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)
From Language to Programs: Bridging Reinforcement Learning and Maximum Marginal Likelihood
ACL 2017
From Motion Blur to Motion Flow: A Deep Learning Solution for Removing Heterogeneous Motion Blur
CVPR 2017
G2DeNet: Global Gaussian Distribution Embedding Network and Its Application to Visual Recognition
CVPR 2017
Gated Feedback Refinement Network for Dense Image Labeling
CVPR 2017
Gated Recurrent Convolution Neural Network for OCR
NeurIPS 2017
Gaze Embeddings for Zero-Shot Image Classification
CVPR 2017
Generalized Deep Image to Image Regression
CVPR 2017
Generalizing GANs: A Turing Perspective
NeurIPS 2017
Generating and Exploiting Large-scale Pseudo Training Data for Zero Pronoun Resolution
ACL 2017
Generating Descriptions With Grounded and Co-Referenced People
CVPR 2017
Generating steganographic images via adversarial training
NeurIPS 2017
Generation of Large-Scale Simulated Utterances in Virtual Rooms to Train Deep-Neural Networks for Far-Field Speech Recognition in Google Home
Interspeech 2017
Generative Adversarial Network-Based Glottal Waveform Model for Statistical Parametric Speech Synthesis
Interspeech 2017
Geometric Deep Learning on Graphs and Manifolds Using Mixture Model CNNs
CVPR 2017
Globally Normalized Reader
EMNLP 2017
Global Syllable Vectors for Building TTS Front-End with Deep Learning
Interspeech 2017
Good Semi-supervised Learning That Requires a Bad GAN
NeurIPS 2017
Graph-based Isometry Invariant Representation Learning
ICML 2017
Graph Convolutional Encoders for Syntax-aware Neural Machine Translation
EMNLP 2017
Graph-Structured Representations for Visual Question Answering
CVPR 2017
GuessWhat?! Visual Object Discovery Through Multi-Modal Dialogue
CVPR 2017
Guided Open Vocabulary Image Captioning with Constrained Beam Search
EMNLP 2017
Handling Cold-Start Problem in Review Spam Detection by Jointly Embedding Texts and Behaviors
ACL 2017
Harmonic Networks: Deep Translation and Rotation Equivariance
CVPR 2017
Hash Embeddings for Efficient Word Representations
NeurIPS 2017