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)
Online Knowledge Distillation with Diverse Peers
AAAI 2020
Online Monaural Speech Enhancement Using Delayed Subband LSTM
Interspeech 2020
On Losses for Modern Language Models
EMNLP 2020
On Loss Functions and Recurrency Training for GAN-Based Speech Enhancement Systems
Interspeech 2020
On Mutual Information Maximization for Representation Learning
ICLR 2020
On Negative Interference in Multilingual Models: Findings and A Meta-Learning Treatment
EMNLP 2020
On Positive-Unlabeled Classification in GAN
CVPR 2020
On Relativistic f-Divergences
ICML 2020
On Romanization for Model Transfer Between Scripts in Neural Machine Translation
EMNLP 2020
On Solving Minimax Optimization Locally: A Follow-the-Ridge Approach
ICLR 2020
On Synthesis for Supervised Monaural Speech Separation in Time Domain
Interspeech 2020
On the Branching Bias of Syntax Extracted from Pre-trained Language Models
EMNLP 2020
On the Convergence of FedAvg on Non-IID Data
ICLR 2020
On the Cross-lingual Transferability of Monolingual Representations
ACL 2020
On the Encoder-Decoder Incompatibility in Variational Text Modeling and Beyond
ACL 2020
On-The-Fly Information Retrieval Augmentation for Language Models
ACL 2020
On the General Value of Evidence, and Bilingual Scene-Text Visual Question Answering
CVPR 2020
On the Generation of Medical Question-Answer Pairs
AAAI 2020
On the Importance of Adaptive Data Collection for Extremely Imbalanced Pairwise Tasks
EMNLP 2020
On the Importance of Word and Sentence Representation Learning in Implicit Discourse Relation Classification
IJCAI 2020
On the Interplay Between Fine-tuning and Sentence-Level Probing for Linguistic Knowledge in Pre-Trained Transformers
EMNLP 2020
On the Learning Property of Logistic and Softmax Losses for Deep Neural Networks
AAAI 2020
On the Limitations of Cross-lingual Encoders as Exposed by Reference-Free Machine Translation Evaluation
ACL 2020
On the Potential of Lexico-logical Alignments for Semantic Parsing to SQL Queries
EMNLP 2020
On the Robustness and Training Dynamics of Raw Waveform Models
Interspeech 2020