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)
Boosting Offline Reinforcement Learning with Residual Generative Modeling
IJCAI 2021
Boosting Weakly Supervised Object Detection via Learning Bounding Box Adjusters
ICCV 2021
Boosting with Multiple Sources
NeurIPS 2021
Bootstrap an End-to-End ASR System by Multilingual Training, Transfer Learning, Text-to-Text Mapping and Synthetic Audio
Interspeech 2021
Bootstrapped Unsupervised Sentence Representation Learning
ACL 2021
Bootstrapping a Music Voice Assistant with Weak Supervision
NAACL 2021
Bootstrapping Dialog Models from Human to Human Conversation Logs
AAAI 2021
Bootstrapping Fitted Q-Evaluation for Off-Policy Inference
ICML 2021
Bootstrapping Large-Scale Fine-Grained Contextual Advertising Classifier from Wikipedia
NAACL 2021
Bootstrapping Multilingual AMR with Contextual Word Alignments
EACL 2021
Bootstrap Your Object Detector via Mixed Training
NeurIPS 2021
Bootstrap Your Own Correspondences
ICCV 2021
BooVAE: Boosting Approach for Continual Learning of VAE
NeurIPS 2021
BossNAS: Exploring Hybrid CNN-Transformers With Block-Wisely Self-Supervised Neural Architecture Search
ICCV 2021
Boundary IoU: Improving Object-Centric Image Segmentation Evaluation
CVPR 2021
Boundary Knowledge Translation based Reference Semantic Segmentation
IJCAI 2021
Boundary-Sensitive Pre-Training for Temporal Localization in Videos
ICCV 2021
Bounded Memory Active Learning through Enriched Queries
COLT 2021
Bounded Risk-Sensitive Markov Games: Forward Policy Design and Inverse Reward Learning with Iterative Reasoning and Cumulative Prospect Theory
AAAI 2021
Bounding Causal Effects on Continuous Outcome
AAAI 2021
BoxInst: High-Performance Instance Segmentation With Box Annotations
CVPR 2021
BPM_MT: Enhanced Backchannel Prediction Model using Multi-Task Learning
EMNLP 2021
Brain Image Synthesis With Unsupervised Multivariate Canonical CSCl4Net
CVPR 2021
Breaking Shortcuts by Masking for Robust Visual Reasoning
WACV 2021
Breaking the Dilemma of Medical Image-to-image Translation
NeurIPS 2021