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)
Unsupervised Sound Separation Using Mixture Invariant Training
NeurIPS 2020
Unsupervised Speech Decomposition via Triple Information Bottleneck
ICML 2020
Unsupervised stance detection for arguments from consequences
EMNLP 2020
Unsupervised Subword Modeling Using Autoregressive Pretraining and Cross-Lingual Phone-Aware Modeling
Interspeech 2020
Unsupervised Text Generation by Learning from Search
NeurIPS 2020
Unsupervised Text Style Transfer with Padded Masked Language Models
EMNLP 2020
Unsupervised Training of Siamese Networks for Speaker Verification
Interspeech 2020
Unsupervised Transfer Learning for Spatiotemporal Predictive Networks
ICML 2020
Unsupervised Translation of Programming Languages
NeurIPS 2020
Unsupervised Vehicle Re-identification with Progressive Adaptation
IJCAI 2020
Unsupervised vs. Transfer Learning for Multimodal One-Shot Matching of Speech and Images
Interspeech 2020
Unsupervised Writer Adaptation for Synthetic-to-Real Handwritten Word Recognition
WACV 2020
UNSW System Description for the Shared Task on Automatic Speech Recognition for Non-Native Children’s Speech
Interspeech 2020
UPB at SemEval-2020 Task 8: Joint Textual and Visual Modeling in a Multi-Task Learning Architecture for Memotion Analysis
SemEval 2020
UPSTAGE: Unsupervised Context Augmentation for Utterance Classification in Patient-Provider Communication
MLHC 2020
Urban2Vec: Incorporating Street View Imagery and POIs for Multi-Modal Urban Neighborhood Embedding
AAAI 2020
Using Cyclic Noise as the Source Signal for Neural Source-Filter-Based Speech Waveform Model
Interspeech 2020
Using Multiple Subwords to Improve English-Esperanto Automated Literary Translation Quality
AACL 2020
Using noise to probe recurrent neural network structure and prune synapses
NeurIPS 2020
Using PRMSE to evaluate automated scoring systems in the presence of label noise
ACL 2020
Using the Past Knowledge to Improve Sentiment Classification
EMNLP 2020
USR: An Unsupervised and Reference Free Evaluation Metric for Dialog Generation
ACL 2020
UTFPR at SemEval-2020 Task 7: Using Co-occurrence Frequencies to Capture Unexpectedness
SemEval 2020
Utility is in the Eye of the User: A Critique of NLP Leaderboards
EMNLP 2020
Utilizing Multimodal Feature Consistency to Detect Adversarial Examples on Clinical Summaries
EMNLP 2020