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
1
22
25
29
26
38
46
60
109
129
179
310
686
1,294
2,286
3,018
3,254
3,930
4,067
4,819
5,737
2,605
'10
'15
'20
'25
Papers (including subtopics)
Mirror Learning: A Unifying Framework of Policy Optimisation
ICML 2022
Mitigating Contradictions in Dialogue Based on Contrastive Learning
ACL 2022
Mitigating Data Sparsity for Short Text Topic Modeling by Topic-Semantic Contrastive Learning
EMNLP 2022
Mitigating Gender Bias in Distilled Language Models via Counterfactual Role Reversal
ACL 2022
Mitigating Inconsistencies in Multimodal Sentiment Analysis under Uncertain Missing Modalities
EMNLP 2022
Mitigating Modality Collapse in Multimodal VAEs via Impartial Optimization
ICML 2022
Mitigating Toxic Degeneration with Empathetic Data: Exploring the Relationship Between Toxicity and Empathy
NAACL 2022
Mix and Localize: Localizing Sound Sources in Mixtures
CVPR 2022
Mix and Reason: Reasoning over Semantic Topology with Data Mixing for Domain Generalization
NeurIPS 2022
Mixed-effects transformers for hierarchical adaptation
EMNLP 2022
Mixed Embedding of XLM for Unsupervised Cantonese-Chinese Neural Machine Translation (Student Abstract)
AAAI 2022
Mixture-of-Experts with Expert Choice Routing
NeurIPS 2022
Mixup regularization strategies for spoofing countermeasure system
Interspeech 2022
MLP-3D: A MLP-Like 3D Architecture With Grouped Time Mixing
CVPR 2022
MLSLT: Towards Multilingual Sign Language Translation
CVPR 2022
mLUKE: The Power of Entity Representations in Multilingual Pretrained Language Models
ACL 2022
MM-Align: Learning Optimal Transport-based Alignment Dynamics for Fast and Accurate Inference on Missing Modality Sequences
EMNLP 2022
MMAN: Metapath Based Multi-Level Graph Attention Networks for Heterogeneous Network Embedding (Student Abstract)
AAAI 2022
MMEKG: Multi-modal Event Knowledge Graph towards Universal Representation across Modalities
ACL 2022
MMNet: Muscle Motion-Guided Network for Micro-Expression Recognition
IJCAI 2022
MMT: Multi-way Multi-modal Transformer for Multimodal Learning
IJCAI 2022
MM-TTA: Multi-Modal Test-Time Adaptation for 3D Semantic Segmentation
CVPR 2022
MoCapAct: A Multi-Task Dataset for Simulated Humanoid Control
NeurIPS 2022
MOCHA: A Multi-Task Training Approach for Coherent Text Generation from Cognitive Perspective
EMNLP 2022
Modality-Adaptive Mixup and Invariant Decomposition for RGB-Infrared Person Re-identification
AAAI 2022