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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)

M2m: Imbalanced Classification via Major-to-Minor Translation CVPR 2020 M3ER: Multiplicative Multimodal Emotion Recognition using Facial, Textual, and Speech Cues AAAI 2020 Machine Generation and Detection of Arabic Manipulated and Fake News COLING 2020 Machine Number Sense: A Dataset of Visual Arithmetic Problems for Abstract and Relational Reasoning AAAI 2020 Maintaining Discrimination and Fairness in Class Incremental Learning CVPR 2020 Make One-Shot Video Object Segmentation Efficient Again NeurIPS 2020 Make Templates Smarter: A Template Based Data2Text System Powered by Text Stitch Model EMNLP 2020 Make Up Your Mind! Adversarial Generation of Inconsistent Natural Language Explanations ACL 2020 Making Better Mistakes: Leveraging Class Hierarchies With Deep Networks CVPR 2020 Making Monolingual Sentence Embeddings Multilingual using Knowledge Distillation EMNLP 2020 MALA: Cross-Domain Dialogue Generation with Action Learning AAAI 2020 MANTRA: Memory Augmented Networks for Multiple Trajectory Prediction CVPR 2020 ManyModalQA: Modality Disambiguation and QA over Diverse Inputs AAAI 2020 MarioNETte: Few-Shot Face Reenactment Preserving Identity of Unseen Targets AAAI 2020 MART: Memory-Augmented Recurrent Transformer for Coherent Video Paragraph Captioning ACL 2020 Mask CTC: Non-Autoregressive End-to-End ASR with CTC and Mask Predict Interspeech 2020 Masked Language Model Scoring ACL 2020 MaskFlownet: Asymmetric Feature Matching With Learnable Occlusion Mask CVPR 2020 MaskGEC: Improving Neural Grammatical Error Correction via Dynamic Masking AAAI 2020 Masking as an Efficient Alternative to Finetuning for Pretrained Language Models EMNLP 2020 Masking Orchestration: Multi-Task Pretraining for Multi-Role Dialogue Representation Learning AAAI 2020 MAST: A Memory-Augmented Self-Supervised Tracker CVPR 2020 Mastering Complex Control in MOBA Games with Deep Reinforcement Learning AAAI 2020 MAST: Multimodal Abstractive Summarization with Trimodal Hierarchical Attention EMNLP 2020 MATE: Plugging in Model Awareness to Task Embedding for Meta Learning NeurIPS 2020