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)
Human-centric dialog training via offline reinforcement learning
EMNLP 2020
Human Consensus-Oriented Image Captioning
IJCAI 2020
HUMAN: Hierarchical Universal Modular ANnotator
EMNLP 2020
Human-Machine Collaboration for Fast Land Cover Mapping
AAAI 2020
Human or Neural Translation?
COLING 2020
HW-TSC’s Participation at WMT 2020 Quality Estimation Shared Task
EMNLP 2020
HW-TSC’s Participation in the WMT 2020 News Translation Shared Task
EMNLP 2020
Hybrid Approaches to Fine-Grained Emotion Detection in Social Media Data
AAAI 2020
HybridQA: A Dataset of Multi-Hop Question Answering over Tabular and Textual Data
EMNLP 2020
Hybrid Transformer/CTC Networks for Hardware Efficient Voice Triggering
Interspeech 2020
HYDRA: Pruning Adversarially Robust Neural Networks
NeurIPS 2020
Hyperbolic Capsule Networks for Multi-Label Classification
ACL 2020
Hyperbolic Interaction Model for Hierarchical Multi-Label Classification
AAAI 2020
Hyperbolic Visual Embedding Learning for Zero-Shot Recognition
CVPR 2020
HyperCore: Hyperbolic and Co-graph Representation for Automatic ICD Coding
ACL 2020
Hypergraph Label Propagation Network
AAAI 2020
HyperNews: Simultaneous News Recommendation and Active-Time Prediction via a Double-Task Deep Neural Network
IJCAI 2020
Hypernymy Detection for Low-Resource Languages via Meta Learning
ACL 2020
Hyperparameter Ensembles for Robustness and Uncertainty Quantification
NeurIPS 2020
HyperSTAR: Task-Aware Hyperparameters for Deep Networks
CVPR 2020
Hypothesis Sketching for Online Kernel Selection in Continuous Kernel Space
IJCAI 2020
I²HRL: Interactive Influence-based Hierarchical Reinforcement Learning
IJCAI 2020
I Am Guessing You Can't Recognize This: Generating Adversarial Images for Object Detection Using Spatial Commonsense (Student Abstract)
AAAI 2020
ICD Coding from Clinical Text Using Multi-Filter Residual Convolutional Neural Network
AAAI 2020
ICE-BeeM: Identifiable Conditional Energy-Based Deep Models Based on Nonlinear ICA
NeurIPS 2020