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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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)
Utilizing Subword Entities in Character-Level Sequence-to-Sequence Lemmatization Models
COLING 2020
UWB at SemEval-2020 Task 1: Lexical Semantic Change Detection
SemEval 2020
UWSOD: Toward Fully-Supervised-Level Capacity Weakly Supervised Object Detection
NeurIPS 2020
Validated Variational Inference via Practical Posterior Error Bounds
AISTATS 2020
Variance-Reduced Off-Policy TDC Learning: Non-Asymptotic Convergence Analysis
NeurIPS 2020
Variational Adversarial Kernel Learned Imitation Learning
AAAI 2020
Variational Amodal Object Completion
NeurIPS 2020
Variational Bayesian Unlearning
NeurIPS 2020
Variational Imitation Learning with Diverse-quality Demonstrations
ICML 2020
Variational Interaction Information Maximization for Cross-domain Disentanglement
NeurIPS 2020
Variational Label Enhancement
ICML 2020
Variational Metric Scaling for Metric-Based Meta-Learning
AAAI 2020
Vec2Sent: Probing Sentence Embeddings with Natural Language Generation
COLING 2020
VECA: A Method for Detecting Overfitting in Neural Networks (Student Abstract)
AAAI 2020
Vector Autoregressive Weighting Reversion Strategy for Online Portfolio Selection
IJCAI 2020
Vector-Quantized Autoregressive Predictive Coding
Interspeech 2020
Vector-Quantized Neural Networks for Acoustic Unit Discovery in the ZeroSpeech 2020 Challenge
Interspeech 2020
Vector Quantized Temporally-Aware Correspondence Sparse Autoencoders for Zero-Resource Acoustic Unit Discovery
Interspeech 2020
Verb Class Induction with Partial Supervision
AAAI 2020
Verifiable RNN-Based Policies for POMDPs Under Temporal Logic Constraints
IJCAI 2020
VIBE: Video Inference for Human Body Pose and Shape Estimation
CVPR 2020
Video Cloze Procedure for Self-Supervised Spatio-Temporal Learning
AAAI 2020
Video-Grounded Dialogues with Pretrained Generation Language Models
ACL 2020
Video Object Segmentation with Adaptive Feature Bank and Uncertain-Region Refinement
NeurIPS 2020
Video Person Re-ID: Fantastic Techniques and Where to Find Them (Student Abstract)
AAAI 2020