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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'20
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Papers (including subtopics)
Co2L: Contrastive Continual Learning
ICCV 2021
Coach-Player Multi-agent Reinforcement Learning for Dynamic Team Composition
ICML 2021
Coarse2Fine: Fine-grained Text Classification on Coarsely-grained Annotated Data
EMNLP 2021
Coarsely-Labeled Data for Better Few-Shot Transfer
ICCV 2021
Coarse Temporal Attention Network (CTA-Net) for Driver's Activity Recognition
WACV 2021
COCO-LM: Correcting and Contrasting Text Sequences for Language Model Pretraining
NeurIPS 2021
CoCoNets: Continuous Contrastive 3D Scene Representations
CVPR 2021
CoCosNet v2: Full-Resolution Correspondence Learning for Image Translation
CVPR 2021
Code Completion by Modeling Flattened Abstract Syntax Trees as Graphs
AAAI 2021
Code Generation from Natural Language with Less Prior Knowledge and More Monolingual Data
ACL 2021
Code-Mixing on Sesame Street: Dawn of the Adversarial Polyglots
NAACL 2021
Co-evolution of language and agents in referential games
EACL 2021
Co-evolution Transformer for Protein Contact Prediction
NeurIPS 2021
Co-GAIL: Learning Diverse Strategies for Human-Robot Collaboration
CoRL 2021
Co-GAT: A Co-Interactive Graph Attention Network for Joint Dialog Act Recognition and Sentiment Classification
AAAI 2021
CogNLP-Sheffield at CMCL 2021 Shared Task: Blending Cognitively Inspired Features with Transformer-based Language Models for Predicting Eye Tracking Patterns
NAACL 2021
CogTree: Cognition Tree Loss for Unbiased Scene Graph Generation
IJCAI 2021
COHESIV: Contrastive Object and Hand Embedding Segmentation In Video
NeurIPS 2021
COIN: Conversational Interactive Networks for Emotion Recognition in Conversation
NAACL 2021
CoLA: Weakly-Supervised Temporal Action Localization With Snippet Contrastive Learning
CVPR 2021
Cold Start Problem For Automated Live Video Comments
NAACL 2021
Cold-start Sequential Recommendation via Meta Learner
AAAI 2021
Collaborative and Adversarial Learning of Focused and Dispersive Representations for Semi-Supervised Polyp Segmentation
ICCV 2021
Collaborative Bayesian Optimization with Fair Regret
ICML 2021
Collaborative Causal Discovery with Atomic Interventions
NeurIPS 2021