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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'20
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Papers (including subtopics)
Detecting Rewards Deterioration in Episodic Reinforcement Learning
ICML 2021
Detecting Speaker Personas from Conversational Texts
EMNLP 2021
Detection and Continual Learning of Novel Face Presentation Attacks
ICCV 2021
Detection and Defense of Topological Adversarial Attacks on Graphs
AISTATS 2021
Detector-Free Weakly Supervised Grounding by Separation
ICCV 2021
Dethroning Aristocracy in Graphs via Adversarial Perturbations (Student Abstract)
AAAI 2021
Developing a Benchmark for Reducing Data Bias in Authorship Attribution
EMNLP 2021
Developing Conversational Data and Detection of Conversational Humor in Telugu
EMNLP 2021
Devil’s Advocate: Novel Boosting Ensemble Method from Psychological Findings for Text Classification
EMNLP 2021
DFAC Framework: Factorizing the Value Function via Quantile Mixture for Multi-Agent Distributional Q-Learning
ICML 2021
DG-Font: Deformable Generative Networks for Unsupervised Font Generation
CVPR 2021
Diagnose Like A Pathologist: Weakly-Supervised Pathologist-Tree Network for Slide-Level Immunohistochemical Scoring
AAAI 2021
Diagnosing the First-Order Logical Reasoning Ability Through LogicNLI
EMNLP 2021
Dialect Identification through Adversarial Learning and Knowledge Distillation on Romanian BERT
EACL 2021
DIALKI: Knowledge Identification in Conversational Systems through Dialogue-Document Contextualization
EMNLP 2021
DialogBERT: Discourse-Aware Response Generation via Learning to Recover and Rank Utterances
AAAI 2021
Dialog Policy Learning for Joint Clarification and Active Learning Queries
AAAI 2021
DialogueCRN: Contextual Reasoning Networks for Emotion Recognition in Conversations
ACL 2021
DialogueCSE: Dialogue-based Contrastive Learning of Sentence Embeddings
EMNLP 2021
DICE: Diversity in Deep Ensembles via Conditional Redundancy Adversarial Estimation
ICLR 2021
Dichotomous Optimistic Search to Quantify Human Perception
ICML 2021
Differentiable Unsupervised Feature Selection based on a Gated Laplacian
NeurIPS 2021
Differential Evaluation: a Qualitative Analysis of Natural Language Processing System Behavior Based Upon Data Resistance to Processing
EMNLP 2021
Differentially Private Correlation Alignment for Domain Adaptation
IJCAI 2021
Differentially Private Multi-Armed Bandits in the Shuffle Model
NeurIPS 2021