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)
AGORA: Avatars in Geography Optimized for Regression Analysis
CVPR 2021
A Graph-Based Neural Model for End-to-End Frame Semantic Parsing
EMNLP 2021
Agreement-Discrepancy-Selection: Active Learning with Progressive Distribution Alignment
AAAI 2021
Aha! Adaptive History-Driven Attack for Decision-Based Black-Box Models
ICCV 2021
A Highly-Parameterized Ensemble to Play Gin Rummy
AAAI 2021
A Hyperbolic-to-Hyperbolic Graph Convolutional Network
CVPR 2021
A Label-Aware BERT Attention Network for Zero-Shot Multi-Intent Detection in Spoken Language Understanding
EMNLP 2021
A Large-Scale Chinese Multimodal NER Dataset with Speech Clues
ACL 2021
A Large-Scale Study of Machine Translation in Turkic Languages
EMNLP 2021
A Large-Scale Study on Unsupervised Spatiotemporal Representation Learning
CVPR 2021
AligNART: Non-autoregressive Neural Machine Translation by Jointly Learning to Estimate Alignment and Translate
EMNLP 2021
Aligning Cross-lingual Sentence Representations with Dual Momentum Contrast
EMNLP 2021
Aligning Pretraining for Detection via Object-Level Contrastive Learning
NeurIPS 2021
A Limited-Capacity Minimax Theorem for Non-Convex Games or: How I Learned to Stop Worrying about Mixed-Nash and Love Neural Nets
AISTATS 2021
ALL Dolphins Are Intelligent and SOME Are Friendly: Probing BERT for Nouns’ Semantic Properties and their Prototypicality
EMNLP 2021
Allegro.eu Submission to WMT21 News Translation Task
EMNLP 2021
AlphaMatch: Improving Consistency for Semi-Supervised Learning With Alpha-Divergence
CVPR 2021
AlphaNet: Improved Training of Supernets with Alpha-Divergence
ICML 2021
Alpha-Refine: Boosting Tracking Performance by Precise Bounding Box Estimation
CVPR 2021
Alternative Baselines for Low-Shot 3D Medical Image Segmentation---An Atlas Perspective
AAAI 2021
AM2iCo: Evaluating Word Meaning in Context across Low-Resource Languages with Adversarial Examples
EMNLP 2021
Amalgamating Knowledge From Heterogeneous Graph Neural Networks
CVPR 2021
Amata: An Annealing Mechanism for Adversarial Training Acceleration
AAAI 2021
A Max-Min Entropy Framework for Reinforcement Learning
NeurIPS 2021
A Method for Taxonomy-Aware Embeddings Evaluation (Student Abstract)
AAAI 2021