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)
HopRetriever: Retrieve Hops over Wikipedia to Answer Complex Questions
AAAI 2021
HOT-VAE: Learning High-Order Label Correlation for Multi-Label Classification via Attention-Based Variational Autoencoders
AAAI 2021
House-GAN++: Generative Adversarial Layout Refinement Network towards Intelligent Computational Agent for Professional Architects
CVPR 2021
How does a Neural Network's Architecture Impact its Robustness to Noisy Labels?
NeurIPS 2021
How Does Counterfactually Augmented Data Impact Models for Social Computing Constructs?
EMNLP 2021
How Does Data Augmentation Affect Privacy in Machine Learning?
AAAI 2021
How Does Mixup Help With Robustness and Generalization?
ICLR 2021
How Do We Move: Modeling Human Movement with System Dynamics
AAAI 2021
How Good is Your Tokenizer? On the Monolingual Performance of Multilingual Language Models
ACL 2021
How Good (really) are Grammatical Error Correction Systems?
EACL 2021
How Knowledge Graph and Attention Help? A Qualitative Analysis into Bag-level Relation Extraction
ACL 2021
How Length Prediction Influence the Performance of Non-Autoregressive Translation?
EMNLP 2021
How many data points is a prompt worth?
NAACL 2021
How May I Help You? Using Neural Text Simplification to Improve Downstream NLP Tasks
EMNLP 2021
How Might We Create Better Benchmarks for Speech Recognition?
ACL 2021
How much coffee was consumed during EMNLP 2019? Fermi Problems: A New Reasoning Challenge for AI
EMNLP 2021
How RL Agents Behave When Their Actions Are Modified
AAAI 2021
How Robust Are Randomized Smoothing Based Defenses to Data Poisoning?
CVPR 2021
How Should Pre-Trained Language Models Be Fine-Tuned Towards Adversarial Robustness?
NeurIPS 2021
How to Adapt Your Pretrained Multilingual Model to 1600 Languages
ACL 2021
How To Exploit the Transferability of Learned Image Compression to Conventional Codecs
CVPR 2021
How to Find Your Friendly Neighborhood: Graph Attention Design with Self-Supervision
ICLR 2021
How to Learn when Data Reacts to Your Model: Performative Gradient Descent
ICML 2021
How to leverage the multimodal EHR data for better medical prediction?
EMNLP 2021
How to Make a BLT Sandwich? Learning VQA Towards Understanding Web Instructional Videos
WACV 2021