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)
Hierarchical Multi-label Text Classification with Horizontal and Vertical Category Correlations
EMNLP 2021
Hierarchical Multiple Kernel Clustering
AAAI 2021
Hierarchical Neural Dynamic Policies
RSS 2021
Hierarchical Object-to-Zone Graph for Object Navigation
ICCV 2021
Hierarchical Reinforcement Learning for Integrated Recommendation
AAAI 2021
Hierarchical Self-supervised Augmented Knowledge Distillation
IJCAI 2021
Hierarchical Semantic Segmentation using Psychometric Learning
ACML 2021
Hierarchical VAEs Know What They Don’t Know
ICML 2021
HiGAN: Handwriting Imitation Conditioned on Arbitrary-Length Texts and Disentangled Styles
AAAI 2021
High Confidence Generalization for Reinforcement Learning
ICML 2021
High-dimensional Experimental Design and Kernel Bandits
ICML 2021
High Dimensional Level Set Estimation with Bayesian Neural Network
AAAI 2021
Hijack-GAN: Unintended-Use of Pretrained, Black-Box GANs
CVPR 2021
Hindsight Expectation Maximization for Goal-conditioned Reinforcement Learning
AISTATS 2021
Hindsight Task Relabelling: Experience Replay for Sparse Reward Meta-RL
NeurIPS 2021
Hindsight Value Function for Variance Reduction in Stochastic Dynamic Environment
IJCAI 2021
HIRE-SNN: Harnessing the Inherent Robustness of Energy-Efficient Deep Spiking Neural Networks by Training With Crafted Input Noise
ICCV 2021
Histogram Transform Ensembles for Large-scale Regression
JMLR 2021
HiT: Hierarchical Transformer With Momentum Contrast for Video-Text Retrieval
ICCV 2021
HITSZ-HLT at SemEval-2021 Task 5: Ensemble Sequence Labeling and Span Boundary Detection for Toxic Span Detection
SemEval 2021
HLE-UPC at SemEval-2021 Task 5: Multi-Depth DistilBERT for Toxic Spans Detection
SemEval 2021
“Hold on honey, men at work”: A semi-supervised approach to detecting sexism in sitcoms
ACL 2021
Home Action Genome: Cooperative Compositional Action Understanding
CVPR 2021
Honey or Poison? Solving the Trigger Curse in Few-shot Event Detection via Causal Intervention
EMNLP 2021
Hopeful NLP@LT-EDI-EACL2021: Finding Hope in YouTube Comment Section
EACL 2021