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
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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)
What Ingredients Make for an Effective Crowdsourcing Protocol for Difficult NLU Data Collection Tasks?
ACL 2021
What is SemEval evaluating? A Systematic Analysis of Evaluation Campaigns in NLP
EMNLP 2021
What Makes a Scientific Paper be Accepted for Publication?
EMNLP 2021
What Makes Instance Discrimination Good for Transfer Learning?
ICLR 2021
What Matters for Adversarial Imitation Learning?
NeurIPS 2021
What’s Hidden in a One-layer Randomly Weighted Transformer?
EMNLP 2021
What the Role is vs. What Plays the Role: Semi-Supervised Event Argument Extraction via Dual Question Answering
AAAI 2021
What to Pre-Train on? Efficient Intermediate Task Selection
EMNLP 2021
What transfers in morphological inflection? Experiments with analogical models
ACL 2021
What Went Wrong? Explaining Overall Dialogue Quality through Utterance-Level Impacts
EMNLP 2021
When Age-Invariant Face Recognition Meets Face Age Synthesis: A Multi-Task Learning Framework
CVPR 2021
When All We Need is a Piece of the Pie: A Generic Framework for Optimizing Two-way Partial AUC
ICML 2021
When does Contrastive Learning Preserve Adversarial Robustness from Pretraining to Finetuning?
NeurIPS 2021
When does Further Pre-training MLM Help? An Empirical Study on Task-Oriented Dialog Pre-training
EMNLP 2021
When Does Gradient Descent with Logistic Loss Find Interpolating Two-Layer Networks?
JMLR 2021
When Do You Need Billions of Words of Pretraining Data?
ACL 2021
When Human Pose Estimation Meets Robustness: Adversarial Algorithms and Benchmarks
CVPR 2021
When in Doubt: Neural Non-Parametric Uncertainty Quantification for Epidemic Forecasting
NeurIPS 2021
When is particle filtering efficient for planning in partially observed linear dynamical systems?
UAI 2021
When Is Unsupervised Disentanglement Possible?
NeurIPS 2021
When Optimizing f-Divergence is Robust with Label Noise
ICLR 2021
When Retriever-Reader Meets Scenario-Based Multiple-Choice Questions
EMNLP 2021
When the Echo Chamber Shatters: Examining the Use of Community-Specific Language Post-Subreddit Ban
ACL 2021
When Will Generative Adversarial Imitation Learning Algorithms Attain Global Convergence
AISTATS 2021
Where and What? Examining Interpretable Disentangled Representations
CVPR 2021