Learning Types
56,254 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 (1,984)
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
2,020
2000
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'20
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Papers (including subtopics)
HEVS-TUW at SemEval-2023 Task 8: Ensemble of Language Models and Rule-based Classifiers for Claims Identification and PICO Extraction
SemEval 2023
HFMRE: Constructing Huffman Tree in Bags to Find Excellent Instances for Distantly Supervised Relation Extraction
EMNLP 2023
HG-SL: Jointly Learning of Global and Local User Spreading Behavior for Fake News Early Detection
AAAI 2023
HHS at SemEval-2023 Task 10: A Comparative Analysis of Sexism Detection Based on the RoBERTa Model
SemEval 2023
HHU at SemEval-2023 Task 3: An Adapter-based Approach for News Genre Classification
SemEval 2023
HiBug: On Human-Interpretable Model Debug
NeurIPS 2023
HiClass: a Python Library for Local Hierarchical Classification Compatible with Scikit-learn
JMLR 2023
HiCL: Hierarchical Contrastive Learning of Unsupervised Sentence Embeddings
EMNLP 2023
HiCLIP: Contrastive Language-Image Pretraining with Hierarchy-aware Attention
ICLR 2023
Hidden Poison: Machine Unlearning Enables Camouflaged Poisoning Attacks
NeurIPS 2023
Hidding the Ghostwriters: An Adversarial Evaluation of AI-Generated Student Essay Detection
EMNLP 2023
Hiding in Plain Sight: Tweets with Hate Speech Masked by Homoglyphs
EMNLP 2023
Hiding Visual Information via Obfuscating Adversarial Perturbations
ICCV 2023
Hierarchical Apprenticeship Learning for Disease Progression Modeling
IJCAI 2023
Hierarchical clustering with dot products recovers hidden tree structure
NeurIPS 2023
Hierarchical Consistent Contrastive Learning for Skeleton-Based Action Recognition with Growing Augmentations
AAAI 2023
HierarchicalContrast: A Coarse-to-Fine Contrastive Learning Framework for Cross-Domain Zero-Shot Slot Filling
EMNLP 2023
Hierarchical Contrast for Unsupervised Skeleton-Based Action Representation Learning
AAAI 2023
Hierarchical Contrastive Learning for Pattern-Generalizable Image Corruption Detection
ICCV 2023
Hierarchical Contrastive Learning for Temporal Point Processes
AAAI 2023
Hierarchical ConViT with Attention-Based Relational Reasoner for Visual Analogical Reasoning
AAAI 2023
Hierarchical Decomposition of Prompt-Based Continual Learning: Rethinking Obscured Sub-optimality
NeurIPS 2023
Hierarchical Dense Correlation Distillation for Few-Shot Segmentation
CVPR 2023
Hierarchical Diffusion for Offline Decision Making
ICML 2023
Hierarchical Discriminative Learning Improves Visual Representations of Biomedical Microscopy
CVPR 2023