-trained Language Models using Mixup Guided by Area Under the Margin and Saliency ACL 2022 On the Compositional Generalization Gap of In-Context Learning EMNLP 2022 On the Cusp of Comprehensibility: Can Language Models Distinguish Between Metaphors and Nonsense? EMNLP 2022 On the data requirements of probing ACL 2022