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
'5
'10
'15
'20
'25
Papers (including subtopics)
Bilinear Exponential Family of MDPs: Frequentist Regret Bound with Tractable Exploration & Planning
AAAI 2023
Billy-Batson at SemEval-2023 Task 5: An Information Condensation based System for Clickbait Spoiling
SemEval 2023
Binary Classification with Confidence Difference
NeurIPS 2023
BioFEG: Generate Latent Features for Biomedical Entity Linking
EMNLP 2023
Biomedical Named Entity Recognition via Dictionary-based Synonym Generalization
EMNLP 2023
BioPlanner: Automatic Evaluation of LLMs on Protocol Planning in Biology
EMNLP 2023
BIOptimus: Pre-training an Optimal Biomedical Language Model with Curriculum Learning for Named Entity Recognition
ACL 2023
BioT5: Enriching Cross-modal Integration in Biology with Chemical Knowledge and Natural Language Associations
EMNLP 2023
BIOT: Biosignal Transformer for Cross-data Learning in the Wild
NeurIPS 2023
Bipartite Graph Pre-training for Unsupervised Extractive Summarization with Graph Convolutional Auto-Encoders
EMNLP 2023
BIRD: Generalizable Backdoor Detection and Removal for Deep Reinforcement Learning
NeurIPS 2023
Birds of an odd feather: guaranteed out-of-distribution (OOD) novel category detection
UAI 2023
BirdSoundsDenoising: Deep Visual Audio Denoising for Bird Sounds
WACV 2023
BiRDy: Bullying Role Detection in Multi-Party Chats
AAAI 2023
BiRT: Bio-inspired Replay in Vision Transformers for Continual Learning
ICML 2023
Birth of a Transformer: A Memory Viewpoint
NeurIPS 2023
BiSLS/SPS: Auto-tune Step Sizes for Stable Bi-level Optimization
NeurIPS 2023
BiSPN: Generating Entity Set and Relation Set Coherently in One Pass
EMNLP 2023
BITE: Textual Backdoor Attacks with Iterative Trigger Injection
ACL 2023
Bitrate-Constrained DRO: Beyond Worst Case Robustness To Unknown Group Shifts
ICLR 2023
BKinD-3D: Self-Supervised 3D Keypoint Discovery From Multi-View Videos
CVPR 2023
Blackbird language matrices (BLM), a new task for rule-like generalization in neural networks: Can Large Language Models pass the test?
EMNLP 2023
Black-Box Adversarial Attack on Time Series Classification
AAAI 2023
Black-box Backdoor Defense via Zero-shot Image Purification
NeurIPS 2023
Black-Box Data Poisoning Attacks on Crowdsourcing
IJCAI 2023