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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)

Mutual Exclusivity Training and Primitive Augmentation to Induce Compositionality EMNLP 2022 Mutual Information Constraints for Monte-Carlo Objectives to Prevent Posterior Collapse Especially in Language Modelling JMLR 2022 Mutual Information Divergence: A Unified Metric for Multimodal Generative Models NeurIPS 2022 Mutual Information-Driven Pan-Sharpening CVPR 2022 Mutual Learning of Joint and Separate Domain Alignments for Multi-Source Domain Adaptation WACV 2022 Mutual Nearest Neighbor Contrast and Hybrid Prototype Self-Training for Universal Domain Adaptation AAAI 2022 NAIST-NICT-TIT WMT22 General MT Task Submission EMNLP 2022 NAIST Simultaneous Speech-to-Text Translation System for IWSLT 2022 ACL 2022 Named Entity Recognition for Cancer Immunology Research Using Distant Supervision ACL 2022 Narrate Dialogues for Better Summarization EMNLP 2022 NASTAR: Noise Adaptive Speech Enhancement with Target-Conditional Resampling Interspeech 2022 Natural Black-Box Adversarial Examples against Deep Reinforcement Learning AAAI 2022 Natural Color Fool: Towards Boosting Black-box Unrestricted Attacks NeurIPS 2022 NaturalInversion: Data-Free Image Synthesis Improving Real-World Consistency AAAI 2022 Natural Language to Code Translation with Execution EMNLP 2022 Navigating Memory Construction by Global Pseudo-Task Simulation for Continual Learning NeurIPS 2022 NCP: Neural Correspondence Prior for Effective Unsupervised Shape Matching NeurIPS 2022 Nearest Neighbor Knowledge Distillation for Neural Machine Translation NAACL 2022 Nearest Neighbor Language Models for Stylistic Controllable Generation EMNLP 2022 Nearest Neighbor Zero-Shot Inference EMNLP 2022 Near-Exact Recovery for Tomographic Inverse Problems via Deep Learning ICML 2022 Near-optimal Local Convergence of Alternating Gradient Descent-Ascent for Minimax Optimization AISTATS 2022 Negative Sample Matters: A Renaissance of Metric Learning for Temporal Grounding AAAI 2022 Neighborhood-Adaptive Structure Augmented Metric Learning AAAI 2022 Neighborhood Consensus Contrastive Learning for Backward-Compatible Representation AAAI 2022