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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526
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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)
Defense against Synonym Substitution-based Adversarial Attacks via Dirichlet Neighborhood Ensemble
ACL 2021
Defense-Friendly Images in Adversarial Attacks: Dataset and Metrics for Perturbation Difficulty
WACV 2021
Defocus Map Estimation and Deblurring From a Single Dual-Pixel Image
ICCV 2021
DEHB: Evolutionary Hyberband for Scalable, Robust and Efficient Hyperparameter Optimization
IJCAI 2021
DeHiB: Deep Hidden Backdoor Attack on Semi-supervised Learning via Adversarial Perturbation
AAAI 2021
DELA Corpus - A Document-Level Corpus Annotated with Context-Related Issues
EMNLP 2021
Delving into Data: Effectively Substitute Training for Black-box Attack
CVPR 2021
Demiguise Attack: Crafting Invisible Semantic Adversarial Perturbations with Perceptual Similarity
IJCAI 2021
Democratizing Constraint Satisfaction Problems through Machine Learning
AAAI 2021
Demonstrating the Reliability of Self-Annotated Emotion Data
NAACL 2021
Demonstration-Conditioned Reinforcement Learning for Few-Shot Imitation
ICML 2021
Demonstration of the EMPATHIC Framework for Task Learning from Implicit Human Feedback
AAAI 2021
Demoting the Lead Bias in News Summarization via Alternating Adversarial Learning
ACL 2021
Denoise and Contrast for Category Agnostic Shape Completion
CVPR 2021
Denoising Distantly Supervised Named Entity Recognition via a Hypergeometric Probabilistic Model
AAAI 2021
Denoising Word Embeddings by Averaging in a Shared Space
ACL 2021
Dense Contrastive Learning for Self-Supervised Visual Pre-Training
CVPR 2021
Dense for the Price of Sparse: Improved Performance of Sparsely Initialized Networks via a Subspace Offset
ICML 2021
Dense Keypoints via Multiview Supervision
NeurIPS 2021
Densely connected normalizing flows
NeurIPS 2021
Dense Relation Distillation With Context-Aware Aggregation for Few-Shot Object Detection
CVPR 2021
DenserNet: Weakly Supervised Visual Localization Using Multi-Scale Feature Aggregation
AAAI 2021
Dense Unsupervised Learning for Video Segmentation
NeurIPS 2021
Density of States Estimation for Out of Distribution Detection
AISTATS 2021
Dependency Induction Through the Lens of Visual Perception
CoNLL 2021