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)
Here’s My Point: Joint Pointer Architecture for Argument Mining
EMNLP 2017
Hiding Images in Plain Sight: Deep Steganography
NeurIPS 2017
Hierarchical LSTMs with Joint Learning for Estimating Customer Satisfaction from Contact Center Calls
Interspeech 2017
High-Order Attention Models for Visual Question Answering
NeurIPS 2017
Houdini: Fooling Deep Structured Visual and Speech Recognition Models with Adversarial Examples
NeurIPS 2017
How Grammatical is Character-level Neural Machine Translation? Assessing MT Quality with Contrastive Translation Pairs
EACL 2017
How Well Can We Predict Hypernyms from Word Embeddings? A Dataset-Centric Analysis
EACL 2017
HPatches: A Benchmark and Evaluation of Handcrafted and Learned Local Descriptors
CVPR 2017
Human Centered NLP with User-Factor Adaptation
EMNLP 2017
Hunt For The Unique, Stable, Sparse And Fast Feature Learning On Graphs
NeurIPS 2017
Hybrid Acoustic-Lexical Deep Learning Approach for Deception Detection
Interspeech 2017
Hybrid Code Networks: practical and efficient end-to-end dialog control with supervised and reinforcement learning
ACL 2017
Hybrid Neural Network Alignment and Lexicon Model in Direct HMM for Statistical Machine Translation
ACL 2017
iCaRL: Incremental Classifier and Representation Learning
CVPR 2017
Ideal Ratio Mask Estimation Using Deep Neural Networks for Monaural Speech Segregation in Noisy Reverberant Conditions
Interspeech 2017
Identifying attack and support argumentative relations using deep learning
EMNLP 2017
Identifying beneficial task relations for multi-task learning in deep neural networks
EACL 2017
Identifying civilians killed by police with distantly supervised entity-event extraction
EMNLP 2017
Identifying First-Person Camera Wearers in Third-Person Videos
CVPR 2017
Identifying Humor in Reviews using Background Text Sources
EMNLP 2017
Identifying Where to Focus in Reading Comprehension for Neural Question Generation
EMNLP 2017
Idiom-Aware Compositional Distributed Semantics
EMNLP 2017
IM2CAD
CVPR 2017
Image Pivoting for Learning Multilingual Multimodal Representations
EMNLP 2017
Image Splicing Detection via Camera Response Function Analysis
CVPR 2017