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)
Improving Lives of Indebted Farmers Using Deep Learning: Predicting Agricultural Produce Prices Using Convolutional Neural Networks
AAAI 2020
Improving Low Resource Code-Switched ASR Using Augmented Code-Switched TTS
Interspeech 2020
Improving Massively Multilingual Neural Machine Translation and Zero-Shot Translation
ACL 2020
Improving model calibration with accuracy versus uncertainty optimization
NeurIPS 2020
Improving Multilingual Models with Language-Clustered Vocabularies
EMNLP 2020
Improving Multimodal Named Entity Recognition via Entity Span Detection with Unified Multimodal Transformer
ACL 2020
Improving Neural Machine Translation with Soft Template Prediction
ACL 2020
Improving NMT via Filtered Back Translation
AACL 2020
Improving Non-autoregressive Neural Machine Translation with Monolingual Data
ACL 2020
Improving Parallel Data Identification using Iteratively Refined Sentence Alignments and Bilingual Mappings of Pre-trained Language Models
EMNLP 2020
Improving Question Generation with Sentence-Level Semantic Matching and Answer Position Inferring
AAAI 2020
Improving robustness against common corruptions by covariate shift adaptation
NeurIPS 2020
Improving Tandem Mass Spectra Analysis with Hierarchical Learning
IJCAI 2020
Improving Text Generation with Student-Forcing Optimal Transport
EMNLP 2020
Improving the Ability of Deep Neural Networks to Use Information from Multiple Views in Breast Cancer Screening
MIDL 2020
Improving the Gating Mechanism of Recurrent Neural Networks
ICML 2020
Improving the Robustness of Capsule Networks to Image Affine Transformations
CVPR 2020
Improving the Robustness of Wasserstein Embedding by Adversarial PAC-Bayesian Learning
AAAI 2020
Improving the Speaker Identity of Non-Parallel Many-to-Many Voice Conversion with Adversarial Speaker Recognition
Interspeech 2020
Improving Transformer-Based Speech Recognition with Unsupervised Pre-Training and Multi-Task Semantic Knowledge Learning
Interspeech 2020
Improving Transformer Models by Reordering their Sublayers
ACL 2020
IMRAM: Iterative Matching With Recurrent Attention Memory for Cross-Modal Image-Text Retrieval
CVPR 2020
ImVoteNet: Boosting 3D Object Detection in Point Clouds With Image Votes
CVPR 2020
Incomplete Utterance Rewriting as Semantic Segmentation
EMNLP 2020
Incorporating a Local Translation Mechanism into Non-autoregressive Translation
EMNLP 2020