Learning Types
56,253 papers (3 classified directly here)
Subtopics · a paper can sit in several, so these overlap
Self-Supervised Learning (8,965)
Adversarial Learning (5,204)
Unsupervised Learning (4,874)
Transfer Learning (4,808)
Weakly Supervised Learning (3,938)
Contrastive Learning (3,748)
Zero-Shot Learning (3,130)
Semi-Supervised Learning (3,128)
Reinforcement Learning (3,118)
Multi-Task Learning (2,556)
Evaluation (2,164)
Continual Learning (2,107)
Active Learning (1,983)
Few-Shot Learning (1,840)
Deep Learning (1,404)
Online Learning (1,360)
Multi-Armed Bandits (1,327)
Multimodal Learning (1,289)
Supervised Learning (986)
Multi-Agent Systems (813)
Uncertainty Quantification (805)
Causal Inference (636)
Robustness (576)
Retrieval-Augmented Generation (565)
Fine-Tuning (490)
Ensemble Learning (482)
In-Context Learning (439)
Multi-Label Classification (430)
Imitation Learning (387)
Prompt Engineering (270)
Multi-Lingual Learning (269)
Distribution Shift (264)
Reinforcement Learning from Human Feedback (209)
Regularization (207)
Exploration-Exploitation (203)
Generative Models (200)
Multi-Objective Optimization (185)
Out-of-Distribution Detection (176)
Sparse Learning (165)
Sampling (150)
Preference Learning (136)
Offline Reinforcement Learning (130)
Multi-Label Learning (128)
Markov Decision Process (127)
Neural Architecture Search (122)
Multi-Instance Learning (121)
Multi-View Learning (117)
Robust Learning (110)
Generative Model (110)
Time Series (108)
Large Language Models (104)
Exploration (103)
Hyperparameter Optimization (99)
Machine Unlearning (95)
Imbalanced Learning (93)
Machine Translation (93)
Multi-Class Classification (85)
Differential Privacy (82)
Time Series Analysis (71)
Reasoning (70)
Calibration (67)
Structure Learning (66)
Physics-Informed Learning (62)
Class Imbalance (58)
Model-Based RL (55)
Interactive Learning (55)
Multi-Domain Learning (47)
Inverse Reinforcement Learning (46)
Crowdsourcing (40)
Off-Policy Learning (38)
Label Noise (38)
Noisy Label Learning (35)
Offline RL (32)
Attention (32)
Evolutionary Algorithm (32)
Decision Making (31)
Policy Learning (30)
Personalization (28)
Low-Resource Learning (26)
Collaborative Filtering (25)
Self-Training (24)
Sequential Modeling (24)
Parameter Estimation (23)
Survival Analysis (21)
Machine Learning (20)
Parameter-Efficient Fine-Tuning (20)
Synthetic Data Generation (20)
Annotation (18)
Symbolic Regression (18)
AutoML (16)
Security (15)
Multi-Source Learning (13)
Distant Supervision (13)
Text Generation (11)
Distributional Reinforcement Learning (9)
Sentiment Analysis (9)
Multi-Hop Reasoning (9)
Language Modeling (9)
Code Generation (8)
Multi-Object Tracking (8)
Natural Language Inference (7)
Chain-of-Thought (6)
Question Answering (5)
Papers per year
1
8
12
26
18
20
135
136
147
149
220
231
316
526
460
477
660
1,314
2,083
3,689
4,652
5,914
6,826
8,201
8,755
9,258
2,019
2000
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Papers (including subtopics)
Change Is Everywhere: Single-Temporal Supervised Object Change Detection in Remote Sensing Imagery
ICCV 2021
Change Matters: Medication Change Prediction with Recurrent Residual Networks
IJCAI 2021
Changes in European Solidarity Before and During COVID-19: Evidence from a Large Crowd- and Expert-Annotated Twitter Dataset
ACL 2021
Changing the Mind of Transformers for Topically-Controllable Language Generation
EACL 2021
Channel Augmented Joint Learning for Visible-Infrared Recognition
ICCV 2021
Channel-Wise Gated Res2Net: Towards Robust Detection of Synthetic Speech Attacks
Interspeech 2021
Character-based PCFG Induction for Modeling the Syntactic Acquisition of Morphologically Rich Languages
EMNLP 2021
Characterizing Fairness Over the Set of Good Models Under Selective Labels
ICML 2021
Characterizing Generalization under Out-Of-Distribution Shifts in Deep Metric Learning
NeurIPS 2021
Characterizing the Evasion Attackability of Multi-label Classifiers
AAAI 2021
Characterizing the Gap Between Actor-Critic and Policy Gradient
ICML 2021
Character Transformations for Non-Autoregressive GEC Tagging
EMNLP 2021
Chase: A Large-Scale and Pragmatic Chinese Dataset for Cross-Database Context-Dependent Text-to-SQL
ACL 2021
ChemNER: Fine-Grained Chemistry Named Entity Recognition with Ontology-Guided Distant Supervision
EMNLP 2021
CheXseg: Combining Expert Annotations with DNN-generated Saliency Maps for X-ray Segmentation
MIDL 2021
ChicHealth @ MEDIQA 2021: Exploring the limits of pre-trained seq2seq models for medical summarization
NAACL 2021
Chinese WPLC: A Chinese Dataset for Evaluating Pretrained Language Models on Word Prediction Given Long-Range Context
EMNLP 2021
Chronological Self-Training for Real-Time Speaker Diarization
Interspeech 2021
CIDEr-R: Robust Consensus-based Image Description Evaluation
EMNLP 2021
CIFS: Improving Adversarial Robustness of CNNs via Channel-wise Importance-based Feature Selection
ICML 2021
CIL: Contrastive Instance Learning Framework for Distantly Supervised Relation Extraction
ACL 2021
CIMON: Towards High-quality Hash Codes
IJCAI 2021
CIT-GAN: Cyclic Image Translation Generative Adversarial Network With Application in Iris Presentation Attack Detection
WACV 2021
Civil Rephrases Of Toxic Texts With Self-Supervised Transformers
EACL 2021
CLaC-np at SemEval-2021 Task 8: Dependency DGCNN
SemEval 2021