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)
LOT: Layer-wise Orthogonal Training on Improving l2 Certified Robustness
NeurIPS 2022
Lottery Tickets on a Data Diet: Finding Initializations with Sparse Trainable Networks
NeurIPS 2022
Low-complex and Highly-performed Binary Residual Neural Network for Small-footprint Keyword Spotting
Interspeech 2022
Low-data? No problem: low-resource, language-agnostic conversational text-to-speech via F0-conditioned data augmentation
Interspeech 2022
Low-Degree Multicalibration
COLT 2022
Low-Light Image Enhancement with Normalizing Flow
AAAI 2022
Low-Rank Modular Reinforcement Learning via Muscle Synergy
NeurIPS 2022
Low-Resource Adaptation of Open-Domain Generative Chatbots
ACL 2022
Low Resource Causal Event Detection from Biomedical Literature
ACL 2022
Low Resource Comparison of Attention-based and Hybrid ASR Exploiting wav2vec 2.0
Interspeech 2022
Low-resource Interactive Active Labeling for Fine-tuning Language Models
EMNLP 2022
Low-resource Low-footprint Wake-word Detection using Knowledge Distillation
Interspeech 2022
Low-resource Neural Machine Translation with Cross-modal Alignment
EMNLP 2022
LPS@LT-EDI-ACL2022:An Ensemble Approach about Hope Speech Detection
ACL 2022
LST: Ladder Side-Tuning for Parameter and Memory Efficient Transfer Learning
NeurIPS 2022
LSVC: A Learning-Based Stereo Video Compression Framework
CVPR 2022
LTMD: Learning Improvement of Spiking Neural Networks with Learnable Thresholding Neurons and Moderate Dropout
NeurIPS 2022
LUL’s WMT22 Automatic Post-Editing Shared Task Submission
EMNLP 2022
LUNAR: Unifying Local Outlier Detection Methods via Graph Neural Networks
AAAI 2022
LVP-M3: Language-aware Visual Prompt for Multilingual Multimodal Machine Translation
EMNLP 2022
M3L: Language-Based Video Editing via Multi-Modal Multi-Level Transformers
CVPR 2022
M³ViT: Mixture-of-Experts Vision Transformer for Efficient Multi-task Learning with Model-Accelerator Co-design
NeurIPS 2022
m4 Adapter: Multilingual Multi-Domain Adaptation for Machine Translation with a Meta-Adapter
EMNLP 2022
M4Singer: A Multi-Style, Multi-Singer and Musical Score Provided Mandarin Singing Corpus
NeurIPS 2022
M5Product: Self-Harmonized Contrastive Learning for E-Commercial Multi-Modal Pretraining
CVPR 2022