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)
Continual Learning for Task-oriented Dialogue System with Iterative Network Pruning, Expanding and Masking
ACL 2021
Continual Learning for Text Classification with Information Disentanglement Based Regularization
NAACL 2021
Continual Learning in Multilingual NMT via Language-Specific Embeddings
EMNLP 2021
Continual learning in recurrent neural networks
ICLR 2021
Continual Learning in Task-Oriented Dialogue Systems
EMNLP 2021
Continual Learning in the Teacher-Student Setup: Impact of Task Similarity
ICML 2021
Continual Learning on Noisy Data Streams via Self-Purified Replay
ICCV 2021
Continual Learning using a Bayesian Nonparametric Dictionary of Weight Factors
AISTATS 2021
Continual Learning via Bit-Level Information Preserving
CVPR 2021
Continual Learning via Local Module Composition
NeurIPS 2021
Continual Lifelong Learning for Intelligent Agents
IJCAI 2021
Continual Neural Mapping: Learning an Implicit Scene Representation From Sequential Observations
ICCV 2021
Continual Prototype Evolution: Learning Online From Non-Stationary Data Streams
ICCV 2021
Continual Quality Estimation with Online Bayesian Meta-Learning
ACL 2021
Continual Representation Learning for Biometric Identification
WACV 2021
Continual Semantic Segmentation via Repulsion-Attraction of Sparse and Disentangled Latent Representations
CVPR 2021
Continual World: A Robotic Benchmark For Continual Reinforcement Learning
NeurIPS 2021
Continuous Coordination As a Realistic Scenario for Lifelong Learning
ICML 2021
Continuous Entailment Patterns for Lexical Inference in Context
EMNLP 2021
Continuous Language Generative Flow
ACL 2021
Continuous Learning in Neural Machine Translation using Bilingual Dictionaries
EACL 2021
Continuous-Time Attention for Sequential Learning
AAAI 2021
Contract-based Inter-user Usage Coordination in Free-floating Car Sharing
AAAI 2021
Contrapositive Local Class Inference
EMNLP 2021
Contrast and Classify: Training Robust VQA Models
ICCV 2021